Predicting problem-solving success in an office simulation applying N-grams and a random forest to behavioral process data

DOI:	https://doi.org/10.1016/j.compedu.2024.105093
URL:	https://www.sciencedirect.com/science/article/pii/...
Document Type:	Article
Year of publication:	2024
The title of a journal, publication series:	Computers & Education
Volume:	218
Issue number:	Article 105093
Page range:	1-19
Place of publication:	Amsterdam [u.a.]
Publishing house:	Elsevier
ISSN:	0360-1315 , 1873-782X
Publication language:	English
Institution:	Business School > Wirtschaftspädagogik, Berufliches Lehren und Lernen (Seifried 2012-)
Subject:	330 Economics 370 Education
Keywords (English):	simulations , 21st century skills , data science applications in education , distance education and online learning , teaching/learning strategies

Dieser Eintrag ist Teil der Universitätsbibliographie.

BASE: Ludwig, Sabrina ; Rausch, Andreas ; Deutscher, Viola ; Seifried, Jürgen

Google Scholar: Ludwig, Sabrina ; Rausch, Andreas ; Deutscher, Viola ; Seifried, Jürgen

ORCID: Ludwig, Sabrina

; Rausch, Andreas

; Deutscher, Viola

; Seifried, Jürgen

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