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Teacher-Student Curriculum Learning (TSCL) is a curriculum learning framework that draws inspiration from human cultural transmission and learning. It involves a teacher algorithm shaping the learning process of a learner algorithm by…

Machine Learning · Computer Science 2024-09-13 Manfred Diaz , Liam Paull , Andrea Tacchetti

Active methodologies aim to develop a critical sense of what is learned, relating theoretical concepts to the practical environment. In this work, we propose an active teaching-learning methodology for laboratory classes in which the…

Physics Education · Physics 2020-05-15 Suzane F. Pinto , Ronan S. Ferreira , Miguel M. Costa , Agmael M. Silva

The objective of physics laboratory training is to develop, in students, a variety of important cognitive and psycho-motor abilities related to experimental physics. These include conceptual understanding, procedural understanding,…

Physics Education · Physics 2013-11-26 Rajesh B. Khaparde

Project-based learning is recognized as an effective approach for improving engagement and applied understanding in STEM education. In quantum engineering courses, however, the question is no longer only whether students benefit from…

Physics Education · Physics 2026-05-01 Nischal Binod Gautam , Enrique P. Blair

Student responses in STEM assessments are often handwritten and combine symbolic expressions, calculations, and diagrams, creating substantial variation in format and interpretation. Despite their importance for evaluating students'…

Artificial Intelligence · Computer Science 2026-04-15 Xiuxiu Tang , G. Alex Ambrose , Ying Cheng

Projects and Practices in Physics (P$^3$) is an introductory physics class at Michigan State University that replaces lectures with a problem based learning environment. To promote the development of group based practices, students all…

Physics Education · Physics 2022-07-06 Kristina Griswold , Daryl McPadden , Marcos D. Caballero , Paul Irving

Teaching assistants (TAs) are often responsible for grading student solutions. Since grading communicates instructors' expectations, TAs' grading decisions play a crucial role in forming students' approaches to problem solving (PS) in…

Physics Education · Physics 2016-01-12 Charles Henderson , Emily Marshman , Alexandru Maries , Edit Yerushalmi , Chandralekha Singh

Teaching assistants (TAs) are often responsible for grading in introductory physics courses at large research universities. Their grading practices can shape students' approaches to problem solving and learning. Physics education research…

Physics Education · Physics 2021-02-16 Emily Marshman , Ryan Sayer , Charles Henderson , Edit Yerushalmi , Chandralekha Singh

A recent paper used structural equation modeling to infer effects of gender-dependent student attitudes on several outcomes of introductory physics courses. The model used is precisely Markov equivalent to an equally plausible approximation…

Physics Education · Physics 2023-02-20 Michael B. Weissman

Physics-based reinforcement learning tasks can benefit from simplified physics simulators as they potentially allow near-optimal policies to be learned in simulation. However, such simulators require the latent factors (e.g. mass, friction…

Machine Learning · Computer Science 2022-02-14 Buddhika Laknath Semage , Thommen George Karimpanal , Santu Rana , Svetha Venkatesh

We report results from a study designed to identify links between undergraduate students' views about experimental physics and their engagement in multiweek projects in lab courses. Using surveys and interviews, we explored whether students…

We redesigned an advanced physics laboratory course to include a project component. The intention was to address learning outcomes such as modeling, design of experiments, teamwork, and developing technical skills in using apparatus and…

Physics Education · Physics 2022-07-06 Bei Cai , Lindsay Mainhood , Robert G. Knobel

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

In order to track and comprehend the academic achievement of students, both private and public educational institutions devote a significant amount of resources and labour. One of the difficult issues that institutes deal with on a regular…

Computers and Society · Computer Science 2022-11-14 Bibhuprasad Mahakud , Bibhuti Parida , Ipsit Panda , Souvik Maity , Arpita Sahoo , Reeta Sharma

Reinforcement learning (rl) is a popular paradigm for sequential decision making problems. The past decade's advances in rl have led to breakthroughs in many challenging domains such as video games, board games, robotics, and chip design.…

Machine Learning · Computer Science 2022-11-01 Yanick Schraner

We study the problem of building an efficient learning system. Efficient learning processes information in the least time, i.e., building a system that reaches a desired error threshold with the least number of observations. Building upon…

Machine Learning · Computer Science 2025-09-26 Siyuan Guo , Bernhard Schölkopf

To help faculty use research-based materials in a more significant way, we learn about their perceived needs and desires and use this information to suggest ways for the Physics Education Research community to address these needs. When…

Physics graduate teaching assistants (TAs) are often responsible for grading. Physics education research suggests that grading practices that place the burden of proof for explicating the problem solving process on students can help them…

Physics Education · Physics 2017-01-06 Charles Henderson , Emily Marshman , Ryan Sayer , Chandralekha Singh , Edit Yerushalmi

A self-training scheme geared at inducing students to improve their skills through independent homework is presented. The motivation is to identify an inexpensive, yet effective tool for raising the competence level of students in the…

Physics Education · Physics 2018-09-14 G. L. Lippi

Much work in physics education research (PER) characterizes faculty teaching practice in terms of whether faculty use specific named PER-based teaching methods, either with fidelity or with adaptation; we call this research paradigm the…

Physics Education · Physics 2020-07-22 Linda E. Strubbe , Adrian M. Madsen , Sarah B. McKagan , Eleanor C. Sayre