Mapping the literature landscape of artificial intelligence and machine learning in physics education research
written by
Amir Bralin, Amogh Sirnoorkar, Yiyuan Zhang, and N. Sanjay Rebello
This paper examines the topical areas where machine learning (ML) and artificial intelligence (AI) techniques have been applied in physics education research (PER), based on a systematic review of studies published in the Physical Review Physics Education Research journal and Physics Education Research Conference proceedings. Following the PRISMA guidelines, 79 articles were analyzed, revealing six major themes: (i) development and analysis of assessments, (ii) student success, (iii) student engagement, (iv) theoretical and methodological overview, (v) admissions, and (vi) other areas like literature reviews. The most common theme was using AI/ML for developing, evaluating, and characterizing student responses on physics assessments. Other prominent areas included predicting student success, analyzing collaboration patterns, and providing methodological guidance. The study scope was limited to these two publication venues and classified articles primarily based on abstracts.
Physics Education Research Conference 2024
Part of the PER Conference series
Boston, MA: July 10-11, 2024
Pages 52-59
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<a href="https://www.compadre.org/portal/items/detail.cfm?ID=16871">Bralin, A, A. Sirnoorkar, Y. Zhang, and N. Rebello. "Mapping the literature landscape of artificial intelligence and machine learning in physics education research." Paper presented at the Physics Education Research Conference 2024, Boston, MA, July 10-11, 2024.</a>
A. Bralin, A. Sirnoorkar, Y. Zhang, and N. Rebello, , presented at the Physics Education Research Conference 2024, Boston, MA, 2024, WWW Document, (https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16871&DocID=5938).
A. Bralin, A. Sirnoorkar, Y. Zhang, and N. Rebello, Mapping the literature landscape of artificial intelligence and machine learning in physics education research, presented at the Physics Education Research Conference 2024, Boston, MA, 2024, <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16871&DocID=5938>.
Bralin, A., Sirnoorkar, A., Zhang, Y., & Rebello, N. (2024, July 10-11). Mapping the literature landscape of artificial intelligence and machine learning in physics education research. Paper presented at Physics Education Research Conference 2024, Boston, MA. Retrieved May 11, 2025, from https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16871&DocID=5938
Bralin, A, A. Sirnoorkar, Y. Zhang, and N. Rebello. "Mapping the literature landscape of artificial intelligence and machine learning in physics education research." Paper presented at the Physics Education Research Conference 2024, Boston, MA, July 10-11, 2024. https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16871&DocID=5938 (accessed 11 May 2025).
Bralin, Amir, Amogh Sirnoorkar, Yiyuan Zhang, and N. Sanjay Rebello. "Mapping the literature landscape of artificial intelligence and machine learning in physics education research." Physics Education Research Conference 2024. Boston, MA: 2024. 52-59 of PER Conference. 11 May 2025 <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16871&DocID=5938>.
@inproceedings{
Author = "Amir Bralin and Amogh Sirnoorkar and Yiyuan Zhang and N. Sanjay Rebello",
Title = {Mapping the literature landscape of artificial intelligence and machine learning in physics education research},
BookTitle = {Physics Education Research Conference 2024},
Pages = {52-59},
Address = {Boston, MA},
Series = {PER Conference},
Month = {July 10-11},
Year = {2024}
}
%A Amir Bralin %A Amogh Sirnoorkar %A Yiyuan Zhang %A N. Sanjay Rebello %T Mapping the literature landscape of artificial intelligence and machine learning in physics education research %S PER Conference %D July 10-11 2024 %P 52-59 %C Boston, MA %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16871&DocID=5938 %O Physics Education Research Conference 2024 %O July 10-11 %O application/pdf
%0 Conference Proceedings %A Bralin, Amir %A Sirnoorkar, Amogh %A Zhang, Yiyuan %A Rebello, N. Sanjay %D July 10-11 2024 %T Mapping the literature landscape of artificial intelligence and machine learning in physics education research %B Physics Education Research Conference 2024 %C Boston, MA %P 52-59 %S PER Conference %8 July 10-11 %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16871&DocID=5938
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