دورية أكاديمية

Can ChatGPT Pass Graduate-Level Instructional Design Assignments? Potential Implications of Artificial Intelligence in Education and a Call to Action

التفاصيل البيبلوغرافية
العنوان: Can ChatGPT Pass Graduate-Level Instructional Design Assignments? Potential Implications of Artificial Intelligence in Education and a Call to Action
اللغة: English
المؤلفون: Bruce Parsons (ORCID 0000-0001-5604-8562), John H. Curry
المصدر: TechTrends: Linking Research and Practice to Improve Learning. 2024 68(1):67-78.
الإتاحة: 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.comTest/
تمت مراجعته من قبل الزملاء: Y
Page Count: 12
تاريخ النشر: 2024
نوع الوثيقة: Journal Articles
Reports - Evaluative
Education Level: High Schools
Secondary Education
Grade 12
الواصفات: Artificial Intelligence, Technology Uses in Education, Educational Technology, Instructional Design, Assignments, Learning Analytics, High School Students, Grade 12, Media Literacy, Benchmarking, Scoring Rubrics
DOI: 10.1007/s11528-023-00912-3
تدمد: 8756-3894
1559-7075
مستخلص: 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.
Abstractor: As Provided
Entry Date: 2024
رقم الانضمام: EJ1406323
قاعدة البيانات: ERIC
الوصف
تدمد:8756-3894
1559-7075
DOI:10.1007/s11528-023-00912-3