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Abstract
This study investigated the impact of specifically designed prompts on programming learning outcomes using ChatGPT. A quasi-experimental framework compared prompt-based learning (PbL) and unprompted learning (UL) conditions on 30 college students. Mixed-methods analysis revealed that PbL students engaged more in coding and debugging, formulated more complex queries, and received more precise feedback. PbL participants showed improved perceptions of ChatGPT's usefulness, ease of use, and intention to use, particularly regarding attitude. Structured prompts enhanced problem-solving understanding and learning efficiency.
Publisher
HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS
Published On
Oct 31, 2024
Authors
Dan Sun, Azzeddine Boudouaia, Junfeng Yang, Jie Xu
Tags
prompt-based learning
programming outcomes
ChatGPT
student engagement
mixed-methods analysis

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