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In this work, we investigate how two factors, metacognitive skills and motivation, would impact student learning across domains. More specifically, our primary goal is to identify the critical, yet robust, interaction patterns of these two…

Human-Computer Interaction · Computer Science 2023-03-27 Mark Abdelshiheed , Guojing Zhou , Mehak Maniktala , Tiffany Barnes , Min Chi

Professional development workshops are commonly used to promote the adoption of research-based instructional strategies among physics and astronomy faculty. After learning about such strategies, faculty are often motivated to modify and…

Physics Education · Physics 2015-12-02 Alice Olmstead , Chandra Turpen

Humans must flexibly arbitrate between exploring alternatives and exploiting learned strategies, yet they frequently exhibit maladaptive persistence by continuing to execute failing strategies despite accumulating negative evidence. Here we…

Machine Learning · Computer Science 2026-03-24 Zhipeng Zhang , Hongshun He

We study policy distillation under privileged information, where a student policy with only partial observations must learn from a teacher with full-state access. A key challenge is information asymmetry: the student cannot directly access…

Robotics · Computer Science 2025-05-15 Yujin Kim , Nathaniel Chin , Arnav Vasudev , Sanjiban Choudhury

If students have a broad spectrum of study skills, learning will likely be positively affected, since they can adapt the way they learn in different situations. Such study skills can be learned in for example learning-to-learn courses.…

Computers and Society · Computer Science 2016-08-03 Björn Hedin , Viggo Kann

While Large Language Models (LLMs) have emerged with remarkable capabilities in complex tasks through Chain-of-Thought reasoning, practical resource constraints have sparked interest in transferring these abilities to smaller models.…

Computation and Language · Computer Science 2026-01-08 Jin Cui , Jiaqi Guo , Jiepeng Zhou , Ruixuan Yang , Jiayi Lu , Jiajun Xu , Jiangcheng Song , Boran Zhao , Pengju Ren

Retriever-augmented instruction-following models are attractive alternatives to fine-tuned approaches for information-seeking tasks such as question answering (QA). By simply prepending retrieved documents in its input along with an…

Computation and Language · Computer Science 2024-04-18 Vaibhav Adlakha , Parishad BehnamGhader , Xing Han Lu , Nicholas Meade , Siva Reddy

Reflective writing is part of many higher education courses across the globe. It is often considered a challenging task for students as it requires self-regulated learning skills to appropriately plan, timely engage and deeply reflect on…

Computers and Society · Computer Science 2022-11-16 Wannapon Suraworachet , Qi Zhou , Mutlu Cukurova

In the framework of on-line learning, a learning machine might move around a teacher due to the differences in structures or output functions between the teacher and the learning machine or due to noises. The generalization performance of a…

Physics and Society · Physics 2009-11-11 Seiji Miyoshi , Masato Okada

Several researches in psychology and science of education affirm the impact of learning style on the learning process and encourage its taking into account in the teaching strategies in order to facilitate the task for learners and improve…

Computers and Society · Computer Science 2014-07-24 Ahmed Bouchboua , Rabah Ouremchi , Fayçal Messaoudi , Mohammed El Ghazi

Mixed-effects models fit to observational practice data are widely used in learning analytics to estimate student-level variation in initial knowledge and learning rate, and the resulting estimates increasingly inform substantive claims…

Computers and Society · Computer Science 2026-05-19 Hansol Lee , Guilherme Lichand , Cristina Barnard , Lucas Klotz , Candace Thille , Yunsung Kim , Benjamin W. Domingue

Students, after they leave our care, are called to solve the diverse problems of the world, so we should teach to increase transfer: the ability to apply fundamental principles to new problems and contexts. This ability is rare. The…

Physics Education · Physics 2007-05-23 Sanjoy Mahajan

Teaching plays a very important role in our society, by spreading human knowledge and educating our next generations. A good teacher will select appropriate teaching materials, impact suitable methodologies, and set up targeted…

Machine Learning · Computer Science 2018-05-11 Yang Fan , Fei Tian , Tao Qin , Xiang-Yang Li , Tie-Yan Liu

When users can benefit from certain predictive outcomes, they may be prone to act to achieve those outcome, e.g., by strategically modifying their features. The goal in strategic classification is therefore to train predictive models that…

Machine Learning · Computer Science 2023-06-12 Guy Horowitz , Nir Rosenfeld

Differentiable physics is a powerful approach to learning and control problems that involve physical objects and environments. While notable progress has been made, the capabilities of differentiable physics solvers remain limited. We…

Machine Learning · Computer Science 2020-07-07 Yi-Ling Qiao , Junbang Liang , Vladlen Koltun , Ming C. Lin

Contribution: A flipped classroom approach to teaching empirical software engineering increases student learning by providing more time for active learning in class. Background: There is a need for longitudinal studies of the flipped…

Software Engineering · Computer Science 2020-01-13 Lucas Gren

When education researchers describe newly developed curricular materials, they typically concentrate on the research base behind their design, and the efficacy of the final products, but do not highlight the initial stages of creating the…

Physics Education · Physics 2013-09-04 Charles Baily , Michael Dubson , Steven J. Pollock

In this paper we investigate the extent to which students' problem-solving behaviors change as a result of working on multi-faceted, context-rich problems. During the semester, groups of two to three students work on several problems that…

Misconception is the difference between a student's idea and his scientific concept. Physics learning needs to be designed by teachers to minimize misconceptions. Different diagnostic tools have been developed and used by researchers to…

Physics Education · Physics 2025-01-22 Mutmainna Mutmainna , Edi Istiyono , Haryanto Haryanto , Heri Retnawati , Caly Setiawan

In this paper, we make an important step towards the black-box machine teaching by considering the cross-space machine teaching, where the teacher and the learner use different feature representations and the teacher can not fully observe…

Machine Learning · Statistics 2018-06-07 Weiyang Liu , Bo Dai , Xingguo Li , Zhen Liu , James M. Rehg , Le Song
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