Improving Students’ Argumentation Skills Using Dynamic Machine-Learning–Based Modeling

Wambsganss, Thiemo; Janson, Andreas; Söllner, Matthias; Koedinger, Ken; Leimeister, Jan Marco

doi:10.24451/arbor.22079

Improving Students’ Argumentation Skills Using Dynamic Machine-Learning–Based Modeling

URI

https://arbor.bfh.ch/handle/arbor/37437

Version

Published

Date Issued

2025

Author(s)

Wambsganss, Thiemo

Janson, Andreas

Söllner, Matthias

Koedinger, Ken

Leimeister, Jan Marco

Type

Article

Language

English

Subjects

L Education (General)

T Technology (General)

DOI

10.24451/arbor.22079

https://doi.org/10.24451/arbor.22079

Publisher DOI

10.1287/isre.2021.0615

Journal or Serie

Information Systems Research

ISSN

1047-7047

Publisher URL

https://pubsonline.informs.org/

Organization

Institut Digital Technology Management

Wirtschaft

Volume

36

Issue

1

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Citation apa

Wambsganss, T., Janson, A., Söllner, M., Koedinger, K., & Leimeister, J. M. (2025). Improving Students’ Argumentation Skills Using Dynamic Machine-Learning–Based Modeling. In Information Systems Research (Vol. 36, Issue 1). Institute for Operations Research and the Management Sciences (INFORMS). https://doi.org/10.24451/arbor.22079

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wambsganss-et-al-2024-improving-students-argumentation-skills-using-dynamic-machine-learning-based-modeling.pdf

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