将基于人工智能的方法融入物理教育研究的定性研究:以计算基础理论为例

IF 2.6 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Paul Tschisgale, P. Wulff, Marcus Kubsch
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引用次数: 3

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。

Integrating artificial intelligence-based methods into qualitative research in physics education research: A case for computational grounded theory

Integrating artificial intelligence-based methods into qualitative research in physics education research: A case for computational grounded theory
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来源期刊
Physical Review Physics Education Research
Physical Review Physics Education Research Social Sciences-Education
CiteScore
5.70
自引率
41.90%
发文量
84
审稿时长
32 weeks
期刊介绍: PRPER covers all educational levels, from elementary through graduate education. All topics in experimental and theoretical physics education research are accepted, including, but not limited to: Educational policy Instructional strategies, and materials development Research methodology Epistemology, attitudes, and beliefs Learning environment Scientific reasoning and problem solving Diversity and inclusion Learning theory Student participation Faculty and teacher professional development
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