Classroom Simulations for Social–Emotional Learning and Inclusive Teacher Education: A Four-Layer Conceptual Framework in the Age of AI

Teachers work in socially and emotionally complex environments that require rapid professional decision making under conditions of uncertainty. Classroom simulations provide opportunities for preservice and in-service teachers to practice, receive feedback, and reflect without placing students or teachers at unnecessary risk. Despite their growing use, the field lacks a contemporary and inclusive definition of classroom simulation. Existing frameworks often categorize simulations by technology or immersion level, overlooking important differences in agency, responsiveness, adaptation, and instructional design. These limitations have become more significant with the emergence of generative artificial intelligence (AI) and AI agents. This conceptual paper defines classroom simulations as deliberately designed approximations of classroom practice embedded within a structured learning process that includes preparation, enactment, and reflection. We propose a four-layer framework encompassing the professional practice represented, the simulated situation, the distribution of agency and adaptation, and the orchestration of learning. The framework is used to examine how simulations can support social-emotional and inclusive teaching competencies and how AI may influence scenario generation, student behaviour enactment, personalization, and feedback. Effective implementation requires theoretically grounded representations of learners and classroom interactions, alignment with learning goals, meaningful human oversight, and protections for agency, inclusion, privacy, and emotional safety.

Authors

Institutions

Publication Details

Journal
Education Sciences
Published
2026-10-28
DOI
https://doi.org/10.3390/educsci16111813
Primary Topic
Innovative Teaching Methodologies in Social Sciences
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Classroom Simulations for Social–Emotional Learning and Inclusive Teacher Education: A Four-Layer Conceptual Framework in the Age of AI

Agnieszka Ewa Lewicka-Zelent, Jody Siker, Anamaria Marc, Lisa Dieker et al.
5 links
Education Sciences
Innovative Teaching Methodologies in Social Sciences
article

Classroom Simulations for Social–Emotional Learning and Inclusive Teacher Education: A Four-Layer Conceptual Framework in the Age of AI

Agnieszka Ewa Lewicka-Zelent, Jody Siker, Anamaria Marc, Lisa Dieker, Sara L. Dexter, Juyan Ye, Benjamin H. Dotger, Ronen Kasperski, Susan Ledger, Isabel Torrijos Martí, Orna Levin, Dorota Chimicz, Merav Esther Hemi, Heidi Flavian, Hanneke Theelen, M. Laura Angelini, Olga Chernikova, Raluca Pop, Marlene Bradbury-van Heel
article en

Abstract

Teachers work in socially and emotionally complex environments that require rapid professional decision making under conditions of uncertainty. Classroom simulations provide opportunities for preservice and in-service teachers to practice, receive feedback, and reflect without placing students or teachers at unnecessary risk. Despite their growing use, the field lacks a contemporary and inclusive definition of classroom simulation. Existing frameworks often categorize simulations by technology or immersion level, overlooking important differences in agency, responsiveness, adaptation, and instructional design. These limitations have become more significant with the emergence of generative artificial intelligence (AI) and AI agents. This conceptual paper defines classroom simulations as deliberately designed approximations of classroom practice embedded within a structured learning process that includes preparation, enactment, and reflection. We propose a four-layer framework encompassing the professional practice represented, the simulated situation, the distribution of agency and adaptation, and the orchestration of learning. The framework is used to examine how simulations can support social-emotional and inclusive teaching competencies and how AI may influence scenario generation, student behaviour enactment, personalization, and feedback. Effective implementation requires theoretically grounded representations of learners and classroom interactions, alignment with learning goals, meaningful human oversight, and protections for agency, inclusion, privacy, and emotional safety.

Education SciencesVol. 16(11)
University of Kansas (US), Maria Curie-Skłodowska University (PL), Zuyd University of Applied Sciences (NL), Beijing Normal University (CN), Northeastern Illinois University (US), Valencia Catholic University Saint Vincent Martyr (ES), Babeș-Bolyai University (RO), Gordon Academic College of Education (IL), University of Virginia (US), Syracuse University (US), Achva Academic College (IL), University of Newcastle Australia (AU), Ludwig-Maximilians-Universität München (DE)
Quality education
Openalex Percentile: Top 4%
Innovative Teaching Methodologies in Social Sciences
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon