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Authors: Ashish Garg and Ramkumar Rajendran

Affiliation: IDP in Educational Technology, Indian Institute of Technology Bombay, Mumbai, India

Keyword(s): Large Language Model, Structured Prompt, Programming, Data Analysis.

Abstract: This paper investigates the use of Generative AI chatbots, especially large language models like ChatGPT, in enhancing data analysis skills through structured prompts in an educational setting. The study addresses the challenge of deploying AI tools for learners new to programming and data analysis, focusing on the role of structured prompt engineering as a facilitator. In this study Engineering students were trained to adeptly use structured prompts in conjunction with Generative AI, to improve their data analysis skills. The t-test comparing pre-test and post-test scores on programming and data analysis shows a significant difference, indicating learning progress. Additionally, the task completion rate reveals that 45% of novice participants completed tasks using Generative AI and structured prompts. This finding highlights the transformative impact of Generative AI in education, indicating a shift in learning experiences and outcomes. The integration of structured prompts with Gen erative AI not only aids skill development but also marks a new direction in educational methodologies. (More)

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Paper citation in several formats:
Garg, A. and Rajendran, R. (2024). The Impact of Structured Prompt-Driven Generative AI on Learning Data Analysis in Engineering Students. In Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-697-2; ISSN 2184-5026, SciTePress, pages 270-277. DOI: 10.5220/0012693000003693

@conference{csedu24,
author={Ashish Garg. and Ramkumar Rajendran.},
title={The Impact of Structured Prompt-Driven Generative AI on Learning Data Analysis in Engineering Students},
booktitle={Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2024},
pages={270-277},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012693000003693},
isbn={978-989-758-697-2},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - The Impact of Structured Prompt-Driven Generative AI on Learning Data Analysis in Engineering Students
SN - 978-989-758-697-2
IS - 2184-5026
AU - Garg, A.
AU - Rajendran, R.
PY - 2024
SP - 270
EP - 277
DO - 10.5220/0012693000003693
PB - SciTePress

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