Meet Agentic AI: Implications for Academic and Learning Integrity

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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?

Ecampus Artificial Intelligence Tools Resource Inventory

  • 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.

Sources

About the Author

Connect with Ashlee! Email | Linkedin

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.

Liminal Space: Belonging and UDL 3.0

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This is a guest post by Winter 2025 Ecampus Instructional Design Intern Terrence Scott.

Creating Online Learning Spaces Where Adult Learners Belong

Today’s college students are increasingly adults returning to education to pursue career shifts, personal growth, or new credentials. Yet, this return often brings discomfort. Adult learners find themselves in a liminal space, caught between who they were and who they are becoming as students. This “in-between” state is a psychological and social threshold where identity and belonging are in flux (Maksimović, 2023; Turner, 1969).

Liminal space is defined as “characterized by the questioning and reexamination of one’s identity, often as a result of transitional moments in an individual’s life such as separation, loss, and conflicts” (Maksimović, 2023). Rather than a moment, adult learners experience the entire educational journey—from enrollment to graduation—as a liminal space. Supporting learners through this journey requires intentional course design that centers on inclusion and belonging.

Online Learning as a Threshold

As Johnson (2022) and Maksimović (2023) describe, adult learners often navigate identity shifts as they move from familiar roles in work or family life into the unfamiliar space of studenthood. For some, prior negative school experiences further intensify feelings of isolation during this transition.

Adult learners in liminal space often struggle with:

  • Imposter Syndrome: “Am I really capable of doing this?”
  • Identity Conflict: “Am I a student now, or still just a working professional?”
  • Social Isolation: “Do I belong here, or am I too different from my classmates?”
  • Fear of Failure: “What if I don’t succeed and let myself or my family down?”

Without a strong sense of belonging, these feelings can lead to disengagement or dropout. But when courses are designed to recognize this liminal space, learners are more likely to persist and thrive (Mezirow, 1991).

The Role of Belonging in Adult Learning

Belonging is a powerful driver of student success, especially for those from nontraditional backgrounds. It’s not just about showing up—it’s about feeling seen, respected, and included. When learners experience psychological safety and validation, motivation and commitment grow (Strayhorn, 2019).

How Does Belonging Develop?

  1. Representation: Course content should reflect diverse identities and lived experiences.
  2. Identity Validation: Recognize the knowledge adult learners bring with them.
  3. Connection: Encourage interaction through group work, discussion forums, or mentorship.
  4. Flexibility: Design with life responsibilities in mind—multiple paths to participation and success.

These elements help learners cross the threshold from “outsider” to “insider,” evolving from questioning their role in higher education to fully embracing it.

UDL 3.0: Designing for Inclusion and Belonging

Universal Design for Learning offers a framework for inclusive online course design. The latest iteration, UDL 3.0, centers identity, belonging, and engagement more explicitly than ever (CAST, 2024). It urges instructors to create spaces where students feel welcomed and recognized, not just accommodated.

How UDL Supports Adult Learners in Liminal Spaces

  • Engagement: Make content relevant with real-world examples, reflection exercises, and collaborative activities.
  • Representation: Use varied media—text, video, podcasts, interactive tools—and include voices that reflect learners’ identities.
  • Action & Expression: Offer multiple ways to demonstrate understanding with flexible formats, low-stakes practice, and accommodations for life’s demands.

When courses reflect these principles, adult learners gain the confidence to move through uncertainty and emerge with a stronger academic identity.

Conclusion

Liminal spaces—the uncertain, transitional moments in adult learning—can be both challenging and transformative. While some learners struggle with identity shifts, imposter syndrome, or social isolation, institutions that prioritize belonging and inclusive design can help them navigate these transitions successfully.

Higher education can foster a sense of belonging and empowerment for adult learners by integrating UDL 3.0 principles into course design and student support services. Welcoming students, valuing their diverse experiences, and establishing supportive learning environments are essential to addressing students’ unique needs and ensuring their success.

References

  • CAST (2024). UDL Guidelines 3.0: Universal Design for Learning.
  • De Abreu, K. (2023, August 7). Extreme coming of age rituals. ExplorersWeb. Link
  • Johnson, K. (2022). Beginning, Becoming and Belonging: Using Liminal Spaces to Explore How Part-Time Adult Learners Negotiate Emergent Identities. Widening Participation and Lifelong Learning, 24(2).
  • Maksimović, M. (2023). Insights from Liminality: Navigating the Space of Transition and Learning. Sisyphus–Journal of Education, 11(1).
  • Mezirow, J. (1991). Transformative dimensions of adult learning. Jossey-Bass.
  • Turner, V. (1969). The ritual process: Structure and anti-structure. Cornell University Press.
  • Strayhorn, T. L. (2019). College Students’ Sense of Belonging: A Key to Educational Success for All Students (2nd ed.). Routledge.

Improving the Feedback Cycle, Part 2

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chart describing the steps in the feedback process

In part one of this two-part blog series, we focused on setting the stage for a better feedback cycle by preparing students to receive feedback. In part two, we’ll discuss the remaining steps of the cycle- how to deliver feedback effectively and ensure students use it to improve.

In part one, we learned about the benefits of adding a preliminary step to your feedback system by preparing students to receive suggestions and view them as helpful and valuable rather than as criticism. If you haven’t read part one, I recommend doing so before continuing. This first crucial but often overlooked step involves fostering a growth mindset and creating an environment where students understand the value of feedback and learn to view it as a tool for improvement rather than criticism. 

Step 2: Write Clear Learning Outcomes

The next step in the cycle is likely more familiar to teachers, as much focus in recent decades has been placed on developing and communicating clear, measurable learning outcomes when designing and delivering courses. Bloom’s Taxonomy is commonly used as a reference when determining learning outcomes and is often a starting point in backwards design strategy. Instructors and course designers must consider how a lesson, module, or course aligns with the learning objectives so that students are well-equipped to meet these outcomes via course content and activities. Sharing these expected outcomes with students, in the form of CLOs and rubrics, can help them to focus on what matters most and be better informed about the importance of each criterion. These outcomes should also inform instructors’ overall course map and lesson planning. 

Another important consideration is ensuring that learning outcomes are measurable, which requires rewriting unmeasurable ones that begin with verbs such as understand, learn, appreciate, or grasp. A plethora of resources are available online to assist instructors and course designers who want to improve the measurability of their learning outcomes. These include our own Ecampus-created Bloom’s Taxonomy Revisited and a chart of active and measurable verbs from the OSU Center for Teaching and Learning that fit each taxonomy level.

Step 3: Provide Formative Practice & Assessments

The third step reminds us that student learning is also a cycle, overlapping and informing our feedback cycle. When Ecampus instructional designers build courses, we try to ensure instructors provide active learning opportunities that engage students and teach the content and skills needed to meet our learning objectives. We need to follow that up with ample practice assignments and assessments, such as low-stakes quizzes, discussions, and other activities to allow students to apply what they have learned. This in turn allows instructors to provide formative feedback that should ideally inform our students’ study time and guide them to correct errors or revisit content before being formally or summatively graded. Giving preliminary feedback also gives us time to adjust our teaching based on how students perform and hone in on what toreview before assessments. Providing practice tests or assignments or using exam wrappers, exit cards, or “muddiest point” surveys to collect your students’ feedback can also be an important practice that can help us improve our teaching.

Step 4: Make Feedback Timely and Actionable

Step four is two-fold, as both the timeliness and quality of the feedback we give are important. The best time to give feedback is when the student can still use it to improve future performance. When planning your term schedule, it can be useful to predict when you will need to block off time to provide feedback on crucial assignments and quizzes, as a delay for the instructor equates to a delay for students. Having clear due dates, reminding students of them,  and sticking to the timetable by giving feedback promptly are important aspects of giving feedback.

To be effective, feedback must focus on moving learning forward. It should target the identified learning gap and suggest specific steps for the student to improve.. For a suggestion to be actionable, it should describe actions that will help the student do better without overloading them with too much information- choose a few actionable areas to focus on each time. Comments that praise students’ abilities, attitudes, or personalities are not as helpful as ones that give them concrete ways to improve their work.

Step 5: Give Time to Use Feedback and Incentive it

The last step in the cycle, giving students time to use the feedback provided, is often relegated to homework or ignored altogether. Feedback is most useful when students are required to view it and preferably do something with it, and by skipping this important step, the feedback might be ignored or glanced over perfunctorily and promptly forgotten. To close the loop, students must put the feedback to use. This can be the point where your feedback cycle sputters out, so be sure to make time to prioritize this final step. Students may need assistance in applying your feedback. Guiding students through the process, and providing scaffolds and models for using your feedback can be beneficial, especially during the initial attempts.

In my experience, it never hurts to incentivize this step: this can be as simple as adding points to an assignment for reflecting on the feedback given or giving extra credit opportunities around redone work. As a writing teacher, I required rewrites for work that scored below passing and offered to regrade any rewritten essays incorporating my detailed feedback. This proved to be a good solution, and while marking essays was definitely labor intensive, I was rewarded with very positive feedback from my students, often commenting that they learned a lot and improved significantly in my courses.

Considerations

A robust feedback cycle often includes opportunities for students to develop their own feedback skills by performing self-assessments and peer reviews. Self-assessment helps students in several ways, promoting metacognition and helping them learn to identify their own strengths and weaknesses. It also allows students to reflect on their study habits and motivation, manage self-directed learning, and develop transferable skills. Peer review also provides valuable practice honing their evaluative skills, using feedback techniques, and giving and receiving feedback, all skills they will find useful throughout adulthood. Both self-assessment and peer review give students a deeper understanding of the criteria teachers use to evaluate work, which can help them fine-tune their performance. 

Resources for learning more:

Feedback

Learning Outcomes

Self-assessment

Peer review

Improving the Feedback Cycle, Part 1

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graphic image of the five steps in the feedback cycle

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, but creating 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. 

graphic of brain with growth mindset hallmarks on the left and fixed mindset ideas on the right.

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:

Stay tuned for part 2, covering the remaining steps in the feedback cycle. 

Welcoming Online Students

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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.

Recommended Readings for Further Interest

Boosting Student Success: Proactive Outreach Strategies with Canvas (Part 1)

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As we design and plan the facilitation of our online courses, identifying strategies that help to foster an inclusive learning environment is essential. One effective strategy to achieve this goal is through proactive outreach, which helps to build strong relationships and ensure that all students receive the support they need to succeed.

Canvas provides a variety of tools that make it easier and quicker to connect directly with students who need support. In this post, we will look at a component of the Gradebook called the “Message Students Who” feature.

This messaging feature is a tool that allows instructors to send targeted messages to students based on specific criteria. Targeted, proactive messages not only enhance engagement but also align with the principles of inclusive design by addressing the diverse needs of students in a timely and personalized manner.

Accessing the Message Students Feature From the Canvas Gradebook

See the steps below for a guide on how to access this feature and the options available.

Open Gradebook

In Course Navigation, click the Grades link.

Open Gradebook

Open Assignment Menu

Hover the cursor over the assignment or assignment group column header and click the Options icon.

Open Assignment

Message Students

Click the Message Students Who link to open a message.

Message Students

View Compose Message

In the Compose Message window, you can select a category of students to message [1], manage the recipients [2], enter a message title [3], and compose a message [4].

View Compose Message

Message Students Who…

You can choose from several categories to message students:

  • Have not yet submitted: Students who haven’t submitted the assignment.
  • Have not been graded: Students whose assignments have not yet been graded.
  • Scored less than [point value]: Students who earned a grade on their assignment less than a specified number of points.
  • Scored more than [point value]: Students who earned a grade on their assignment more than a specified number of points.
  • Reassigned: Students who have submitted an assignment and you have reassigned it to them.

Although one message will be sent to multiple students at the same time, each student will receive an individual message. This helps to build the relationship you have with each student, and provides them a 1-1 space to share personal concerns or needs with you.

Considerations

It’s important to be intentional with proactive outreach and consider the tone and wording when messaging students using this tool. Offering empathy and using inclusive language will help encourage students to be responsive and stay engaged with the course.

There may be information shared that requires a referral for additional student support. Faculty can reach out to Ecampus Faculty Support or Ecampus Student Services for support in identifying the correct referral.

Benefits of Proactive Outreach

  1. Timely Interventions: By identifying students who are struggling or falling behind, you can intervene early. This can prevent minor issues from becoming major obstacles to their success.
  2. Personalized Support: Tailoring your messages to address specific concerns shows students that you are attentive to their needs, which can boost their motivation and engagement. Students are more likely to utilize resources and ask for help when needed, knowing that you are present and available.
  3. Increased Engagement: Regular communication helps maintain connection and strengthens the relationship between instructors and students. The Ecampus student population is largely made up of working adults, who have dependents and outside responsibilities. Your touching base helps to encourage them to stay active and engaged in the course.

Students have shared feedback in past annual surveys that some of the most impactful experiences they had as an online student at OSU were related to their instructor reaching out to them in a time of need. The “Message Students Who” tool in Canvas helps to lower the barrier of time for faculty to reach students in need and offer their support. For more information on this tool, please see the Canvas guide: How do I send a message to students from the Gradebook?

Resources

  1. Ecampus Online Teaching Principles
  2. Improving Student Engagement and Connection in Online Learning through Proactive Support (CDT Blog)
  3. Demonstrating Care: Reach Out and Refer (CDT Blog)
  4. Behind the Buzzword: Creating Belonging For Online Students at OSU (CDT Blog)
  5. Infographic: 4 Ways To Proactively Support Online Students
  6. Canvas Guide: How do I send a message to students from the Gradebook?

Introducing the Course AI Resilience Tracker Tool

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Background

“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.

Course AI Resilience Tracker Tool Getting Started Page

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.

Course AI Resilience Tracker Learning Outcomes Page

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.

Course AI Resilience Tracker Your Learners Page

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.

Course AI Resilience Tracker Learning Materials Page

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 AI Resilience Tracker Activities and Assessments Page

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.

Course AI Resilience Tracker Course Policies Page

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.

Course AI Resilience Tracker Next Steps Page

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.

License and Attribution

License

Course AI Resilience Tracker Tool, created by Oregon State University Ecampus, is licensed under Creative Commons Attribution-NonCommercial 4.0 International

Text Content and Guidance

Ashlee Foster, Dana Simionescu, Philip Chambers, Katherine McAlvage, and Cub Kahn

HTML/JavaScript Development

Philip Chambers

References

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/

Helpful Links

Belonging, Fun and Scaffolding in Introductory College Math Course

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animations for MTH 112Z

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.

State of Oregon. (2023). The Oregon Transfer Compass. Retrieved at https://www.oregon.gov/highered/about/transfer/pages/transfer-compass.aspx


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.

Debunking Myths: Memory, Attention, and Technology in Education

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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?

I recently participated in a book club offered by Oregon State University’s Center for Teaching and Learning. The book we read, Remembering and Forgetting in the Age of Technology: Teaching, Learning, and the Science of Memory in a Wired World by Michelle D. Miller, challenges misconceptions about how technology affects our memory and attention and offers valuable insights for educators. Let’s explore some key takeaways.

Memory Still Matters

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:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. Connect to goals: Show how information is relevant to students’ immediate objectives.
  6. 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.
  7. Implement retrieval practice: Regular quizzing with immediate feedback can significantly boost retention.
  8. 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.

Structure, Flexibility, and Feedback as an Equity Strategy

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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!

Structure

Instructors often express concerns that students are not fully engaging with the learning materials, such as readings, lectures, videos, or interactives. Additionally, their concerns extend to students superficially responding to discussions or completing assignments without demonstrating critical thinking or analysis of key concepts. In some cases, superficial engagement can undermine the depth of learning and overall course effectiveness. If we think of a course as an ecological system, where all the elements are interconnected and even co-dependent, having a clear and robust structure is crucial. A well-structured course can better prepare and encourage students “both to distribute their studying throughout the term and to spend more time on behaviors related to graded assignments.” (Eddy & Hogan, 2014). So, what does structure entail in an online environment? The following are a few ideas and reflection questions on how an online course can be intentionally designed to build or solidify structure and support a more equitable learning environment:

  • 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/