AI Integration Strategies for Self-Directed Learning Experiences in TBL
Join our interactive workshop that explores the implementation of AI tools into self-directed learning experiences in medical education.
About the event
The purpose of this interactive workshop is to explore the integration of AI tools into self-directed learning (SDL) experiences using the InteDashboard platform. As medical education evolves to cultivate self-directed practitioners, educators are called to design authentic experiences incorporating AI technologies which promote lifelong learning skills.
Through hands-on activities using the InteDashboard platform, participants will learn best practices in AI prompt design to enhance clinical reasoning. Using Knowles’ SDL framework, participants will implement self-directed learning principles that enable learners to identify knowledge gaps, set learning objectives, locate evidence-based resources, synthesize information, and evaluate their own learning. We will explore how iterative prompt refinement can enhance metacognitive awareness and support self-directed learning.
Whether you are new to AI integration in medical education or looking to enhance your digital pedagogy skills, this session will equip you with practical tools to design prompts that foster independent learning and clinical decision-making. Participants will leave with a toolkit of prompt templates and strategies ready for implementation in their educational practice.
Learning objectives
By the end of this session, participants should be able to:
- Identify the key components of effective prompts for AI-assisted clinical case analysis.
- Effectively incorporate AI tools into self-directed learning (SDL) experiences.
- Design an AI-SDL session using InteDashboard TBL resources.
- Reflect upon the implications of AI usage in self-directed learning.
Who this is for
Basic and advanced TBL facilitators who want to develop novel self-directed learning experiences while building their AI fluency.
About the facilitators
Dr. Chase is a Professor of Medical Education at Nova Southeastern University College of Allopathic Medicine. Currently, she co-directs a Brain, Body, and Behavior Block in which she collaborates with educator teams to deliver innovative TBL sessions using the InteDashboard platform. Throughout her career, Dr. Chase has focused on design of meaningful learning experiences to promote adaptive expertise and learner success in early medical education. She contributes to faculty development nationally and facilitates workshops on the scholarship of teaching and learning at leading conferences on health professions education. Dr. Chase is actively involved in peer mentorship through the International Association of Medical Science Educators where she serves on the Board of Directors.
Dr. Taranikanti is a professor at Oakland University William Beaumont School of Medicine. She is a passionate and innovative medical educator with over 20 years of teaching experience in different countries (India, the Middle East, and the USA) with a rich exposure to different curricula. Her innovative teaching methods include developing integrated assessments for team-based learning (TBL), student-directed learning (SDL), and team assessments in a lab setting. She has been collaborating with experts in medical education on AI-driven educational projects to enhance critical thinking skills among students. She has been invited to give talks and conduct workshops and symposiums in Australia, India, Dubai, and Singapore and in the USA on developing team-based integrated assessments. Dr. Taranikanti aims to empower students to be lifelong learners and health care visionaries, equipping them with the skills and knowledge necessary to positively impact society.
Join our interactive workshop that explores the implementation of AI tools into self-directed learning experiences in medical education.
About the event
The purpose of this interactive workshop is to explore the integration of AI tools into self-directed learning (SDL) experiences using the InteDashboard platform. As medical education evolves to cultivate self-directed practitioners, educators are called to design authentic experiences incorporating AI technologies which promote lifelong learning skills.
Through hands-on activities using the InteDashboard platform, participants will learn best practices in AI prompt design to enhance clinical reasoning. Using Knowles’ SDL framework, participants will implement self-directed learning principles that enable learners to identify knowledge gaps, set learning objectives, locate evidence-based resources, synthesize information, and evaluate their own learning. We will explore how iterative prompt refinement can enhance metacognitive awareness and support self-directed learning.
Whether you are new to AI integration in medical education or looking to enhance your digital pedagogy skills, this session will equip you with practical tools to design prompts that foster independent learning and clinical decision-making. Participants will leave with a toolkit of prompt templates and strategies ready for implementation in their educational practice.
Learning objectives
By the end of this session, participants should be able to:
- Identify the key components of effective prompts for AI-assisted clinical case analysis.
- Effectively incorporate AI tools into self-directed learning (SDL) experiences.
- Design an AI-SDL session using InteDashboard TBL resources.
- Reflect upon the implications of AI usage in self-directed learning.
Who this is for
Basic and advanced TBL facilitators who want to develop novel self-directed learning experiences while building their AI fluency.
About the facilitators
Dr. Chase is a Professor of Medical Education at Nova Southeastern University College of Allopathic Medicine. Currently, she co-directs a Brain, Body, and Behavior Block in which she collaborates with educator teams to deliver innovative TBL sessions using the InteDashboard platform. Throughout her career, Dr. Chase has focused on design of meaningful learning experiences to promote adaptive expertise and learner success in early medical education. She contributes to faculty development nationally and facilitates workshops on the scholarship of teaching and learning at leading conferences on health professions education. Dr. Chase is actively involved in peer mentorship through the International Association of Medical Science Educators where she serves on the Board of Directors.
Dr. Taranikanti is a professor at Oakland University William Beaumont School of Medicine. She is a passionate and innovative medical educator with over 20 years of teaching experience in different countries (India, the Middle East, and the USA) with a rich exposure to different curricula. Her innovative teaching methods include developing integrated assessments for team-based learning (TBL), student-directed learning (SDL), and team assessments in a lab setting. She has been collaborating with experts in medical education on AI-driven educational projects to enhance critical thinking skills among students. She has been invited to give talks and conduct workshops and symposiums in Australia, India, Dubai, and Singapore and in the USA on developing team-based integrated assessments. Dr. Taranikanti aims to empower students to be lifelong learners and health care visionaries, equipping them with the skills and knowledge necessary to positively impact society.