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Survey on academic self-efficacy, academic stress, critical thinking, performance expectations, and students' AI
Quynh Pham Viet1, Duy Van Nguyen2, Nguyen Thi Xiem1
1Faculty of Education, Hanoi Metropolitan University, Hanoi, Viet Nam.
Data in Brief
|June 22, 2026
Summary
Students increasingly use AI in education, raising concerns about critical thinking and AI dependency. This study in Vietnam found AI use impacts academic stress, self-efficacy, and performance expectations among university students.
Area of Science:
- Educational Technology
- Artificial Intelligence in Education
- Higher Education Studies
Background:
- Students are increasingly integrating Artificial Intelligence (AI) tools into their academic work.
- This trend raises concerns regarding potential negative impacts on critical thinking skills and increased reliance on AI.
- Understanding these effects is crucial for educational policy and practice.
Purpose of the Study:
- To investigate the relationship between AI dependency and key academic factors among university students.
- To examine the influence of AI use on academic self-efficacy, academic stress, critical thinking, and performance expectations.
- To provide empirical data for policymakers and researchers on the implications of AI in higher education.
Main Methods:
- A quantitative study involving 1580 university students in Vietnam.
- Confirmatory Factor Analysis (CFA) was employed using SmartPLS software.
- Reliability and discriminant validity of measurement constructs were rigorously assessed.
Main Results:
- All measurement constructs demonstrated adequate reliability and discriminant validity.
- The analysis confirmed the suitability of the data for further investigation into AI's academic impact.
- This validates the study's framework for assessing AI dependency and its correlates.
Conclusions:
- The study provides a validated framework for understanding AI's role in higher education.
- Findings support the need for further research into AI's nuanced effects on student learning and well-being.
- Data can inform policies aimed at balancing AI integration with the cultivation of essential academic skills.
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