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Published on: November 24, 2021
GENERATIVE AI IN LEARNING DESIGN PRACTICE: BUILDING AN ONLINE COURSE FOR BIOMEDICAL SCIENCES RESEARCH PROGRAMS
Divya Suresh1, Melis Dilek2, Aliye Karabulut-Ilgu3
1Ph.D. student in the Human-Computer Interaction program at lowa State University. Her research explores the use of Artificial Intelligence in education.
International Journal of Designs for Learning
|March 9, 2026
Summary
Generative Artificial Intelligence (GenAI) tools enhanced online course development for biomedical sciences, improving efficiency. Human oversight ensured ethical considerations and pedagogical needs were met for a human-centered design.
Area of Science:
- Biomedical Sciences Education
- Educational Technology
- Artificial Intelligence in Education
Background:
- Developing self-paced online courses for biomedical sciences research training requires innovative instructional design.
- Integrating emerging technologies like Generative Artificial Intelligence (GenAI) presents opportunities and challenges in course creation.
Purpose of the Study:
- To document the design case of integrating GenAI tools into developing a self-paced online course on program evaluation for biomedical sciences.
- To explore the use of GenAI as a co-thinker in instructional design, balancing innovation with ethical responsibility and pedagogical needs.
Main Methods:
- Utilized GenAI tools (ChatGPT, Copilot, Gemini, Audiate) for tasks like content ideation, scriptwriting, audio narration, and assessment creation.
- Employed a human-centered approach, with designers making informed decisions and addressing ethical issues such as bias and accessibility.
- Focused on pedagogical alignment, revising learning objectives and developing AI-assisted assessments for higher-order learning outcomes.
Main Results:
- GenAI tools assisted in various stages of instructional design, enhancing efficiency in content development and multimedia scripting.
- Deliberate design choices were made to ensure AI-generated content was pedagogically sound and ethically responsible.
- The integration process highlighted the importance of human oversight in leveraging GenAI capabilities.
Conclusions:
- GenAI can significantly improve the efficiency of developing online educational materials for biomedical sciences.
- Successful integration requires a human-centered approach that prioritizes ethical considerations, accessibility, and pedagogical effectiveness.
- Future development of AI-assisted educational tools should focus on seamless human-AI collaboration and responsible implementation.
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