Name
Educators' Opinions on Establishing Real-time Feedback Systems Using Artificial Intelligence in Medical Education - A Qualitative Analysis
Description

Presented By: Jyotsna Needamangalam Balaji, Panimalar Medical College Hospital & Research Institute
Co-Authors: Krishna Mohan Surapaneni, Panimalar Medical College Hospital & Research Institute

Purpose
The integration of artificial intelligence (AI) in medical education has been a subject of increasing interest and exploration. One particular aspect gaining attention is the establishment of real-time feedback systems using AI to enhance the learning experience for medical students. This study aims to gather educators' opinions on the implementation of such systems and provide a qualitative analysis of their perspectives.

Methods
In this qualitative study, medical educators were selected through purposive sampling, ensuring representation from diverse backgrounds and institutions. Semi-structured interviews and focus group discussions were conducted to capture a rich and nuanced understanding of educators' opinions on the potential benefits, challenges, and implications of integrating real-time feedback systems powered by AI. The interview and discussion sessions were audio-recorded and transcribed for analysis. Thematic and content analysis was performed with the anonymised data.

Results
The analysis revealed several key themes emerging from the educators' opinions. Positive responses were noted in terms of the potential for AI-driven real-time feedback to offer personalized learning experiences, timely identification of areas for improvement, and the promotion of self-directed learning among students. Educators also expressed optimism about the scalability of such systems and their ability to accommodate the diverse learning styles and paces of individual students. However, challenges were identified, including concerns related to the ethical use of AI, potential bias in algorithms, and the need for comprehensive training for both educators and students to effectively utilize these systems and maintain a balance between technology-assisted learning and human interaction in medical education.

Conclusions
Educators' opinions on establishing real-time feedback systems using AI in medical education reflect a mix of enthusiasm for the potential benefits and cautious consideration of associated challenges. The findings underscore the need for thoughtful and ethical integration of AI technologies, ensuring that they complement rather than replace traditional teaching methods.

Date & Time
Sunday, June 16, 2024, 4:15 PM - 4:30 PM
Location Name
Marquette V