Chatbot for university related FAQs
Abstract
Chatbots are programs that mimic human conversation using Artificial Intelligence (AI). It is designed to be the ultimate virtual assistant, entertainment purpose, helping one to complete tasks ranging from answering questions, getting driving directions, turning up the thermostat in smart home, to playing one's favorite tunes etc. Chatbot has become more popular in business groups right now as they can reduce customer service cost and handles multiple users at a time. But yet to accomplish many tasks there is need to make chatbots as efficient as possible. To address this problem, in this paper we provide the design of a chatbot, which provides an efficient and accurate answer for any query based on the dataset of FAQs using Artificial Intelligence Markup Language (AIML) and Latent Semantic Analysis (LSA). Template based and general questions like welcome/ greetings and general questions will be responded using AIML and other service based questions uses LSA to provide responses at any time that will serve user satisfaction. This chatbot can be used by any University to answer FAQs to curious students in an interactive fashion.
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Most chatbot-based academic advising systems are designed with an emphasis on functionality and accuracy rather than an interpersonal communication style.
“within the context of academic advising, most chatbot-based academic advising systems, e.g., refs.[15,16] are designed with an emphasis on functionality and accuracy rather than an interpersonal communication style, which is essential in building trust and relationships.”
From Interacting with a Chatbot-Based Advising System: Understanding the Effect of Chatbot Personality and User Gender on Behavior (2022) · cites this paper as [16]
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Koumaras, V., Foteas, A., Papaioannou, A., Kapari, M., Sakkas, C., & Koumaras, H. G. (2018) · IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) · doi:10.1109/camad.2018.8515004 · Cited by 19 · see citing works
Survey on dialogue systems including slavic languages
Wołk, K., Wołk, A., Wnuk, D. C., Grześ, T., & Skubis, I. (2021) · Neurocomputing · doi:10.1016/j.neucom.2021.11.076 · Cited by 20 · see citing works
Conversational Agents for Information Retrieval in the Education Domain
Schmitt, A., Wambsganß, T., & Leimeister, J. M. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3555587 · Cited by 19 · see citing works
An Improved Rapid Response Model for University Admission Enquiry System Using Chatbot
Gbenga, O., Okedigba, T. O., & Aworinde, H. O. (2020) · International Journal of Computer (IJC) · Cited by 18 · see citing works
Components of Smart Chatbot Academic Model for a University Website
Pi, S. N. M. S., & Majid, M. B. A. (2020) · Emerging Technology in Computing, Communication and Electronics (ETCCE) · doi:10.1109/etcce51779.2020.9350903 · Cited by 18 · see citing works
Wang, X. E., Liang, T., Li, J., Roy, S., Pandey, V., Du, Y., & Kong, J. (2021) · International Journal of E-Health and Medical Communications · doi:10.4018/ijehmc.293285 · Cited by 18 · see citing works
FLOSS FAQ chatbot project reuse
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Cognitive technology model to enhanced academic support services with chatbots
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Bodonhelyi, A., Thaqi, E., Özdel, S., Bozkir, E., & Kasneci, E. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713513 · Cited by 18 · see citing works
Dexter the College FAQ Chatbot
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A Chatbot as a Support System for Educational Institutions
Villanueva, D. P. P., & Aguilar-Alonso, I. (2021) · International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS) · doi:10.1109/itms52826.2021.9615271 · Cited by 16 · see citing works
- Authors
- Ranoliya, B. R., Raghuwanshi, N., & Singh, S.
- Affiliations
- Manipal Academy of Higher Education (IN)
- ORCID
- Singh, Sanjay
- Venue
- 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
- Publisher
- IEEE
- Published
- 2017-09
- Pages
- 1525-1530
- OpenAlex
- W2772103329
- Cited by
- 425
- References
- 8
- Citations by year
- 2026: 18 · 2025: 44 · 2024: 76 · 2023: 71 · 2022: 76 · 2021: 47 · 2020: 34 · 2019: 48 · 2018: 11
- FWCI
- 11.60
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Advances in Computing, Communications and Informatics (ICACCI) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- chatbots, frequently asked questions, university information, AIML, latent semantic analysis, question answering, virtual assistants, student information services
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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