Psychological factors related to simulation and digital transformation in higher education in healthcare

Simulation-Based Learning (SBL) has emerged as a transformative pedagogical approach in healthcare education, addressing the challenges of limited clinical placement and the need for experiential learning. This theoretical paper explores the psychological and pedagogical dimensions of SBL, demonstrating its alignment with learning theories and the SOLO taxonomy. While SBL provides a safe and realistic environment for engaging with ethically complex scenarios, it also places significant cognitive and emotional demands on lecturers, an area typically underexplored in the literature. This paper presents a conceptual analysis drawing on existing literature and standards, highlighting the often-overlooked psychological impact of SBL on lecturers, including emotional labour, role transformation, and the need for moral imagination. Drawing on McNaughton’s discourses of emotion and INACSL simulation standards, the paper underscores the dual responsibility of lecturers to manage both students’ and their own emotions in high stakes learning environments. It also addresses the ethical and technological challenges of integrating AI into simulation in resource constrained environments. This conceptual article calls for greater institutional support, consideration of the simulation context and applicability to developing worlds and research into the educator experience of SBL.

Authors

Institutions

Publication Details

Journal
Discover Education
Published
2026-02-17
DOI
https://doi.org/10.1007/s44217-026-01266-7
Primary Topic
Simulation-Based Education in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Psychological factors related to simulation and digital transformation in higher education in healthcare

Anwynne Kern, Selvarani Moodley
Discover Education
Simulation-Based Education in Healthcare
article

Psychological factors related to simulation and digital transformation in higher education in healthcare

Anwynne Kern, Selvarani Moodley
article en

Abstract

Simulation-Based Learning (SBL) has emerged as a transformative pedagogical approach in healthcare education, addressing the challenges of limited clinical placement and the need for experiential learning. This theoretical paper explores the psychological and pedagogical dimensions of SBL, demonstrating its alignment with learning theories and the SOLO taxonomy. While SBL provides a safe and realistic environment for engaging with ethically complex scenarios, it also places significant cognitive and emotional demands on lecturers, an area typically underexplored in the literature. This paper presents a conceptual analysis drawing on existing literature and standards, highlighting the often-overlooked psychological impact of SBL on lecturers, including emotional labour, role transformation, and the need for moral imagination. Drawing on McNaughton’s discourses of emotion and INACSL simulation standards, the paper underscores the dual responsibility of lecturers to manage both students’ and their own emotions in high stakes learning environments. It also addresses the ethical and technological challenges of integrating AI into simulation in resource constrained environments. This conceptual article calls for greater institutional support, consideration of the simulation context and applicability to developing worlds and research into the educator experience of SBL.

Discover EducationVol. 5(1)
University of the Witwatersrand (ZA)
Decent work and economic growth
Openalex Percentile: Top 50%
Simulation-Based Education in Healthcare
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.