Challenges in the Effective Implementation of Artificial Intelligence in Assessment Practices: Teachers’ Perspective

Abstract

The purpose of this research study was to examine the perceptions of teachers regarding challenges of using AI in assessment practices. This is exploratory (pilot) quantitative study and the sample was selected from four faculties by consensus sampling technique in virtual university of Pakistan; forty-one teachers from four faculties were selected. Five-point Likert scale was developed by researchers for data collection. The items were divided into nine challenges; workload, large class size, ethical, technical, pedagogical, inefficiency of AI, training, resources and institutional support. The instrument was validated from three experts who were teaching at university level. The reliability of the instrument was .844. The date was collected from teachers through google form. The findings stated that teachers were using AI based tools in assessment methods with plagiarism detection program and generative artificial intelligence tools as often used ones. The results showed the insignificant difference in challenges i.e., workload, large class size, ethical, inefficiency of AI, training and institutional support, faced by faculty members based on their academic qualification. This study suggests that regular training sessions, technical resources and digital infrastructure, proper guidelines from institute should be arranged for faculty members.