Technology-enhanced Personalized Learning Environment: Moving forward from the Research to Practices on Science, Technology, and Mathematics Education

Abstract

Abstract: Over the last decade, significant advancements in technology have led researchers to examine the impact of Technology-Enhanced Personalized Learning Systems (TEPL) on conceptual learning in Science, Technology, and Mathematics (STM). Despite developing various TEPL models and methods, defining criteria and strategies for implementation remains challenging due to the complexity of enhancing conceptual learning in STM. Addressing this issue, the concept-effect relationship (CER) model has been applied to TEPL in STM education. This study focuses on using technology to boost learning in STM, guided by the CER model, tailored to individual student needs. It proposed a comprehensive TEPL framework to support STM educators, incorporating a web-based testing and diagnostic system aligned with the CER model, a constructivist learning environment for active engagement, and a continuous web-based formative assessment mechanism. This study provided practical CER model applications within TEPL, showcasing how it can offer a dynamic, responsive educational experience that meets diverse student learning styles and needs. By integrating these tools, TEPL aims to transform STM education into a more accessible, engaging, and effective experience, enhancing students’ learning outcomes in the digital age.