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Author

Ya-Le Quan

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Open access Sep 2026

Transitive differential item functioning clustering: A graph-theoretic approach to identifying many-group partial measurement invariance.

When measuring latent constructs across multiple demographic groups, identifying partial measurement invariance is essential for valid and fair comparisons. Recent advances, such as the neural network approach implemented in InterDIFNet, provide probabilistic differential item functioning (DIF) estimates for all pairwi...

Ya-Le Quan, Chun Wang · 0 citations
Review Jul 2026

Designing Needs- and Attention-Aware AI Learning Tools for Engineering Education: Insights from Psychological Outcomes

Artificial Intelligence (AI) is transforming higher education, but its benefits can vary depending on where, how, and how often it supports learning. While prior research emphasizes cognitive and academic outcomes, this study examines how AI chatbots support the psychological needs and motivational states of engineerin...

K. Shao, D. Wilson, Yale Quan et al. · 0 citations

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