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ERIC Number: EJ1406323
Record Type: Journal
Publication Date: 2024
Pages: 12
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-8756-3894
EISSN: EISSN-1559-7075
Can ChatGPT Pass Graduate-Level Instructional Design Assignments? Potential Implications of Artificial Intelligence in Education and a Call to Action
Bruce Parsons; John H. Curry
TechTrends: Linking Research and Practice to Improve Learning, v68 n1 p67-78 2024
This article investigates an artificial intelligence language model, ChatGPT, and its ability to complete graduate-level instructional design assignments. The approach subjected ChatGPT to a needs, task, and learner analysis for a 12th-grade media literacy module and benchmarked its performance by expert evaluation and measurements via grading rubrics. Initial results show ChatGPT's ability to write graduate-level instructional design assignments but with some challenges and frustration in the bot's ability to customize for location and school-specifics. Key benefits of the findings include new ways to challenge instructional design students, faculty customization of future assignments, and the potential of AI as a collaboration tool in the instructional design and educational process.
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://link.springer.com/
Publication Type: Journal Articles; Reports - Evaluative
Education Level: High Schools; Secondary Education; Grade 12
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A