Author

Yin-Lan Zhang

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Open access Sep 2026

Privacy assurances and professional-boundary warnings in generative AI mental health chatbots: a randomized vignette experiment on calibrated trust, overreliance risk, and professional help-seeking intentions

Introduction Generative artificial intelligence (AI) chatbots are increasingly used by students to look up mental health information, seek reassurance, explore coping strategies, and identify possible sources of support. In such sensitive contexts, however, their use raises concerns about privacy, professional boundari...

Ze-Yu Zhang, Xiao-Mei Lu, Yin-Lan Zhang et al. · Frontiers in Psychology · 0 citations

#artificial intelligence Review Open access Sep 2026

Development and validation of the generative AI assessment literacy scale for higher education students: psychometric evidence and associations with feedback engagement and academic integrity

The GAA-LS provides a psychometrically supported instrument for assessing students’ assessment-specific capacity to use GenAI responsibly within assessment contexts and contributes to applied measurement, feedback design, and academic integrity policy in AI-supported higher education.

Jun-Tao Nie, Ze-Yu Zhang, Xiao-Mei Lu et al. · Frontiers in Education · 0 citations

Review Open access Aug 2026

Problematic generative AI use and mental health risks among Chinese university students: latent profiles, network structure, and health literacy as a modifiable resource

Findings may help universities identify students who report difficulty controlling AI use, academic worry, delayed bedtime, academic avoidance, or trouble setting limits on AI use and point to health literacy, self-regulation, and time management as candidate resources for future longitudinal and intervention studies.

Ze-Yu Zhang, Yin-Lan Zhang, Xiao-Mei Lu et al. · Frontiers in Public Health · 0 citations