WS-ADVISING: a Reusable and reconfigurable microservices‐based platform for effective academic advising

被引:0
作者
Maha Driss
机构
[1] University of Manouba,RIADI Laboratory, National School of Computer Sciences
[2] Taibah University,IS Department, College of Computer Science and Engineering
来源
Journal of Ambient Intelligence and Humanized Computing | 2022年 / 13卷
关键词
Academic Advising; Reusable; Reconfigurable; Microservices;
D O I
暂无
中图分类号
学科分类号
摘要
Academic advising is essential for students’ success at the university level. This paper proposes a reusable and reconfigurable microservices-based platform called WS-ADVISING as a means of supporting effective academic advising efforts. WS-ADVISING will address several weaknesses related to the traditional academic advising process by offering enhanced and value-added online services that have proven beneficial for both advisors and students. These services will help advisors to better manage their large quotas of students while also helping students follow their academic plans more accurately and efficiently. WS-ADVISING has been developed and tested as an independent platform used to improve existing features offered by the Taibah University e-portal. In order to evaluate user satisfaction, two questionnaires were circulated among 200 undergraduate students and 36 advisors: the first collected an overview of users’ perceptions of advising features currently offered by the Taibah University e-portal, while the second assessed the usability of the proposed WS-ADVISING platform. More than 77% of users surveyed stated that they were satisfied with WS-ADVISING and rated it as “effective”; meanwhile, over 81% also stated that they considered this platform an efficient solution for improved academic advising.
引用
收藏
页码:283 / 294
页数:11
相关论文
共 39 条
  • [1] Atitallah SB(2020)Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions Comput Sci Rev 38 100303-59339
  • [2] Driss M(2020)Servicing your requirements: an FCA and RCA-driven approach for semantic web services composition IEEE Access 8 59326-94
  • [3] Boulila W(2011)A web-based decision support tool for academic advising J Educ Technol Soc 14 82-243
  • [4] Ghézala HB(2020)A microservices e-Health system for ecological frailty assessment using wearables Sensors 20 3427-349
  • [5] Driss M(2015)AdviseMe: an intelligent web-based application for academic advising Int  J Adv Comput Sci Appl 6 233-187990
  • [6] Aljehani A(2014)Design and development of an academic advising system for improving retention and graduation Issues  Inf Syst 15 344-439
  • [7] Boulila W(2020)Secure edge computing management based on independent microservices providers for gateway-centric IoT networks IEEE Access 8 187975-367
  • [8] Ghandorh H(2019)Clustering-based and QoS-aware services composition algorithm for ambient intelligence Inf Sci 482 419-136
  • [9] Al-Sarem M(2015)A new framework for e academic advising Proc Comput Sci 65 358-57
  • [10] Feghali T(2011)Developing models for online academic advising: functions, tools and organisation of the advising system in a virtual university Int J Technol Enhanced Learn 3 124-undefined