Improving students' argumentation skills using dynamic machine-learning-based modeling
Thiemo Wambsganss, Andreas Janson, Matthias Söllner, Ken Koedinger, Jan Marco Leimeister
| Year of publication: |
2025
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|---|---|
| Authors: | Wambsganss, Thiemo ; Janson, Andreas ; Söllner, Matthias ; Koedinger, Ken ; Leimeister, Jan Marco |
| Published in: |
Information systems research : ISR. - Linthicum, Md. : INFORMS, ISSN 1526-5536, ZDB-ID 2027203-0. - Vol. 36.2025, 1, p. 474-507
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| Subject: | adaptive argumentation learning | adaptive learning | argumentation skills | artificial intelligence for education | dynamic argumentation feedback | Künstliche Intelligenz | Artificial intelligence | Lernprozess | Learning process | Qualifikation | Occupational qualification | Theorie | Theory | Studierende | Students | Lernen | Learning |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/isre.2021.0615 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015435881