Fall Term is just around the corner, bringing with it new opportunities, fresh faces, and the chance to make a lasting impact on your students. Whether they’re logging in for the first time or for their final term, setting a welcoming and engaging tone from day one helps create a foundation for everyone’s success, yours included.
Here are a few ways to kick things off and set the stage for a smooth, successful term:
Start with a warm welcome
Post a welcome announcement and introduce yourself to your students.
Use a warm and welcoming tone in your message to help students feel encouraged, supported, and comfortable as they enter the course.
Personalize it with a photo or short video, it goes a long way in making connections.
Open your course early
If possible, open your course before the official start date. This gives students a chance to explore, order materials, and introduce themselves.
Open modules at least two weeks ahead. Many students juggle full-time jobs, families, and other commitments, so maximum flexibility is appreciated.
Keep communication open
Set up a Q&A discussion forum, and check it regularly. This allows you to answer common questions once and ensures everyone sees the response.
Encourage students to post questions in this forum and let students know when and how they can expect replies.
Be responsive to messages and follow up with students if needed.
Model engagement
Join discussion boards and post regularly. Ask guiding questions, offer feedback, or simply cheer students on, show them you’re present and engaged.
Think about how you’d engage in a face-to-face class and bring that energy to your online space too.
Be accessible
Hold regular office hours or offer flexible scheduling options. Creating the time and space for students to connect with you makes a difference.
Grade consistently and give meaningful feedback
Timely, constructive feedback helps students grow. The effort you put in early pays off in improved work later in the term.
Stay organized
Block out time in your calendar each week for class check-ins and grading. A little planning now can prevent overwhelm and burnout later.
Take care of yourself
Don’t forget to breathe. Support your students by also supporting yourself.
Be kind to yourself and set boundaries to attend to personal commitments, too.
Here’s to a strong, successful Fall Term — you’ve got this!
Core Education at Oregon State University launched summer 2025 and is designed to deepen how students think about problem-solving in ways that transcend disciplinary-specific approaches. It aims at preparing students to be adaptive, proactive members of society who are ready to take on any challenge, solve any problem, advance in their chosen career and help build a better world (Oregon State University Core Education, 2025).
Designing Seeking Solutions Signature Core category courses presents a few challenges, such as the nature of wicked problems, cross-discipline teamwork, and the global impact of wicked problems, to name just a few. In the past eight months, instructional designers at Oregon State University Ecampus have worked intensively to identify design challenges, brainstorm course design approaches, discuss research on teamwork and related topics, and draft guidelines and recommendations in preparation for the upcoming Seeking Solutions course development projects. Here is a list of the key topics we reviewed in the past few months. 1. Wick Problems 2. Team conflict 3. Online Large Enrollment Courses
Next, I will share summaries of research articles reviewed and implications for instructional design work for each of the above topics.
Wicked Problems
A wicked problem, also knowns as ill-structure problem or grand challenge, is a problem that is difficult or impossible to solve due to its complex and ever-changing nature. Research suggests that wicked problems must have high levels of three dimensions: complexity, uncertainty and value divergence. Complexity can take many forms but often involves the need for interdisciplinary reasoning and systems with multiple interacting variables. Uncertainty typically refers to how difficult it is to predict the outcome of attempts to address wicked problems. Value divergence refers particularly to wicked problems having stakeholders with fundamentally incompatible worldviews. It is the presence of multiple stakeholders in wicked problems with incompatible viewpoints that marks the shift from complex to super complex. (Veltman, Van Keulen, and Voogt, 2019; Head, 2008) The Seeking Solutions courses expect students to “wrestle with complex, multifaceted problems, and work to solve them and/or evaluate potential solutions from multiple points of view”. Supporting student learning using wicked problems involves designing activities with core elements that reflect the messiness of these types of problems. McCune et al. (2023) from University of Edinburgh interviewed 35 instructors teaching courses covering a broad range of subject areas. 20 instructors teaching practices focused on wicked problems, while the other 15 instructors whose teaching did not relate to wicked problems. The research goal is to understand how higher education teachers prepare students to engage with “wicked problems”—complex, ill-defined issues like climate change and inequality with unpredictable consequences. The research question is “Which ways of thinking and practicing foster effective student learning about wicked problems?” The article recommended four core learning aspects essential for addressing wicked problems from their study: 1. Interdisciplinary negotiation: Students must navigate and integrate different disciplinary epistemologies and values. 2. Embracing complexity/messiness: Recognizing uncertainty and non linear problem boundaries as part of authentic learning. 3. Engaging diverse perspectives: Working with multiple stakeholders and value systems to develop consensus-building capacities. 4. Developing “ways of being”: Cultivating positional flexibility, uncertainty tolerance, ethical awareness, and communication across differences
Applications for instructional designers:
As instructional designers work very closely with course developers, instructors, and faculty, they contribute significantly to the design of Seeking Solutions courses. Here are a few instructional design recommendations regarding wicked problems from instructional designers on our team: • Provide models or structures such as systems thinking for handling wicked problems. • Assign students to complete the Identity Wheel activity and reflect on how their different identities shape their views of the wicked problems or shifts based on contextual factors. (resources on The Identity Wheel, Social Wheel, and reflection activities). • Provide activities early in the course to train students on how to work and communicate in teams; to take different perspectives and viewpoints. • Create collaborative activities regarding perspective taking. • Evaluate assessment activities by focusing on several aspects of learning (students’ ability to participate; to solve the problem; grading the students on the ability to generate ideas, to offer different perspectives, and to collaborate; evaluation more on the process than the product, and self-reflection).
Team Conflict and Teamwork
“A central goal of this category is to have students wrestle with complex, multifaceted problems, and evaluate potential solutions from multiple points of view” (OSU Core Education, 2025). Working in teams provides an opportunity for teammates to learn from each other. However, teamwork is not always a straightforward and smooth collaboration. It can involve different opinions, disagreements, and conflict. While disagreements and differences can be positive for understanding others’ perspectives when taken respectively and rationally; when disagreements are taken poorly, differences in perspectives rises to become conflict and conflict could impact teamwork, morality, and outcomes negatively. Central to Seeking Solutions courses is collaborative teamwork where students will need to learn and apply their skills to work with others, including perspectives taking.
Aggrawal and Magana (2024) conducted a study on the effectiveness of conflict management training guided by principles of transformative learning and conflict management practice simulated via a Large Language Modeling (ChatGPT 3.5). Fifty-six students enrolled in a systems development course were exposed to conflict management intervention project. The study used the five modes of conflict management based on the Thomas-Kilmann Conflict Mode Instrument (TKI), namely: avoiding, competing, accommodating, compromising, and collaborating. The researchers use a 3-phase (Learn, Practice and Reflect) transformative learning pedagogy.
Learn phase: The instructor begins with a short introduction; next, students watch a youtube video (duration 16:16) on conflict resolution. The video highlighted two key strategies for navigating conflict situations: (1) refrain from instantly perceiving personal attacks, and (2) cultivate curiosity about the dynamics of difficult situations.
Practice phase: students practice conflict management with a simulation scenario using ChatGPT 3.5. Students received detailed guidance on using ChatGPT 3.5.
Reflect phase: students reflect on this session with guided questions provided by the instructor.
The findings indicate 65% of the students significantly increased in confidence in managing conflict with the intervention. The three most frequently used strategies for managing conflict were identifying the root cause of the problem, actively listening, and being specific and objective in explaining their concerns.
Application for Instructional Design
Providing students with opportunities to practice handling conflict is important for increasing their confidence in conflict management. Such learning activities should have relatable conflicts like roommate disputes, group project tension, in the form of role-play or simulation where students are given specific roles and goals, with structured after-activity reflection to guide students to process what happened and why, focusing on key conflict management skills such as I-messages, de-escalation, and reframing, and within safe environment.
Problem Solving
Creativity, collaboration, critical thinking, and communication—commonly referred to as the 4Cs essential for the future—are widely recognized as crucial skills that college students need to develop. Creative problem solving plays a vital role in teamwork, enabling teams to move beyond routine solutions, respond effectively to complexity, and develop innovative outcomes—particularly when confronted with unfamiliar or ill-structured problems. Oppert et al. (2022) found that top-performing engineers—those with the highest levels of knowledge, skills, and appreciation for creativity—tended to work in environments that foster psychological safety, which in turn supports and sustains creative thinking. Lim et al. (2014) proposed to provide students with real-world problems. Lee et al. (2009) suggest to train students on fundamental concepts and principles through a design course. Hatem and Ferrara (2001) suggest using creative writing activities to boost creative thinking among medical students.
Application for Instructional Designers
We recommend on including an activity to train students on conflict resolution, as a warm-up activity before students work on actual course activities that involve teamwork and perspective taking. Also, it will be helpful to create guidelines and resources that students can use for managing conflict, and add these resources to teamwork activities.
Large Enrollment Online Courses
Teaching large enrollment science courses online presents a unique set of challenges that require careful planning and innovative strategies. Large online classes often struggle with maintaining student engagement, providing timely and meaningful feedback, and facilitating authentic practice. These challenges underscore the need for thoughtful course design and pedagogical approaches in designing large-scale online learning environments.
Mohammed and team (2021) assessed the effectiveness of interactive multimedia elements in improving learning outcomes in online college-level courses, by surveying 2111 undergraduates at Arizona State University. Results show frequently reported factors that increase student anxiety online were technological issues (69.8%), proctored exams (68%), and difficulty getting to know other students. More than 50% of students reported at least moderate anxiety in the context of online college science courses. Students commonly reported that the potential for personal technology issues (69.8%) and proctored exams (68.0%) increased their anxiety, while being able to access content later (79.0%) and attending class from where they want (74.2%), and not having to be on camera where the most reported factors decreased their anxiety. The most common ways that students suggested that instructors could decrease student anxiety is to increase test-taking flexibility (25.0%) and be understanding (23.1%) and having an organized course. This study provides insight into how instructors can create more inclusive online learning environments for students with anxiety.
Applications for Instructional Design
What we can do to help reduce student anxieties in large online courses: 1. Design task reminders for instructors, making clear that the instructor and the school care about student concerns. 2. Design Pre-assigned student groups if necessary 3. Design warm up activities to help students get familiar with their group members quickly. 4. Design students preferences survey in week 1. 5. Design courses that Make it easy for students to seek and get help from instructors.
As Ecampus moves forward with course development, these evidence-based practices will support the instructional design work to create high-quality online courses that provide students with the opportunities to develop, refine, and apply skills to navigate uncertainty, engage diverse viewpoints, and contribute meaningfully to a rapidly changing world. Ultimately, the Seeking Solutions initiative aligns with OSU’s mission to cultivate proactive global citizens, ensuring that graduates are not only career-ready but also prepared to drive positive societal change.
Conclusions
Instructional design for solution-seeking courses requires thoughtful course design that addresses perspective taking, team collaboration, team conflict, problem solving, and possibly large enrollments. Proactive conflict resolution frameworks, clear team roles, and collaborative tools help mitigate interpersonal challenges, fostering productive teamwork. Additionally, integrating structured problem-solving approaches (e.g., design thinking, systems analysis) equips students to tackle complex, ambiguous “wicked problems” while aligning course outcomes with real-world challenges. Together, these elements ensure a robust, adaptable curriculum that prepares students for dynamic problem-solving and sustains long-term program success.
References
Aggrawal, S., & Magana, A. J. (2024). Teamwork Conflict Management Training and Conflict Resolution Practice via Large Language Models. Future Internet, 16(5), 177-. https://doi.org/10.3390/fi16050177
Bikowski, D. (2022). Teaching large-enrollment online language courses: Faculty perspectives and an emerging curricular model. System. Volume 105
Head, B. (2008). Wicked Problems in Public Policy. Public Policy, 3 (2): 101–118.
McCune, V., Tauritz, R., Boyd, S., Cross, A., Higgins, P., & Scoles, J. (2023). Teaching wicked problems in higher education: ways of thinking and practising. Teaching in Higher Education, 28(7), 1518–1533. https://doi.org/10.1080/13562517.2021.1911986
Mohammed, T. F., Nadile, E. M., Busch, C. A., Brister, D., Brownell, S. E., Claiborne, C. T., Edwards, B. A., Wolf, J. G., Lunt, C., Tran, M., Vargas, C., Walker, K. M., Warkina, T. D., Witt, M. L., Zheng, Y., & Cooper, K. M. (2021). Aspects of Large-Enrollment Online College Science Courses That Exacerbate and Alleviate Student Anxiety. CBE Life Sciences Education, 20(4), ar69–ar69. https://doi.org/10.1187/cbe.21-05-0132
Oppert ML, Dollard MF, Murugavel VR, Reiter-Palmon R, Reardon A, Cropley DH, O’Keeffe V. A Mixed-Methods Study of Creative Problem Solving and Psychosocial Safety Climate: Preparing Engineers for the Future of Work. Front Psychol. 2022 Feb 18;12:759226. doi: 10.3389/fpsyg.2021.759226. PMID: 35250689; PMCID: PMC8894438.
Veltman, M., J. Van Keulen, and J. Voogt. (2019). Design Principles for Addressing Wicked Problems Through Boundary Crossing in Higher Professional Education. Journal of Education and Work, 32 (2): 135–155. doi:10.1080/13639080.2019.1610165.
This post was written in collaboration with Mary Ellen Dello Stritto, Director of Ecampus Research Unit.
Quality Matters standards are supported by extensive research on effective learning. Oregon State University’s own Ecampus Essentials build upon these standards, incorporating OSU-specific quality criteria for ongoing course development. But what do students themselves think about the elements that constitute a well-designed online course?
The Study
The Ecampus Research Unit took part in a national research study with Penn State and Boise State universities that sought student insight into what elements of design and course management contribute to quality in an online course. Data was collected from 6 universities across the US including Oregon State in Fall of 2024. Students who chose to participate completed a 73-item online survey that asked about course design elements from the updated version of the Quality Matters Rubric. Students responded to each question with the following scale: 0=Not important, 1=Important, 2=Very Important, 3=Essential. A total of 124 students completed survey, including 15 OSU Ecampus students. The findings reveal a remarkable alignment between research-based best practices and student preferences, validating the approach taken in OSU’s Ecampus Essentials.
See the findings in data visualization form below, followed by a detailed description.
What Students Consider Most Important
Students clearly value practical, research-backed features that make online courses easier to navigate, more accessible, and more supportive of learning. The following items received the most ratings of “Essential” + “Very Important”:
QM Standards and Study Findings
Related Ecampus Essentials
Accessibility and Usability (QM Standards 8.2, 8.3, 8.4, 8.5, 8.6): Every OSU student rated course readability and accessible text as “Very Important” or “Essential” (100%). Nationally, this was also a top priority (96% and 91%, respectively). Accessibility of multimedia—like captions and user-friendly video/audio—was also highly rated (100% OSU, 90% nationally).
Text in the course site is accessible. Images in the course are accessible (e.g., alt text or long description for images). The course design facilitates readability. All video content is accurately captioned.
Clear Navigation and Getting Started (QM Standards 1.1, 8.1): 93% of OSU students and 94% of the national sample rated easy navigation highly, while 89% of OSU students and 96% nationally said clear instructions for how to get started and where to find things were essential.
Course is structured into intuitive sections (weeks, units, etc.) with all materials for each section housed within that section (e.g., one page with that week’s learning materials rather than a long list of files in the module). Course is organized with student-centered navigation, and it is clear to students how to get started in the course.
Meaningful Feedback and Instructor Presence (QM Standards 3.5, 5.3): Students placed high importance on receiving detailed feedback that connects directly to course content (100% OSU, 94% nationally). The ability to ask questions of instructors was also essential (100% OSU, 96% nationally).
Assessments are sequenced in a way to give students an opportunity to build knowledge and learn from instructor feedback. The instructor’s plan for regular interaction with students in substantive ways during the course is clearly articulated. Information about student support specific to the course (e.g., links to the Writing Center in a writing course, information about TA open office hours, etc.) is provided.
Clear Grading Criteria (QM Standards 3.2, 3.3): 93% of OSU students and the full sample found clear, detailed grading rules to be essential.
Specific and descriptive grading information for each assessment is provided (e.g., detailed grading criteria and/or rubrics).
Instructional Materials (QM Standard 4.1): All OSU students and 92% nationally rated high-quality materials that support learning outcomes as very important or essential.
Instructional materials align with the course and weekly outcomes. A variety of instructional materials are used to appeal to many learning preferences (readings, audio, visual, multimedia, etc.). When pre-recorded lectures are utilized, content is brief and integrated into course learning activities, such as with interactive components, discussion questions, or quiz questions. Longer lectures should be shortened to less than 20 min. chunks.
What Students Consider Less Important
The study also revealed areas where students expressed less enthusiasm:
Study Findings
Related Ecampus Essentials
Self-Introductions (QM Standard 1.9): Over half of OSU students (56%) and a third nationally (33%) rated opportunities to introduce themselves as “Not Important”.
No specific EE
Peer Interaction (QM Standard 5.2): Students were lukewarm about peer-to-peer learning activities. Nearly half said that working in small groups is not important (47% OSU, 46% nationally). About a quarter didn’t value sharing ideas in public forums (27% OSU, 24% nationally) or having learning activities that encourage them to interact with other students (27% OSU, 23% nationally).
Three forms of interaction are present, in some form, in the course (student/content, student/instructor, student/student).
Technology Variety and Data Privacy Info (QM Standards 6.3, 6.4): Some students questioned the value of using a variety of tech tools (20% OSU, 23% nationally rated this as “Not Important”) or being given info about protecting personal data (20% OSU, 22% nationally).
Privacy policies for any tools used outside of Canvas are provided.
Student Comments
Here are a few comments from Ecampus students that illustrate their opinions on what makes a quality course:
“Accessible instructional staff who will speak to students in synchronous environments. Staff who will guide students toward the answer rather than either treating it like cheating to ask for help at all or simply giving out the answer.”
“A lack of communication/response from teachers and no sense of community” – was seen as a barrier.
“Mild reliance on e-book/publisher content, out-weighed by individual faculty created content that matches student deliverables. In particular, short video content guiding through the material in short, digestible amounts (not more than 20 minutes at a go).”
“When there aren’t a variety of materials, it makes it hard to successfully understand the materials. For example, I prefer there to be lectures or videos associated with readings so that I understand the material to the professor’s standards. When I only have reading materials, I can sometimes misinterpret the information.”
“Knock it off with the discussion boards, and the ‘reply to 2 other posts’ business. This is not how effective discourse takes place, nor is it how collaborative learning/learning community is built.”
Conclusion and Recommendations
The takeaways? This research shows that students recognize and value the same quality elements emphasized in OSU’s Ecampus Essentials:
Student preferences align with research-based standards – Students consistently value accessibility, clear structure, meaningful feedback, and purposeful content.
Universal design benefits everyone – Students’ strong preference for accessible, well-designed courses supports the universal design principles embedded in the Ecampus Essentials.
However, there is always room for improvement, and these data provide some hints. Many students don’t immediately see value in peer interactions and collaborative activities, even though extensive educational research shows these are among the most effective learning strategies. Collaborative learning is recognized as a High Impact Practice that significantly improves student outcomes and critical thinking. This disconnect suggests we need to design these experiences more thoughtfully to help students recognize their benefits. Here are some suggestions:
Frame introductions purposefully: Instead of generic “tell us about yourself” posts, connect introductions to course content (“Introduce yourself and share an experience related to the topic of this course”).
Design meaningful group work: Create projects that genuinely require collaboration and produce something students couldn’t create alone.
Show the connection: Explicitly explain how peer interactions help students learn and retain information better, and the value of teamwork for their future jobs.
Start small: Begin with low-stakes peer activities before moving to more complex collaborations.
Over the past few years, Higher Education (HE) has been called to action in response to the rise of Generative Artificial Intelligence (GenAI) tools. As Artificial Intelligence (AI) becomes more autonomous and capable, proactive steps are needed to preserve academic and learning integrity. This article will explore tangible strategies educators can apply to their unique program and course contexts. Only slight adjustments may be necessary to support learning processes and capture evidence of learning, as changes will build upon the excellent work that is already occurring.
Initially, the focus in HE was on understanding the potential impact these tools would have on teaching and learning. Awareness of GenAI capabilities, limitations, and risks has been acknowledged with great care. Today, the tools are now being tested, and educators are envisioning how to use them for various purposes (e.g., productivity, creativity). Integration of these tools has begun with the aim of supplementing and enhancing human learning. As we move forward, concerns with regard to academic and learning integrity become increasingly prominent.
Meet Agentic AI
Recently, I had the opportunity to attend the Quality Matters Quality in Action conference, where I attended the session Ensuring Academic Integrity and Quality Course Design in the Age of AI. The presenter Robert Gibson, Director of Instructional Design at WSU Tech, shared about an Artificial Intelligence (AI) innovation now available to the public (and our students)….meet Agentic AI!
Your new Agentic AI assistant no longer requires you to be an expert prompt engineer. These tools are designed to achieve specific and clear goals with minimal human supervision or oversight. Engagement in complex reasoning, decision making, problem solving, learning from new information, and adapting to environments can occur autonomously (Gibson, 2025; Schroeder, 2025; Marr, 2025). These new Agentic AIs can even work together to form what is known as an Orchestrated AI. Think of this as an AI team working collaboratively to accomplish complex tasks. Agentic AI has already demonstrated the capability to create and complete online courses. What does this mean for Higher Education?
Now more than ever, we need to come together to collectively reinforce academic and learning integrity in online and hybrid courses. Preserving the quality of our institutional products and credentials is essential. Equally important are the students who will apply their OSU-acquired knowledge and skills in the real world. The time to be proactive is now.
Where and how should I start?
A good starting point is to evaluate assessments that AI can complete. Running an assignment through a GenAI tool to see if it can complete the task, with relative accuracy, can produce helpful insights. Next, consider modifications to pedagogical approaches and assessment methods. The goal is to design assessments to produce and capture evidence that learning is taking place. This could include assessments that are process-oriented, focus on skill mastery, are personalized, incorporate visual demonstrations (e.g., video), and/or integrate real-time engagement (Gibson, 2025).
What might a reimagined activity look like?
For example, let us say an instructor uses case-based learning in their course, and small groups discuss real-world scenarios on a discussion board. This activity could be reimagined by having students meet virtually and record their discussion. During their real-time interaction, they examine a real-world scenario, identify associated evidence, present examples, and share their lived experiences. This would be similar to how students conduct group presentations currently. This approach could be enhanced by shifting the focus to the learning process, such as arriving at ideas and cultivating perspectives (i.e., learning, growth, development). This would be in lieu of having students find a right or wrong answer (Gibson, 2025). This approach encourages students to engage substantively, co-construct knowledge, and work together to demonstrate learning. After participating in the activity, each student could create an individual video presentation to synthesize their learning. A synthesis video could include discussing their initial perspectives (Where did I start? – prior knowledge activation), how those initial perspectives evolved (What was my cognitive process? – metacognition), what new knowledge is needed (gap analysis), and how my perspectives and knowledge change (learning reflection). This method reinforces academic and learning integrity by validating that students are learning and achieving outcomes (Bertram-Gallant, 2017).
Reflect! Take a moment to reflect on how you know that students are learning in your course(s). What evidence do you have?
While the potential for academic dishonesty cannot be entirely controlled, there should not be an assumption that students will use these tools in their coursework just because they are available. Take a moment to examine the Ecampus Research Unit’s research, “Student Perceptions of Generative AI Tools in Online Courses.” This research study explores online students’ perceptions, understanding, and use of GenAI tools. The study found that most students had not been using GenAI tools in their courses, but rather, they were primarily using GenAI tools within professional contexts. Students noted that they understood that using AI in their careers would be necessary. However, strong concerns were articulated around inaccuracies, biases, lack of reliability, propagation of misinformation, and that the use of the tools is not in alignment with their personal values and ethics. (Dello Stritto, M, Underhill, G. and Aguiar, N., 2024).
How can academic and learning integrity be reinforced?
Educators can foster academic integrity in a way that drives students’ internal motivation, self-determination, and desire to demonstrate their learning because they value the work they are doing. A multifaceted developmental approach that fosters a culture of academic integrity using various strategies in concert with one another is key (Bertram-Gallant, 2025), as no single approach can serve as a definitive solution.
Integrity teaching – Taking on the role of an active guide during course delivery and meeting students where they are developmentally is essential. This may include teaching students how to engage in critical thinking around the use of AI tools, connect the value of academic and learning integrity to their future profession, how to make well-informed decisions, and how to leverage metacognitive strategies when engaging with AI.
Integrity messaging – This approach is one that can be most effective if holistically integrated into a course. The content communicates that integrity, values, and ethics are normative within the course and will be held at the forefront of the learning community. Staged and timed messaging can be most helpful when targeted at different points in a course and as the complexity of academic work increases.
Transformative real time experiential learning – Transformative experiential learning involves designing opportunities that generate new ideas for action, which can be applied to other experiences. These activities may include, but are not limited to, service learning, internships, hands-on collaborative activities (e.g., role play, point-counterpoint discussions), and demonstrations. By focusing on real-time engagement, this approach demonstrates learning and thereby reinforces academic and learning integrity.
Deep learning – Learning opportunities focused on skill mastery and demonstration through staged attempts. This approach may necessitate a pedagogical shift focusing on development and growth (Bertram-Gallant, 2025).
Agentic AI brings exciting opportunities for the world but tangible challenges for HE. By intentionally designing assessments that lead students to demonstrate evidence of their learning and using facilitation strategies that foster a culture of academic integrity, we can harness the potential of AI to supplement learning. What is the end goal? To ensure that educational opportunities are designed to preserve and enhance learners’ critical skills and knowledge needed to thrive in their professional pursuits. Will you accept this challenge?
Trying to decide when and how to incorporate AI into your work? Take a look at the AI Decision Tree!
Need a few quick, practical strategies to get started? These recommendations aim to improve learning for both teachers and students.
Are you ready to evaluate and enhance the resiliency (i.e., flexibility, adaptability) of your course within the context of AI? Check out the new The Course AI Resilience Tracker [CART] interactive tool. This interactive tool can help you reflect on various course elements and will share personalized resources to help you get started.
Review Bloom’s Taxonomy Revisited to explore how to emphasize distinctive human skills and/or integrate AI tools to supplement the learning process.
Explore our AI Assessment Examples Library for assessment ideas designed to incorporate AI tools and strategies in your course and/or create more human-centric assessments.
Bertram Gallant, T. & Rettinger, D. (2025, March 11). The Opposite of Cheating: Teaching for Integrity in the Age of AI. University of Oklahoma Press.
Dello Stritto, M. E., Underhill G. R., & Aguiar, N. R. (2024). Online Students’ Perceptions of Generative AI. Oregon State University Ecampus Research Unit. https://ecampus.oregonstate.edu/research/publications/
Gibson, R. (2025, April 10). Ensuring Academic Integrity and Quality Course Design in the Age of AI [Conference presentation]. Quality Matters Quality in Action 2025. Virtual.
Ashlee M. C. Foster, MSEd, is a seasoned Instructional Designer with the Oregon State University Ecampus Course Development and Training Team. With a profound commitment to supporting faculty and students in online teaching and learning, Ashlee’s mission is to design high-quality and innovative educational opportunities that foster transformational learning, development, and growth. Ashlee’s learning design approaches are grounded in research-based insights, foundational learning theories, and the thoughtful integration of industry-led practices. This ensures that each educational experience is not only effective but also engaging and relevant.
Giving and receiving feedback effectively is a key skill we all develop as we grow, and it helps us reflect on our performance, guide our future behavior, and fine-tune our practices. Later in life, feedback continues to be vital as we move into work and careers, getting feedback from the people we work for and with. As teachers, the most important aspect of our job is giving feedback that informs students how to improve and meet the learning outcomes to pass our courses. We soon learn, however, that giving feedback can be difficult for several reasons. Despite it being one of our primary job duties as educators, we may have received little training on how to give feedback or what effective feedback looks like. We also realize how time-consuming it can be to provide detailed feedback students need to improve. To make matters worse, we may find that students don’t do much with the feedback we spend so much time providing. Additionally, students may not respond well to feedback- they might become defensive, feel misunderstood, or worse, ignore the feedback altogether. This can set us up for an ineffective feedback process, which can be frustrating for both sides.
I taught ESL to international students from around the world for more than 10 years and have given a fair amount of feedback. Over many cycles, I developed a detailed and systematic approach for providing feedback that looked like this.
Gaps in this cycle can lead to frustration from both sides. Each step in the cycle is essential, so we’ll look at each in greater depth in this blog series. Today, we will focus on starting strong by preparing students to receive feedback, a crucial beginning that sets the stage for a healthy cycle.
Step 1: Prepare Students to Receive Feedback
An effective feedback cycle starts before the feedback is given by laying careful groundwork. The first and often-overlooked step in the cycle is preparing students to receive feedback, which takes planned, ongoing work. Various factors may influence whether students welcome feedback, including their self-confidence going into your course, their own self-concept and mindset as a learner, their working memory and learning capacity, how they view your feedback, and whether they feel they can trust you. Outside factors such as motivation and working memory are often beyond our control,butcreating an atmosphere of trust and safety in the classroom can positively support students. Student confidence and mindset are areas in which teachers can play a crucial supporting role.
Researcher Carol Dweck coined the term “growth mindset” after noticing that some students showed remarkable resilience when faced with hardship or failure. In contrast, others tended to easily become frustrated and angry, and tended to give up on tasks. She developed her theory of growth vs. fixed mindsets to explain and expound on the differences between these two mindsets. The chart below shows some of the features of each extreme, and we can easily see how a fixed mindset can limit students’ resilience and persistence when faced with difficulties.
Mindset directly impacts how students receive feedback. Research has shown that students who believe that their intelligence and abilities can be developed through hard work and dedication are more likely to put in the effort and persist through difficult tasks, while those who see intelligence as a fixed, unchangeable quality are more likely to see feedback as criticism and give up.
Developing a growth mindset can have transformative results for students, especially if they have grown up in a particularly fixed mindset environment. People with a growth mindset are more likely to seek out feedback and use it to improve their performance, while those with a fixed mindset may be more likely to ignore feedback or become defensive when receiving it. Those who receive praise for their effort and hard work, rather than just their innate abilities, are more likely to develop a growth mindset. This is because they come to see themselves as capable of improving through their own efforts, rather than just relying on their natural talents. A growth mindset also helps students learn to deal with failure and reframe it positively. It can be very difficult to receive a critique without tying our performance to our identity. Students must have some level of assurance that they will be safe taking risks and trying, without fear of being punished for failing.
Additionally, our own mindset affects how we view student effort, and we often, purposefully or not, convey those messages to students. Teachers with growth mindsets have a positive and statistically significant association with the development of their students’ growth mindsets. Our own mindset affects the type of feedback we are likely to provide, the amount of time we spend on giving feedback, and the way we view the abilities of our students.
These data suggest that taking the time to learn about and foster a growth mindset in ourselves and our students results in benefits for all. Teachers need to address the value of feedback early on in the learning process and repeatedly throughout the term or year, and couching our messaging to students in positive, growth-oriented language can bolster the feedback process and start students off on the right foot, prepared to improve.
Here are some concrete steps you can take to improve how your students will receive feedback:
Model a growth mindset through language and actions
Include growth-oriented statements in early messaging
Provide resources for students to learn more about growth vs. fixed mindsets
Discuss the value of feedback and incorporate it into lessons
Create an atmosphere of trust and safety that helps students feel comfortable trying new things
Teach that feedback is NOT a judgment of the person, but rather a judgment on the product or process
Ensure the feedback we give focuses on the product or process rather than the individual
Praise effort rather than intelligence
Make it clear that failure is part of learning and that feedback helps improve performance
Provide students with tools and strategies to plan, monitor, and evaluate their learning
Resources for learning more about growth mindset and how it relates to feedback:
One of my favorite design strategies is to make a small adjustment that delivers a big impact. When it comes to creating a welcoming online course, certain small adjustments can do just that and go a long way in warming up the online classroom. But first, let us look at why online courses ought to be welcoming and then what it means to be welcoming in the online space.
Why Welcoming Students Is Important
First, why is it important to design a welcoming course? According to the OSU Ecampus Online Teaching Principles, which are supported by research and endorsed by Quality Matters, it is recommended to “[m]ake facilitation choices that support diverse students and make each student feel welcomed and valued.” Additionally, specific review standard 1.8 from the Quality Matters Higher Education Rubric, 7th Edition, states that “The self-introduction by the instructor is welcoming and is available in the course site.” Furthermore, UDL 3.0 Guidelines were updated recently and include “Design Options for Welcoming Interests & Identities.” While all of those are evidence-based recommendations, I think it is safe to say that many faculty also have plenty of anecdotal evidence for the benefits to students when feeling welcome in a course. If one has been working in the higher education context for several years, it is easy to forget that many students struggle to feel that they belong in this context. Warm communication and greetings is one way to begin connecting with students who are skeptical that their experience matters or that their presence is valued.
What Does It Mean To Be Welcoming?
Next, let’s look at what it means to be welcoming in the online classroom. If we get down to basics and turn to a dictionary definition, we see that Merriam-Webster has defined welcoming as “to greet hospitably and with courtesy and cordiality; to accept with pleasure the occurrence or presence of.” For the online modality then, we can ask ourselves some questions: Where in the course can facilitators greet students? When students inquire about office hours or email with a question, can their presence be warmly accepted? Next let’s look at actions that faculty or other course facilitators, such as graduate teaching assistants, can take to be welcoming.
Creating a Welcoming Online Classroom
The following tips are just a few of the actions that can be taken to create a welcoming online classroom:
Greet each student in the introduction discussion. Replying to each student is one of those actions that is small but has a big impact.
Many online students are older than the traditional college age, so they often have extensive work experience and life experiences to draw upon. Acknowledging this life experience can go a long way in welcoming students.
Rename office hours to something like Coffee Chat, Afternoon Tea, or Q&A Hour. Here is an example to consider: Which description of office hours sounds more welcoming, Example 1 or Example 2? Example 1: “Office Hours are held by appointment. Please email to make an appointment.” Let’s compare that to Example 2: “Please join me for a Coffee Chat this term! Coffee Chats are held three times per term, as an open Zoom room for our class. If you can’t attend any of the scheduled Coffee Chats, please email me and schedule a time to meet. I want to get to know each of you. Furthermore, when I get to know students, I am better positioned to serve as a reference for educational or professional opportunities that come up in our field. I look forward to meeting with you!”
Consider how students are described in the course site. Alternative descriptions besides “students” could be fellow scholars, colleagues, participants, etc.
Consider these two different introduction discussion prompt designs, 1 and 2:
Design 1: “Students: Post an introduction that includes the following: Your major and why you are taking this course. Reply to two other students.”
Design 2 (designed to be more welcoming): “Welcome, fellow engineering scholars! Please introduce yourselves so that we may all begin to get to know each other. In your post, include 1) an educational or professional goal that you have connected to this course, 2) a time management tip that you have found helpful that you are willing to share with others, and 3) a photo or fun fact about yourself. Replies to other participants are optional but encouraged.”
Ecampus Online Teaching Principles, endorsed by Quality Matters, recommend “referring to each student by name with their chosen pronouns.” Sometimes students who use a shortened nickname will say so in their introductory post, but it is also nice to include instructions for students on how to change their display name in the course site. That way, facilitators of the course, including graduate teaching assistants, if applicable, do not have to refer back to the introduction post to remember what students prefer to be called.
Takeaway
Adding a welcoming tone to a course does not mean that the whole course needs to be redesigned. A few small adjustments here and there can make a difference.
“In the Winter Term 2024, the Ecampus Research Unit conducted a survey study of 669 students who had taken online courses at OSU. The 40-item survey was designed to assess students’ knowledge and use of generative AI tools, as well as their perceptions of their use in their courses and careers. A full report of this study is available on the Ecampus Research Unit website. Based on the results of this study, several recommendations were developed to guide decision making about generative AI tools in online courses.”
Dello Stritto, Underhill, & Aguiar (2024).
This recent study highlighted three key recommendations for faculty seeking to integrate generative AI into their courses effectively:
Recommendation 1
Write a course policy about generative AI that is clearly explained.
Recommendation 2
Consider a wide range of student emotions and concerns when integrating generative AI in your online courses.
Recommendation 3
Educate students on generative AI tools.
Applying data to design
To apply these recommendations in practice, we can reorganize them into instructional design categories that foster AI resiliency in course design: Course Learning Outcomes, Learner Profiles, Learning Materials, Activities and Assessments, and Course Policies. These categories offer a comprehensive framework for integrating AI while addressing students’ concerns and enhancing learning experiences.
Course Policies: Establish Clear Guidelines for AI Usage
Reflecting Recommendation 1, developing a clear, transparent policy on AI usage is key. Faculty should articulate when and how students can use AI tools, providing specific examples of ethical use. By defining these expectations early in the course, instructors help students understand the role AI can play in their learning process, promoting academic integrity.
Learner Profiles: Address Emotional and Academic Concerns
In line with Recommendation 2, it is essential to consider students’ diverse reactions to AI—ranging from excitement to anxiety—when designing a course. This is where understanding Learner Profiles becomes critical.
Learning Materials and Activities: Ensure Relevance and Adaptability with AI
Recommendation 3 emphasizes the importance of educating students about generative AI, which can be achieved through thoughtful integration into learning materials, activities, and assessments.
Course Learning Outcomes: Integrate AI with Intentional Learning Design
The integration of generative AI tools into course design necessitates an examination of their impact on student mastery of the Course Learning Outcomes. It is vital to ensure that student use of AI tools supplement and enhance the learning process rather than bypass cognitive engagement.
With these four considerations in mind, we can now introduce a tool to help assess and improve course resilience against generative AI, while providing learners with clear policy decisions and explanations.
Introducing CART: Course AI Resiliency Tracker
In response to the clear need for effective integration of generative AI in educational settings, a new tool has been developed (as part of a wider suite of artificial intelligence tools) to assist faculty in navigating this complex landscape. This tool is designed to support instructors in evaluating how generative AI could respond to their course learning outcomes by highlighting its current capabilities to address and complete these outcomes. It facilitates a detailed understanding of learner profiles to ensure that AI applications are relevant and accessible to all students. Additionally, the tool encourages faculty to reflect on the currency and relevance of their learning materials and to assess how AI might be incorporated into activities and assignments. By examining existing course policies on AI usage and offering actionable steps for course development, this resource aims to demystify generative AI for both educators and students, promoting a thoughtful and strategic approach to its integration or decision to restrict AI.
Getting Started
Upon accessing the landing page, you will be prompted to input your Course ID, after which you may proceed by selecting the “Start” button.
Learning Outcomes
The first step in the tool involves a reflection on your Course Learning Outcomes (CLOs). At this stage, you will have the option to choose from a list of commonly used learning outcome verbs, organized by the general categories of Bloom’s Taxonomy. Note that there is a current selection limit of five CLOs at one time, and faculty with verbs absent from this list are encouraged at this time to select verbs that are most like those in their own CLOs to get feedback that will feel the most transferable.
After selecting the appropriate verbs that align with your outcomes, click on the “Test Resiliency” button. This will display feedback on how generative AI may already be able to meet expectations for common tasks associated with those action verbs.
Your Learners
Following the assessment of CLOs, the next step encourages you to consider your learners. In this section, you are invited to input relevant details about your students, including their backgrounds, career aspirations, prior knowledge, or any other contextual information that could inform your generative AI course policies. We are aware that this question might feel challenging, especially for faculty who teach all kinds of learners as part of a general education course. In this case, consider this as a more general introduction to the wide variety of learner profiles that may take the course, and how generative AI may be used from their perspective.
Your responses here, as with all inputs in the tool, will be temporarily stored and displayed on the Summary Page for your future reference.
Learning Materials
Next, the tool asks you to evaluate the relevance and adaptability of your learning materials. You may choose from the pre-set options provided, or alternatively, you can select “Other” to add customized choices based on your specific course materials.
Activities and Assessments
Next, you will be prompted to reflect on your course activities and assessments. This section includes three key questions. Two of the questions are straightforward yes-or-no inquiries, while the third invites you to select one or more methods that you currently employ to promote academic integrity in your assessments. Including this information alongside activities and assessments bolsters understanding for your learners about expected Gen AI usage, why the choice has been made, and enhances academic integrity across the entire course.
Course Policies
You will then be prompted to consider an important question: does your syllabus currently include a policy on generative AI? This reflection is crucial for ensuring transparency and consistency in how AI is addressed throughout your course design. After choosing one of the answers, you will be able to select from some key elements to include in your AI usage policy.
Next Steps
Finally, the tool concludes by prompting you to consider the next steps in your course development, offering guidance on how to proceed with integrating generative AI effectively. Each choice offers different recommendations as automatic feedback, and you are encouraged to read through them all before moving onto the final summary.
Summary Page
At the conclusion of the tool, you will be directed to a Summary Page that consolidates all your previous inputs, along with the guidance and recommendations provided throughout the process. This comprehensive summary can be printed or saved as a PDF for future reference and review.
The benefits of using the tool
Recommendation 1: A clearly explained course policy
The new tool supports this recommendation by guiding instructors to design course policies that offer clear instructions to learners on what is allowed and disallowed, and most importantly to give rationales behind these policy decisions.
Recommendation 2: Considering learner profiles
The tool helps instructors map these profiles to ensure that generative AI is integrated in ways that are accessible, equitable, and aligned with the emotional and cognitive needs of different students. By anticipating student concerns, instructors can provide thoughtful guidance on how AI will or will not be used in various course activities and assessments.
Recommendation 3: Ensure Relevance and Adaptability with AI
The tool helps instructors evaluate the relevance and adaptability of their current materials by offering pre-set options or the ability to add customized choices. This process ensures that course content remains up-to-date and flexible enough to incorporate generative AI effectively or alternatively, provides avenues to secure assessments against AI generated content.
Course Learning Outcomes: Integrate AI with Intentional Learning Design
The tool supports this by guiding instructors through a reflection on their CLOs, offering a selection of commonly used learning outcome verbs categorized by Bloom’s Taxonomy. It also helps educators recognize the extent to which generative AI can currently accomplish many of these learning outcomes, providing valuable insights into the specific areas where AI might enhance or support course goals. the purpose of this is to ensure that AI integration choices are not just incidental, but strategically aligned with fostering critical thinking, creativity, and problem-solving skills within the broader context of your course objectives.
Conclusion
In response to the growing need for effective AI integration, this new tool helps faculty navigate the complexities of incorporating generative AI into course design. By addressing Course Learning Outcomes, Learner Profiles, Learning Materials, Activities and Assessments, and Course Policies, the tool promotes a strategic approach that aims to demystify AI for both educators and students. With thoughtful integration, well-designed generative AI policies can enhance learning experiences, help prepare students for future, teach learners to avoid potential pitfalls, and maintain the academic integrity of online courses.
MTH 112Z at Oregon State University is designed to prepare students for calculus and related disciplines. This course explores trigonometric functions and their applications as well as the language and measurement of angles, triangles, circles, and vectors. These topics are explored symbolically, numerically, and graphically in real-life applications. MTH 112Z is designated as a Common Course Numbering (CCN) in the state of Oregon, ending with “Z” in the course number. When transferring to an Oregon public college or university, “CCN courses will be accepted as if they were taken at the institution students transfer to (that is, the receiving institution)” (State of Oregon, 2023).
An instructor from the math department and Tianhong Shi from Ecampus collaborated in designing a brand-new version of MTH 112 to meet the new Core Ed requirements for Oregon State University and Z course requirement for the state of Oregon. At the beginning of this project, the design team identified major challenges of this course as follows: 1. Content challenges 2. Low motivation for some students to continue studying math at this level after initial frustration in this course. 3. Low interest in participation in class discussions.
The instructor and Tianhong met regularly to discuss the challenges, brainstorm strategies for solutions, and delineate a plan to implement practical solutions for MTH 112Z. The solutions that were implemented in the course include:
1. Creating a safe and inclusive learning environment that students will feel they belong here. 2. Creating short animated stories of how math operates in people’s real life, each video is about or less than 30 seconds long. The purpose of these animations is to build a bridge between math learning and real life and to motivate students to learn the topics of each unit. 3. Helping students to identify the steps in solving a math problem to scaffold learning and build learning success step by step. 4. Creating “Make Learning Fun” discussion topics: Research (Purinton and Burke, 2019; Tews, et.al., 2014) tells us that when students feel emotionally relaxed and happy, learning is more effective. Therefore, one “Make Learning Fun” discussion forum is created for each unit.
Building an Inclusive and Trusting Learning Community where Students Belong College belonging is defined as “students’ perceived social support on campus, a feeling or sensation of connectedness, the experience of mattering or feeling cared about, accepted, respected, valued by, and important to the group”, according to Strayhorn (2018, p.4). The strategies used to build an inclusive and trusting learning community in MTH 112Z included the following: 1. In Start Here Module, the instructor made a video covering Artificial Intelligence (AI), academic integrity, honesty, and diversity, to explicitly explain the expectations for this course regarding academic integrity and why it is so. 2. Also in Start Here Module, the instructor built a “Name Tents 112Z” discussion board for students to introduce themselves, setting an example by introducing the instructor himself first. 3. There is a Diversity Forum where students can post comments that they would want the instructor to know about themselves to make learning more inclusive.
Making Content Relevant In addressing the challenging content, the instructor identified concepts that would be better explained through a set of short animated videos, recorded the audio narratives, and the media team helped creating the short animations. For example, at the beginning of unit 4 is an animation about finding the length of a tall tree on campus. And here is the transcript of the video: “The Trees on the O S U campus, are wonderful . how tall are the cedar trees by the memorial union? if you measure the angle from the ground to the top of the tree and know the distance you’re standing away from the tree, you can compute it. Make a triangle and set up an equation to get the height. Which function would you use?” And here is the transcript of unit 5 animation video: “You can get swept away in a river. Oregon has many great rivers for boating. When you were kayaking, you need to account for how much the current will push you off course, this can be done with vector. One vector represents the river’s flow with direction and strength, another vector is the direction which you kayak. The results of these two added together is the direction you end up going. If you want to reach a certain point on the other side, where should you aim?” We can see from these two examples that they are relevant to student lives (trees and kayaking) and relevant to the topics of the units. And these animations tell short stories, hoping to motivate students for learning.
Scaffolding Toward Learning Success Scaffolded learning activities provide students a supportive learning environment (Dennen, 2004). In each unit’s content discussion forum and homework assignment, students explore problem solving step by step and discuss with each other to help them build confidence and fluency in problem solving. By such a design, the design team hoped students would get the support they needed and would be able to easily identify where they did wrong and how to improve or correct based on the feedback they receive from the online homework system and from the instructor and Teaching Assistants.
Making Learning Fun Emotional health is important for students’ learning success. Research suggests there is a significant positive relation between fun delivery of content and the forms of engagement (Tews, et al., 2014). Schwartz et al. (2016) also recommend building fun elements in learning for effective teaching and learning. So the design team strived to build elements of fun into the course. The short animations are meant for fun. In addition, each unit has a “Just For Fun” discussion forum to bring students’ attention to learning and promote motivation. Below are examples of these discussions:
Unit 1 Just for Fun: Please read through this survey and describe how you would answer the questions. (The survey was about having students imagine themselves navigating through the forest on foot and trying to find their way to their cabin.)
Unit 2 Just for Fun: What do you think of the animation?
Unit 3: Just for Fun: Please take a picture of something you can model with a sine function as you have been studying in this module. It could be a windmill if you live near a windmill, or an ocean if you live near an ocean. Make sure it is a picture that you have taken and then explain briefly what it is and how you would model its movement.
Unit 4 Just for Fun: Describe a time when you could feel the effect of the wind or water current as you were moving. For example, winters in Oregon are blustery and you can get blown around when you are biking. Or you can describe a way that you would use vectors in your own life.
Unit 5 Just for Fun: This is it! you’re almost done– What was a topic in the course that was interesting to you? or what was a topic that didn’t seem to be useful?
That is what we did to make introductory college math fun, inclusive and learnable. If you have ideas for math or STEM course design, feel free to share with us (Tianhong.shi@oregonstate.edu). The more, the better!
References Dennen, V. P. (2004). Cognitive apprenticeship in educational practice: Research on scaffolding, modeling, mentoring, and coaching as instructional strategies. In D. H. Jonassen (Ed.), Handbook of Research on Educational Communications and Technology (2nd ed.), (p. 815). Mahwah, NJ: Lawrence Erlbaum Associates.
Hogan, K., and Pressley, M. (1997). Scaffolding student learning: Instructional approaches and issues.Cambridge, MA: Brookline Books.
Huck, C and Zhang, J., Efects of the COVID-19 Pandemic on K-12 Education: A Systemic Literature Review. Educational Research and Development Journal. Summer 2021, Vol. 24.
Purinton, E. and Burke, M. (2019). Student Engagement and Fun: Evidence from the Field. Business Education Innovation Journal, Volume 11 Number 2, P133-P140.
Schwartz, D. L., Tsang, J. M., & Blair, K. P. (2016). The ABCs of how we learn : 26 scientifically proven approaches, how they work, and when to use them (First edition.). W.W. Norton & Company, Inc.
Strayhorn, T. L. (2018). College students’ sense of belonging. Routledge. https://doi-org.oregonstate.idm.oclc.org/10.4324/9781315297293
Tews, M. J., Jackson, K., Ramsay, C., & Michel, J. W. (2014). Fun in the college classroom: Examining its nature and relationship with student engagement. College Teaching, 63(1), 16-26.
In our hyper-connected world, it’s tempting to think that technology like Google, Generative Artificial Intelligence, and our smartphones have rendered memory obsolete. But is that really true?
There has been a growing backlash against memorization in education, with critics claiming it’s outdated and harmful to creativity and critical thinking. But here’s the kicker: memory actually supports robust, transferable thinking skills. Memory and thinking aren’t enemies – they’re complementary partners in learning.
Despite the “Google it” mentality, memory remains crucial. It’s not just about recalling facts; it’s about building a foundation for critical thinking and creativity. For one thing, it’s impossible in certain situations to stop and look things up (think emergency room doctors or lawyers during a trial). But more than that, our own memorized knowledge in a discipline allows us to consider context and practice skills fluently.
We’re all familiar with Bloom’s taxonomy and its bottom level: “Remembering”. Michelle Miller recommends that, instead of viewing memory as the “lowest” level of thinking, consider it the foundation. Higher-order thinking skills interact with and reinforce memory, creating a two-way street of learning.
The Power of Testing
Contrary to popular belief, quizzes and tests aren’t the enemy. Research shows that retrieval practice actually strengthens long-term retention, supports complex skills, and can even reduce test anxiety. It’s not about memorizing for the test; it’s about reinforcing learning.
In addition, “pre-quizzing” – that is, giving a quiz before introducing the material (ungraded or graded for participation only) – has been shown to help activate prior knowledge, integrate new information into existing schemas, and identify gaps or misconceptions that instructors can address.
Attention Spans: Not What You Think
The idea that “attention spans are shrinking” isn’t backed by solid science. In fact, in attention research there’s no such thing as “attention span”! And that “Students can only pay attention for 10 minutes at a time” idea? It’s based on outdated, poorly designed studies.
What about the idea that technology worsens our attention? There is no strong evidence that technology is affecting our ability to pay attention. While people often report this phenomenon (about themselves or others), a more likely explanation seems to be our decreased tolerance for boredom rather than our actual ability. However, smartphones can indeed be very distracting, and they can also affect memory negatively through the “I can Google it” effect – the expectation that information will be available online anytime can reduce our memory encoding.
Handwriting vs. Typing: It’s Complicated
The debate over handwritten versus typed notes isn’t as clear-cut as you might think. What matters most is your note-taking strategy. The best notes, regardless of medium, involve synthesizing ideas rather than transcribing verbatim.
Enhancing Memory in the Classroom
The good news is that there are many things an educator can do to help students remember essential content. Here are some strategies:
Create meaning and structure: When we process information deeply and evaluate it for meaning we remember it better than when we perform shallow processing. Organizational schemes like narrative structures help information stick, and active learning techniques such as project-based learning ensure a deeper level of engagement with the content.
Connect to prior knowledge: Ask questions to elicit information, draw explicit connections with previous material, and use pre-quizzing to help students see the gaps and stimulate curiosity.
Embrace visualization: We’re visual creatures – use this to engage your audience. Create and ask students to create mind-maps, infographics, or other visual representations.
Engage emotions: Both positive and negative emotions can enhance memory, but aim for a supportive atmosphere, which has been shown to improve learning outcomes. The emotion of surprise is a powerful memory enhancer.
Connect to goals: Show how information is relevant to students’ immediate objectives.
Use the self-reference effect: Relating information to oneself boosts memory. Ask students to bring their own experience or interests into the learning process through personalized assignments.
Implement retrieval practice: Regular quizzing with immediate feedback can significantly boost retention.
Space it out: Distribute practice over time instead of cramming.
Conclusion
In this age of information overload, understanding how memory works is more crucial than ever. By debunking myths and implementing evidence-based strategies, we can help students navigate the digital landscape while building strong, adaptable minds. I’ve only touched on a few points, but this book is chock-full of interesting information that’s useful not just for educators but for everyone!
What myths about memory and technology have you encountered in your teaching? How might you incorporate these insights into your classroom? Share your thoughts in the comments below!
References
Miller, M. D. (2022). Remembering and forgetting in the age of technology: teaching, learning, and the science of memory in a wired world (1st ed.). West Virginia University Press.
The idea of creating equitable learning environments is at the core of inclusive practices. Many educators argue that equitable learning environments are essential for student success, but what does this mean in practice? Inclusive practices build upon the premise that design and teaching should adapt to support students’ unique needs, fostering student agency. Student-centered approaches prioritize equity over equality. It’s crucial to understand that equity, which tailors resources and opportunities to individual needs, fundamentally differs from equality, which assumes that students should receive the same treatment and that this treatment is thus fair for all.
Equity refers to the “removal of systemic barriers and biases (e.g., policies, processes, outcomes), enabling all individuals to have equal opportunity to access and benefit from resources and opportunities.” (University of Waterloo, n.d.). Equity in online learning means removing barriers to participation. This is especially true for underrepresented groups, first-generation students, and those with different learning styles. Barriers include accessing materials, completing assignments, and interacting with peers and instructors. Applying an equity lens to online and hybrid design and facilitation involves many factors. Among these, structure, flexibility, and feedback are particularly critical. In this post, we will explore these elements from the perspective of the course as a whole. This will set the stage for a deeper examination of these same elements at the assessment level in my next blog post. Stay tuned!
Provide short descriptions for each learning material and their value in the learning process. What do students gain from reading or watching the required material for the remaining activities?
Include a purpose statement in each assignment and how it contributes to learning and achieving outcomes. How are the assessments connected to the overall goal of the course?
Design assessments that promote active learning, higher-order thinking, and student agency. How are students involved in the learning process? How do students apply concepts? Do assessments reflect meaningful personal experiences?
Make the module content, format, and requirements consistent. How are students expected to participate in discussions? Are there activities that can benefit students from peer learning and interaction? For example, create spaces for students to collaborate and support each other beyond the traditional discussion boards.
Build in multimodalities for content and assessments. What are the skills that are being asked in the assignment (e.g., emphasize writing or deepening concept understanding)? Are there other ways in which students can demonstrate their learning? For example, rather than a written paper, consider allowing students to submit an audio recording, a multimedia presentation, a collage, etc.
Provide a clear course schedule with regular milestones and check-in points to support learning. For instance, incorporate scaffolding into course activities and assessments with low-stakes and formative assessments.
Flexibility
While a clear and robust course structure is essential for guiding students through the learning process, it’s equally important to recognize the role flexibility plays in supporting diverse learners. Flexibility does not mean a lack of academic integrity or rigor. Flexibility can mean many things for many people therefore, it is important to clarify its intention, meaning, and place in the course. The most common use of flexibility in the online classroom is for extensions on assignments, which can help reduce instructor bias and increase student engagement and agency (Ruesch & Sarvary, 2023). How else can flexibility be incorporated into an online course? Following, there are a few ideas and questions to guide the decision about flexibility:
Consider updating late submission policies. Ensure that students know what to expect if unforeseen circumstances prevent them from submitting assignments by the due date. Be cognizant that life happens to everyone, and we need to offer kindness and empathy to students. How can an “automatic” late assignment policy work within the nature and scope of the course?
In selecting materials, identify multiple formats students can use to gain knowledge. Are there media-based materials that provide the textbook content in an alternative way (e.g., audiobook, ebook)?
Design assignments that include choice for students to select the format or topic of their preference. Do assignments need to all be written? Where can students choose their own topic for a project?
Feedback
While structure and flexibility are essential components of an inclusive learning environment, they alone are insufficient. Research suggests that instructor presence is fundamental to developing a sense of belonging and connection in the online environment. In addition, instructor feedback is as critical as presence to promote learning. Instructor feedback can help students identify the areas to improve. It can also help instructors identify additional resources to support students. Providing students feedback is mutually beneficial. Students receive actionable feedback on their progress and instructors learn what works in the course and what to improve. Let’s explore some ideas for feedback as a framework to build a connection with students:
Create feedback guidelines that communicate to students what to expect from you and when. When will assignments be graded and grades reported? How soon will you respond to email questions?
Consider offering feedback in multiple formats, such as audio or video in addition to text. Reflect on which activities might benefit from the added context and personal connection audio/video feedback would provide?
Prepare rubrics or grading guidelines that clearly indicate to students how the assignments will be graded. Ensure the rubrics are connected to the purpose and expectations of the assignments.
Give students actionable feedback that shows students their learning progress and guides them on how to improve.
Design the course modules to include feedback and revision steps. This approach will help students see how all course components are connected and contribute to meeting the course outcomes.
Include peer feedback (peer review) that 1) gives students guidance on how to conduct a peer review, and 2) enhances their critical thinking and perspectives by reading peers’ work.
Educators can move away from a one-size-fits-all approach by intentionally combining structure, flexibility, and feedback. This creates an environment that addresses the diverse and unique needs of all students and ensures every student has an equal opportunity to succeed, regardless of where they start.
References
Eddy, S. L., & Hogan, K. A. (2014). Getting under the hood: how and for whom does increasing course structure work?. CBE life sciences education, 13(3), 453–468. https://doi.org/10.1187/cbe.14-03-0050
Ruesch, J. M., & Sarvary, M. A. (2024, March). Structure and flexibility: systemic and explicit assignment extensions foster an inclusive learning environment. In Frontiers in Education (Vol. 9, p. 1324506). Frontiers Media SA.
University of Waterloo (n.d.). Humanizing Virtual Learning. https://ecampusontario.pressbooks.pub/humanizinglearningonline/
