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Related papers: Fostering Peer Learning through a New Game-Theoret…

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In digital learning systems, gaming the system refers to occasions when students attempt to succeed in an educational task by systematically taking advantage of system features rather than engaging meaningfully with the content. Often…

Computers and Society · Computer Science 2026-01-09 Jiayi Zhang , Conrad Borchers , Canwen Wang , Vishal Kumar , Leah Teffera , Bruce M. McLaren , Ryan S. Baker

The academic peer review system is under increasing pressure due to a growing volume of submissions and a limited pool of available reviewers, resulting in delayed decisions and an uneven distribution of reviewing responsibilities. Building…

Software Engineering · Computer Science 2025-08-08 Chakkrit Tantithamthavorn , Nicole Novielli , Ayushi Rastogi , Olga Baysal , Bram Adams

Robotics education fosters computational thinking, creativity, and problem-solving, but remains challenging due to technical complexity. Game-based learning (GBL) and gamification offer engagement benefits, yet their comparative impact…

Game theory formalizes certain interactions between physical particles or between living beings in biology, sociology, and economics, and quantifies the outcomes by payoffs. The prisoner's dilemma (PD) describes situations in which it is…

Physics and Society · Physics 2015-05-13 Dirk Helbing , Sergi Lozano

Peer assessment is a popular technique for a more fine-grained evaluation of individual students in group projects. Its effect on the evaluation is well studied. However, its effects on the learning abilities of students are often…

Software Engineering · Computer Science 2020-12-08 Wouter Groeneveld , Joost Vennekens , Kris Aerts

This paper focuses on "tracing player knowledge" in educational games. Specifically, given a set of concepts or skills required to master a game, the goal is to estimate the likelihood with which the current player has mastery of each of…

Artificial Intelligence · Computer Science 2019-08-16 Pavan Kantharaju , Katelyn Alderfer , Jichen Zhu , Bruce Char , Brian Smith , Santiago Ontañón

In recent years, peer learning has gained attention as a method that promotes spontaneous thinking among learners, and its effectiveness has been confirmed by numerous studies. This study aims to develop an AI Agent as a learning companion…

Artificial Intelligence · Computer Science 2025-07-18 Sosui Moribe , Taketoshi Ushiama

Playing two-player games using reinforcement learning and self-play can be challenging due to the complexity of two-player environments and the possible instability in the training process. We propose that a reinforcement learning algorithm…

Machine Learning · Computer Science 2025-02-06 Kimiya Saadat , Richard Zhao

One of the main difficulties remains the collaboration between the various experts involved in designing the Learning Games (LG). Our literature review focuses on the pitfalls and principles that have been identified by various authors in…

Human-Computer Interaction · Computer Science 2024-01-12 Nadine Mandran , Estelle Prior , Eric Sanchez , Mathieu Vermeulen

The purpose of this study is to propose a model that predicts the social and psychological factors that affect the individuals collaborative learning outcome in group projects. The model is established on the basis of two theories, namely,…

Computers and Society · Computer Science 2016-10-18 Sara Taraman , Yasmin Hassan , Doaa Shawky , Ashraf H. Badawi

There has been strong interest among higher education institution in implementing technology-enhanced peer assessment as a tool for enhancing students' learning. However, little is known on how to use the peer assessment system in…

Physics Education · Physics 2020-02-13 Yosep Dwi Kristanto

When executed well, project-based learning (PBL) engages students' intrinsic motivation, encourages students to learn far beyond a course's limited curriculum, and prepares students to think critically and maturely about the skills and…

Computers and Society · Computer Science 2025-03-11 Gati Aher , Robin Schmucker , Tom Mitchell , Zachary C. Lipton

Large Language Models (LLMs) have shown promise as educational tutors, yet effective tutoring requires more than solving problems: it must provide progressive Socratic guidance and balance multiple pedagogical objectives across multi-turn…

Machine Learning · Computer Science 2026-05-29 Qikai Chang , Zhenrong Zhang , Linbo Chen , Pengfei Hu , Jianshu Zhang , Youhui Guo , Jun Du

Peer grading is an educational system in which students assess each other's work. It is commonly applied under Massive Open Online Course (MOOC) and offline classroom settings. With this system, instructors receive a reduced grading…

Applications · Statistics 2025-10-01 Giuseppe Mignemi , Yunxiao Chen , Irini Moustaki

Substantial research indicates that active learning methods improve student learning more than traditional lecturing. Accordingly, current studies aim to characterize and evaluate different instructors' implementations of active learning…

We present the first reinforcement-learning model to self-improve its reward-modulated training implemented through a continuously improving "intuition" neural network. An agent was trained how to play the arcade video game Pong with two…

Artificial Intelligence · Computer Science 2016-09-26 Matt Oberdorfer , Matt Abuzalaf

Federated Learning rests on the notion of training a global model distributedly on various devices. Under this setting, users' devices perform computations on their own data and then share the results with the cloud server to update the…

Machine Learning · Computer Science 2020-09-15 Rui Hu , Yanmin Gong

Peer grading has emerged as a scalable solution for assessment in large and online classrooms, offering both logistical efficiency and pedagogical value. However, designing effective peer-grading systems remains challenging due to…

Computers and Society · Computer Science 2025-12-02 Uchswas Paul , Ananya Mantravadi , Jash Shah , Shail Shah , Sri Vaishnavi Mylavarapu , M Parvez Rashid , Edward Gehringer

In this paper, a new population-guided parallel learning scheme is proposed to enhance the performance of off-policy reinforcement learning (RL). In the proposed scheme, multiple identical learners with their own value-functions and…

Machine Learning · Computer Science 2020-01-10 Whiyoung Jung , Giseung Park , Youngchul Sung

In higher education, gamification offers the prospect of providing a pivotal shift from traditional asynchronous forms of engagement, to developing methods to foster greater levels of synchronous interactivity and partnership between and…

General Economics · Economics 2021-04-20 Nicholas Dacre , Vasilis Gkogkidis , Peter Jenkins