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Personalizing simulation-based learning in higher education

delete2025-06-30
delete0
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OA
AI
E
Elisabeth Bauer
N
Nicole Heitzmann
M
Maria Bannert
O
Olga Chernikova
M
Martin R. Fischer
A
Anne C. Frenzel
M
Martin Gartmeier
S
Sarah Hofer
H
Holzberger, Doris
E
Enkelejda Kasneci
J
Jenna Koenen
C
Christian Kosel
S
Stefan Küchemann
J
Jochen Kühn
T
Tilman Michaeli
B
Birgit J. Neuhaus
F
Frank Niklas
A
Andreas Obersteiner
J
Jürgen Pfeffer
M
Michael Sailer
R
Ralf Schmidmaier
B
Bernhard Schmidt‐Hertha
M
Matthias Stadler
S
Stefan Ufer
A
Andreas Vorholzer
T
Tina Seidel
F
Frank Fischer
DOI：10.1016/j.lindif.2025.102746delete
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Abstract

Abstract

En 中文
• We introduce the SHARP framework for advancing research on personalized simulations, • Summarize learner variables relevant to personalization, • Discuss adaptivity and adaptability of scaffolding and feedback in simulations, • Highlight the potential of AI for personalized learning in higher education, • Advocate for interdisciplinary research collaborations on personalized simulations.
Keywords:
Simulations
Personalization
Scaffolding
Feedback
Artificial intelligence
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Journal

Learning and Individual Differences cover
Learning and Individual Differences
IF:
9
Papers:
2.6K
Citations:
9.0K

Organization

U
University of Augsburg
Scholars:
3.6K
Papers: 3.0K
Citations: 5.2K
L
lmu munich
Scholars:
1.0K
Papers: 309
Citations: 3
L
ludwig maximilians university in munich
Scholars:
18
Papers: 5
Citations: 0
T
Technical University of Munich
Scholars:
5.2W
Papers: 3.9W
Citations: 6.2W
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