Abstract:

Background:
The integration of generative artificial intelligence (AI) into healthcare and higher education is accelerating, but empirical evidence on large-scale, cross-sector upskilling remains limited. This study consolidates evaluation data from AI workshops conducted across Singapore and Malaysia, targeting clinicians, educators, managers, and students. Workshops were delivered between March 2025 and the final recorded entry on 23 November 2025.

Objective:
To assess the effectiveness, perceived usefulness, and adoption intentions associated with structured AI competency workshops, using aggregated participant feedback.

Methods:
A descriptive evaluation was performed using 714 complete responses extracted from Google Form-based workshop evaluations across 12 institutions. Workshops covered AI for research, academic writing, instructional design, rehabilitation, clinical decision support, business process re-engineering, and context engineering. Quantitative 5-point Likert ratings and qualitative feedback were analysed thematically.

Results:
- Across all 714 responses, participants rated:
- Overall workshop quality: mean ratings between 4.0 and 5.0
- Usefulness of content: predominantly 5.0 (Extremely Useful)
- Facilitator effectiveness: consistently 5.0 across sites
Participants reported immediate applicability in research proposal writing, literature reviews, curriculum design, administrative workflow optimisation, and clinical documentation.
Key strengths included the breadth of AI tools (e.g., NotebookLM, ChatGPT, Gemini, InVideo, Gamma), structured demonstrations, and practical relevance to workplace tasks.

Recurrent recommendations included:
- Extending workshops to 2-day formats,
- Providing slower-paced, scaffolded hands-on practice,
- Pre-workshop onboarding for participants with lower baseline digital literacy,
- Addressing limitations arising from free vs paid AI platform differences.

Conclusion:
This evaluation of 714 participants confirms that structured, context-engineered AI workshops are highly effective, well-received, and directly applicable across healthcare, academic, and administrative settings. The consistently high ratings and strong intention to adopt AI highlight the feasibility of scaling an AI competency framework across institutions in South and Southeast Asia. Future iterations should integrate extended hands-on components, tiered learning paths, and preparatory modules to support heterogeneous learner needs.

Keywords:

Artificial intelligence, Generative AI, Healthcare education, Professional development, Context engineering, Academic writing, Research skills, Digital transformation, Capacity building, Southeast Asia, Workshop evaluation, AI literacy, Clinical education, Higher education innovation.