<p>Discriminant validity table.</p>

Yixuan Zeng's discriminant validity table, published on figshare in April 2026, supports an empirical study on Generative AI in higher education. The dataset is derived from 207 valid questionnaires from Chinese university students, analyzed via structural equation modeling. It examines variables like role adaptation, self-efficacy, and institutional support in relation to student learning behaviors and outcomes.

Use Cases

• Assessing discriminant validity for latent constructs like exploration and exploitation behaviors mentioned in the study
• Replicating or verifying the structural equation model fit reported in the research
• Analyzing correlations between internal drivers (role adaptation, self-efficacy) and external enablers (institutional support, task-technology fit)
• Secondary analysis of survey-based relationships between AI-assisted learning behaviors and perceived learning outcomes

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting reuse with attribution
• Underpins a defined empirical study with 207 valid questionnaire responses
• Model is reported to demonstrate good fit and significant path relationships

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The study's authors note the results reflect correlational evidence and do not establish a causal mechanism

Provenance

Source

Yixuan Zeng via figshare

Collection Method

Survey data collection (207 questionnaires) and structural equation modeling analysis

Time Range

null

Freshness

Last updated 2026-04-28 17:42:03; freshness should be verified

Geography

Chinese universities