Academic Journal
SQUbot: Enhancing Student Support Through a Personalized Chatbot System.
| Τίτλος: | SQUbot: Enhancing Student Support Through a Personalized Chatbot System. |
|---|---|
| Συγγραφείς: | Nadir, Zia, Al Lawati, Hassan M., Mohammed, Rayees A., Al Subhi, Muna, Hossen, Abdulnasir |
| Πηγή: | Technologies (2227-7080); Sep2025, Vol. 13 Issue 9, p416, 24p |
| Θεματικοί όροι: | Chatbots, Educational support, Natural language processing, Bilingualism, Artificial intelligence, Academic support programs, Arabic language, Universities & colleges |
| Γεωγραφικοί όροι: | Oman |
| Εταιρία/Οντότητα: | International Business Machines Corp., Sultan Qaboos University |
| Περίληψη: | Educational institutions commonly receive numerous student requests regarding various services. Given the large population of students in a college, it becomes extremely overwhelming for the staff to address the inquiries of all the students while dealing with multiple administrative tasks at the same time. Furthermore, students often make multiple visits to the university's administration, make multiple calls, or write emails about their concerns, which makes it difficult to respond to their queries promptly. AI-powered chatbots can act as virtual assistants that promptly help students in addressing their simple and complex queries. Most of the research work has focused on chatbots supporting the English language, and significant improvement is needed for implementing chatbots in the Arabic language. Existing studies supporting the Arabic language have either employed rule-based models or built custom deep learning models for chatbots. Rule-based models lack understanding of diverse contexts, whereas custom-built deep learning models, besides needing huge datasets for effective training, are difficult to integrate with other platforms. In this work, we leverage the services offered by IBM Watson to develop a chatbot that assists university students in both English and Arabic. IBM Watson employs natural language understanding and deep learning techniques to build a robust dialog and offers a more scalable, integrable, and customizable solution for enterprises. The chatbot not only provides information about the university's general services but also customizes its response based on the individual needs of the students. The chatbot has been deployed at Sultan Qaboos University (SQU), Oman, and tested by the university's staff and students. User testing shows that the chatbot achieves promising results. This first bilingual AI chatbot at SQU supports English and Arabic and offers secure, personalized services via OTP and student email verification. SQUbot delivers both general and individualized academic support. Pilot testing showed 84.9% intent recognition accuracy. Most unidentified queries were due to dialectal variation or out-of-scope inputs, which were addressed through fallback prompts and dataset refinement. [ABSTRACT FROM AUTHOR] |
| Copyright of Technologies (2227-7080) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/technologies13090416 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 416 Subjects: – SubjectFull: Oman Type: general – SubjectFull: International Business Machines Corp. Type: general – SubjectFull: Sultan Qaboos University Type: general – SubjectFull: Chatbots Type: general – SubjectFull: Educational support Type: general – SubjectFull: Natural language processing Type: general – SubjectFull: Bilingualism Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Academic support programs Type: general – SubjectFull: Arabic language Type: general – SubjectFull: Universities & colleges Type: general Titles: – TitleFull: SQUbot: Enhancing Student Support Through a Personalized Chatbot System. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nadir, Zia – PersonEntity: Name: NameFull: Al Lawati, Hassan M. – PersonEntity: Name: NameFull: Mohammed, Rayees A. – PersonEntity: Name: NameFull: Al Subhi, Muna – PersonEntity: Name: NameFull: Hossen, Abdulnasir IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 22277080 Numbering: – Type: volume Value: 13 – Type: issue Value: 9 Titles: – TitleFull: Technologies (2227-7080) Type: main |
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