An Online Knowledge-Based Support System

Technology advances have touched all the fields of human life, and the educational system is not an exception. Students in Nigerian universities experience challenges in their early or later stages of school due to a lack of a knowledge-based support system. This results in massive failure and confusion in later days in school. A knowledge-based online support system has been developed and implemented in this paper to improve academic support services for students and faculty members in the university. The need for such a support system stems from the various academic problems that the students often experience, including a lack of answers to certain questions, which can result in academic failure, taking too long to graduate, or dropping out of the university altogether. The system is web-based; therefore, users can access the necessary information when needed, and, in most cases, it solves common academic issues in a short time using the web. Following the Agile software development methodology and employing a client-server architecture, the system was designed in a user-friendly and efficient manner. Highlights of the system include an extensive database of FAQs, real-time interactive services, and multi-typed query handling. Testing phases were performed and integrated, and modular testing showed that the system worked as intended, providing valid inputs and also flagging any invalid inputs without causing the system failures, and performing provisions for user corrections. The results suggest that the online support system could enhance the academic environment at AE-FUNAI and therefore would benefit students and staff members alike. Nevertheless, certain limitations still prevail, such as poor internet access, which calls for constant enhancement and provision of support to the system.

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Publication Details

Journal
International Journal Papier Public Review
Published
2024-11-26
DOI
https://doi.org/10.47667/ijppr.v5i4.328
Citations
6
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
2.08
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An Online Knowledge-Based Support System

Samuel Ajayi, Lucky Ehizojie, Daniel Okoro Ukah, Doris Nnakwuzie et al.
6 citations
International Journal Papier Public Review
Intelligent Tutoring Systems and Adaptive Learning
2.08
article

An Online Knowledge-Based Support System

Samuel Ajayi, Lucky Ehizojie, Daniel Okoro Ukah, Doris Nnakwuzie, Emmanuel Segun Shokenu, Abiodun Sojobi
article en
6 citations

Abstract

Technology advances have touched all the fields of human life, and the educational system is not an exception. Students in Nigerian universities experience challenges in their early or later stages of school due to a lack of a knowledge-based support system. This results in massive failure and confusion in later days in school. A knowledge-based online support system has been developed and implemented in this paper to improve academic support services for students and faculty members in the university. The need for such a support system stems from the various academic problems that the students often experience, including a lack of answers to certain questions, which can result in academic failure, taking too long to graduate, or dropping out of the university altogether. The system is web-based; therefore, users can access the necessary information when needed, and, in most cases, it solves common academic issues in a short time using the web. Following the Agile software development methodology and employing a client-server architecture, the system was designed in a user-friendly and efficient manner. Highlights of the system include an extensive database of FAQs, real-time interactive services, and multi-typed query handling. Testing phases were performed and integrated, and modular testing showed that the system worked as intended, providing valid inputs and also flagging any invalid inputs without causing the system failures, and performing provisions for user corrections. The results suggest that the online support system could enhance the academic environment at AE-FUNAI and therefore would benefit students and staff members alike. Nevertheless, certain limitations still prevail, such as poor internet access, which calls for constant enhancement and provision of support to the system.

International Journal Papier Public ReviewVol. 5(4)
British School at Rome (IT), University of Lagos (NG), African Institute of Science and Technology (NG), Alex Ekwueme Federal University, Ndufu-Alike, Texas Southern University (US)
Openalex Percentile: Top 11%
Intelligent Tutoring Systems and Adaptive Learning
2.08
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