Automated Scoring of Teachers’ Pedagogical Content Knowledge – A Comparison Between Human and Machine Scoring
Article Status
Published
Authors/contributors
- Wahlen, Andreas (Author)
- Kuhn, Christiane (Author)
- Zlatkin-Troitschanskaia, Olga (Author)
- Gold, Christian (Author)
- Zesch, Torsten (Author)
- Horbach, Andrea (Author)
Title
Automated Scoring of Teachers’ Pedagogical Content Knowledge – A Comparison Between Human and Machine Scoring
Publication
Frontiers in Education
Volume
5
Pages
149
Date
2020-8-25
Journal Abbr
Front. Educ.
ISSN
2504-284X
Accessed
22/02/2023, 19:04
Library Catalogue
DOI.org (Crossref)
Extra
Citation Key: wahlen2020
<标题>: 教师教学内容知识的自动评分——人工评分与机器评分的比较
<AI Smry>: The results of the single-sector variance analysis show a significant influence of the answers for each homogeneous subgroup on the automated scoring results, suggesting a convergent validity of the scoring results.
Citation
Wahlen, A., Kuhn, C., Zlatkin-Troitschanskaia, O., Gold, C., Zesch, T., & Horbach, A. (2020). Automated Scoring of Teachers’ Pedagogical Content Knowledge – A Comparison Between Human and Machine Scoring. Frontiers in Education, 5, 149. https://doi.org/10.3389/feduc.2020.00149
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