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The ChatGPT Python API plays a crucial role in promoting Learner-Centered Instruction (LCI) and aligns with the principles of Tinker Learning, allowing students to discover their learning strategies. LCI emphasizes the importance of active,…

Computers and Society · Computer Science 2023-05-02 Yun-Cheng Tsai

As AI increasingly enters the classroom, what changes when students collaborate with algorithms instead of peers? We analyzed 36 undergraduate students learning graph theory through peer collaboration (n=24) or AI assistance (n=12), using…

Human-Computer Interaction · Computer Science 2026-01-21 Caitlin Morris , Pattie Maes

Obtaining knowledge and skill achievement through peer learning can lead to higher academic achievement. However, peer learning implementation is not just about putting students together and hoping for the best. At its worst-designed, peer…

Computers and Society · Computer Science 2019-10-29 Seyede Fatemeh Noorani , Mohammad Hossein Manshaei , Mohammad Ali Montazeri , Behnaz Omoomi

Peer review is a widely utilized feedback mechanism for engaging students. As a pedagogical method, it has been shown to improve educational outcomes, but we have found limited empirical measurement of peer review in visualization courses.…

Human-Computer Interaction · Computer Science 2021-08-09 Zachariah Beasley , Alon Friedman , Paul Rosen

We present a question bank consisting of over 250 multiple-choice and true-false questions covering a broad range of material typically taught in an introductory undergraduate course in numerical analysis or scientific computing. The…

Physics Education · Physics 2024-10-08 M. Alamgir Hossain , Petra M. Menz , John M. Stockie

Many early career educators, such as teaching assistants (TAs) in college courses, as well as pre-college educators, need help both with content and pedagogical knowledge to effectively help their students learn. One pedagogical approach…

Physics Education · Physics 2025-10-17 Apekshya Ghimire , Chandralekha Singh

MOOCs have the potential to revolutionize higher education with their wide outreach and accessibility, but they require instructors to come up with scalable alternates to traditional student evaluation. Peer grading -- having students…

Machine Learning · Computer Science 2014-04-15 Karthik Raman , Thorsten Joachims

Flipped learning is a method that flips in/out class activities to make lectures learner-centered. In flipped learning, comments from learners on preparation material are useful information for instructors to consider before deciding…

Computers and Society · Computer Science 2020-07-30 Shintaro Uchiyama , Hayato Okumoto , Mitsuo Yoshida , Yuko Ichikawa , Kyoji Umemura

Educational recommenders have received much less attention in comparison to e-commerce and entertainment-related recommenders, even though efficient intelligent tutors have great potential to improve learning gains. One of the main…

Information Retrieval · Computer Science 2021-09-15 Sahan Bulathwela , Maria Perez-Ortiz , Erik Novak , Emine Yilmaz , John Shawe-Taylor

Teachers' response to the real-time needs of diverse learners in the classroom is important for each learner's success. Teachers who give differentiated instruction (DI) provide pertinent support to each student and acknowledge their…

Physics Education · Physics 2020-05-11 Nine Sellier , Pengcheng An

Structured Peer Learning (SPL) is a form of peer-based supplemental instruction that focuses on mentoring, guidance, and development of technical, communication, and social skills in both the students receiving assistance and the students…

Computers and Society · Computer Science 2017-03-14 Teresa Leyk , Robert McInvale , Ling Chen

Engaging students with well-designed clicker questions is one of the commonly used research-based instructional strategy in physics courses partly because it has a relatively low barrier to implementation. Moreover, validated robust…

Physics Education · Physics 2020-06-11 Paul Justice , Emily Marshman , Chandralekha Singh

Peer learning is a novel high-level reinforcement learning framework for agents learning in groups. While standard reinforcement learning trains an individual agent in trial-and-error fashion, all on its own, peer learning addresses a…

Machine Learning · Computer Science 2024-05-07 Cedric Derstroff , Mattia Cerrato , Jannis Brugger , Jan Peters , Stefan Kramer

The "free rider" problem has long plagued pedagogies based on collaborative learning. The most common solution to the free rider problem is peer evaluation. As well other existing methods of peer evaluation include self-evaluation --- and…

History and Overview · Mathematics 2019-04-09 Fedor Duzhin

Art education plays a significant role in K-2 learners' physical and cognitive development. However, teachers struggle to translate in-person activities to remote settings and to give necessary feedback to help learners develop fine motor…

Human-Computer Interaction · Computer Science 2026-05-28 Gennie Mansi , Ashley Boone , Sue Reon Kim , Jessica Roberts

Peer assessment is an efficient and effective learning assessment method that has been used widely in diverse fields in higher education. Despite its many benefits, a fundamental problem in peer assessment is that participants lack the…

Computers and Society · Computer Science 2015-06-19 Yanqing Wang , Yaowen Liang , Luning Liu , Ying Liu

We study the problem of predicting student knowledge acquisition in online courses from clickstream behavior. Motivated by the proliferation of eLearning lecture delivery, we specifically focus on student in-video activity in lectures…

Machine Learning · Computer Science 2021-11-17 Yun-Wei Chu , Elizabeth Tenorio , Laura Cruz , Kerrie Douglas , Andrew S. Lan , Christopher G. Brinton

Generative AI has the potential to transform personalization and accessibility of education. However, it raises serious concerns about accuracy and helping students become independent critical thinkers. In this study, we designed a helpful…

Class-incremental learning (CIL) is a particularly challenging variant of continual learning, where the goal is to learn to discriminate between all classes presented in an incremental fashion. Existing approaches often suffer from…

Machine Learning · Computer Science 2024-03-12 Michał Zając , Tinne Tuytelaars , Gido M. van de Ven

Active learning strategies have been widely recognised for their effectiveness in tertiary education, yet their implementation at scale, particularly in large first-year mathematics courses, presents considerable challenges. A common method…

History and Overview · Mathematics 2025-04-30 Raymond Vozzo , Stuart Johnson , Jonathan Tuke , Tanya Evans