IJIET 2025 Vol.15(6): 1134-1143
doi: 10.18178/ijiet.2025.15.6.2316
doi: 10.18178/ijiet.2025.15.6.2316
Development of an AI-Powered System for Thesis Advisor Consultations
Sawanan Dangprasert* and Parwapun Kamtab
Education Technology and Information Science Department, Faculty of Technical Education, King Mongkut’s University of Technology
North Bangkok, Thailand
Email: sawanan.d@fte.kmutnb.ac.th (S.D.); parwapun.k@fte.kmutnb.ac.th (P.K.)
*Corresponding author
Email: sawanan.d@fte.kmutnb.ac.th (S.D.); parwapun.k@fte.kmutnb.ac.th (P.K.)
*Corresponding author
Manuscript received November 22, 2024; revised January 18, 2025; accepted February 11, 2025; published June 10, 2025
Abstract—This research highlights the creation and assessment of an AI-powered system for thesis advisor consultations, aiming to enhance the academic advisory process for graduate students. The system delivers efficient, accessible, customized support in essential areas such as research design, literature review, research tool development, and statistical analysis. Evaluation results revealed that the system achieved a “Very Good” rating across key metrics, including functionality, accuracy, usability, performance, and security, with an overall average score of 4.76. Quantitative assessments of thesis progress among 42 graduate students demonstrated significant improvements, particularly in research tool development and quality assessment, with 88–95% achieving “Good” progress. Qualitative feedback highlighted the system’s strengths in clarifying research objectives, guiding hypothesis formulation, and facilitating data analysis. Furthermore, a strong positive correlation (r = 0.608, p < 0.001) between research knowledge and thesis progress underscores the system’s effectiveness in fostering academic growth. While no significant differences were observed in research knowledge among students with varying experience levels, the system showcased its ability to provide equitable support. These findings highlight the transformative potential of AI in academic advisory processes, offering reliable and accessible consultation services. Future development efforts will aim to enhance the system’s capabilities in statistical analysis to meet advanced research needs better.
Keywords—thesis consultation, thesis progress, artificial intelligence, research knowledge development, digital technology
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Keywords—thesis consultation, thesis progress, artificial intelligence, research knowledge development, digital technology
Cite: Sawanan Dangprasert and Parwapun Kamtab, "Development of an AI-Powered System for Thesis Advisor Consultations," International Journal of Information and Education Technology, vol. 15, no. 6, pp. 1134-1143, 2025.
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).