Learning analytics in the era of large language models

Key Points

• This research addresses the integration of large language models and generative AI in enhancing learning analytics for personalized education.
• Examines the impact of large language models like ChatGPT on educational practices.
• Discusses challenges and shortcomings in current learning analytics frameworks.
• Identifies open questions for future exploration in learning analytics workshops.
• Highlights the potential for scalable personalized learning using large language models.
• Identifies key shortcomings in existing learning analytics that require further investigation.
• Suggests a shift in focus for learning analytics workshops to address the integration of generative AI.

Abstract