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Assessing multidimensional student engagement in studio-based design learning: a traceable multimodal framework for teacher-led inquiry.

Created on 01 Sep 2026

Authors

Yunyi Meng, Zhentao Wang, Bo Ruan

Published in

Frontiers in psychology. Volume 17. Pages 1903940. Epub Aug 17, 2026.

Abstract

Student engagement is a central construct in educational psychology, but it is difficult to assess in studio-based design learning because participation, emotion, cognitive effort, self-regulation, and design-process activity are distributed across classroom interaction, learning records, written reflection, and design artifacts.
This study presents PD-EviMEA as a proof-of-concept and modular feasibility framework that organizes such traces into teacher-reviewable evidence for engagement assessment. It represents visual, behavioral, textual, and design-process information as learning evidence, estimates modality reliability and availability, and links each diagnostic statement to explicit evidence units rather than treating model outputs as self-sufficient judgments.
Across several public datasets, the results provide preliminary modular evidence that multimodal traces can support engagement recognition, that learning logs and design-process sequences can function as contextualized indicators of behavioral and cognitive engagement, and that evidence-constrained feedback can preserve alignment with human scoring criteria while adding traceability.
Because the datasets were not collected from a single product design studio and several analyses rely on proxy tasks, the findings should be interpreted as public-dataset-based feasibility evidence rather than validation of a deployable classroom assessment system. The study clarifies how multidimensional engagement may be operationalized in studio-based design contexts while preserving teacher agency, construct caution, and transparency in technology-supported assessment.

PMID:
42676357
Bibliographic data and abstract were imported from PubMed on 01 Sep 2026.

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