Implementation of generative artificial intelligence as co-creator to assist students in research proposal writing

Authors

DOI:

https://doi.org/10.24071/icre.v1i1.46

Keywords:

co-creator, generative artificial intelligence, research proposal, students’ responses

Abstract

The development of Generative Artificial Intelligence (GenAI) technology has opened up new opportunities in the field of education, serving as a collaborative partner in the learning process. This study aims to explore the implementation of GenAI as a co-creator in assisting students in writing research proposals and students’ responses to the implementation. This study is descriptive-qualitative research. The research subjects are students taking the Research Proposal course in the odd semester of 2025/2026 in the Economics Education Study Program, Sanata Dharma University. Data collection techniques include interviews and questionnaires. Result of this research are: 1) students use GenAI platforms such as ChatGPT, Claude, and Google Gemini as co-creators in various stages of research proposal writing, ranging from finding ideas, developing background, literature review, to proposal finalization; 2) Students have positive responses regarding the implementation of GenAI to assist students in writing research proposals. The positive responses are students feeling assisted in writing research proposals, students feeling confident and self-assured, students being able to write research proposals with better quality, and students having enough time to finish proposal. This research contributes to developing innovative learning that integrates artificial intelligence in education, while providing practical recommendations for educational institutions in adopting GenAI technology.

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References

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Published

26-11-2025

How to Cite

Martikasari, K., & Prasetyo, D. A. B. (2025). Implementation of generative artificial intelligence as co-creator to assist students in research proposal writing. Proceedings of International Conference on Research in Education, 1(1), 503-515. https://doi.org/10.24071/icre.v1i1.46

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