Electrical engineering department advising for course planning

Laghari, Mohammad Shakeel; Khuwaja, Gulzar A.

doi:10.1109/educon.2012.6201148

Cited by 12 publications

(8 citation statements)

References 8 publications

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“…Customizing the study plan is depend on the course selection criterion. Some systems allow students to request only courses for which they have appropriate prerequisites and co-requisites [17]. In the others, the courses are suggested based on balancing the course load, frequency of the course offering, shortening the path length to graduation, students' preferences and their progress in the program [18], [19].…”

Section: Related Workmentioning

confidence: 99%

Solving Course Selection Problem by a Combination of Correlation Analysis and Analytic Hierarchy Process

Al-Sarem¹

2017

IJECE

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<p>In the universities where students have a chance to select and enroll in a particular course, they require special support to avoid the wrong combination of courses that might lead to delay their study. Analysis shows that the students' selection is mainly influenced by list of factors which we categorized them into three groups of concern: course factors, social factors, and individual factors. This paper proposed a two-phased model where the most correlated courses are generated and prioritized based on the student preferences. At this end, we have applied the multi-criteria analytic hierarchy process (MC-AHP) in order to generate the optimum set of courses from the available courses pool. To validate the model, we applied it to the data from students of the Information System Department at Taibah University, Kingdom of Saudi Arabia. </p>

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Section: Related Workmentioning

confidence: 99%

Solving Course Selection Problem by a Combination of Correlation Analysis and Analytic Hierarchy Process

Al-Sarem¹

2017

IJECE

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“…An improved version of the SAS was developed to better suit the student needs. The system has an improved GUI with more help menus [3].…”

Section: Alternate Planning and Advising Systemsmentioning

confidence: 99%

“…Field-2: indicates the number of forward hierarchal levels. Courses ELEC XXX (1,2,3,4,5,6) 1: the course is needed / not needed for IT 2: how many hierarchical levels from this course 3: how many courses are opened in the next level 4: how many courses are opened overall 5: this course opens how many electives 6: the course is offered in 1 st or 2 nd or both semesters Similar to the above-described course example, all program courses are appended with the six fields based on the hierarchal chart (Fig. 2).…”

Section: The Kbcps Software Packagementioning

confidence: 99%

Knowledge Based Course Planning System for EE Students at UAE University

Laghari¹

2016

JCP

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Student course planning and advising at most at all universities is an important process to ensure students to fulfill the degree requirements of the university in a structured way and without encountering unnecessary and lengthy delays. United Arab Emirates University (UAEU) is one such institution where student register courses with one of the most advanced and adequate registration systems however; students have faced problems because of a need of a proper advising system as well as a need of seeking proper advising. A Knowledge Based Course Planning System (KBCPS) software package is devised to suit the course planning needs of the Electrical Engineering Department, UAEU. The software is developed by using the Java computer programming language. The system guide students in selecting the most suitable from five to seven courses to register in the next and subsequent semesters. The outcome of the course selections for the next and all the remaining semesters is stored in a file to help students with the registration system.

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“…One crucial issue in this category that authors attempt to address is how to propose careful recommendations for different courses according to students' goals and preferences. More specifically, the authors seek to prepare course lists that satisfy several student and university constraints, some of which depend on individual student cases [2,5,6,22,24,27,28,50]. In some case studies, authors choose to apply computational, intelligence-based algorithms to reach a degree of automatic advising by combining genetic algorithms with decision trees for developing the short-term curricular schedule, as well as by combining perception marks with the registered courses [41] or by assisting in data mining and intelligent adaptive fuzzy logic for implementing an elective course suggestion system [44].…”

Section: Selecting Coursesmentioning

confidence: 99%

Academic Advising Systems: A Systematic Literature Review of Empirical Evidence

2017

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This paper aims to provide the reader with a comprehensive background for understanding current knowledge on Academic Advising Systems (AAS) and its impact on learning. It constitutes an overview of empirical evidence behind key objectives of the potential adoption of AAS in generic educational strategic planning. The researchers examined the literature on experimental case studies conducted in the domain during the past ten years (2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017). Search terms identified 98 mature pieces of research work, but inclusion criteria limited the key studies to 43. The authors analyzed the research questions, methodology, and findings of these published papers and categorized them accordingly. The results have highlighted three distinct major directions of the AAS empirical research. This paper discusses the emerged added value of AAS research and highlights the significance of further implications. Finally, the authors set their thoughts on possible uncharted key questions to investigate both from pedagogical and technical considerations.

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Electrical engineering department advising for course planning

Cited by 12 publications

References 8 publications

Solving Course Selection Problem by a Combination of Correlation Analysis and Analytic Hierarchy Process

Solving Course Selection Problem by a Combination of Correlation Analysis and Analytic Hierarchy Process

Knowledge Based Course Planning System for EE Students at UAE University

Academic Advising Systems: A Systematic Literature Review of Empirical Evidence

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