Research on evaluation model for virtual experiment teaching based on interval-valued fuzzy sets

Qi Cao and Wei Zhong

Evaluation and Program Planning, 2025, vol. 111, issue C

Abstract: The evaluation of virtual experiment teaching (VET) is a fuzzy assessment problem involving multiple indicators, multiple levels, and interval values, inherently characterized by uncertainties that make accurate evaluation challenging. Interval-valued fuzzy sets (IVFSs) can effectively reduce the loss of fuzzy information during data processing. Based on an analysis of the VET evaluation index system, this study proposes an interval-valued fuzzy comprehensive evaluation (IVFCE) model. It employs interval-valued fuzzy set theory to conduct a multi-level comprehensive evaluation of virtual experiment teaching while validating the results using traditional fuzzy comprehensive evaluation method. The derived results prove more convincing, facilitate stakeholders' understanding of evaluation criteria and improvement directions, better reflect the diversity and complexity inherent in VET evaluations, and ultimately promote continuous quality enhancement in virtual experiment pedagogy.

Keywords: Virtual experiment teaching; Teaching evaluation; Evaluation model; Interval-valued fuzzy comprehensive evaluation (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:epplan:v:111:y:2025:i:c:s0149718925000692

DOI: 10.1016/j.evalprogplan.2025.102602

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