AI-Driven Customized Study Plans for Students: Experience of a Caribbean Medical School (84840)
Session Chair: Amitabha Basu
Wednesday, 27 November 2024 10:45
Session: Session 1
Room: Room 608 (6F)
Presentation Type: Oral Presentation
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
See this presentation on the full schedule – Wednesday Schedule
A Note to Presenters
To enhance academic profiles and showcase research, we encourage all presenters and co-presenters to include links to their public LinkedIn, ResearchGate profile, and research websites. Presenters may update their bio for their presentation by completing the form linked below by October 22, 2024.- Presenter Information Update Form
Submitted changes will be reflected on November 01, 2024
Additionally, presenters should also update their IAFOR account details if there have been any changes to affiliations or biographies.
- https://submit.iafor.org/my-account/edit-account
Comments
Powered by WP LinkPress