Author

Xiao-Mei Lu

h-index 0 View on Semantic Scholar

We have 4 of 7 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

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

It is suggested that visible privacy and boundary messages can influence how students judge AI chatbots in mental health-related situations and may help users treat chatbots as limited tools for information and support navigation and recognize when professional help is needed.

Ze-Yu Zhang, Xiao-Mei Lu, Yin-Lan Zhang et al. · Frontiers in Psychology · 1 citation

#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 · 2 citations

Review Open access Jul 2026

Development and validation of the AI literacy, risk perception, and academic confidence questionnaire for Chinese pre-service teachers

The findings support the AIRPAC-Q as a context-specific multidimensional tool for assessing competence, caution, and confidence in AI-supported teacher education.

Ze-Yu Zhang, Xiao-Mei Lu, Guo-Chao Xiao et al. · PLoS ONE · 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