Adaptive multi‐agent smart academic advising framework
Abstract Academic advising is a crucial process in higher education and usually requires better understanding of student capabilities and curriculum structure to achieve its intended goals. Here, the authors propose a framework of integrated environment based on multi‐agents to automate the full pro...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-10-01
|
| Series: | IET Software |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/sfw2.12021 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832559588268834816 |
|---|---|
| author | Abdelaziz A. Abdelhamid Sultan R. Alotaibi |
| author_facet | Abdelaziz A. Abdelhamid Sultan R. Alotaibi |
| author_sort | Abdelaziz A. Abdelhamid |
| collection | DOAJ |
| description | Abstract Academic advising is a crucial process in higher education and usually requires better understanding of student capabilities and curriculum structure to achieve its intended goals. Here, the authors propose a framework of integrated environment based on multi‐agents to automate the full process of academic advising. The proposed framework consists of six agents namely, student agent, instructor agent, administrator agent, performance agent, schedule agent, and smart advisor agent. These agents are interacting together with the help of smart advisor agent, which manages the communication between them and provides smart advice based on machine learning techniques. In addition, the analysis of the proposed framework along with the deployment map is discussed by the authors. Moreover, a case study is presented in terms of a sample part of adaptive multi‐agent smart academic advising framework to demonstrate the workflow of the proposed approach. |
| format | Article |
| id | doaj-art-da2d44a192eb46c393e612fdada9fcca |
| institution | Kabale University |
| issn | 1751-8806 1751-8814 |
| language | English |
| publishDate | 2021-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Software |
| spelling | doaj-art-da2d44a192eb46c393e612fdada9fcca2025-02-03T01:29:44ZengWileyIET Software1751-88061751-88142021-10-0115529330710.1049/sfw2.12021Adaptive multi‐agent smart academic advising frameworkAbdelaziz A. Abdelhamid0Sultan R. Alotaibi1College of Computing & Information Technology Shaqra University Saudi ArabiaCollege of Computing & Information Technology Shaqra University Saudi ArabiaAbstract Academic advising is a crucial process in higher education and usually requires better understanding of student capabilities and curriculum structure to achieve its intended goals. Here, the authors propose a framework of integrated environment based on multi‐agents to automate the full process of academic advising. The proposed framework consists of six agents namely, student agent, instructor agent, administrator agent, performance agent, schedule agent, and smart advisor agent. These agents are interacting together with the help of smart advisor agent, which manages the communication between them and provides smart advice based on machine learning techniques. In addition, the analysis of the proposed framework along with the deployment map is discussed by the authors. Moreover, a case study is presented in terms of a sample part of adaptive multi‐agent smart academic advising framework to demonstrate the workflow of the proposed approach.https://doi.org/10.1049/sfw2.12021educational administrative data processinglearning (artificial intelligence)multi‐agent systems |
| spellingShingle | Abdelaziz A. Abdelhamid Sultan R. Alotaibi Adaptive multi‐agent smart academic advising framework IET Software educational administrative data processing learning (artificial intelligence) multi‐agent systems |
| title | Adaptive multi‐agent smart academic advising framework |
| title_full | Adaptive multi‐agent smart academic advising framework |
| title_fullStr | Adaptive multi‐agent smart academic advising framework |
| title_full_unstemmed | Adaptive multi‐agent smart academic advising framework |
| title_short | Adaptive multi‐agent smart academic advising framework |
| title_sort | adaptive multi agent smart academic advising framework |
| topic | educational administrative data processing learning (artificial intelligence) multi‐agent systems |
| url | https://doi.org/10.1049/sfw2.12021 |
| work_keys_str_mv | AT abdelazizaabdelhamid adaptivemultiagentsmartacademicadvisingframework AT sultanralotaibi adaptivemultiagentsmartacademicadvisingframework |