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1. Measuring Mental Demand Using Pupil Dilation in an Augmented Reality Environment

   https://doi.org/10.1177/10711813251358793  

   Mohanty, Siddarth; Kim, Jung Hyup; Mostowfi, Sara; Wang, Fang; Oprean, Danielle; Seo, Kangwon; Wang, Yi (July 2025, Proceedings of the Human Factors and Ergonomics Society Annual Meeting)

   This study investigates the method for measuring cognitive workload in augmented reality-based biomechanics lectures by analyzing pupil dilation. Using Dikablis Glasses 3 and Microsoft HoloLens, we recorded physiological and subjective data across learning and problem-solving phases. Pupil dilation was normalized and segmented, enabling a comparison of cognitive demands between phases. The results indicated significant correlations between pupil dilation and NASA TLX cognitive demand, particularly in lectures that primarily involved procedural knowledge. These findings suggest that instructional design and content complexity have a significant impact on cognitive load, providing valuable insights for optimizing AR-based learning environments to support cognitive efficiency and student engagement. 

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2. The Effectiveness of Synchronous vs Asynchronous Modes of Instruction in an Online Flipped Design Thinking Course

   Mohandas, L. (July 2021, 2021 ASEE Annual Conference & Exposition)

   Motivation: This is a complete paper. There was a sudden shift from traditional learning to online learning in Spring 2020 with the outbreak of COVID-19. Although online learning is not a new topic of discussion, universities, faculty, and students were not prepared for this sudden change in learning. According to a recent article in ‘The Chronicle of Higher Education, “even under the best of circumstances, virtual learning requires a different, carefully crafted approach to engagement”. The Design Thinking course under study is a required freshmen level course offered in a Mid-western University. The Design Thinking course is offered in a flipped format where all the content to be learned is given to students beforehand and the in-class session is used for active discussions and hands-on learning related to the content provided at the small group level. The final learning objective of the course is a group project where student groups are expected to come up with functional prototypes to solve a real-world problem following the Design Thinking process. There were eighteen sections of the Design Thinking course offered in Spring 2020, and with the outbreak of COVID-19, a few instructors decided to offer synchronous online classes (where instructors were present online during class time and provided orientation and guidance just like a normal class) and a few others decided to offer asynchronous online classes (where orientation from the instructor was delivered asynchronous and the instructor was online during officially scheduled class time but interactions were more like office hours). Students were required to be present synchronously at the team level during the class time in a synchronous online class. In an asynchronous online class, students could be synchronous at the team level to complete their assignment any time prior to the deadline such that they could work during class time but they were not required to work at that time. Through this complete paper, we are trying to understand student learning, social presence and learner satisfaction with respect to different modes of instruction in a freshmen level Design Thinking course. Background: According to literature, synchronous online learning has advantages such as interaction, a classroom environment, and better course quality whereas asynchronous online learning has advantages such as self-controlled and self-directed learning. The disadvantages of synchronous online learning include the learning process, technology issues, and distraction. Social isolation, lack of interaction, and technology issue are a few disadvantages related to asynchronous online learning. Problem Being Addressed: There is a limited literature base investigating different modes of online instruction in a Design Thinking course. Through this paper, we are trying to understand and share the effectiveness of synchronous and asynchronous modes of instruction in an online Flipped Design Thinking Course. The results of the paper could also help in this time of pandemic by shedding light on the more effective way to teach highly active group-based classrooms for better student learning, social presence, and learner satisfaction. Method/Assessment: An end of semester survey was monitored in Spring 2020 to understand student experiences in synchronous and asynchronous Design Thinking course sections. The survey was sent to 720 students enrolled in the course in Spring 2020 and 324 students responded to the survey. Learning was measured using the survey instrument developed by Walker (2003) and the social presence and learner satisfaction was measured by the survey modified by Richardson and Swan (2003). Likert scale was used to measure survey responses. Anticipated Results: Data would be analyzed and the paper would be completed by draft paper submission. As the course under study is a flipped and active course with a significant component of group work, the anticipated results after analysis could be that one mode of instruction has higher student learning, social presence, and learner satisfaction compared to the other. 

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3. Surveying online interaction: Relating college instructor characteristics and perceptions to online instructional practices

   Orona, G.; Li, Q.; McPartlan, P.; Bartek, C.; Xu, D. (November 2020, Online Learning Research Center)

   null (Ed.)

   Little is known regarding the use of, and factors related with, interaction-oriented practices. In this study we investigate instructors’ use of interaction-oriented practices in online college courses. We begin by drawing on several strands of literature to offer a person-purpose interaction framework for categorizing interaction-oriented practices. The framework’s six sub-domains integrate for whom students are interacting (instructor, student, content) with the interaction’s pedagogical purpose (academic, social, managerial). Subsequently, we examine factors that predict instructors’ use of these six domains of practices, including instructors’ characteristics and their perceptions of online learning, using a sample of (n = 126) community college instructors teaching online courses. The results show that instructors using more interaction-oriented practices consistently have greater employment status and teaching load, greater self-efficacy for using learning management systems, and greater perceived benefits of online learning for students, with subtle distinctions found across sub-domains. The findings have several implications for future research examining pedagogical behavior, as well as the design of professional development activities aimed at enhancing the use of effective online instructional practices among college instructors. 

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4. Seeding Course Forums using the Teacher-in-the-Loop

   https://doi.org/10.1145/3448139.3448142  

   Shusterman, Einat; Kim, Hyunsoo Gloria; Facciotti, Marc; Igo, Michele; Sripathi, Kamali; Karger, David; Segal, Avi; Gal, Kobi (April 2021, LAK21: 11th International Learning Analytics and Knowledge Conference)

   null (Ed.)

   Online forums are an integral part of modern day courses, but motivating students to participate in educationally beneficial discussions can be challenging. Our proposed solution is to initialize (or “seed”) a new course forum with comments from past instances of the same course that are intended to trigger discussion that is beneficial to learning. In this work, we develop methods for selecting high-quality seeds and evaluate their impact over one course instance of a 186-student biology class. We designed a scale for measuring the “seeding suitability” score of a given thread (an opening comment and its ensuing discussion). We then constructed a supervised machine learning (ML) model for predicting the seeding suitability score of a given thread. This model was evaluated in two ways: first, by comparing its performance to the expert opinion of the course instructors on test/holdout data; and second, by embedding it in a live course, where it was actively used to facilitate seeding by the course instructors. For each reading assignment in the course, we presented a ranked list of seeding recommendations to the course instructors, who could review the list and filter out seeds with inconsistent or malformed content. We then ran a randomized controlled study, in which one group of students was shown seeds that were recommended by the ML model, and another group was shown seeds that were recommended by an alternative model that ranked seeds purely by the length of discussion that was generated in previous course instances. We found that the group of students that received posts from either seeding model generated more discussion than a control group in the course that did not get seeded posts. Furthermore, students who received seeds selected by the ML-based model showed higher levels of engagement, as well as greater learning gains, than those who received seeds ranked by length of discussion. 

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5. Spotlights: Designs for Directing Learners' Attention in a Large-Scale Social Annotation Platform

   https://doi.org/10.1145/3555598  

   Almahmoud, Jumana; Jahanbakhsh, Farnaz; Facciotti, Marc; Igo, Michele; Sripathi, Kamali; Gal, Kobi; Karger, David (November 2022, Proceedings of the ACM on Human-Computer Interaction)

   A new approach to online discussion, which situates student discussions in the margins of the course content, can enhance student engagement with course materials. However, in high-enrollment classes, the large number of comments can overwhelm and intimidate students. Some become frustrated by the volume of potential online interactions and by a perceived lack of immediate relevance to their studies. Likewise, instructors are disappointed when outstanding discussions, that they deem valuable for all to see, get lost in the clutter. To address these challenges, we propose visual spotlighting mechanisms for increasing the saliency of selected comments. We piloted and deployed multiple designs in two high-enrollment biology courses at a large public university in the United States. Interviews, surveys, and a controlled experiment show that spotlighting relevant comments in heavily annotated texts positively affects students' engagement, measured in terms of their attention to comments, and their reported sense of validation and pride. Students also reported their preferences for certain spotlighting designs. 

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