Learning to diagnose students' behavioral, developmental, and learning disorders in a simulation-based learning environment for pre-service teachers

  • Reasoning about students who might have behavioral, developmental, or learning disorders is a relevant aspect of teachers’ everyday practice (Reinke et al., Sch Psychol Q 26(1):1, 2011). Therefore, this content area should be part of teacher education. Accordingly, we developed a simulation-based learning environment in which pre-service teachers gather information about six individual students. Learners examine reports about students’ behavior, e.g., in the classroom or at home, and analyze the students’ performance and records of their work. The pre-service teachers’ task is to integrate the given information and draw a diagnostic conclusion for each student. Several design aspects were investigated using the simulation. The most challenging design aspect was to automatically generate adaptive feedback on epistemic diagnostic activities and diagnostic outcomes (Schulz et al., e-teaching. org Themenspecial, Was macht Lernen mit digitalen Medien erfolgreich, 2019). The studies weReasoning about students who might have behavioral, developmental, or learning disorders is a relevant aspect of teachers’ everyday practice (Reinke et al., Sch Psychol Q 26(1):1, 2011). Therefore, this content area should be part of teacher education. Accordingly, we developed a simulation-based learning environment in which pre-service teachers gather information about six individual students. Learners examine reports about students’ behavior, e.g., in the classroom or at home, and analyze the students’ performance and records of their work. The pre-service teachers’ task is to integrate the given information and draw a diagnostic conclusion for each student. Several design aspects were investigated using the simulation. The most challenging design aspect was to automatically generate adaptive feedback on epistemic diagnostic activities and diagnostic outcomes (Schulz et al., e-teaching. org Themenspecial, Was macht Lernen mit digitalen Medien erfolgreich, 2019). The studies we conduct are replicated in a parallel project in medical education.show moreshow less

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Metadaten
Author:Elisabeth BauerORCiDGND, Michael SailerORCiDGND, Jan Kiesewetter, Claudia Schulz, Iryna Gurevych, Martin R. Fischer, Frank Fischer
URN:urn:nbn:de:bvb:384-opus4-1116587
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/111658
ISBN:9783030891466OPAC
ISBN:9783030891473OPAC
Parent Title (English):Learning to diagnose with simulations: examples from teacher education and medical education
Publisher:Springer
Place of publication:Cham
Editor:Frank Fischer, Ansgar Opitz
Type:Part of a Book
Language:English
Year of first Publication:2022
Publishing Institution:Universität Augsburg
Release Date:2024/02/28
First Page:97
Last Page:107
DOI:https://doi.org/10.1007/978-3-030-89147-3_8
Institutes:Philosophisch-Sozialwissenschaftliche Fakultät
Philosophisch-Sozialwissenschaftliche Fakultät / Empirische Bildungsforschung
Philosophisch-Sozialwissenschaftliche Fakultät / Empirische Bildungsforschung / Lehrstuhl für Learning Analytics and Educational Data Mining
Dewey Decimal Classification:1 Philosophie und Psychologie / 15 Psychologie / 150 Psychologie
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)