Open Access
ARTICLE
Digital Pedagogy Transformation: Evaluating AI-Driven Learning Tools and Their Impact on Student Performance in Higher Education
Issue Vol. 1 No. 01 (2025): Volume 01 , Issue 01 Oct 2025 --- Section Articles --- Published Date: 2025-10-01
Abstract
The rapid integration of artificial intelligence (AI) into higher education has revolutionized digital pedagogy, offering advanced adaptive learning systems, intelligent tutoring tools, automated assessments, and personalized feedback mechanisms. This research evaluates the effectiveness of AI-driven learning tools and their influence on student engagement, academic performance, and learning outcomes across diverse higher education settings. Using a mixed-method approach, data from classroom experiments, AI-based platform analytics, and faculty–student interviews were analyzed. Findings indicate that AI-enhanced pedagogy significantly improves learning efficiency, conceptual understanding, and individualized student support, particularly in large and diverse classrooms. However, challenges remain, including technological disparities, algorithmic bias, data privacy concerns, and faculty readiness. The study concludes by recommending an integrated digital pedagogy adoption model that emphasizes capacity building, ethical AI usage, and continuous performance monitoring to ensure sustainable educational transformation.
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