AI-Driven Customized Study Plans for Students: Experience of a Caribbean Medical School (84840)

Session Information: Higher Education Teaching Practices
Session Chair: Amitabha Basu

Wednesday, 27 November 2024 10:45
Session: Session 1
Room: Room 608 (6F)
Presentation Type: Oral Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

This study explores the effect of using Artificial Intelligence (AI) to develop personalized study schedules. Utilizing Google’s NotebookLM, we generated customized study schedules for students retaking exams. We focused on identifying strengths and weaknesses to optimize study time allocation, aiming to enhance student performance. The current process of developing a customized study schedule requires analyzing large amounts of grade data manually, which takes up a lot of time and is not often accurate in highlighting a student's individual needs. NotebookLM, an AI-powered tool, created personalized study schedules based on students' past exam performances. The process entailed the collection of each student's performance analysis reports. Performance reports were uploaded to NotebookLM for processing in PDF format. We prompted NotebookLM with "List the areas of weakness and strengths based on these performance reports". Subsequently, a second prompt was initiated, which asked to Create a 5-week, 8 am to 5 pm student schedule, providing 60% time for the weak areas and 40% for all other areas for the student. NotebookLM efficiently listed the students' strengths and weaknesses and created personalized hourly study schedules within 10-20 minutes. The AI allocated 60% of study time to areas identified as weak and 40% to other study areas, ensuring a comprehensive and balanced study strategy. The output quality depends on the commands in a textural format. AI generated study plans based on individual performance data could be helpful, speedy, and efficient. Future studies could explore the long-term impacts on student outcomes and scalability in diverse educational settings.

Authors:
Amitabha Basu, St. Matthews University School of Medicine, Cayman Islands
Pritam Biswas, St. Matthew's University School of Medicine, Cayman Islands


About the Presenter(s)
Dr Amitabha Basu is a University Professor/Principal Lecturer at St. Matthews University School of Medicine in Cayman Islands

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00