The Impact of Generative AI in Personalized Learning on Students Learning Outcomes; Teachers Perception of Impact of AI in The 21st Century

Abstract

This study explores the impact of generative AI integration in personalized learning on student learning outcomes, focusing on teachers' perceptions of AI’s role in 21st-century education. A purposive sampling technique was used to survey 250 teachers, who provided insights on how AI influences educational environments. The study employed a descriptive research design of survey type. Primary mode of data collection was adopted using a researcher-structured questionnaire as the research instrument, which was validated, and reliability testing yielded a coefficient of 0.8 using the Spearman-Brown Prophecy Formula. Frequency count and percentage was employed to analyze the demographic data of the respondents while mean score, percentile and standard deviation were used to answer the research questions drawn for the study. The study revealed that teachers perceive generative AI in personalized learning as significantly enhancing student learning outcomes. Specifically, AI-generated personalized content was found to positively influence student engagement and motivation in the learning process. Additionally, the results indicate that teacher digital literacy skills are crucial to effectively implementing generative AI in personalized learning, impacting its success in improving learning outcomes. These findings suggest that investment in AI resources and teacher digital literacy training is essential to fully harness AI's potential in personalized learning and improve student success in the 21st-century classroom. This study further strengthens the knowledge on AI's transformative role in modern classrooms and its potential to support tailored educational experiences geared towards a learning outcome.