This course explores the intersection of artificial intelligence (AI) and learning analytics, focusing on leveraging AI techniques to enhance educational outcomes and performance assessment. Participants will delve into modules covering topics such as predictive analytics for student success, personalized learning paths, recommender systems in education, AI-driven assessments and feedback, adaptive learning platforms, and the use of chatbots for academic support. Additionally, the course addresses the development and utilization of learning analytics dashboards to track and analyze student progress. Ethical considerations in AI for learning analytics are also examined, along with future trends and innovations in this rapidly evolving field.

Who This Course Is For:

This course is suitable for educators, instructional designers, learning technologists, academic administrators, and educational researchers interested in harnessing the power of AI to improve learning analytics and performance assessment in educational settings. It is also valuable for professionals in the education technology industry seeking to develop AI-driven solutions for personalized learning and academic support. Additionally, students and individuals interested in the application of AI in education will find this course beneficial for understanding its role in learning analytics and assessment.