In video-based teacher knowledge assessments, GPT-4 scoring was more lenient than both human raters and a supervised ML model, while rater-related factors dominated construct-irrelevant variance.
Educational Measurement: Issues and Practice23(1), 17–27 (2004)
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Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge
In video-based teacher knowledge assessments, GPT-4 scoring was more lenient than both human raters and a supervised ML model, while rater-related factors dominated construct-irrelevant variance.