Research Project:
AI-Enhanced Medical Education
This application forms one component of a doctoral investigation into AI‑powered virtual learning environments for clinical competency development. Participants practice history‑taking with a safe, realistic virtual patient and receive structured feedback for research analysis.
Follow My PhD Journey
Monthly video updates documenting my doctoral research on AI-powered virtual learning environments for medical education.
PhD Journey Update: AI-Enhanced Medical Education Research
Latest update on my doctoral research progress with AI-powered virtual learning environments for medical education. This video covers recent developments, challenges, and next steps in the research journey.
Research Overview (Draft)
Designing and evaluating pedagogy‑driven AI‑powered virtual learning environments to strengthen core clinical competencies.
Study Timeline
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- Comprehensive literature review of contemporary adult learning theory and AI in medical education
- Development of a Pedagogy‑Driven AI Design Framework
- Mapping of competencies to AI interaction structures
Evidence‑Based Educational Design
This trainer integrates established pedagogical frameworks and validated assessment models to support rigorous study outcomes.
Academic Context
Part of a PhD study: “Designing and Evaluating Pedagogy‑Driven AI‑Powered Virtual Learning Environments for Core Clinical Competency Development.”
Pedagogical Foundations
Grounded in contemporary adult learning theory — Experiential, Transformative, and Connectivist learning with Social Cognitive Theory — to support deliberate practice, reflection, and self‑efficacy.
Competency Assessment
Uses established frameworks including Calgary‑Cambridge and SEGUE to structure feedback and evaluation.
Participate in the Study
Engage with a realistic virtual patient for a timed history‑taking session and receive structured feedback used for research analysis.
Read Information Sheet
Learn about the study aims, procedures, and how your data will be used in the research.
Provide Consent & Register
Register as a participant and acknowledge voluntary, withdraw‑anytime participation.
Complete Session & Receive Feedback
Practice for 20 minutes, then view a structured report aligned to competency frameworks.
Ethical Transparency
- Data are used solely for research and educational improvement; no commercial use.
- Participant privacy is respected; analysis uses de‑identified aggregates.
- Participation is voluntary and you may withdraw at any time without penalty.
- Contact the researcher for questions about the study or your data.
Contribute to Medical Education Research
Help evaluate AI‑enhanced learning environments and advance evidence‑based education.
Participate in the Study