EVALUATING ARTIFICIAL INTELLIGENCE AND IMPACT ON LEARNING OUTCOMES

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in education, promising to revolutionize learning experiences and outcomes. This paper aims to critically evaluate the impact of AI technologies on learning outcomes across various educational contexts. Drawing on a comprehensive review of existing literature, this study examines the effectiveness of AI-driven interventions in enhancing student engagement, personalization of learning, and academic performance. Additionally, it investigates the implications of AI integration for educators, curriculum design, and the future of pedagogy (Siemens, 2013). The findings reveal both opportunities and challenges associated with AI implementation in education, highlighting the need for thoughtful evaluation and ethical considerations. Moreover, the paper discusses methodological approaches for assessing the efficacy of AI tools in educational settings, including experimental studies, case analyses, and longitudinal research. By synthesizing empirical evidence and theoretical insights, this study offers valuable insights for educators, policymakers, and researchers seeking to leverage AI for improving learning outcomes in the digital age (Baker and Inventado, 2014). This paper critically evaluates the impact of AI on learning outcomes in education, exploring student engagement, personalization, and academic performance. It discusses opportunities and challenges, emphasizing the importance of ethical considerations. Methodological approaches for assessing AI efficacy are also considered. The study provides valuable insights for educators, policymakers, and researchers in leveraging AI for improved learning outcomes.