Mutammimul, Ula and Richki, Hardi and Irwandi, Hipiny (2023) An Improved Structure for Academic Information Services through AI Chatbots. Journal of Engineering Science and Technology Review, 16 (5). pp. 164-173. ISSN 1791-2377
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Abstract
Academic information service is the most critical factor that must be considered in a university. Service quality is an important indicator affecting all academics' satisfaction and loyalty. Improvement of information services on campus has been a lot of research focusing on academics. Meanwhile, the software aspect has received less attention. Researchers have previously discussed information service frameworks but have not accommodated future needs. Software that must be considered can quickly respond to the user, one of which is a chatbot. Chatbots can be used to solve problems related to question-and-answer services, especially for academic institutions that do not have specific resources to handle this work. With chatbots, redundant user questions can be handled automatically. Chatbots are increasingly being offered as an alternative source of customer service. For a user to use a chatbot for this purpose, the user must trust the chatbot to provide the necessary support. To overcome this knowledge gap, a framework can integrate software, stakeholders, and academics in higher education. Therefore it is necessary to conduct new research to help answer future needs.
Item Type: | Article |
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Uncontrolled Keywords: | AI chatbot, reliability, academic services, technology influence, artificial intelligence conversations, framework. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
Depositing User: | Mohamad Hipiny |
Date Deposited: | 21 Nov 2023 01:27 |
Last Modified: | 21 Nov 2023 01:27 |
URI: | http://ir.unimas.my/id/eprint/43410 |
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