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cloud.google.com·6h ago
AI Research
arXiv CS.AI·6d ago·5 min read
Understanding Generative AI Use in Programming MOOCs: The Role of Course Context and Learner Characteristics
TL;DR
Generative AI tools like ChatGPT are widely adopted in programming MOOCs, with usage frequency influenced more by course context than learner characteristics. Longer courses see higher GenAI use for debugging and idea generation.
✦ Why It Matters
Consider adapting course structures to enhance GenAI tool usage for better learner outcomes.
Key Takeaways
- Integrate GenAI tools into programming curricula effectively.
- Analyze course context to optimize GenAI usage.
- Encourage debugging and idea generation with GenAI.
- Monitor learner demographics for tailored support.
Full Summary
The study investigates how learners use generative AI (GenAI) tools, such as ChatGPT, in two Estonian programming MOOCs with varying durations and complexities. Data from post-course questionnaires were analyzed to assess self-reported adoption, frequency of use, and purposes for using GenAI.
Results indicated that GenAI adoption was prevalent across both courses, with no significant differences based on gender, age, education, or prior programming experience. However, participants in the longer course reported higher usage frequency, particularly for debugging and idea generation.
Exploratory analyses revealed limited connections between GenAI use and learning outcomes. These findings suggest that the context of the course significantly influences how learners engage with GenAI tools, highlighting the importance of instructional design in programming education.