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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
Subjects Levels Resource Types
Education - Basic Research
- Research Design & Methodology
= Literature
= Statistics
General Physics
- Physics Education Research
- Graduate/Professional
- Reference Material
= Research study
PER-Central Type Intended Users Ratings
- PER Literature
- Researchers
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Format:
application/pdf
Mirror:
https://doi.org/10.1119/perc.2024…
Access Rights:
Free access
License:
This material is released under a Creative Commons Attribution 4.0 license. Further distribution of this work must maintain attribution to the published article's author(s), title, proceedings citation, and DOI.
Rights Holder:
American Association of Physics Teachers
DOI:
10.1119/perc.2024.pr.Bralin
NSF Number:
2300645
Keyword:
PERC 2024
Record Creator:
Metadata instance created September 6, 2024 by Lyle Barbato
Record Updated:
September 12, 2024 by Lyle Barbato
Last Update
when Cataloged:
September 12, 2024
ComPADRE is beta testing Citation Styles!

Record Link
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 December 3, 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 3 December 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. 3 Dec. 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 AJP/PRST-PER presented is based on the AIP Style with the addition of journal article titles and conference proceeding article titles.

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.

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