Accepted abstracts will be published in Medicine & Health Journal (WOS)
Welcome to the cutting edge of medical education! Our conference invites you to submit abstracts exploring the transformative power of AI in SEVEN key themes:
- Digital Technology-enhanced Curriculum Design & Development – Curriculum development using digital platforms, integrating digital competencies, using data-driven tools for curriculum mapping and personalization
- Digital Technology-enhanced Assessment & Test Development – Online assessment platforms, automated grading systems, digital formative assessments, adaptive testing, and real-time performance analytics.
- Digital Technology-enhanced Teaching & Learning – Digital simulations, virtual reality and augmented reality for clinical training, online learning management systems, interactive e-learning modules.
- Digital Technology-enhanced Faculty Development – Online platforms for professional growth, digital teaching aids, feedback tools for educators, using digital technology for faculty collaboration and mentoring.
- Ethics and Professionalism in Digital Technology – Ethical use of digital tools in training, data privacy and security in digital learning, balancing human touch with digital engagement in professional settings.
- Digital Technology-enhanced Teacher & Student Wellbeing – Health apps for student and faculty support, digital tools to monitor stress and burnout, platforms/initiatives/framework for fostering wellbeing and resilience in medical education.
- Digital Technology in Quality Assurance & Accreditation – Digital platforms for tracking learning outcomes, data-driven quality metrics, using digital tools for continuous quality improvement and accreditation processes.
Submit your abstracts for oral and poster presentation now!
Abstract submission guidelines
All abstracts will be adjudicated for inclusion in either the oral or poster presentation formats.
Abstracts are 300 words maximum and should follow the format provided below.
Please use 12 point Arial or Times New Roman font.
Abstracts should be submitted in Microsoft Word document (.doc or .docx) or PDF format.
General outline of abstract should include:
- Title -clear and concise, maximum 20 words
- Author(s) names and affiliations
- Introduction/background
- Methods
- Results
- Conclusion
- Keywords- include 3-5 relevant keywords
Review Process: All abstracts will be peer-reviewed.
Accepted submission deadline by 15 November 2024.
Accepted abstracts will be notified by 30 November 2024.
Presentation Preference: Indicate whether you prefer an oral presentation, poster presentation, but the final decision will be made by the reviewer panel.