Dynamic Duo: How Open Education and Artificial Intelligence Catalyzes Collaboration and Co-Creation in Health Professions Education - APMEC 2026 panel discussion

https://medicine.nus.edu.sg/cenmed/sites/apmec2026/programs.html

Dynamic Duo: How Open Education and Artificial Intelligence Catalyzes Collaboration and Co-Creation in Health Professions Education

The Evolution and Impact of Open Educational Resources in Health Professions Education

Tao Le, USA

Leveraging AI to Transform OER Creation and Use

Goh Poh Sun, Singapore

Student Co-Creation in Open Health Professions Education

Kana Halic Kordic, Croatia

CopilotHere’s a structured outline for your panel discussion presentation on “Leveraging AI to Transform Open Education Resource (OER) Creation and Use”, including key points and references:

Title

Leveraging AI to Transform Open Education Resource Creation and Use

1. Introduction

Context: OER aims to democratize education by providing free, openly licensed learning materials.

Challenge: Traditional OER creation is time-intensive and requires expertise.

Opportunity: AI offers tools for automated content generation, personalization, and scalability.

2. Why AI Matters for OER

Generative AI can:

Create textbooks, quizzes, multimedia rapidly.

Translate and localize content for diverse learners.

Improve accessibility (e.g., alt-text, adaptive formats).

AI-driven analytics:

Identify gaps in existing OER.

Recommend resources based on learner profiles.

Reference:

Panke, S. (2024). Open Educational Resources and Artificial Intelligence for Future Open Education. Mousaion, 42(1). DOI: 10.25159/0027-2639/15106 [researchgate.net]

https://unisapressjournals.co.za/index.php/LIS/article/view/15106

Rampelt, F. et al. (2025). How Do AI Educators Use Open Educational Resources? Open Praxis, 17(1), 46–63. DOI: 10.55982/openpraxis.17.1.766 [openpraxis.org]

https://openpraxis.org/articles/10.55982/openpraxis.17.1.766

3. Key Applications

Content Creation: AI tools like GPT can generate modular OER units.

Personalization: Adaptive learning paths using AI.

Translation & Localization: AI supports multilingual OER.

Quality Enhancement: AI-assisted peer review and plagiarism checks.

Reference:

Amnie, A. (2025). Harnessing AI in Developing OER – Educational Technology. Hostos EdTech Innovations. Link [commons.ho...s.cuny.edu]

https://commons.hostos.cuny.edu/edtech/faculty/newsletter/issue-28/harnessing-ai-in-developing-oer/

Yousuf, M. A. (2023). Using Generative AI to Develop and Promote OER. Maryland OER Summit. PDF [usmd.edu]

https://www.usmd.edu/cai/sites/default/files/Using%20Generative%20AI%20to%20Develop%20And%20Promote%20Open%20Educational%20Resources.pdf

4. Ethical and Practical Considerations

Bias and Accuracy: AI-generated content must be fact-checked.

Copyright & Licensing: Ensure AI outputs comply with CC licenses.

Sustainability: Address ecological impact of large AI models.

AI Literacy: Educators need training to use AI responsibly.

Reference:

Kimmons, R., Veletsianos, G., & Trust, T. (2025). Judicious AI Use to Improve Existing OER. AI and Open Education Initiative. Link [aiopeneduc...pubpub.org]

https://aiopeneducation.pubpub.org/pub/bl09sl1d/release/2

Ossiannilsson, E. et al. (2024). AI Use to Empower OER Implementation and UNESCO OER Recommendation. Open Praxis, 16(2), 237–257. DOI: 10.55982/openpraxis.16.2.650 [openpraxis.org]

https://openpraxis.org/articles/10.55982/openpraxis.16.2.650

5. Best Practices for Educators

Start Small: Use AI for micro-content before full courses.

Collaborate: Share AI-generated OER in open repositories.

Validate: Combine AI outputs with expert review.

Policy Alignment: Follow institutional and UNESCO OER guidelines.

Reference:

MIT Open Learning (2025). AI + Open Education Initiative Speaker Series. Link [openlearning.mit.edu]

https://openlearning.mit.edu/news/mit-open-learning-speaker-series-bridges-ai-and-open-education

ACRL Panel (2025). OER Evolved: AI, Libraries, and the Next Generation of Open Education. Link [connect.ala.org]

https://connect.ala.org/acrl/discussion/free-online-panel-discussion-oer-evolved-ai-libraries-and-the-next-generation-of-open-education-2

6. Future Directions

AI-powered OER ecosystems: Dynamic, personalized, multilingual.

Integration with LMS: Seamless AI-OER workflows.

Global Collaboration: Shared AI models for OER across regions.

References Slide

Include all cited works in APA format:

Panke, S. (2024). Open Educational Resources and Artificial Intelligence for Future Open Education. Mousaion, 42(1), 23 pages.

Rampelt, F., et al. (2025). How Do AI Educators Use Open Educational Resources? Open Praxis, 17(1), 46–63.

Ossiannilsson, E., et al. (2024). Artificial Intelligence Use to Empower the Implementation of OER and the UNESCO OER Recommendation. Open Praxis, 16(2), 237–257.

Amnie, A. (2025). Harnessing AI in Developing OER. Hostos EdTech Innovations.

Yousuf, M. A. (2023). Using Generative AI to Develop and Promote OER. Maryland OER Summit.

MIT Open Learning (2025). AI + Open Education Initiative Speaker Series.

Kimmons, R., Veletsianos, G., & Trust, T. (2025). Judicious AI Use to Improve Existing OER.

✅ Detailed Speaking Script for Panel Discussion

Slide 1: Title – Leveraging AI to Transform OER Creation and Use

Script:

“Welcome everyone to our panel discussion on Leveraging AI to Transform Open Education Resource Creation and Use. Today, we’ll explore how AI can revolutionize the way we create, share, and use OER, making education more accessible and personalized globally.”

Slide 2: Introduction

Script:

“OERs are free, openly licensed educational materials that aim to democratize learning. However, creating high-quality OER is time-consuming and resource-intensive. AI offers a unique opportunity to automate content generation, improve accessibility, and scale OER globally. Let’s see why this matters.”

Slide 3: Why AI Matters for OER

Script:

“Generative AI can create textbooks, quizzes, and multimedia content quickly. It can translate and localize resources for diverse learners and improve accessibility through features like alt-text and adaptive formats. AI-driven analytics can identify gaps in existing OER and recommend resources tailored to learner needs.”

Slide 4: Key Applications

Script:

“AI can assist in content creation, personalization, translation, and quality enhancement. For example, GPT models can generate modular learning units, while AI tools can help educators review content for accuracy and plagiarism. These applications make OER more dynamic and learner-centered.”

Slide 5: Ethical and Practical Considerations

Script:

“With great power comes responsibility. AI-generated content must be fact-checked to avoid misinformation. Licensing compliance is critical to maintain openness. We also need to address sustainability concerns and ensure educators have AI literacy to use these tools effectively.”

Slide 6: Best Practices for Educators

Script:

“Start small—use AI for micro-content before scaling to full courses. Collaborate by sharing AI-generated OER in open repositories. Validate AI outputs with expert review. And align with institutional and UNESCO OER guidelines to ensure ethical and inclusive practices.”

Slide 7: Future Directions

Script:

“Imagine AI-powered OER ecosystems that are dynamic, personalized, and multilingual. Integration with LMS will make workflows seamless. Global collaboration can lead to shared AI models for OER, fostering equity and innovation in education worldwide.”

Slide 8: References

Script:

“These references provide deeper insights into AI and OER. I encourage you to explore them for practical strategies and research findings. Thank you for joining this discussion—let’s open the floor for questions.”