Introduce LLM tools at later stages of programming education, after students have acquired basic coding principles¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The authors advocate a balanced approach to integrating LLMs into educational curriculums: "By introducing these tools at later stages of programming education, after students have acquired basic coding principles", so students gain both productivity benefits and problem-solving skills developed through traditional methods. The strategy responds to their finding that premature LLM use can diminish essential problem-solving experiences.

Design Implications¶

Context¶

Requirements¶

• Students must first acquire basic coding principles through traditional learning methods before LLM introduction

Constraints¶

• The article's evidence base is a correlational study with thirty-two participants over ten weeks, which the authors state may not generalize across all programming education contexts

Target Learners¶

• undergraduate programming students

Target Learning Goals¶

• independent problem-solving skills
• foundational programming competencies in web development

Related Strategies¶

• Introduce prompt-engineering training before students use Gen AI for structured self-study techniques

Examples¶

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Key Sources¶

• Jošt, G.; Taneski, V.; Karakatič, S. (2024). The Impact of Large Language Models on Programming Education and Student Learning Outcomes. Appl. Sci. 14, 4115. https://doi.org/10.3390/app14104115