Research on rubrics has often focused on validity and reliability (Matshedisho, 2020), but more recent work explores how students actually interpret and use rubrics (Brookhart, 2015; Matshedisho, 2020; Taylor, 2024; Tessier, 2021). This emerging scholarship consistently shows a gap between instructor intention and student interpretation. For example, Matshedisho (2020) found that “students expected procedural and declarative guidance, while instructors expected conceptual, reflective work” (p. 175).
If students understand rubrics differently than we intend, rubrics cannot fully support learning. Below are key reasons this mismatch occurs—and strategies to close the gap.
Tacit Knowledge and Language
Students bring varied backgrounds, disciplinary exposure, and assumptions to their learning (Brookhart, 2015; Matshedisho, 2020). Many do not enter college knowing what a rubric is or how to apply one (Tessier, 2021).
Key issues include:
Unfamiliar terms or disciplinary jargon Early‑year students may lack field‑specific language. In Matshedisho’s (2020) study, first‑year medical students struggled with the sociological-specific criteria required for a reflective assignment.
Different meanings across disciplines Terms like “concept,” “analysis,” or “argument” shift across fields, confusing students taking multiple general‑education courses.
Ambiguous or subjective labels Students struggle to distinguish between words like good and very good, and terms such as “critical analysis” can feel subjective (Taylor, 2024).
Minimal differentiation between performance levels When descriptors are too similar, students, unable to discern differences between the ratings, cannot see how to progress.
How Students Use Rubrics
Students often approach rubrics differently than instructors expect:
They treat the rubric as separate from course content, starting with the criteria column and reading each cell in isolation (Matshedisho, 2020).
They search for procedural instructions, expecting the rubric to tell them how to complete the assignment (Matshedisho, 2020; Taylor, 2024; Tessier, 2021).
Many prefer hard‑copy rubrics over digital versions (Tessier, 2021; Panadero, 2025).
Bridging the Gap Through Instruction
Rubrics only support learning when students understand them as instructors intend (Brookhart, 2015). Effective strategies include:
Build Shared Understanding
Explain key terms and check for tacit knowledge—especially discipline‑specific language (Taylor, 2024).
Explicitly teach what a rubric is and how to use one; don’t assume prior knowledge (Tessier, 2021).
Calibrate expectations by discussing examples and rating sample work with students (Taylor, 2024).
Integrate Rubrics Into the Course
Refer to the rubric during lectures and discussions. (Tessier, 2021).
Provide feedback that directly connects to rubric criteria. (Matshedisho, 2020) (Taylor, 2024) (Tessier, 2021).
Celebrate or reinforce active rubric use (Tessier, 2021).
Provide hard copies of the rubric whenever possible (Tessier, 2021; Panadero, 2025).
Support Instructors
Offer training in rubric design and student‑centered implementation (Brookhart, 2015) (Taylor, 2024).
Use shared rubrics for multi‑section courses to support consistency.
Meet as a teaching team to create and calibrate the common rubric.
Recognize limitations of online rubric platforms; include clarifying hyperlinks or exemplars when possible (Panadero, 2025).
Clarify Task Expectations
Students often want a checklist. Provide procedural instructions separately, and use the rubric for conceptual evaluation (Matshedisho, 2020; Taylor, 2024; Tessier, 2021).
Conclusion
Research has proven that students comment favorably when it comes to questions referencing a rubric’s validity and reliability, but when the research focuses on how students interact with, understand, and apply the rubric, it is clear we still have a long way to go. Hopefully the suggestions above will get you started on the road to even better creation and application of your rubrics.
References
Brookhart, S. M. (2015). The quality and effectiveness of descriptive rubrics. Educational Review, 67(3), 343–368. doi:10.1080/00131911.2014.929565
Matshedisho, K. R. (2020). Straddling rows and columns: Students’ (mis)conceptions of an assessment rubric. Assessment & Evaluation in Higher Education, 169–179. doi:10.1080/02602938.2019.1616671
Panadero, E. O. (2025). Analysis of online rubric platforms: Advancing toward erubrics. Assessment & Evaluation in Higher Education, 31–49. doi:10.1080/02602938.2024.2345657
Taylor, B. K. (2024). Rubrics in higher education: An exploration of undergraduate students’ understanding and perspectives. Assessment & Evaluation in Higher Education, 799–809. doi:10.1080/02602938.2023.2299330
Tessier, L. (2021). Listening to student perspectives of rubrics: Perceptions, Uses, and Grades. Journal on Excellence in College Teaching, 32(3), 133–168.
OER or open educational resources are openly licensed educational materials. What makes them different from other educational materials is the fact that they carry a Creative Commons (CC) license. This means that the person who created the OER, which could be a textbook, assessments, media, course syllabi, etc., has made it possible for others to reuse, revise, remix, redistribute and retain the work without needing to ask for permission. And, even better, OERs are FREE! How does this work in practice? Here’s an example. A professor at OSU writes a textbook on cell biology specifically for the course and gives it a Creative Commons license. Their students now have access to a free textbook on cell biology, tailored to the course, and saving the students hundreds of dollars. The students can keep it as long as they want (no rental returns or use limits). A professor at another university can take that same cell biology textbook and, without worrying about copyright violations or fair use evaluations, reorder the contents to better fit their course syllabus. They can add new, updated content like a recent discovery in gene therapy, or they can remove content that does not meet their course needs. Then they can release this work under a Creative Commons license, providing their students with a free textbook (also saving them oodles of money). It a win-win. Here at Oregon State University, since 2019, our students have saved more than $20 million thanks to OSU facultywho use free textbooks or other free and low-cost learning materials in their classes.
Why is this important?
Students have access to their course materials on day one and everyone has equal access to the course content.
Students don’t have to decide between buying textbooks and rent or food and they don’t have to reduce the number of courses they are taking because they won’t be able to pay for the course materials.
Students report feeling less stressed and a stronger sense of belonging when they don’t have to worry about affording their course materials.
Faculty can customize the course materials, aligning them with course learning outcomes, and making them more relevant to local circumstances or current events.
Faculty can support students as active creators of knowledge by having them contribute to and even create OER materials (open pedagogy).
Faculty can increase their own teaching impact by creating OER that are used across the globe.
Studies have shown that students using OER course material achieve the same or better learning outcomes as with commercial course materials.
In a 2022 survey of Oregon State University students, 61% of them didn’t purchase at least one textbook because of its high cost. By utilizing low ($40 or less) and no cost resources like OERs, you can have a huge impact on our students. For example, instead of deciding between food and rent or buying a textbook, students will have immediate access, which is significant in a 10-week term, to the texts for their class. This often leads to better performance in their classes because they have access to their textbook and aren’t trying to “get by” without it. Students can also take the amount of credits they wish to stay on track with their degree completion goals because the textbooks are now not a concern as far as affordability goes.
Where do I start?
Oregon State University has a growing collection of open, free to use textbooks across several disciplines. Check out the Oregon State University OER Commons and see if there’s a resource you could utilize. If you don’t find what you were looking for there, so many more resources exist, start with looking at the OER Commons main site. But wait, there’s more!
Open Education Week is an annual celebration that raises awareness about OERs. In past years, there have been success stories shared, tools highlighted, and how to get involved in adopting or adapting OERs for use in classes.
Keep an eye out for more details about Oregon State University’s activities during Oregon State University’s Open Ed Week for 2026 happening March 2-6, 2026. Whether you’re a faculty member curious about open textbooks or a student interested in more affordable learning materials, there will be plenty of ways to participate and learn more.
Accessibility is a hot topic these days, and alt text is one of its most significant building blocks. There are many comprehensive resources and tutorials out there, so I won’t get into what alt text is or how to write it (if you need an intro, start here: OSU Digital Accessibility – Alternative Text for Images). In this post, I’ll address a few issues where guidance is less clear-cut and that have come up in my conversations with instructors.
Does alt text have a character limit?
You’ve done the work and written a detailed alt text that you’re proud of. You hit “done” and, much to your frustration, the Canvas editor is flagging your image and saying: “Alt attribute text should not contain more than 120 characters.” What’s going on here? Is there really a limit, and why is it so?
Well, this is one of those things where you’ll find lots of conflicting information. Some people say that assistive devices only read the first 140 characters; others, the first 150; yet others argue there are no such limits with modern tech. See this article: 100, 150, or 200? Debunking the Alt text character limit, which has more info and references, including a nod to NASA’s famous alt text for the James Webb telescope images.
One thing is clear though: alt text should be short and sweet, to make it easy on the users. Keep the purpose in mind and address it as succinctly as you can. However, if your carefully written alt text still exceeds Canvas’s limit of 120 characters, don’t fret – that constraint is probably too restrictive anyway. But if the image is complex and needs a much longer description, use a different method (see more options below).
How should I use a long description?
When you have an image that contains a lot of information, such as a graph or a map, you need both alt text and a long description. The alt text is short (e.g., “Graph of employment trends 2025”), while the long description is detailed (e.g., it would describe the axes and bars, numbers etc.). The W3C Web Accessibility Initiative (WAI) – Complex Images Tutorial explains a few ways you can add a long description. The most common ones (and that I would recommend) are:
Put the long description on a separate page or in a file and add a link to it next to the image.
Put the long description on the same page in the text (under a special heading or simply in the main content) and include its location in the alt text (e.g., “Graph of employment trends 2025. Described under the heading Employment Trends”.)
The advantage of these methods is that everyone, not just people using assistive technologies, can access them. The description can benefit people with other disabilities or those who simply need more help understanding complex graphics.
But wait, what about image captions? Do they duplicate alt text?
Image captions can be used in various ways: as a short title for the picture, as related commentary, or as a full explanation (see an example of alt text vs. caption). In any case, avoid duplicating content between the caption and the alt text. If the caption doesn’t include a sufficient description, make sure you have that in the alt text. Alternatively, you can keep the alt text very short and use the caption for a longer description that everyone can read (I wouldn’t recommend very long ones, though – those may be better placed elsewhere, as described above).
For web pages, it’s best to add the caption using the <figcaption> element. This ensures that your caption is semantically linked to its image. If you like editing the HTML in your LMS, check out the W3Schools tutorial on the HTML <figcaption> Tag.
Should the alt text describe people’s gender, race, age etc.?
It really depends on what you are trying to convey and how much you know about the individuals in the image. Are those details significant? If yes, you should include them. Are you making any assumptions? Make sure not to project your own ideas about who the person is. This guide from University of Colorado Boulder: Identity and Inclusion in Alt Text is a great resource to refer to when faced with these decisions.
It’s 2026! Can’t I just get AI to write the alt text?
You’re right that AI tools can be a great help in writing alt text or long descriptions! We often recommend ASU’s Image Accessibility Creator. But, as you’re aware, LLMs are not always correct. Moreover, they don’t know what exactly you want your students to get from that image (well, you could tell them, but that may be as much effort as writing the alt text yourself…). Make sure you always check the output for accuracy and revise it to fit your purpose and context.
Once the term begins, you and your students enter into a full motion of course activities—getting connected with one another and moving along the education journey together. Then, when you realize it is the end of the term! I have heard many instructors saying things like “I can’t believe how fast this term has gone!”, “It’s already week 10, and I don’t know where time went!” And with the term at its conclusion, it is an opportunity to debrief, reflect, and take time for self-kindness, for both instructors and instructional designers.
Debrief
A debrief is an activity that helps close out the course development project. A debrief can help instructors more intentionally discuss how the course development process worked in a particular course, identify the challenges that took place while teaching, and outline future improvements and more effective course design approaches (Chatterjee, Juvale, & Jaramillo Cherrez, 2023). If you are an instructor who worked with an instructional designer to develop the course that you just finished teaching, it is important to meet with them and discuss how the course went, what worked well, what items presented challenges for students as well as for the instructors that immediate changes or improvements can be addressed as these are fresh in mind, and what major updates or changes are required before the course is taught again. These debriefs can take place during the last weeks of the term (e.g., finals week or the week after) and be initiated by the instructional designer as a way to close out the course development project, or by the instructor to seek additional instructional design assistance for improvements.
Reflection
Why would you want to reflect as an instructor? Generally speaking, reflection can serve as a mechanism to deliberately process and examine your actions, thoughts, and experiences in developing and teaching the course. For reflection after the term, we will focus on reflection-on-action, which is engaging in this deliberate process after the fact (Brookfield, 2017; Schön, 1987)—after you have taught the course. In reflecting about your course development and teaching experience at the end of the term, you may have the opportunity to not only describe what those experiences were like but also the opportunity to question and evaluate design and teaching choices, identify additional challenges presented in the context of the course, and reviewing student feedback to better understand the instructional design decisions that were successful and those that failed to accomplish your goals and the goals of the course. Reflection can be part of the debrief, but also a regular practice to look back at the course development and teaching experience for future improvements.
Self-Kindness
Self-kindness is not a new concept, but it may well be in the context of education. Applying this concept to your online course development and teaching experience means that you engage in kind actions to yourself—actions to treat yourself with care, compassion, and consideration (Denial, 2023). At the end of the term, as you debrief and/or reflect, think about the teaching actions that went well and consider how they made you feel. Give yourself grace and compassion because you are a human being and capable of so many great things, while acknowledging that the context and experiences may shape us in multiple ways. Also, because you have created an excellent online course and your teaching presence has elevated its quality. In exercising self-kindness, you may feel vulnerable as you may start recognizing the challenges and struggles in your academic and personal lives. Consider giving yourself the same compassion that you can give a loved one or a close friend, recognizing that the challenges, struggles, and failures are part of the human experience—even in teaching. Self-kindness is a way to direct your attention and actions away from judgments and shortcomings. Take care.
I’m curious, how do you conclude a term? Are there specific self-care actions that you take besides grading and submitting final grades?
References
Brookfield, S. 2017. Becoming a critically reflective teacher. 2nd ed. Jossey-Bass
Chatterjee, R., Juvale, D., & Jaramillo Cherrez, N. (2023). What the debriefs unfold. A multicase study of their experiences of higher education faculty in designing and teaching their asynchronous online courses. The Quarterly Review of Distance Education, 24(1), 25-41.
Customizing your Canvas course is a simple way to create a smoother, more intuitive learning experience—for both you and your students. With a few strategic adjustments, you can create a polished, efficient Canvas set-up that gives students a clean, streamlined learning environment.
Personalize Your Home Page
Instructors can choose which page students see first when clicking into their Canvas course, and a well-designed homepage can act as a dashboard for the entire course. Most Ecampus courses have a home page that includes a custom banner with the course code and name as well as links to the modules, Start Here module, and Syllabus page. You might want to add links to external tools or websites your students will use frequently for easy access. You can also pin up to five of the most recent announcements to the home page, which can help students quickly see important information (see “Course Details” below for instructions).
If you want to change which page your course defaults to, click the “pages” tab in the course menu, then click “view all pages”. Your current course home page will appear with the tag “front page”. To change it, click the three dots and choose “remove as front page”. Then choose the three dots menu next to the page you want and you’ll see a new option, “use as front page”.
The Gradebook
The next area you will want to check is your gradebook, as there are many options you can set to help streamline grading. Click the settings gear icon to pop out the gradebook settings menu. The first option is choosing a default grade or percentage deduction for late assignment submissions. Automating this calculation is extremely helpful for both instructors and students, especially if you want grades to decrease a certain percentage each day.
The next tab allows you to choose whether you want grades to be posted automatically or manually as your default setting. The third tab, “advanced”, enables an instructor to manually override the final grades calculated by Canvas.
The last tab, “view options”, contains several ways to tweak the appearance of your gradebook. The first option is determining how the gradebook displays assignments, defaulting to the order they appear on the assignments page. You can change that if you prefer to see assignments in one of the other possible arrangements (see image below).
You can choose which columns you want to see when you launch the gradebook, with the option to add a notes column, visible only to instructors, which appears to the right of student names. Many instructors use the notes column as a field where they can track interactions and keep important information about students. You can also change the default gradebook colors that indicate whether a submission was late, missing or excused.
The Settings Tab
The settings tab in your Canvas course is hiding some features you might not know you have access to that allow you to customize your course. Let’s look more closely at three of the sections you’ll see there: course details, navigation, and feature options.
Course Details
There are a few options you can change under the course details section, though it is important to note that there are settings here that you should NOT adjust, including the time zone, participation, start and end dates, language, visibility, and any other setting besides the specific ones described below. These settings are put in place by OSU and should not be changed.
At the top of this section, there is a place to upload or change your course image, which is mirrored on the dashboard view for both you and students. Adding an image here that represents your course content can help students visually find your course quickly on their Canvas dashboard.
The next section of interest is the grading scheme. Canvas has set a default grading scheme, shown in the chart below, so if the default scheme works, you do not need to adjust it. However, if your department or course syllabus uses different score ranges than the default scheme, you can create your own.
Another area in this section you may want to consider is the bottom set of options, seen in the image below. Here, you have the ability to show up to five most recent announcements to the course homepage, which helps ensure students see important messages when they navigate to your course. Click the checkbox to show recent announcements and choose how many you’d like students to see.
There are some other options here, giving instructors the choice to allow students to create their own discussion boards, edit or delete their discussion replies, or attach files to discussions. There is also the option to allow students to form their own groups. Additionally, instructors can hide totals in the student grade summary, hide the grade distribution graphs from student view, and disable or enable comments on announcements. Be sure to remember to click the “update course details” box when editing course details to save any changes you make.
Navigation
The next section instructors may want to explore is navigation, which controls the Canvas course links that appear in the left-hand menu. This simple interface lets you enable or disable links to customize what links students see in the left-side navigation menu. We recommend checking your course to be sure that the tabs students need are enabled, such as syllabus and assignments, and others such as instructor-only areas like pages and files, are hidden from students. Navigation items including OSU Instructor Tools, Ally Course Accessibility Report, and UDOIT Accessibility never show to students and should be left enabled. You can also enable links to any external tools, like Perusall or Peerceptiv, you may be using in your course.
In your course, disabled links will not be visible to students, marked with the crossed-out eye icon denoting that they are hidden, but you will still see them. To enable/disable a menu item, use the three dots menu or simply grab and drag menu items to the top (enabled) or bottom (disabled) section, and remember to click save at the bottom of the screen. You will immediately be able to see a change in your course menu.
Feature Options
The final section you might want to explore is Feature Options, which lists features that you can turn on or off. This usually includes previews of features that Instructure is beta testing. Clicking the arrow icon next to each shows a brief description of the option. You’ll see disabled features marked with a red X, while enabled ones are marked with a green checkmark- you can toggle these on and off with a click.
Some features you might be interested in testing out include the following:
Assignment enhancements (improves the assignment interface and submission workflow for students)
Enhanced rubrics (a new, more robust tool for creating and managing rubrics)
Smart search (uses AI to improve searchability within a course; currently searches content pages, announcements, discussion prompts and assignment descriptions)
Submission stickers (a fun one you can add if you enable assignment enhancement)
While these may seem like small changes individually, customizing the look and feel of your Canvas course can have a big effect on your students’ learning experience. Contact Ecampus faculty support if you have any questions or need assistance personalizing your course.
Special Edition: Guest Blog by Assistant Professor of Practice (Urban Forestry), Jennifer Killian
When I was asked to create a new course for Oregon State University’s Ecampus program, my first reaction was a mix of sheer excitement… and, well, a little terror. I’ve built workshops, presentations, and even all-day trainings, but assembling ten weeks of graduate-level content from scratch? That felt like wandering through a haunted house to me. Dark, empty, and full of unknowns. Adding to the surrealness, I realized that thirteen years ago, I was a graduate student here, taking several Ecampus courses myself including an early version of the very class I would now be teaching. The idea that I could bring my professional experience back to this institution and shape this course? Thrilling, humbling… and a yes, definitely a little spooky.
The course, FES 454/554: Forestry in the Wildland-Urban Interface, explores the complex challenges of managing forests where communities and wildlands meet. Students dive into forest health, urban forestry, land-use planning, wildfire, and natural resource management through social, ecological, economic, and political lenses. It’s a “slash course,” meaning both undergraduates and graduate students can enroll so I knew the content needed to speak to a broad spectrum of learners. And I had to build it all from the ground up.
Enter the magical world of Ecampus Instructional Design. My Instructional Design partner was way more than support. To me, she was a friendly ghost guiding me through every room of this haunted course house. There were moments when I was convinced I had hit a dead-end, only to have a creative solution appear almost instantly. From turning complex assignments into clear, engaging experiences to keeping me on track and motivated, the team transformed my raw ideas into a cohesive, polished course. I honestly cannot say enough about the skill, creativity, and dedication they bring to the table.
One lesson I carried from my own hiking adventures literally proved invaluable during the course build. Years ago, I was struggling up a 14,000-foot peak in Colorado, staring at the distant summit, more than ready to quit. My hiking buddy simply said, “Don’t look at the summit. Pick a rock a few feet ahead and walk to that. Then take a break, and pick another rock.” That became my metaphor for course development. Instead of being paralyzed by the enormity of a ten-week course, I focused on the next “rock.” Some of my rocks included simply finishing the syllabus, creating the first assignment, securing a guest lecture, or finding a key reading. By breaking the work into manageable pieces, the haunted hallways of that blank course shell became far less intimidating and actually surprisingly rewarding.
Another highlight of building this course was connecting students with the people shaping forestry in the field. Reaching out to industry professionals for guest lectures and insights brought this material to life and grounded it in examples. It also reminded me how much real-world perspectives enrich student learning. Two colleagues from my department contributed individual weeks of material, which helped broaden the course and gave students a chance to see the WUI topic through multiple professional lenses. I was grateful for their contributions too! Seeing the course evolve into a bridge between theory and practice was incredibly rewarding and it reinforced a key principle I’d learned over the years through my various roles. That collaboration amplifies impact. Never has this resonated more with me!
For anyone stepping into a course development role for the first time, my advice is simple; Lean on the resources around you. The Ecampus team offers an incredible array of tools, templates, and guidance. Don’t hesitate to ask questions, tap into expertise, and stick to timelines. Above all, remember the “next rock” approach: the mountain is climbed one step at a time. Celebrate small wins along the way because they add up faster than you think.
Looking back, building this course has been a career highlight. From the panic of staring at a totally blank syllabus to the thrill of seeing assignments, discussions, and modules come alive, I’ve learned that teaching online is truly a team sport. The course may be called Forestry in the Wildland-Urban Interface, but what I really learned was how humans, collaboration, and thoughtful design intersect to create something extraordinary. I hope my story encourages other first-time developers to embrace the process, trust their teams, and find joy in the climb. After all, even a haunted course house is easier to navigate when you have friendly ghosts guiding the way and every “next rock” brings you closer to the summit. And as the crisp autumn air settles in and the leaves turn, I’m reminded that even the spookiest, most intimidating challenges can reveal unexpected magic when you face them step-by-step.
“You won’t always have a calculator in your pocket!”
How we laugh now, with calculators first arriving in our pockets and, eventually, smartphones putting one in our hands at all times.
I have seen a lot of comparisons 123 across the Internet to artificial intelligence (AI) and these mathematics classes of yesteryear. The idea being that AI is but the newest embodiment of this same concern, which ended up being overblown.
But is this an apt comparison to make? After all, we did not replace math lessons and teachers with pocket calculators, nor even with smart phones. The kindergarten student is not simply given a Casio and told to figure it out. The quote we all remember has a deeper meaning, hidden among the exacerbated response to the question so often asked by students: “Why are we learning this?”
The response
It was never about the calculator itself, but about knowing how, when, and why to use it. A calculator speeds up the arithmetic, but the core cognitive process remains the same. The key distinction is between pressing the = button and understanding the result of the = button. A student who can set up the equation, interpret the answer, and explain the steps behind the screen will retain the mathematical insight long after the device is switched off.
The new situation – Enter AI
Scenario
Pressed for time and juggling multiple commitments, a student turns to an AI tool to help finish an essay they might otherwise have written on their own. The result is a polished, well-structured piece that earns them a strong grade. On the surface, it looks like a success, but because the heavy lifting was outsourced, the student misses out on the deeper process of grappling with ideas, making connections, and building understanding.
This kind of situation highlights a broader concern: while AI can provide short-term relief for students under pressure, it also risks creating long-term gaps in learning. The issue is not simply that these tools exist, but that uncritical use of them can still produce passing grades without the student engaging in meaningful reflection gained by prior cohorts. Additionally, when AI-generated content contains inaccuracies or outright hallucinations, a student’s grade can suffer, revealing the importance of reviewing and verifying the material themselves. This rapid, widespread uptake stresses the need to move beyond use alone and toward cultivating the critical habits that ensure AI supports, rather than supplants, genuine learning.
Employing multivariate regression analysis, we find that students using GenAI tools score on average 6.71 (out of 100) points lower than non-users. While GenAI may offer benefits for learning and engagement, the way students actually use it correlates with diminished exam outcomes
Another study (Ju, 2023) found that:
After adjusting for background knowledge and demographic factors, complete reliance on AI for writing tasks led to a 25.1% reduction in accuracy. In contrast, AI-assisted reading resulted in a 12% decline. Ju (2023).
In this same study, Ju (2023) noted that while using AI to summarize texts improved both quality and output of comprehension, those who had a ‘robust background in the reading topic and superior reading/writing skills’ benefited the most.
Ironically, the students who would benefit most from critical reflection on AI use are often the ones using it most heavily, demonstrating the importance of embedding AI literacy into the curriculum. For example: A recent article by Heidi Mitchell from the Wall Street Journal (Mitchell, 2025) cites a study showing that the “less you know about AI, the more you are likely to use it”, and describing AI as seemingly “magical to those with low AI literacy”.
Finally, Kosmyna et al. (2025), testing how LLM usage affects cognitive processes and neural engagement in essay writing, assembled groups of LLM users, search engine users, and those without these tools (dubbed “brain-only” users). The authors recorded weaker performance in students with AI assistance over time, a lower sense of ownership of work with inability to recall work, and even seemingly reduced neural connectivity in LLM users compared to the brain-only group, which scored better in all of the above.
The takeaways from these studies are that unstructured AI use acts as a shortcut that erodes retention. While AI-assistance can be beneficial, outright replacement of thinking with it is harmful. In other words, AI amplifies existing competence but rarely builds it from scratch.
Undetected
Many people believe themselves to be fully capable of detecting AI-usage:
Most of the writing professors I spoke to told me that it’s abundantly clear when their students use AI. Sometimes there’s a smoothness to the language, a flattened syntax; other times, it’s clumsy and mechanical. The arguments are too evenhanded — counterpoints tend to be presented just as rigorously as the paper’s central thesis. Words like multifaceted and context pop up more than they might normally. On occasion, the evidence is more obvious, as when last year a teacher reported reading a paper that opened with “As an AI, I have been programmed …” Usually, though, the evidence is more subtle, which makes nailing an AI plagiarist harder than identifying the deed. (Walsh, 2025).
In the same NY Mag article, however, Walsh (2025) cites another study, showing that it might not be as clear who is using AI and who is not (emphasis added):
[…] while professors may think they are good at detecting AI-generated writing, studies have found they’re actually not. One, published in June 2024, used fake student profiles to slip 100 percent AI-generated work into professors’ grading piles at a U.K. university. The professors failed to flag 97 percent.
The two quotes are not contradictory; they describe different layers of the same phenomenon. Teachers feel they can spot AI because memorable extremes stick in their minds, yet systematic testing proves that intuition alone misses the overwhelming majority of AI‑generated work. This should not be surprising though, as most faculty have never been taught systematic ways to audit AI‑generated text (e.g., checking provenance metadata, probing for factual inconsistencies, or using stylometric analysis). Nor do most people, let alone faculty grading hundreds of papers per week, have the time to audit every student. Without a shared, college-wide rubric of sorts, detection remains an ad‑hoc, intuition‑driven activity. Faulty detection risks causing undue stress to students, and can foster a climate of mistrust by assuming that AI use is constant or inherently dishonest rather than an occasional tool in the learning process. Even with a rubric, instructors must weigh practical caveats: large-enrollment courses cannot sustain intensive auditing, some students may resist AI-required tasks, and disparities in access to tools raise equity concerns. For such approaches to work, they must be lightweight, flexible, and clearly framed as supporting learning rather than policing it.
This nuance is especially important when considering how widespread AI adoption has been. Walsh (2025) observed that “just two months after OpenAI launched ChatGPT, a survey of 1,000 college students found that nearly 90 percent of them had used the chatbot to help with homework assignments.” While this figure might seem to justify the use of AI detectors, it could simply reflect the novelty of the tool at the time rather than widespread intent to circumvent learning. In other words, high usage does not automatically equal cheating, showing the importance of measured, thoughtful approaches to AI in education rather than reactionary ones.
What to do…?
The main issue here is not that AI is magically writing better essays than humans can muster, it is that students are slipping past the very moments where they would normally grapple with concepts, evaluate evidence, and argue a position. Many institutions are now taking a proactive role rather than a reactive one, and I want to offer such a suggestion going forward.
Embracing the situation: The reflective AI honor log
It is a fact that large language models have become ubiquitous. They are embedded in web browsers, word processors, and even mobile keyboards. Trying to ban them outright creates a cat‑and‑mouse game; it also sends the message that the classroom is out of sync with the outside world.
Instead of fighting against a technology that is already embedded in our lives, invite students to declare when they use it and to reflect on what they learned from that interaction.
For this post, I am recommending using an “AI Honor-Log Document”, and deeply embedding it into courses, with the goal of increasing AI literacy.
What is it?
As assignments vary across departments and even within courses, a one-size-fits-all approach is unlikely to be effective. To support thoughtful AI use without creating extra work for students, faculty could select an approach that best aligns with their course design:
Built-in reflection: Students note when and how they used AI, paired with brief reflections integrated into their normal workflow.
Optional, just-in-time logging: Students quickly log AI use and jot a short note only when it feels helpful, requiring minimal time.
Embedded in assignments: Reflection is incorporated directly into the work, so students engage with it as part of the regular writing or research process.
Low-effort annotations: Students add brief notes alongside tasks they are already completing, making reflection simple and natural.
These options aim to cultivate critical thinking around AI without imposing additional burdens or creating the perception of punishment, particularly for students who may not be using AI at all.
AI literacy is a massive topic, so let’s only address a few things here:
Mechanics Awareness: Ability to explain the model architecture, training data, limits, and known biases.
Critical Evaluation: Requiring fact-checking, citation retrieval, and bias spotting.
Orchestration Skills: Understanding how to craft precise prompts, edit outputs, and add original analysis.
Note: you might want to go further and incorporate these into an assignment level learning outcome. Something like: “Identifies at least two potential biases in AI-generated text” could be enough on a rubric to gather interesting student responses.
Log layout example
#
Assignment/Activity
Date
AI Model
Exact Prompt
AI Output
What you changed/Added
Why You Edited
Confidence (1-5)
Link to Final Submission
1
Essay #2 – Digital-privacy law
2025-09-14
GPT-5
“Write a 250-word overview of GDPR’s extraterritorial reach and give two recent cases
[pastes AI text]
Added citation to 2023 policy ruling; re-phrased a vague sentence.
AI omitted the latest case; needed up-to-date reference
4
https://canvas.oregonstate.edu/……
Potential deployment tasks (and things to look out for)
It need not take much time to model this to students or deploy it in your course. That said, there are practical and pedagogical limits depending on course size, discipline, and student attitudes toward AI. The notes below highlight possible issues and ways to adjust.
Introduce the three reasons above (either text form or video, if you have more time and want to make a multimedia item). Caveat: Some students may be skeptical of AI-required work. Solution: Frame this as a reflection skill that can also be done without AI, offering an alternative if needed.
Distribute the template to students: post a Google-Sheet link (or similar) in the LMS. Caveat: Students with limited internet access or comfort with spreadsheets may struggle. Solution: Provide a simple Word/PDF version or allow handwritten reflections as a backup.
Model the process in the first week: Submit a sample log entry like the one above but related to your class and required assignment reflection type. Caveat: In large-enrollment courses, individualized modeling is difficult. Solution: Share one well-designed example for the whole class, or record a short screencast that students can revisit.
Require the link with each AI-assisted assignment (or as and when you believe AI will be used). Caveat: Students may feel burdened by repeated uploads or object to mandatory AI use. Solution: Keep the log lightweight (one or two lines per assignment) and permit opt-outs where students reflect without AI.
Provide periodic feedback: scan the logs, highlight common hallucinations or errors provided by students, give a “spot the error” mini lecture/check-in/office hour. Caveat: In large classes, it’s not realistic to read every log closely. Solution: Sample a subset of entries for themes, then share aggregated insights with the whole class during office hours, or post in weekly announcements or discussion boards designed for this kind of two-way feedback.
(Optional) Student sharing session in a discussion board: allow volunteers or require class to submit sanitized prompts (i.e., any personal data removed) and edits for peer learning. Caveat: Privacy concerns or reluctance to share work may arise. Solution: Keep sharing optional, encourage anonymization, and provide opt-outs to respect comfort levels.
Important considerations when planning AI-tasks
Faculty should be aware of several practical and pedagogical considerations when implementing AI-reflective logs. Large-enrollment courses may make detailed feedback or close monitoring of every log infeasible, requiring sampling or aggregated feedback. Some students may object to AI-required assignments for ethical, accessibility, or personal reasons, so alternatives should be available (i.e. the option to declare that a student did not use AI should be present). Unequal access to AI tools or internet connectivity can create equity concerns, and privacy issues may arise when students share prompts or work publicly. To address these challenges, any approach should remain lightweight, flexible, and clearly framed as a tool to support learning rather than as a policing mechanism.
Conclusion
While some students may feel tempted to rely on AI, passing an assignment in this manner can also pass over the critical thinking, analytical reasoning, and reflective judgment that go beyond content mastery to true intellectual growth. Incorporating a reflective AI-usage log based not on assumption of cheating, but on the ubiquitous availability of this now-common tool, reintroduces one of the evidence-based steps for learning and mastery that has fallen out of favor in the last 2-3 years. By encouraging students to pause, articulate, and evaluate their process, reflection helps them internalize knowledge, spot errors, and build the judgment skills that AI alone cannot provide.
Fu, Y. and Hiniker, A. (2025). Supporting Students’ Reading and Cognition with AI. In Proceedings of Workshop on Tools for Thought (CHI ’25 Workshop on Tools for Thought). ACM, New York, NY, USA, 5 pages. https://arxiv.org/pdf/2504.13900v1
Kosmyna, N., Hauptmann, E., Yuan, Y. T., Situ, J., Liao, X-H., Beresnitzky, A. V., Braunstein, I., & Maes, P. (2025). Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task. https://arxiv.org/abs/2506.08872
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!
Too often, online courses struggle with communication that feels slow and one-sided. Students swap ideas in discussion boards, but collaboration stops there. Integrating Microsoft Teams into Canvas changes that. It brings real-time conversation, file-sharing, and group spaces directly into the LMS–helping students connect more naturally and giving instructors new ways to guide and engage. This integration not only boosts collaboration, it also provides more opportunities for Regular and Substantive Interaction (RSI) between students and instructors—structured, faculty-initiated engagement that is required in online courses under federal guidelines.
Seamless Collaboration Across Projects and Courses
Integrating Teams into Canvas ensures that group work and peer review move beyond static discussion boards into dynamic, asynchronous interactions. Students can download the app on their mobile devices, which allows them to have more consistent and real-time access to the comments and work shared by their peers. Teams allows for:
Dedicated channels for individual projects or study groups
Tagging teammates so each member of a channel knows when they are needed
File sharing by both team members and instructors
This unified workspace helps teams stay organized, accountable, and focused on shared learning outcomes. Teams has both course-level and group-level integrations. This allows instructors flexibility in how they would like to use the app. These different levels allow Teams to be used for the entire course or just for specific group projects (or both). Regardless of the level of integration and use, instructors can see how students are collaborating and completing a task or group assignment. This gives them a space to quickly jump in if students are struggling or off track.
Enhanced Communication and Community Building
Canvas announcements and emails can feel one-sided; within Teams, conversations become two-way forums where ideas flow instantly. Notifications appear directly inside Canvas (and on mobile devices if students/instructors allow), ensuring students never miss critical updates. Meanwhile, professors can host Q&A chats without scheduling hurdles by simply creating a channel in Teams. The fluid interaction nurtures a vibrant learning community, fostering peer support and timely faculty feedback. Additionally, this allows instructors to meet their Regular and Substantive Interaction goals, nurtures a collaborative online community and directly addresses the Ecampus Essentials standard of requiring all three forms (student–student, student–instructor, student–content) of interaction and engagement in a classroom.
Easy Oversight for Seeking Solutions Courses
One of the new CoreEd (Core Education is OSU’s state-of-the-art, 21st-century-focused general education program) categories being implemented this year include the Seeking Solutions courses. These courses require students to work in interdisciplinary groups and “wrestle with complex, multifaceted problems, and evaluate potential solutions from multiple points of view” (from the Seeking Solutions OSU page). This necessitates that students complete group assignments and projects while instructors mentor and monitor these groups individually.
With a fully asynchronous OSU Ecampus course, this can be difficult. One way this can be accomplished is through Teams channels. If each group has its own Teams channel and the instructor requires that they use Teams to communicate and collaborate for their project, then instructors can use this space to share resources, mentor the students, and facilitate hard conversations.
Conclusion
Integrating Microsoft Teams into Canvas reshapes the university experience by uniting collaboration and communication within a single resource. Students benefit from real-time teamwork features and greater access to their instructors, while professors enjoy streamlined group work oversight and the ability to intervene whenever necessary. Adopting this integrated approach not only enhances the quality of instruction but also fosters a more engaged and connected learning community. For more information on how to integrate Teams into your Canvas site, read the Canvas: Create linked Teams from Canvas page.
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.
