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Analyzing Student Communication Patterns in Science Classes Using Machine Learning and Natural Language Processing: A Case Study on High School Science Education

Crossref DOI link: https://doi.org/10.1007/s10956-025-10226-z

Published Online: 2025-05-02

Published Print: 2025-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Jeon, Cheol-Hong https://orcid.org/0009-0008-9066-6557
Shin, Jung-Yun

Ryu, Suna https://orcid.org/0000-0002-0987-9811
License Information

Text and Data Mining valid from 2025-05-02

Version of Record valid from 2025-05-02
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Article History

Accepted: 17 April 2025

First Online: 2 May 2025

Declarations

:

: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institution. This study was approved by the Institutional Review Board(IRB) of the Korea National University of Education(KNUE-202312-SB-0417–01), and all authors were required to sign a pledge to comply with the relevant bioethics regulations.

: The participants were provided with comprehensive information regarding the objectives of the study, the research procedures and methods, as well as the potential benefits and risks associated with their participation. The participants’ willingness to participate voluntarily was duly confirmed.

: In this research, data was collected from students.

: It was explained to the participants that the data collected would be used only in scientific research. Informed consent with all participants was assured.

: Informed consent was obtained from all individual participants included in the study.

: The authors declare no competing interests.

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