Personalized AI in Higher Education: Development and Evaluation of a Course-Specific Chatgpt Tutor

The integration of artificial intelligence into education has opened new avenues for personalized and widespread learning assistance. This paper focuses on the design and development of a custom ChatGPT tailored for tertiary education settings. The main objective is to investigate how generative AI customized to align with subject materials, intended outcomes, and how to actively involve learners can be of benefit. For this study, a special chatbot was built with OpenAI’s GPT framework to work as a tutor available at any time for the subject International Business (IBUS 201D). The design and testing of this ChatGPT tutor followed a Design Science Research method. A quantitative study was done conducted with 35 undergraduate students, using a pre–post-test to see the effectiveness of new developed GPT for the specific subject. The findings show that this type of ChatGPT tutor can be a helpful support alongside normal teaching. The results indicate that the custom ChatGPT tutor can be a meaningful addition to traditional teaching methods.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Applied Science
Published
2025-01-01
DOI
https://doi.org/10.51584/ijrias.2025.100800110
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Personalized AI in Higher Education: Development and Evaluation of a Course-Specific Chatgpt Tutor

Navaratnam Vejaratnam, Theepa Paramasivam, Shri Dayalam James Batumalay, Shamuni Kunjiapu et al.
International Journal of Research and Innovation in Applied Science
Artificial Intelligence in Healthcare and Education
article

Personalized AI in Higher Education: Development and Evaluation of a Course-Specific Chatgpt Tutor

Navaratnam Vejaratnam, Theepa Paramasivam, Shri Dayalam James Batumalay, Shamuni Kunjiapu, Rajennd Muniady
article en

Abstract

The integration of artificial intelligence into education has opened new avenues for personalized and widespread learning assistance. This paper focuses on the design and development of a custom ChatGPT tailored for tertiary education settings. The main objective is to investigate how generative AI customized to align with subject materials, intended outcomes, and how to actively involve learners can be of benefit. For this study, a special chatbot was built with OpenAI’s GPT framework to work as a tutor available at any time for the subject International Business (IBUS 201D). The design and testing of this ChatGPT tutor followed a Design Science Research method. A quantitative study was done conducted with 35 undergraduate students, using a pre–post-test to see the effectiveness of new developed GPT for the specific subject. The findings show that this type of ChatGPT tutor can be a helpful support alongside normal teaching. The results indicate that the custom ChatGPT tutor can be a meaningful addition to traditional teaching methods.

International Journal of Research and Innovation in Applied Science
Openalex Percentile: Top 81%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Personalized AI in Higher Education: Development and Evaluation of a Course-Specific Chatgpt Tutor — Navaratnam Vejaratnam, Theepa Paramasivam, et al. · International Journal of Research and Innovation in Applied Science (2025) | TGRS Research Map | TGRS