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| تعداد شماره‌ها | 6,878 |
| تعداد مقالات | 74,135 |
| تعداد مشاهده مقاله | 137,885,398 |
| تعداد دریافت فایل اصل مقاله | 107,254,148 |
Generative AI in Digital Education: A Case Study of Content Co-Creation in a Design Thinking MOOC | ||
| Journal of Design Thinking | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 01 مهر 1404 اصل مقاله (615.98 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22059/jdt.2025.398488.1158 | ||
| نویسندگان | ||
| Hanadi Traifeh* ؛ Christoph Meinel | ||
| German University of Digital Science | ||
| چکیده | ||
| Integrating Generative Artificial Intelligence (GenAI) into educational materials development pre-sents opportunities and challenges in education, particularly in Massive Open Online Courses (MOOCs). This study explores the role of GenAI in developing content for MOOCs using a De-sign Thinking MOOC as a case study. It assesses GenAI-generated instructional materials for con-tent accuracy, depth, and engagement potential while analyzing the level of human intervention re-quired for pedagogical quality. Using Perplexity Pro as the GenAI tool, the study finds that GenAI efficiently generates structured drafts, fictional learning scenarios, and key takeaways. However, significant limitations emerge in GenAI’s ability to differentiate complex domain-specific concepts, develop high-quality assessment items, and ensure pedagogical alignment. Human intervention remains fundamental for enhancing conceptual depth, refining instructional clarity, and fostering learner engagement. Based on these insights, the study proposes a Framework for GenAI-Assisted Content Creation in MOOC Design, outlining a structured approach to integrating GenAI while maintaining educational rigor. The framework highlights four interdependent phases: Content Planning & GenAI Preparation; GenAI-Generated Content Creation; Expert Review & Refine-ment; and Testing & Iterative Improvement. The study further presents Guidelines and Best Prac-tices for MOOC Designers, providing practical recommendations for leveraging GenAI effectively without compromising instructional quality. This research contributes to the growing literature on AI-driven education, providing practical guidelines for MOOC designers seeking to optimize GenAI-driven content development. | ||
| کلیدواژه‌ها | ||
| Design Thinking, Human-AI Collaboration؛ MOOCs؛ GenAI in Education, Perplexity Pro | ||
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آمار تعداد مشاهده مقاله: 29 تعداد دریافت فایل اصل مقاله: 35 |
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