Virtual tutor with ChatGPT for self-learning of students with conditional enrollment in the Professional School of Computer Engineering and Systems - UNAMBA

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Published: Apr 16, 2025
DOI: https://doi.org/10.57166/riqchary.v7.n1.2025.133
Keywords:
Artificial intelligence, ChatGPT, tutor, self-learning, conditional enrollment

Main Article Content

Francisco Cari-Incahuanaco
Universidad Micaela Bastidas de Apurímac
https://orcid.org/0000-0002-2807-0495
Alejandrina Huaylla-Quispe
Micaela Bastidas University of Apurímac
https://orcid.org/0000-0002-7118-6477
Rafael R. Quispe-Merma
Micaela Bastidas University of Apurímac
https://orcid.org/0000-0002-8980-4560
Maritza Condori-Quispe
UGEL Abancay-Apurímac, Pe
https://orcid.org/0009-0000-6890-5453

Abstract

Artificial intelligence (AI) has significantly transformed education, being a key tool for self-learning. The objective of this research is to determine the contribution of the ChatGPT virtual tutor in the self-learning process of students with conditional enrollment in the Professional School of Computer and Systems Engineering of the Universidad Nacional Micaela Bastidas de Apurímac. The study was conducted with 36 students during the 2023-II academic semester, using a pre-experimental design. The experimental group was properly instructed on the use of the ChatGPT virtual tutor in the self-learning process, and then a survey was conducted. The analysis of the data showed that 75% of the students passed the academic semester, evidencing a significant improvement in academic performance. According to the surveys, 80% of the students indicated that the ChatGPT virtual tutor improved self-learning. The surveys processed and evaluated by means of the Rho Spearman test, yielded a correlation coefficient of 0.533, confirming a positive relationship between the use of the ChatGPT virtual tutor and self-learning. In conclusion, the research validates that the ChatGPT virtual tutor is an effective tool to strengthen students' self-learning.

Article Details

How to Cite
Virtual tutor with ChatGPT for self-learning of students with conditional enrollment in the Professional School of Computer Engineering and Systems - UNAMBA. (2025). C&T Riqchary Science and Technology Research Magazine, 7(1), 35-41. https://doi.org/10.57166/riqchary.v7.n1.2025.133
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Vol. 7 No. 1 (2025): 5G at the dawn of 6G
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Artículos
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Author Biographies

Francisco Cari-Incahuanaco, Universidad Micaela Bastidas de Apurímac

Master's degree in University Research and Teaching, Statistical and Computer Engineering with a minor in Systems Engineering. He has experience in university teaching and is currently a full professor at the Micaela Bastidas National University of Apurímac, developing research courses.

Alejandrina Huaylla-Quispe, Micaela Bastidas University of Apurímac

Systems and Computer Engineer, Master's degree in Public Management from Cesar Vallejo University, Graduate of the Master's degree in Investment Projects from the Technological University of the Andes, contracted professor assigned to the Engineering Department, Professional Academic School of Computer and Systems Engineering of the Micaela Bastidas National University of Apurímac.

Rafael R. Quispe-Merma, Micaela Bastidas University of Apurímac

Full Professor in the Assistant category at the Micaela Batidas National University of Apurímac, Peru. He holds a Master's degree in Education with a focus on Educational Administration, and a doctoral degree in Computer Science from UNA Peru. Research areas include software engineering, mobile computing, and knowledge management.

Maritza Condori-Quispe, UGEL Abancay-Apurímac, Pe

Bachelor of Education with postgraduate studies in university teaching, professor at the Micael Bastidas National University of Apurímac and teacher of regular basic education in the area of ​​science and technology

How to Cite

Virtual tutor with ChatGPT for self-learning of students with conditional enrollment in the Professional School of Computer Engineering and Systems - UNAMBA. (2025). C&T Riqchary Science and Technology Research Magazine, 7(1), 35-41. https://doi.org/10.57166/riqchary.v7.n1.2025.133
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