University course advising: Overcoming the challenges using decision support system

Academic Advising Systems: A Systematic Literature Review of Empirical Evidence

“…Many HEI offer AAS designed to help students and their academic advisors recommend learning resources and review degree requirements and the student's progress towards the intended degree. However, existing advising support software tools can augment the student-advisor relationship, but cannot and should not replace in-person advising [6,8,16,18,58]. This is the point at which learning science, psychology, pedagogy, and computer science intersect.…”

“…More importantly, because the number and variety (in backgrounds, in knowledge, in goals) of students is expanding rapidly, it is more and more important to tailor course sequences to students, since the same learning pathway is unlikely to best serve all students [16,17,23,25]. For example, the system described in [15] implicitly implements, via the decision tree, many academic rules and allows a systematic and exhaustive browse of the different student plan instances, and it permits a methodological assessment and measurement of the appropriateness of a given student academic plan.…”

Fuzzy-based Adaptive Framework for Module Advising Expert System

“…Developing such systems aims to minimize the demand for human advisors and gives them more time to focus on other important advising tasks including career development and financial issues. [12][13][14][15][16].…”

“…There has been significant research effort in applying information technology for module advising. Roushan et al [15] introduced an Internet-based approach to support the module-advising process which integrated the process of advising with the enrolment taking into account the constraints of the program plan and the university policy. However, the system did not replace the human academic-advisor but rather facilitated the advisor role by providing an automated tool for www.aetic.theiaer.org communication and information exchange.…”

A semantic enhanced framework for modeling and executing self-evolving educational and business processes towards personalized learning in higher education

“…Authors & Year (Paper Ref.) Content-based (Mostafa et al, 2014), (Deline, G., Lin, F., Wen, D., & Gasevic, 2007), (Poeppelmann, 2011) Collaborative filtering-based (Chang et al, 2016), (Unelsrød, 2011), (Dhabi & Advisor, 2012, (Li, 2015) Knowledge-based , (Xu, Xing, Member, & Schaar, 2016), (Werghi, Naoufel, & Kamoun, 2009), (Roushan et al, 2014), (Ai-nory, 2012), (Mohamed, 2015), , (Kristiansen, Sørensen, & Stidsen, 2011), (Engin et al, 2014, (Henderson & Goodridge, 2015), Omiros Iatrellis, A Semantic Enhanced Framework for Modeling and Executing Self-evolving Educational and Business Processes towards Personalized Learning in Higher Education (Mohamed, 2016), (Feghali, Zbib, & Hallah, 2011), (Prof & Shakeel, 2012), (Hashemi & Blondin, 2010), (Laghari & Khuwaja, 2012), (Ahmar, 2011), (Aslam & Khan, 2011), (Naini, Sadasivam, & Tanik, 2008), (Albalooshi & Shatnawi, 2010), (Zhou & Yu, 2008), (Al-ghamdi et., 2012), (Nambiar & Dutta, 2010), (Nguyen, Hoang, Tran, Nguyen, & Nguyen, 2008), Hybrid (Deorah, Sridharan, & Goel, 2010), (Daramola, Emebo, Afolabi, & Ayo, 2014), (Sobecki & Tomczak, 2010), (Ragab, Mashat, & Khedra, 2012), (Lee & Cho, 2011),…”