Possible ways to improve attendance

One of the most frequent concerns I hear is, “My students just aren’t coming to class.” With so much content available online, recorded lectures at their fingertips, and the sense of distance that can come with large classes, this challenge is becoming more common and more complex. In this post, I will look at some of the more popular reasons reported for students not attending class and share practical, evidence-based ways to re-engage students in the classroom.

The Anonymity Epidemic: When Students Feel Like Just Another Face

Many students, particularly in large enrollment courses, feel anonymous. They don’t believe their individual presence makes a difference, leading to a disengagement from the classroom community. This isn’t just a large-class problem; it arises when students lack meaningful connections with instructors, TAs, or even their peers. Overcoming this anonymity is key to fostering a sense of responsibility and belonging.

Strategies to Combat Anonymity:

  • Be Present Before Class: Arriving early to chat informally with students is a simple yet powerful way to build rapport. Ask about their weekend, recent movies, or even their experience with the last assignment. These small gestures humanize you and create a connection.

  • Active Engagement is Key: Design activities that actively involve students with the material. Pose intriguing questions, facilitate brief peer discussions, or utilize classroom response systems like TopHat https://uits.iu.edu/tophat/index.html to “vote” on responses. This transforms passive listening into active participation, fostering an intellectual community.

  • Learn Their Names (or Try): Even the attempt to learn student names is deeply appreciated. Ask for names when students speak and use them in your response. Consider using a photo roster from Canvas to help you put names to faceshttps://toolfinder.iu.edu/tools/iu-photo-roster. A study in a high-enrollment biology course found that students’ perception of their instructor knowing their name was highly correlated with a sense of belonging, even though the instructors didn’t know every student’s name https://www.lifescied.org/doi/full/10.1187/cbe.16-08-0265 This suggests that the effort and intention behind using a student’s name are just as important as the memorization itself. For more strategies see: https://teachinginhighered.com/podcast/how-to-learn-students-names/

  • Cultivate Peer Connections: Encourage students to get to know each other. In in Relationship-Rich Education: How Human Connections Drive Success in College(Felten & Lambert, 2020) https://iucat.iu.edu/catalog/19430355mention that students benefit when they are guided in how to connect, not just told to “work together.” On the first day, have them introduce themselves to those around them. Additional strategies might include teaching collaboration skills, establishing norms for group work, or prompting reflection on what makes a partnership effective. If you use group work, rotate group members throughout the semester. Periodically have students shift seating to broaden their peer interactions.

  • Personalized Feedback (Even in Large Classes): While challenging, finding ways to provide even small amounts of personalized feedback on assignments can significantly reduce feelings of anonymity. This could be through targeted comments on a rubric or brief, individualized responses to discussion forum posts. In large classes, it’s impossible to give every student a paragraph of detailed feedback each week, but you can make feedback feelpersonal by thinking in layers. I like to frame it as macro, meso, and micro feedback. At the macro level, I share short announcements summarizing class-wide trends; what students are doing well, what’s tripping them up, and a few standout examples. At the meso level, I provide targeted feedback to lab sections, project teams, or discussion groups that speaks directly to their shared progress. Then at the micro level, I use rubrics and comment banks to individualize comments just enough to sound human…adding a student’s name or referencing something specific from their work. It’s not about writing more; it’s about being intentional with how students experience the feedback they receive.

The “Why Bother?” Dilemma: Lack of Incentive, Relevance, and Engagement

Students often skip lectures if they perceive the content as readily available elsewhere, not directly relevant to their goals, or simply boring.

 

Strategies to Create Incentive and Relevance:

  • Incentivize Attendance: Leverage students’ natural focus on grades. Make attendance a component of the grade, or administer short, low-stakes quizzes at the beginning of class using tools like Canvas or TopHat.

  • Design Slides to Drive Presence:Explicitly state that your posted slides are incomplete. Design them as skeletal frameworks, requiring students to annotate and fill in critical explanations and examples during lecture. This creates a clear value proposition for attending.

  • Debunk the “Notes from a Peer” Myth:Directly address the inadequacy of relying solely on peer notes or even AI-generated summaries. Emphasize that context, instructor insights, and the organic flow of a live lecture cannot be fully replicated.

  • Connect to Their World: Embed examples, applications, and topics that resonate with students’ fields of study and current cultural interests. Utilize Canvas Course Analytics, Reports and Dashboardsand/or  pre-course surveys to understand your student demographics and tailor examples accordingly.

  • Pique Interest from the Start: Begin lectures with a challenging question, an intriguing anecdote, or a real-world problem that immediately grabs attention and motivates sustained engagement.

  • Convey Your Enthusiasm: Your passion for the subject is contagious! Share personal stories, recent discoveries, and your excitement for the discipline. Voice and body language naturally convey this enthusiasm.

Overcoming Information Overload and Misaligned Expectations

Sometimes, students skip because they feel overwhelmed, confused by lecture goals, or perceive the lecture as redundant to textbook material.

Strategies for Clarity and Complementary Learning:

  • Chunk Your Lectures & Re-engage:Recognize that typical attention spans are 10-20 minutes. Plan your lectures in shorter chunks, incorporating varied activities every 15-20 minutes to re-engage attention (e.g., questions, visuals, demonstrations, group work, videos). Consider attending the upcoming Active Learning Block Party for Large Classrooms sponsored by CITL for engagement ideas.

  • Complement, Don’t Reiterate, the Textbook: Use class time to expand on readings, provide alternative perspectives, facilitate problem-solving, or have students generate their own examples. The lecture should offer something the textbook doesn’t.

  • Provide Unique Experiences: Bring in guest speakers, conduct live demonstrations of code or hardware, or share cutting-edge research and innovations that students wouldn’t encounter elsewhere that connect with course content.

  • State Your Goals Clearly: Explicitly articulate the learning objectives for each lecture. Use these goals as “mileposts” to help students track their progress and understand the desired outcomes.

  • Share the Organization: Provide an outline, agenda, or visual representation of the lecture’s structure. Don’t assume novices will automatically see the logical connections among concepts.

  • Encourage Support Services: If you identify students struggling with academic or non-academic demands, refer them to appropriate support services like Academic Development, the Counseling Center, or Student Health.  Student Resource Slideshow.pptx

  • Support Language Learners: For students whose first language is not English, refer them to resources like the Office of International Services which offers drop-in English tutorials for second language students https://ois.iu.edu/get-involved/english-tutorials/index.html

  • Provide Recordings (Strategically):While recordings can reduce attendance, they are a valuable accessibility tool. If you record, emphasize that the recording is a supplement for review or for those with legitimate absences, not a substitute for live engagement. Consider how you might make the live session distinctly more valuable than the recording (e.g., interactive elements through PlayPosithttps://uits.iu.edu/services/technology-for-teaching/instruction-and-assessment-tools/playposit/index.html, Q&A).

The Power of Visuals and Storytelling

In fields like Computer Science and Engineering, abstract concepts can be difficult to grasp. Visuals and real-world narratives can significantly enhance comprehension and engagement.

Additional Tips:

  • Integrate Visualizations: When explaining complex algorithms, data structures, or system architectures, use diagrams, flowcharts https://miro.com/, and animations  Show, don’t just tell. Consider generating some of these visualizations on the fly with your students!

  • Tell Stories of Impact: Frame technical concepts within the context of real-world problems they solve or innovative applications. How did this algorithm enable a new technology? What societal problem does this data science technique address?

  • Live Coding Demonstrations: For programming or data manipulation courses, live coding is incredibly effective. It allows students to see the process, observe debugging strategies, and ask questions in real-time. Make sure to slow down and explain your thought process.

  • Guest Speakers from Industry: Invite professionals from relevant industries to share how the concepts taught in class are applied in their day-to-day work. This provides tangible career relevance.

By adopting these evidence-based strategies, faculty can transform their lectures from passive information dissemination into vibrant, engaging learning experiences that students genuinely want to attend. The goal isn’t just to fill seats, but to foster deeper learning and a stronger connection to the academic community.

 

Pedagogical Tips for the Start of the Semester

The first weeks of the semester are a unique window to shape not only what students will learn, but how they will learn. In STEM courses, where concepts can be abstract, skill levels vary wildly, and technologies evolve quickly, intentional, evidence-based practices can help you set students up for long-term success.

Below are a few strategies with examples and tools you can implement immediately.

Design an Inclusive, Transparent Syllabus

Evidence base: Transparent teaching research (Winkelmes et al., 2016) shows that when students understand the purpose, tasks, and criteria for success, they perform better.

Implementation tips:

  • Purpose statements: For every major assignment, include a short note on why it matters and how it connects to industry or future coursework.
    Example: “This database schema project builds skills in relational modeling, which are directly relevant to backend software engineering interviews.”

  • Clear expectations: Break down grading policies, late work policies, and collaboration guidelines into plain language, avoiding overly technical or legalistic phrasing.

  • Accessibility & flexibility: Link to tutoring labs, office hours, online learning resources, and note-taking tools. Indicate whether assignments can be resubmitted after feedback.

  • Create a one-page “Quick Reference” sheet covering key policies (late work, collaboration, grading)

  • Norm-setting: Add a “Community Norms” section that covers respectful code reviews, how to ask questions in class, and expectations for group work. In large classes, it’s vital to set expectations for respectful online discussions, effective use of the Q&A forum (e.g., checking if a question has already been asked), and guidelines for group work if applicable (e.g., conflict resolution strategies).

Establish Psychological Safety Early

Evidence base: Google’s Project Aristotle (2015) and Edmondson’s (1999) work on team learning show that psychological safety, where students feel safe to take intellectual risks, is essential for high performance.

Implementation tips:

  • Low stakes start: In week one, run short, open-ended coding challenges that allow multiple solutions. Make it clear that mistakes are part of the process.

  • Start with anonymous polls about programming experience to acknowledge the diversity of backgrounds in the room.

  • Instructor vulnerability: Share a personal example of a bug or failed project you learned from. This normalizes challenges in programming. In a large lecture, you can briefly mention common misconceptions students often have with a new concept, and how to navigate them.

  • Model Constructive Feedback: When providing feedback on early assignments (even low-stakes ones), focus on growth and learning. When addressing common errors in a large class, frame it as an opportunity for collective learning rather than pointing out individual mistakes.

  • Multiple communication channels: Set up a Q&A platform (InScribe) where students can post questions anonymously.

Use Early Analytics for Intervention

Evidence base: Freeman et al. (2014) found that early course engagement strongly predicts later success, allowing for timely support.

Implementation tips:

  • Student Engagement Roster (SER): https://ser.indiana.edu/faculty/index.html During the first week of class,  consider explaining the SER to your students and tell them how you will be using it. If students are registered for your class and miss the first class, report them as non-attending in SER.  It will allow outreach that can help clarify their situation. Here’s a sample text you could put into your syllabus:
    This semester I will be using IU’s Student Engagement Roster to provide feedback on your performance in this course. Periodically throughout the semester, I will be entering information on factors such as your class attendance, participation, and success with coursework, among other things. This information will provide feedback on how you are doing in the course and offer you suggestions on how you might be able to improve your performance.  You will be able to access this information by going to One.IU.edu and searching for the Student Engagement Roster (Faculty) tile.

  • Use Canvas Analytics:

  • Identify struggling students. “Submissions” allows you to view if students submit assignments on-time, late, or not at all.

    1. See grades at a glance. “Grades” uses a box and whisker plot to show the distribution of grades in the course.

    2. See individual student data. “Student Analytics” shows page view, participations, assignments, and current score for every student in the course.

  • Track early submissions: Note which students complete the first assignments or attend early labs

  • Personal outreach: Email or meet with students who are slipping to connect them with tutoring, peer mentors, or study groups.

  • Positive nudges: Celebrate early wins (e.g., “I noticed you submitted the optional challenge problem. Great initiative!”).

  • Proactive Outreach (with TA Support): If you identify students who are struggling, send personalized emails offering support and directing them to available resources (e.g., tutoring, office hours with TAs). Consider delegating some of this outreach to TAs in large courses.

  • Announcements Highlighting Resources: Regularly remind the entire class about available support resources, study strategies, and upcoming deadlines through announcements.

Key Implementation Strategies for Success

  • Start Small and Build Don’t attempt to implement all strategies simultaneously. Choose 2-3 that align with your teaching style and course structure, then gradually incorporate additional elements.

  • Leverage Your Teaching Team In large courses, TAs are essential partners. Invest time in training them on consistent feedback practices, student support strategies, and early intervention protocols.

  • Iterate Based on Data Use student feedback, performance analytics, and your own observations to refine your approach throughout the semester. What works in one context may need adjustment in another.

  • Maintain Connection at Scale Even in large courses, students need to feel seen and supported. Use technology strategically to maintain personal connection while managing the practical demands of scale.

Conclusion

By implementing these research-backed strategies, faculty can create learning environments where diverse students thrive, engagement remains high, and learning outcomes improve significantly.

The investment in implementing these practices pays dividends not only in student success but also in teaching satisfaction and course sustainability. As you prepare for the new semester, consider which strategies best align with your course goals and student population, then take the first step toward transforming your large enrollment course into a dynamic, supportive learning community.

Remember: even small changes, consistently applied, can create significant improvements in student learning and engagement. Start where you are, use what you have, and do what you can to create the best possible learning experience for your students.

References

  1. Winkelmes, M. A., Bernacki, M., Butler, J., Zochowski, M., Golanics, J., & Weavil, K. H. (2016). A teaching intervention that increases underserved college students’ success. Peer Review, 18(1/2), 31–36. Association of American Colleges and Universities.

  2. Edmondson, A. C. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350–383. https://doi.org/10.2307/2666999

  3. Google Inc. (2015). Project Aristotle: Understanding team effectiveness. Retrieved from https://rework.withgoogle.com/intl/en/guides/understanding-team-effectiveness

  4. Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410–8415. https://doi.org/10.1073/pnas.1319030111

Instructor Talk

Studies by Seidel et al. (2015) and Harrison et al. (2019),  have demonstrated how Instructor Talk plays a crucial role in shaping classroom environments, influencing student engagement, learning attitudes, and potentially mitigating stereotype threats. Instructor talk is defined as any language used by an instructor that is not directly related to course content but instead shapes the learning environment.

Seidel et al. (2015) identified five major categories of non-content talk:

  1. Building the Instructor/Student Relationship– Encouraging respect, boosting self-efficacy, and offering advice for student success.

  2. Establishing Classroom Culture – Setting expectations, fostering a sense of community, and making students feel comfortable in the learning process.

  3. Explaining Pedagogical Choices – Justifying teaching methods to help students understand why certain approaches are used.

  4. Sharing Personal Experiences – Providing personal anecdotes or relating to student experiences.

  5. Unmasking Science – Discussing the nature of science and emphasizing diversity within the field.

Harrison et al. (2019) added a new category:“Negatively Phrased Instructor Talk.” This includes statements that may discourage students, undermine confidence, or convey unhelpful attitudes about learning.

Positively phrased Instructor Talk includes language that motivates, supports, and encourages students, helping to create an inclusive and productive learning environment.

Examples of Positively Phrased Instructor Talk:

Building the Instructor/Student Relationship (Encouraging and Inclusive Language)

  • “Debugging can be frustrating, but every programmer goes through it—even the best software engineers. You’re developing a valuable skill by troubleshooting.”

  • “There are many ways to solve this problem. If your approach works, it’s valid! Computer science is about creativity as much as logic.”

  • “If you’re stuck, that’s a good sign—you’re thinking critically! Take a step back, break the problem into smaller pieces, and try again.”

Establishing Classroom Culture (Fostering a Positive Learning Environment)

  • “In this class, collaboration is encouraged! Working with others will help you see different approaches and learn more effectively.”

  • “Asking questions is a sign of an engaged learner. Feel free to speak up—there are no bad questions in coding!”

  • “Mistakes are part of learning to program. The best way to improve is to experiment, test, and debug!”

Explaining Pedagogical Choices (Justifying Learning Strategies to Reduce Resistance)

  • “We use pair programming because research shows it helps students learn faster and develop teamwork skills.”

  • “I emphasize problem-solving over memorization because in real-world programming, you’ll be looking up syntax all the time—what matters is knowing how to think through problems.”

  • “This assignment is designed to help you build a strong foundation. Once you grasp these basics, you’ll be able to tackle much more complex projects.”

Sharing Personal Experiences (Relating to Students)

  • “When I first learned recursion, it completely confused me! But breaking it down into base cases and recursive steps helped me understand it.”

  • “I once spent an entire weekend debugging a program because of a missing semicolon. Now I always double-check my syntax!”

Unmasking Computer Science (Encouraging Diverse Perspectives & Scientific Thinking)

  • “There’s no single type of person who becomes a great programmer—some of the best developers come from all kinds of backgrounds.”

  • “Computer science isn’t just about writing code. It’s about solving problems and thinking critically—skills that are valuable in any field.”

Examples of Negatively Phrased Instructor Talk:

Building the Instructor/Student Relationship (Discouraging Students)

  • “This is just how programming works—either you get it, or you don’t.”

  • “If you’re struggling with loops, maybe computer science isn’t for you.”

  • “Some of you clearly didn’t put in the effort, and it shows in your code.”

Establishing Classroom Culture (Creating Anxiety or an Unwelcoming Environment)

  • “If you can’t get this assignment working, you’ll probably fail the course.”

  • “I’m not here to hold your hand—figure it out on your own.”

  • “Real programmers don’t need to ask for help. If you need help, you’re not thinking hard enough.”

Explaining Pedagogical Choices (Undermining Learning Strategies)

  • “I don’t really believe in these ‘new’ teaching methods, but the department requires me to use them.”

  • “Honestly, I don’t see the point of teaching theory—you’ll just learn everything on the job anyway.”

  • “You just need to memorize this syntax and move on. Understanding isn’t really necessary.”

Sharing Personal Experiences (Self-Effacing or Confusing Students)

  • “I never really understood object-oriented programming myself, but here’s the textbook definition.”

  • “Back in my day, we had to learn this without any online tutorials. You have it easy!”

Unmasking Computer Science (Excluding or Dismissing Certain Groups)

  • “Let’s be honest, some people just don’t have the logical thinking required for coding.”

  • “There aren’t many women in AI, but that’s just the way the field is.”

  • “If you’re not naturally good at math, you’re going to struggle a lot in this class.”

Findings revealed that Instructor Talk was present in every class session, ranging from six to 68 instances per class session. The study by Seidel et al. (2015) suggests that Instructor Talk can impact student motivation, reduce resistance to active learning, and help mitigate stereotype threat. The introduction of negatively phrased Instructor Talk suggests that some instructor behaviors may unintentionally harm student learning and should be carefully examined. The authors recommend that educators reflect on their non-content talk to enhance student engagement and learning outcomes. While Harrison et al. (2019)validated its applicability across multiple courses and identified new challenges related to negative instructor language. Both studies emphasize the importance of non-content communication in higher education, particularly in STEM courses.

Harrison, C. D., Nguyen, T. A., Seidel, S. B., Escobedo, A. M., Hartman, C., Lam, K., … & Tanner, K. D. (2019). Investigating instructor talk in novel contexts: Widespread use, unexpected categories, and an emergent sampling strategy. CBE—Life Sciences Education, 18(3), ar47. https://doi.org/10.1187/cbe.18-10-0215

Seidel, S. B., Reggi, A. L., Schinske, J. N., Burrus, L. W., & Tanner, K. D. (2015). Beyond the biology: A systematic investigation of noncontent instructor talk in an introductory biology course. CBE—Life Sciences Education, 14(4), ar43. https://doi.org/10.1187/cbe.15-03-0049

Integrating metacognitive and student engagement strategies into your practice

The article, How Changes in K-12 Schooling Hampered the Preparation of College Students” Published last month in the Chronicle of Higher Education,  explores how reforms in K-12 education, combined with broader societal changes and disruptions from the COVID-19 pandemic, and teacher shortages have affected the academic habits and preparedness of today’s college students, particularly Generation Z. When examining how test-based accountability has impacted curriculum design, policies such as “No Child Left Behind” have prioritized short-term performance over long-term learning.

Teaching became narrowly focused on test-taking skills, such as answering multiple-choice questions and writing formulaic essays, leaving students unprepared for broader academic tasks. “The [K-12] curriculum has been narrowed to mirror standardized tests. Students work on short passages to develop specific skills. Every class has a lesson, and every lesson has an assessment plan and an outcome. So when students arrive at college, they are conditioned to expect that same level of guidance. Ethan Hutt [an associate professor of education at the University of North Carolina at Chapel Hill], would like to give an assignment that goes like this: Pick a topic, write an essay, and say something interesting. But he finds he can’t — not even with his doctoral students”.

The article argues that, as a result, Students struggle with tasks like reading long texts and writing analytical essays because of a curriculum that favored short passages and responses. The shift away from holistic learning resulted in “atomized” education, where students are conditioned to expect detailed rubrics and granular guidance for assignments. Professors find that students enter college unprepared for the skills that are expected of them. Students often struggle with open-ended assignments, critical thinking, and engaging deeply with academic material. The article concludes that while K-12 reforms and the pandemic have played significant roles in shaping current students’ academic habits, broader systemic and cultural factors must also be addressed. Higher education inherits these challenges and must adapt to better support students’ academic and social transitions.

Based on the content of this article it may be helpful to integrate student engagement and metacognitive practices into first and second year classes such as integrating the Student Engagement Roster into your classroom practice:

SER Roster: The early feedback tool that allows faculty members to communicate with students about how they are doing in a class and make recommendations to improve or deepen their learning. SER also allows instructors to meet two faculty reporting obligations at IUB: Attendance verification and early evaluation grades. More information on those topics is available in the Help and Resources section.

Next week (1/20/2025) Submit SER with Attendance/Participation Feedback for:

  • Anyone not attending

  • Anyone already struggling to turn in work

  • Anyone doing a great job participating

Metacognitive Strategies

 

Think Aloud Exercises:

Anytime you can talk out loud (‘think aloud’) about how you view a document or a picture or programming an assignment, or share your thinking processes with students you are helping them become more metacognitive in their own approaches to the subject.  Once you have modeled for them how you would solve a problem or interpret a piece of writing, have students work in pairs to talk out loud as to how they are thinking about an assignment piece of homework or an assignment.

Concept Mapping: 

Learning benefits can be derived from instructor-led or student-constructed concept maps of the connections and key ideas from a course or class. It is best that the instructor demonstrate how to design a concept map of a class or course before students are asked to do the same. Show students how the readings, videos, assignments and activities are connected to the course learning outcomes and other courses.

Design a brief or detailed concept map of the course or sub-components of the course and share with students. Then later on in course students can form small groups and build a concept map as a review activity before a mid-term or as a review of a portion of the course. Students can do for homework or they can do in class and share with each other explaining the interrelationships between each component. Ask the students to draw all the ‘cross-links’ and label them as they see the components connecting fully or partially.

Guided Notes

Guided notes are structured outlines provided by an instructor that include key concepts, ideas, or topics, with spaces for students to fill in additional information during the lecture or while engaging with course content.

  • Lecture Notes: An instructor provides an outline of the lecture with prompts for students to add definitions, examples, or connections.

  • Reading Notes: A guided framework for analyzing a reading or resource, directing students’ attention to specific questions or themes.

  • Problem-Solving Frameworks: In mathematics or sciences, guided notes might include partial steps of a problem-solving process, leaving students to complete the solution.

This technique aligns with various teaching strategies, including scaffolding and universal design for learning (UDL), as it helps to bridge the gap between independent learning and instructor support.

More strategies and resources available here.

Evidence Based Research Supporting the Use of PlayPosit in classes

PlayPosit https://app.teaching.iu.edu/tools/playposit is an interactive teaching tool/application used to make interactive videos, also known as bulbs. The application can be integrated into the Canvas using your own videos or by extracting videos from other sources, such as YouTube or TED Talks, and convert them into an interactive, topic- and student-focused mini-lessons by adding questions at appropriate time-points in the video. Educators may also prepare video clips from longer recorded lectures and encourage student engagement by providing context or additional information through text and images on slides, inserting questions to check for understanding, including discussion and reflection questions, giving pre-recorded feedback as they see fit, and even incorporating polling. PlayPosit videos pause at certain intervals chosen by the instructor to give students an opportunity to respond.

PlayPosit settings allow for multiple playback options, including allowing students to rewind, fast forward or retake the activities. The instructor may also incorporate instant feedback after each question; so, students not only see whether they answered correctly but also understand the rationale. This feedback enables instructors to modify instructional activities midstream in light of their effectiveness, impact, and value. Because formative evaluations are designed to guide the teaching process – and are not used as outcome indicators – they are generally individualized evaluations that are under the control of the instructor and target specific instructional topics, issues or concerns.

van der Meij, H., & Bӧckmann, L. (2021). Effects of embedded questions in recorded lectures. Journal of Computing in Higher Education, 33(1), 235–254. https://doi.org/10.1007/s12528-020-09263-x

  • Researchers sought to examine the effectiveness of providing “open-ended embedded questions” in recorded video lessons to better prepare students for upcoming in-class topics.

  • Student surveys, user logs, and knowledge tests showed that learners “engaged significantly more with the embedded questions lecture” and showed “significantly higher” average scores on those topics. Researchers concluded that embedded questions “can increase the effectiveness of online video-recorded

     lectures.”

Lewandowski, H.J., Pollard, B., West, C.G. (2020). Using custom interactive video prelab activities in a large introductory lab course. 2019 Physics Education Research Conference Proceedings. https://doi.org/10.1119/perc.2019.pr.Lewandowski

  • As part of a broader redesign of a large introductory physics course at the University of Colorado Boulder, researchers developed pre-lab videos with embedded PlayPosit questions to help students better prepare for in-person lab activities.

  • Researchers found that 90% of students completed the pre-lab video modules, with the “vast majority of students spending a nontrivial amount of time engaging with each question.” 80% of students felt the activities prepared them well for in-person lab tasks.

Sherifi, D., Jia, Y., Hunt, T. J., & Ndanga, M. (2023). Evaluation of a PlayPosit guided group project’s impact on student engagement in an undergraduate course. Discover Education, 2(1), 32. https://doi.org/10.1007/s44217-023-00057-8

  • Students appreciated that PlayPosit activities were enjoyable and different from other learning resources. Eleven students expressed that PlayPosits were “enjoyable, “short”, “quick”, “not overbearing”, “not drawn out or boring”, “made learning fun”, “a unique way of learning”, and “kept students interested”.

  • PlayPosit increased the teaching presence of the professor by virtue of having multiple touch points with the material focused on relevant tasks.

  • PlayPosit contributed to better interaction of the students with the course content, and as per their comments, was helpful and beneficial, as well as interesting and attractive. Furthermore, students were more attentive to the other course videos and recordings.

Karpicke, J.D. (2012). Retrieval-based learning: Active retrieval promotes meaningful learning. Current Directions in Psychological Science, 21(3), 157–163. https://doi.org/10.1177/0963721412443552

  • Researchers compared the effects of different study strategies on student learning between three test groups in the same course: one studying concepts by rereading materials with no recall activities, one mostly rereading with some recall activities, and one reading just once with more recall activities.

  • While surveyed students believed rereading would be the most effective study strategy, those who simply reread the same materials with no recall activities performed poorest on assessments. Those who practiced just one retrieval activity “doubled long-term retention,” and those who practiced multiple retrieval activities showed even larger gains

For more information on how to integrate PlayPosit into your course, please visit https://app.teaching.iu.edu/tools/playposit