Utilizing Generative AI for Instructional Design
Exploring Strengths, Weaknesses, Opportunities, and Threats
Bibliographic Data
| ID | 12816733 |
|---|---|
| Authors | Gi Woong Choi (0000-0002-9631-3727, University of Cincinnati, corresponding author), Soo Hyeon Kim (0000-0001-5154-8381, Indiana University Indianapolis), Daeyeoul Lee (0000-0003-1111-9691, New York University), Jewoong Moon (0000-0001-6311-3019, University of Alabama) |
| Year | 2024 |
| Volume | 68 |
| Issue | 4 |
| Pages | 832-844 |
| Publication date | 2024-05-11 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | TechTrends (JOURNAL) |
| Journal identifiers | ISSN: 8756-3894 • E-ISSN: 1559-7075 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s11528-024-00967-w |
| OpenAlex | W4396835345 |
| Language | EN |
| Citations received | 9 |
| References cited | 29 |
Recently, generative AI has been at the center of disruptive innovation in various settings, including educational sectors. This article investigates ChatGPT, which is one of the most prominent generative AI in the market, to explore its usefulness and potential for instructional design. Four researchers used a set of prompts to generate a course map for an online course that is aimed to teach the topic of makerspace and conducted SWOT analysis to identify strengths, weaknesses, opportunities, and threats of using generative AI for instructional design. The findings suggest that there is promise in using ChatGPT as an efficient and effective tool for creating course maps, yet it still requires the domain knowledge and instructional design expertise to warrant quality and reliability of the tool
Educational technology · Engineering ethics · Generative grammar · Instructional design · Knowledge management · Management science · Mathematics education · Multimedia · Strengths and weaknesses · Computer Science · Engineering · Online Learning and Analytics · Psychology · Artificial Intelligence
Reimagining instructional design
Between scaffolds and shifts
Generative AI-Enhanced Virtual Reality Simulation for Pre-Service Teacher Education
The intersection of artificial intelligence and instructional design practice
Exploring instructional designers' utilization and perspectives on generative AI tools
Developing an Educational GenAI Usage Motivation Scale
Leveraging Digital Curriculum Mapping
Leveraging ChatGPT to Support Self-Regulated Learning in Online Courses
How Can (A)I Research This? An Autoethnographic Exploration of Generative AI in Research, Teaching and Instructional Design
A SWOT analysis of ChatGPT
Revolutionizing education with AI
Engineering Education in the Era of ChatGPT
What if the devil is my guardian angel
An Integrated Theory of the Mind.
Bringing academics on board
Can ChatGPT Pass Graduate-Level Instructional Design assignments? Potential Implications of Artificial Intelligence in Education and a Call to Action
Using Student Self-Ratings to Assess the Alignment of Instructional Design Competencies and Courses in a Graduate Program
| Unique citing works | 9 |
|---|---|
| Citations per year | 9 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 9 |