Digital dynamics: Exploring the intersection of AI, animation, and personalized learning

Abstract

This study investigates the transformative potential of integrating Artificial Intelligence (AI), animation, and personalized learning in contemporary education. Employing a mixed-methods approach involving interviews and experimental manipulations, the research examines the interconnectedness of these three domains and their collective impact on student engagement and English reading comprehension learning outcomes. The study employed a quasi-experimental design. Participants engaged in an 8-week AI-driven personalized learning intervention that incorporated animated content, with pre- and post-test assessments evaluating reading comprehension outcomes. Qualitative data from interviews provided further insight into the impact of animation and personalized learning on student engagement and comprehension. Findings reveal that AI-driven personalized learning, coupled with engaging animations, leads to enhanced learner motivation, improved knowledge retention, and higher academic performance. The integration of these elements creates an inclusive and adaptable learning environment, addressing the diverse needs of students. This research highlights the significance of interdisciplinary collaboration in educational innovation and emphasizes the vast potential that lies at the intersection of AI, animation, and personalized learning to revolutionize 21st-century education.