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  4. How Instructional Sequence and Personalized Support Impact Diagnostic Strategy Learning
 
conference paper

How Instructional Sequence and Personalized Support Impact Diagnostic Strategy Learning

Güres, Fatma-Betül  
•
Nazaretsky, Tanya  
•
Radmehr, Bahar  
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Cristea, Alexandra I.
•
Walker, Erin
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2025
Artificial Intelligence in Education - 26th International Conference, AIED 2025. Proceedings, Parts VI
26th International Conference on Artificial Intelligence in Education

Supporting students in developing effective diagnostic reasoning is a key challenge in various educational domains. Novices often struggle with cognitive biases such as premature closure and over-reliance on heuristics. Scenario-based learning (SBL) can address these challenges by offering realistic case experiences and iterative practice, but the optimal sequencing of instruction and problem-solving activities remains unclear. This study examines how personalized support can be incorporated into different instructional sequences and whether providing explicit diagnostic strategy instruction before (I-PS) or after problem-solving (PS-I) improves learning and its transfer. We employ a between-groups design in an online SBL environment called PharmaSim, which simulates real-world client interactions for pharmacy technician apprentices. Results indicate that while both instruction types are beneficial, PS-I leads to significantly higher performance in transfer tasks.

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Type
conference paper
DOI
10.1007/978-3-031-98465-5_53
Scopus ID

2-s2.0-105012024313

Author(s)
Güres, Fatma-Betül  

École Polytechnique Fédérale de Lausanne

Nazaretsky, Tanya  

École Polytechnique Fédérale de Lausanne

Radmehr, Bahar  

École Polytechnique Fédérale de Lausanne

Rau, Martina

ETH Zürich

Käser, Tanja  

École Polytechnique Fédérale de Lausanne

Editors
Cristea, Alexandra I.
•
Walker, Erin
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Lu, Yu
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Santos, Olga C.
•
Isotani, Seiji
Date Issued

2025

Publisher

Springer

Published in
Artificial Intelligence in Education - 26th International Conference, AIED 2025. Proceedings, Parts VI
DOI of the book
https://doi.org/10.1007/978-3-031-98465-5
ISBN of the book

978-3-031-98464-8

978-3-031-98465-5

Series title/Series vol.

Lecture Notes in Computer Science LNAI; 15882

ISSN (of the series)

1611-3349

0302-9743

Start page

422

End page

429

Subjects

Diagnostic Strategies

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I-PS

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Personalized Instruction

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PS-I

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Scenario-Based Learning

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Transfer

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ML4ED  
Event nameEvent acronymEvent placeEvent date
26th International Conference on Artificial Intelligence in Education

AIED 2025

Palermo, Italy

2025-07-22 - 2025-07-26

FunderFunding(s)Grant NumberGrant URL

Swiss State Secretariat for Education, Research and Innovation SERI

Jacobs Foundation

Available on Infoscience
August 21, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/253299
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