THE IMPACT OF GENERATIVE ARTIFICIAL INTELLIGENCE AND COURSE LEARNING OUTCOME – BASED ASSESSMENT ON STUDENT LEARNING OUTCOMES: A STUDY AT THE FACULTY OF EDUCATION, HANOI METROPOLITAN UNIVERSITY

The development of Generative Artificial Intelligence (GenAI) is transforming teaching and assessment practices in higher education. This study aims to examine the effects of GenAI and course learning outcome based assessment on student learning outcomes at the Faculty of Education, Hanoi Metropolitan University. A quantitative approach was used with survey data from 1,117 full-time students. The data were analyzed using Partial Least Squares Structural Equation Modeling, along with tests of reliability, convergent validity, and discriminant validity. The findings indicate that both GenAI and course learning outcome-based assessment have positive, statistically significant effects on student learning outcomes. Among the two factors, course learning outcome-based assessment exerts a stronger effect than GenAI. These results suggest that GenAI can be effective only when embedded in an appropriate pedagogical environment, where the assessment system plays a central role in shaping students’ learning orientations and improving the quality of learning outcomes.