IMPACT OF AI TOOLS ON QUALITY ASSESSMENT TOWARDS FOSTERING UNIVERSITY STUDENTS' LEARNING

Abstract

The purpose of this study was to examine how Artificial Intelligence (AI) technologies affect quality assessment in higher education and their impact on university students' learning outcomes. The goal of the study was to offer information that were useful to academic institutions, instructors, legislators, and educational technology producers, among other stakeholders in higher education. The current study was conducted in The Superior University Faisalabad Campus. The population of the study was consisting of 600 postgraduate students and convenient sampling technique was used to select a sample of 200 postgraduate students. Data was collected through likert questionnaire from the respondents. Quantitative data was analyzed by using SPSS through descriptive statistics, correlation analysis and regression models. The findings showed that students generally perceive AI tools as beneficial for enhancing learning. It was suggested that AI training should be given to the students in classrooms. There was a strong positive correlation between the use of AI tools and the assessment quality of students in their learning, and further, the higher the students used AI tools and better evaluation practices, the better their learning was. The use of AI tools and quality assessment were significant predictors of learning in students and quality assessment was a stronger predictor of learning.