Transforming Educational Assessment in Higher Institutions: The Role of Artificial Intelligence -Driven Assessment

Abstract

The introduction of Artificial Intelligence (AI) into higher education has emerged as a agent of change, particularly in the area of assessment. Traditional assessment methods, often constrained by time, resources, and human bias, are being redefined through AI-driven tools and technologies. This paper explores the unfolding roles of AI in transforming educational assessment in higher institutions. AI-powered systems, such as adaptive testing platforms, automated grading solutions, and predictive analytics tools, offer enhanced accuracy, ease of use, and personalised modes. These systems enable real-time feedback, foster individualized learning pathways, and reduce the workload on lecturers, allowing them to focus on higher-order teaching tasks. The study reviewed the limitations of traditional assessment methods, challenges and the future of artificial intelligence driven assessment Furthermore, the ethical considerations associated with AI-driven assessment, including data privacy, algorithmic bias, and the need 
for transparency, are critically analyzed. By examining successful implementations and ongoing research, this study highlights the potential of AI to revolutionize assessment practices, making them more equitable, efficient, and aligned with 21st-century learning objectives. Ultimately, this paper underscores the importance of a balanced approach that integrates human oversight with AI 
capabilities to ensure assessments that are not only technologically advanced but also pedagogically sound.