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Mapping the literature landscape of artificial intelligence and machine learning in physics education research
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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Record Link
<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>
AIP Format
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).
AJP/PRST-PER
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>.
APA Format
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 October 12, 2024, from https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16871&DocID=5938
Chicago Format
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 12 October 2024).
MLA Format
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. 12 Oct. 2024 <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=16871&DocID=5938>.
BibTeX Export Format
@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}
}
Refer Export Format
%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
EndNote Export Format
%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 Disclaimer: ComPADRE offers citation styles as a guide only. We cannot offer interpretations about citations as this is an automated procedure. Please refer to the style manuals in the Citation Source Information area for clarifications.
Citation Source Information
The AIP Style presented is based on information from the AIP Style Manual. The APA Style presented is based on information from APA Style.org: Electronic References. The Chicago Style presented is based on information from Examples of Chicago-Style Documentation. The MLA Style presented is based on information from the MLA FAQ. Mapping the literature landscape of artificial intelligence and machine learning in physics education research:Know of another related resource? Login to relate this resource to it. |
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