AI‐Based Adaptive Feedback in Simulations for Teacher Education: An Experimental Replication in the Field

ABSTRACT Background Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive f...

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Veröffentlicht in:	Journal of computer assisted learning 2025-02, Vol.41 (1), p.n/a
Hauptverfasser:	Bauer, Elisabeth, Sailer, Michael, Niklas, Frank, Greiff, Samuel, Sarbu‐Rothsching, Sven, Zottmann, Jan M., Kiesewetter, Jan, Stadler, Matthias, Fischer, Martin R., Seidel, Tina, Urhahne, Detlef, Sailer, Maximilian, Fischer, Frank
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy adaptivity Artificial intelligence Artificial neural networks Automation Colleges & universities Control Groups Control systems Effectiveness Feedback Formative Evaluation Laboratories Language Processing learning analytics Natural language processing Neural networks personalisation Preservice teachers Simulation simulation‐based learning Teachers
Online-Zugang:	Volltext
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