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StuA: An Intelligent Student Assistant
Open accessAbstract
With advanced innovation in digital technology, demand for virtual assistants is arising which can assist a person and at the same time, minimize the need for interaction with the human. Acknowledging the requirement, we propose an interactive and intelligent student assistant, StuA, which can help new-comer in a college who are hesitant in interacting with the seniors as they fear of being ragged. StuA is capable of answering all types of queries of a new-comer related to academics, examinations, library, hostel and extra curriculum activities. The model is designed using CLIPS which allows inferring using forward chaining. Nevertheless, a generalized algorithm for backward chaining for CLIPS is also implemented. Validation of the proposed model is presented in five steps which show that the model is complete and consistent with 99.16% accuracy of the knowledge model. Moreover, the backward chaining algorithm is found to be 100% accurate.
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“The authors conceptualise AI as intelligent computer systems or intelligent agents with human features, such as the ability to memorise knowledge, to perceive and manipulate their environment in a similar way as humans, and to understand human natural language (see Huang, 2018;Lodhi, Mishra, Jain, & Bajaj, 2018;Welham, 2008).”
From Systematic review of research on artificial intelligence applications in higher education – where are the educators? (2019) · cites this paper as Lodhi, Mishra, Jain, & Bajaj, 2018
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Cited by
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-019-0171-0 · Cited by 7,242
Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S. W., & Siemens, G. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00436-z · Cited by 852
“…academic advising, where students are provided with individualised guidance and educational planning, and Zawacki-Richter et al. (2019) reported examples of AI to support university career services, including an interactive intelligent tutor to assist new students (see Lodhi et al., 2018).”
BackgroundAI-based Academic Advising Framework: A Knowledge Management Perspective
Bilquise, G., & Shaalan, K. (2022) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2022.0130823 · Cited by 48
Metadata
- Authors
- Lodhi, P., Mishra, O., Jain, S., & Bajaj, V.
- Affiliations
- Jaypee Institute of Information Technology (IN)
- ORCID
- Jain, Shikha
- Venue
- International Journal of Interactive Multimedia and Artificial Intelligence
- Published
- 2018-09-01
- Volume
- 5
- Issue
- 2
- Pages
- 17-25
- ISSN
- 1989-1660 (ISSN-L)
- OpenAlex
- W2791646186
- Cited by
- 27
- References
- 0
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 3 · 2023: 1 · 2022: 5 · 2021: 4 · 2020: 4 · 2019: 2 · 2018: 2
- FWCI
- 1.69
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- public-domain
- Locations
- International Journal of Interactive Multimedia and Artificial Intelligence (publishedVersion, public-domain)
- Dialnet (Universidad de la Rioja) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Re-Unir (International University of La Rioja) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Edcuational Technology Systems
- Social Sciences › Education › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- virtual assistants, first-year college students, forward chaining, backward chaining, knowledge base
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