AI-based Academic Advising Framework: A Knowledge Management Perspective
Academic advising has become a critical factor of students’ success as universities offer a variety of programs and courses in their curriculum. It is a student-centered initiative that fosters a student’s involvement with the institution by supporting students in their academic progression and care...
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2022
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| Online Access: | https://bspace.buid.ac.ae/handle/1234/3021 https://doi.org/10.14569/IJACSA.2022.0130823. |
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| _version_ | 1862980610876768256 |
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| author | Bilquise, Ghazala |
| author2 | Shaalan, Khaled |
| author2_role | author |
| author_facet | Bilquise, Ghazala Shaalan, Khaled |
| author_role | author |
| dc.creator.none.fl_str_mv | Bilquise, Ghazala Shaalan, Khaled |
| dc.date.none.fl_str_mv | 2022 2025-05-14T10:07:48Z 2025-05-14T10:07:48Z |
| dc.identifier.none.fl_str_mv | Bilquise, G. and Shaalan, K. (2022) “AI-based Academic Advising Framework: A Knowledge Management Perspective,” International Journal of Advanced Computer Science and Applications, 13(8), p. n/a. 2158-107X, 2156-5570 https://bspace.buid.ac.ae/handle/1234/3021 https://doi.org/10.14569/IJACSA.2022.0130823. |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | (IJACSA) International Journal of Advanced Computer Science and Applications, |
| dc.relation.none.fl_str_mv | International Journal of Advanced Computer Science and Applicationsv13 n8 (2022): n/a |
| dc.subject.none.fl_str_mv | Knowledge management; artificial intelligence; academic advising; rule-based expert system; machine learning; chatbot; conversational agent |
| dc.title.none.fl_str_mv | AI-based Academic Advising Framework: A Knowledge Management Perspective |
| dc.type.none.fl_str_mv | Article |
| description | Academic advising has become a critical factor of students’ success as universities offer a variety of programs and courses in their curriculum. It is a student-centered initiative that fosters a student’s involvement with the institution by supporting students in their academic progression and career goals. Managing the knowledge involved in the advising process is crucial to ensure that the knowledge is available to those who need it and that it is used effectively to make good advising decisions that impact student persistence and success. The use of AI-based tools strengthens the advising process by reducing the workload of advisors and providing better decision support tools to improve the advising practice. This study explores the challenges associated with the current advising system from a knowledge management perspective and proposes an integrated AI-based framework to tackle the main advising tasks. |
| id | budr_a180e69821ad4b08f6f2ecb2f0980dba |
| identifier_str_mv | Bilquise, G. and Shaalan, K. (2022) “AI-based Academic Advising Framework: A Knowledge Management Perspective,” International Journal of Advanced Computer Science and Applications, 13(8), p. n/a. 2158-107X, 2156-5570 |
| language_invalid_str_mv | en |
| network_acronym_str | budr |
| network_name_str | The British University in Dubai repository |
| oai_identifier_str | oai:bspace.buid.ac.ae:1234/3021 |
| publishDate | 2022 |
| publisher.none.fl_str_mv | (IJACSA) International Journal of Advanced Computer Science and Applications, |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | AI-based Academic Advising Framework: A Knowledge Management PerspectiveBilquise, GhazalaShaalan, KhaledKnowledge management; artificial intelligence; academic advising; rule-based expert system; machine learning; chatbot; conversational agentAcademic advising has become a critical factor of students’ success as universities offer a variety of programs and courses in their curriculum. It is a student-centered initiative that fosters a student’s involvement with the institution by supporting students in their academic progression and career goals. Managing the knowledge involved in the advising process is crucial to ensure that the knowledge is available to those who need it and that it is used effectively to make good advising decisions that impact student persistence and success. The use of AI-based tools strengthens the advising process by reducing the workload of advisors and providing better decision support tools to improve the advising practice. This study explores the challenges associated with the current advising system from a knowledge management perspective and proposes an integrated AI-based framework to tackle the main advising tasks.(IJACSA) International Journal of Advanced Computer Science and Applications,2025-05-14T10:07:48Z2025-05-14T10:07:48Z2022ArticleBilquise, G. and Shaalan, K. (2022) “AI-based Academic Advising Framework: A Knowledge Management Perspective,” International Journal of Advanced Computer Science and Applications, 13(8), p. n/a.2158-107X, 2156-5570https://bspace.buid.ac.ae/handle/1234/3021https://doi.org/10.14569/IJACSA.2022.0130823.enInternational Journal of Advanced Computer Science and Applicationsv13 n8 (2022): n/aoai:bspace.buid.ac.ae:1234/30212025-05-14T10:10:44Z |
| spellingShingle | AI-based Academic Advising Framework: A Knowledge Management Perspective Bilquise, Ghazala Knowledge management; artificial intelligence; academic advising; rule-based expert system; machine learning; chatbot; conversational agent |
| title | AI-based Academic Advising Framework: A Knowledge Management Perspective |
| title_full | AI-based Academic Advising Framework: A Knowledge Management Perspective |
| title_fullStr | AI-based Academic Advising Framework: A Knowledge Management Perspective |
| title_full_unstemmed | AI-based Academic Advising Framework: A Knowledge Management Perspective |
| title_short | AI-based Academic Advising Framework: A Knowledge Management Perspective |
| title_sort | AI-based Academic Advising Framework: A Knowledge Management Perspective |
| topic | Knowledge management; artificial intelligence; academic advising; rule-based expert system; machine learning; chatbot; conversational agent |
| url | https://bspace.buid.ac.ae/handle/1234/3021 https://doi.org/10.14569/IJACSA.2022.0130823. |