Bibliographic Information: Amoozadeh, M., Nam, D., Prol, D., Alfageeh, A., Prather, J., Hilton, M., Ragavan, S. S., & Alipour, M. A. (2024). Student-AI Interaction: A Case Study of CS1 students. In Proceedings of the ACM Conference on International Computing Education Research (to appear).
Research Objective: This study investigates how novice programmers (CS1 students) interact with ChatGPT while solving programming tasks, focusing on the frequency, timing, strategies, and impact on self-efficacy.
Methodology: A mixed-methods study was conducted with 15 CS1 students who used a custom VSCode plugin integrating ChatGPT. Data was collected through pre- and post-study surveys (including self-efficacy questionnaires), automated logs of ChatGPT interactions, and video recordings of participants' problem-solving behaviors.
Key Findings:
Main Conclusions:
Significance: This study provides valuable insights into the opportunities and challenges of integrating Generative AI tools in computing education. The findings highlight the need for educators to carefully consider the design and implementation of AI-assisted learning environments to promote effective learning and avoid potential pitfalls.
Limitations and Future Research: The study was limited by its small sample size and specific context (CS1 course). Future research should explore the generalizability of these findings to other programming courses and educational settings. Additionally, longitudinal studies are needed to investigate the long-term impact of Generative AI use on students' learning, problem-solving abilities, and self-efficacy.
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by Matin Amooza... lúc arxiv.org 10-14-2024
https://arxiv.org/pdf/2407.00305.pdfYêu cầu sâu hơn