Development of an AI and Learning Analytics (LA) Integrated Teaching-Learning Model for STEM
DOI:
https://doi.org/10.33830/ijrse.v7i2.1814Keywords:
Artificial Intelligence (AI), Learning Analytics (LA), STEM education, instructional model, STELA, personalized learning, data-driven teaching, student engagementAbstract
This research presents the development of the STEM Teaching and Learning Model with AI & Learning Analytics (STELA), an integrated teaching-learning framework that combines Artificial Intelligence (AI) and Learning Analytics (LA) to enhance STEM education. STELA leverages AI’s ability to create personalized learning paths and provide real-time feedback, while LA utilizes student data to track progress, predict outcomes, and inform instructional strategies. By aligning these technologies, the model aims to optimize student engagement and improve learning outcomes in STEM subjects. The research identifies key challenges, including data privacy concerns, technological barriers, and the need for teacher training. By addressing these challenges, this study provides a scalable and adaptable framework for integrating AI and LA in diverse educational settings, offering practical solutions for enhancing STEM education through data-driven and AI-powered methodologies.
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