What does this research mean for the field?

Item Response Tree (IRTree) modeling provides a highly accurate and reliable analysis strategy for evaluating the psychometric quality of virtual reality classroom simulations to measure classroom management competence in teacher education. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To examine an Item Response Tree modeling strategy for evaluating the psychometric quality and assessment viability of virtual reality classroom simulations in teacher education.

September 5, 2026Education and Information TechnologiesOpen Access

Implementation of VR learning activities for assessment purposes in teacher education: an evaluation approach using converging item response tree models

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Authors

JMJulia Mendzheritskaya ДФДенис Федерякин SBSebastian Breitenbach

Discussion

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Overview

Evaluation study demonstrates high measurement accuracy of virtual reality simulations in student teachers, indicating their viability for assessing classroom management skills.

Key Points

To examine an Item Response Tree modeling strategy for evaluating the psychometric quality and assessment viability of virtual reality classroom simulations in teacher education.
Assessed N=200 student teachers participating in the virtual reality classroom simulation CLASIVIR 1.0.
Applied converging Item Response Tree (IRTree) models to analyze the structural properties, measurement precision, and construct replication of the simulation.
IRTree models exhibited good model fit and stable parameter estimates, confirming a high level of measurement accuracy.
CLASIVIR 1.0 reliably captured the expected structural properties of psychological constructs, demonstrating its utility for measuring classroom management competence.

Cite This Study

Mendzheritskaya et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd4216b95aff0620eb9b1 https://doi.org/10.1007/s10639-026-14121-x

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September 5, 2026Education and Information TechnologiesOpen Access

Implementation of VR learning activities for assessment purposes in teacher education: an evaluation approach using converging item response tree models

View Full Paper

Ask AI

Bookmark

Authors

JMJulia Mendzheritskaya ДФДенис Федерякин SBSebastian Breitenbach

Discussion

Member takes

Overview

Evaluation study demonstrates high measurement accuracy of virtual reality simulations in student teachers, indicating their viability for assessing classroom management skills.

Key Points

To examine an Item Response Tree modeling strategy for evaluating the psychometric quality and assessment viability of virtual reality classroom simulations in teacher education.
Assessed N=200 student teachers participating in the virtual reality classroom simulation CLASIVIR 1.0.
Applied converging Item Response Tree (IRTree) models to analyze the structural properties, measurement precision, and construct replication of the simulation.
IRTree models exhibited good model fit and stable parameter estimates, confirming a high level of measurement accuracy.
CLASIVIR 1.0 reliably captured the expected structural properties of psychological constructs, demonstrating its utility for measuring classroom management competence.

Cite This Study

Mendzheritskaya et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd4216b95aff0620eb9b1 https://doi.org/10.1007/s10639-026-14121-x

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