Abstract

Digital competence is a core requirement for university students in the context of digital transformation and the increasing application of artificial intelligence (AI) in education. This study develops a framework for assessing university students’ digital competence when using AI in learning within the Flipped Learning 3.0 model. The framework is based on Circular No. 02/2025/TT-BGDĐT and the European Digital Competence Framework for Citizens (DigComp 2.2). It comprises six competence domains and 12 criteria reflected in students’ learning behaviors when they use AI in individual and collaborative learning environments. The standardized measurement instruments include a group-observation checklist, a self-assessment questionnaire, and a rubric for evaluating digital products. Survey results from university lecturers indicate that the proposed instruments demonstrate high levels of relevance, scientific rigor, and practical feasibility in higher education. The framework therefore provides a useful foundation for assessing and developing students’ digital competence and contributes to meeting the demand for high-quality human resources in the digital age.

Keywords: AI-assisted learning, digital competence, digital competence assessment, flipped learning, university students.