ERIC Number: EJ1433193
Record Type: Journal
Publication Date: 2024-Jul
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-8756-3894
EISSN: EISSN-1559-7075
Available Date: N/A
Utilizing Generative AI for Instructional Design: Exploring Strengths, Weaknesses, Opportunities, and Threats
Gi Woong Choi; Soo Hyeon Kim; Daeyeoul Lee; Jewoong Moon
TechTrends: Linking Research and Practice to Improve Learning, v68 n4 p832-844 2024
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.
Descriptors: Artificial Intelligence, Instructional Design, Information Technology, Course Content, Concept Mapping, Technology Uses in Education
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://bibliotheek.ehb.be:2123/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A