Abstract
The advent of Generative AI technologies has heralded a transformative era across various sectors, with higher education experiencing a profound upheaval particularly within the domain of assessment. This paper explores the disruptive potential of Generative AI in reshaping traditional evaluation paradigms, challenging long-standing practices of essays, examination, grading, and feedback. By critically examining emerging AI-enabled assessment tools and methodologies, the study highlights opportunities for more cognitive-intensive, effective, and educative evaluation processes. However, it also addresses pressing concerns surrounding academic integrity, equity, and the ethical implications of AI-generated content. Through a comprehensive analysis of current trends, case studies, and future outlooks, this research aims to provide educators, administrators, and policymakers with a nuanced understanding of how Generative AI is redefining assessment in higher education calling for innovative frameworks that harness its potential while safeguarding academic standards and integrity. Ultimately, this paper advocates for a paradigm shift that embraces AI as a catalyst for more meaningful and equitable assessment practices in the digital age.
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Generative AI, Higher Education, Assessment Paradigm, Educational Innovation, Academic Integrity
