- Physical Review Journals
All JournalsPhysics Magazine

Physical Review Physics Education Research

Articles Citing

Physics instructors’ acceptance and implementation of generative AI

Pornrat Wattanakasiwich1,*, Kreetha Kaewkhong2, and Duanghathai Katwibun2

  • 1Department of Physics and Material Sciences, Faculty of Science, Chiang Mai University, Chiang Mai, 50200 Thailand
  • 2Department of Curriculum, Teaching & Learning, Faculty of Education, Chiang Mai University, Chiang Mai, 50200 Thailand

  • *Contact author: pornrat.w@cmu.ac.th

Artificial intelligence in physics education: A systematic review of content coverage, implementation models, learning impact, and pedagogical challenges

Roziqin Roziqin, Achmad Samsudin, Duden Saepuzaman, Haslinda Nawang Sari, and Mimin Iryanti

steme 6 539 (2026)

When AI evaluates its own work: Validating learner-initiated, AI-generated physics practice problems

Tobias Geisler and Gerd Kortemeyer

Phys. Rev. Phys. Educ. Res. 22 010134 (2026)

Evaluating middle school physics teachers’ use of AI in lesson planning: A comparative study with three groups from Austria

Florian Budimaier, Matthias Fasching, Anna Reumann, and Esmeralda Campos

Phys. Rev. Phys. Educ. Res. 22 010136 (2026)

Pragmatic users and skeptical nonusers: A qualitative typology of ChatGPT adoption in physics education

Eleonore Becker, Antonia Bauer, Johanna Schrader, Philipp Bitzenbauer, and Joaquin Veith

Phys. Rev. Phys. Educ. Res. 22 020112 (2026)

From search to GenAI queries: Global trends in physics information-seeking across topics and regions

Yossi Ben-Zion, Omer Michaeli, and Noah D. Finkelstein

Phys. Rev. Phys. Educ. Res. 22 020120 (2026)

Modeling high school students’ acceptance of GenAI for physics learning via an extended technology acceptance model: Disciplinary beliefs as a distal antecedent

Jingbin Xue, Wangyi Xu, Yuyang Qi, and Dechao Lu

Phys. Rev. Phys. Educ. Res. 22 020148 (2026)

Faculty orientations shape adoption of AI in research and teaching

T. J. Atherton, I. Descamps, M. Webel, T. R. Holmes, C. L. Vizcarra, N. Sui, and J. J. Foley

Phys. Rev. Phys. Educ. Res. 22 020152 (2026)

Generative Artificial Intelligence in High School Science Education: A Systematic Review of Learning Outcomes, Pedagogical Strategies, and Critical Thinking Development

Aniza Cargason, Shaniz F. Dumam-ag, Jehan U. Amol, Samcedar M. Dirampatun, and Matthew Sabasales

JELR 3 e3979 (2026)

AI-generated feedback on student solutions to graphical problems in kinematics and dynamics

John Tipaz, Kevin Ortega-Chávez, Johnny Hidalgo, Juan López-Ruano, and Darwin Casaliglla

Front. Educ. 11 1769356 (2026)

How physics professors use and frame generative AI tools

Vidar Skogvoll and Tor Ole Odden

Eur. J. Phys. 47 025713 (2026)

Evaluating Gemma 3 27B for local undergraduate physics tutoring

Marcel Völschow, Paweł Buczek, Philipp Riefer, Adelina Jasko, and Peter Steinbach

Discov Artif Intell 6 1392 (2026)

Generative AI in physics education: Approaches for instructors to integrate new tools with proven practices

Melissa Eblen-Zayas

American Journal of Physics 94 836 (2026)

Model of mechanical phenomena in school physics supported by generative AI

J Válek and P Sládek

J. Phys.: Conf. Ser. 3155 012005 (2025)

Evaluating AI-Assisted Instructional Systems in Secondary Physics: A Quasi-Experimental Study From the United Arab Emirates

Abdullah Altal and Hassan Abo Ehsaiyan

Inquisiva Open 1 (2025)

Mapping quantum industry demands to education: a critical analysis of skills, qualifications, and modalities

Shalini Devendrababu, Srinjoy Ganguly, and Kannan Hemachandran

EPJ Quantum Technol. 12 105 (2025)

Select page:
  • 1

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation