Rethinking Teaching and Assessment in AI Crowded Higher Education Environment. A Systematic Review and Meta Analysis

Abstract

With the rapid advancement of artificial intelligence (AI) technologies, higher education institutions are increasingly exploring innovative ways to rethink teaching and assessment practices. This research paper examines the implications of AI in higher education environments, particularly in the context of teaching and assessment. By analyzing current literature, methodologies, and findings, this paper aims to provide insights into how AI can transform traditional teaching methods and assessment strategies, creating an AI-crowded environment that fosters student learning and academic success.