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We investigated physics students' learning experience and behaviour in a second-year laboratory by analyzing transcribed audio recordings of laboratory sessions. One student group was given both a problem and procedure and asked to analyze…

Physics Education · Physics 2021-08-25 Bei Cai , Lindsay A. Mainhood , Ryan Groome , Corinne Laverty , Alastair McLean

Online teaching has become a new reality due to the COVID-19 pandemic raising a lot of questions about its learning outcomes. Recent studies have shown that peer communication positively affects learning outcomes of online teaching.…

Computers and Society · Computer Science 2022-04-12 Natalya Kozhevnikova

The COVID-19 pandemic has underscored the importance of blended learning in contemporary physics and, more generally, STEM education. In this contribution, we summarize current pedagogical models of blended learning, such as rotational and…

Physics Education · Physics 2024-03-21 Jozef Hanč , Dominik Borovský , Martina Hančová

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

An essential companion to the development and advancement of the field of Particle Physics is a strong program in physics education at all levels, that can attract entry level students across the full demographic spectrum and provide them…

Physics Education · Physics 2022-09-23 Sibrand J. de Jong , Sudhir Malik , Randal Ruchti

Transfer learning is an important new subfield of multiagent reinforcement learning that aims to help an agent learn about a problem by using knowledge that it has gained solving another problem, or by using knowledge that is communicated…

Artificial Intelligence · Computer Science 2020-02-10 Cameron Reid

Grading can shape students' learning and encourage use of effective problem solving practices. Teaching assistants (TAs) are often responsible for grading student solutions and providing feedback, thus, their perceptions of grading may…

Physics Education · Physics 2020-05-19 Emily Marshman , Alexandru Maries , Charles Henderson , Chandralekha Singh , Edit Yerushalmi

Course-based undergraduate research experiences (CUREs) increase students' access to research. This lesson plan describes an interdisciplinary CURE developed to be able to involve over 60 students per semester in original research using…

Developing expertise in physics requires appropriate integration and assimilation of physics and mathematics. Instructors and students often describe physics courses in terms of their emphasis on conceptual and quantitative problem-solving.…

Physics Education · Physics 2025-12-11 Apekshya Ghimire , Chandralekha Singh

There is widespread emphasis on reform in the teaching of introductory statistics at the college level. Underpinning this reform is a consensus among educators and practitioners that traditional curricular materials and pedagogical…

Applications · Statistics 2010-07-20 Rossi A. Hassad

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

Students must learn effective problem solving strategies in order to develop expertise in physics. Effective problem solving strategies include a conceptual analysis of the problem followed by planning of the solution, and then…

Physics Education · Physics 2016-05-03 Andrew J. Mason , Chandralekha Singh

Physics Education Research has shown that the active methodologies are better than traditional methodologies, the most popular are PODS and PI. However, there are three problems that blur their effectiveness: first, the pre and post-test do…

Physics Education · Physics 2022-06-03 Paco H. Talero L

Recent studies provide evidence that social constructivist pedagogical methods such as active learning, interactive engagement, and inquiry-based learning, while pedagogically more effective, can enable inequities in the classroom. By…

Physics Education · Physics 2024-01-12 Matthew Dew , Emma Hunt , Viranga Perera , Jonathan Perry , Gregorio Ponti , Andrew Loveridge

AI's integration into education promises to equip teachers with data-driven insights and intervene in student learning. Despite the intended advancements, there is a lack of understanding of interactions and emerging dynamics in classrooms…

Computers and Society · Computer Science 2024-12-20 Bingyi Han , Simon Coghlan , George Buchanan , Dana McKay

Physics community is generally concerned about the decrease in Physics enrollment. Due to the deficiency of specially qualified Physics teachers, high school Physics is sometimes taught by general science teachers who may not be trained to…

Physics Education · Physics 2014-05-27 Samina S Masood

Educators are more than workers within educational systems; they are stewards of educational systems. They must analyze student performance data, identify patterns that inform targeted interventions and personalized learning plans,…

The shortage of highly qualified high school physics teachers is a national problem. The Mitchell Institute Physics Enhancement Program (MIPEP) is a two-week professional development program for in-service high school physics teachers with…

Physics Education · Physics 2021-06-03 Anne Wang , Jonathan Perry , Matthew Dew , Mary Head , Tatiana Erukhimova

Sound educational policy recommendations require valid estimates of causal effects, but observational studies in physics education research sometimes have loosely specified causal hypotheses. The connections between the observational data…

Physics Education · Physics 2021-09-22 M. B. Weissman

Prioritized Experience Replay (PER) is a deep reinforcement learning technique in which agents learn from transitions sampled with non-uniform probability proportionate to their temporal-difference error. We show that any loss function…

Machine Learning · Computer Science 2020-10-23 Scott Fujimoto , David Meger , Doina Precup