Academic Advising Systems: A Systematic Literature Review of Empirical Evidence

Iatrellis, Omiros; Kameas, Achilles; Fitsilis, Panos

doi:10.3390/educsci7040090

Cited by 49 publications

(28 citation statements)

References 39 publications

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“…These processes and procedures are multifaceted (Tam, 2010) and raise constant challenges to management and administration at different levels (Ibrahim, 2015) (Iatrellis, Kameas, & Fitsilis, 2019). From student's perspective, educational processes, especially those belonging to the higher educational sector, are acknowledged as complex and characterized by the plethora of academic choices, the local constraints, the student's needs and the dynamic nature of the defining personalized educational goals (Vizcarro & Vos, 2002) (Iatrellis, Kameas, & Fitsilis, 2017). Of course, process complexity is not unique in education.…”

Section: Literature Reviewmentioning

confidence: 99%

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Project Management in Education: A Case Study for Student Learning Pathway Evaluation in a Lifelong Learning Program Using Fuzzy CPM and Fuzzy PERT

Iatrellis¹,

Fitsilis²,

Lampakis³

et al. 2019

EJES

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Time to degree and graduation are paramount concerns in higher education today and have caught the attention of educators, policy makers, and researchers in recent years. Delays in student flow through learning pathways may result in undesired consequences and this fact has made educators and the public start to regard timely degree completion as a critical measure of accountability for colleges and universities. Project management is defined as application of techniques to project activities to meet the project requirements. It has techniques that can help Higher Educational Institutions (HEIs) standardize education and quality, reduce costs, improve effectiveness and decrease prolonged education periods. The current study is carried out in a University's Division of Lifelong Learning to understand the student flow of the offered program with respect to the Fuzzy Critical Path Method (FCPM) and Fuzzy Program Evaluation Review Technique (FPERT). The reason for incorporating fuzzy sets is stemmed from that fuzzy numbers are more effective for high uncertainty processes as in learning environments. Activities affecting student flow through the learning pathways are identified and project network is drawn. 72 student' data about the times of each activities are obtained from the observed university. Findings through application of FCPM and FPERT, the expected time for completion of the project, slack times and the critical path are determined.

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Section: Literature Reviewmentioning

confidence: 99%

“…Calculate β that means risk factor for each Aij with (6). 6) where t denotes the set of all actives and the number of actives in a project network, respectively. 6.…”

Section: Ns(j) = {K | Ajk ∈ S(j) K ∈ N} F(j)mentioning

confidence: 99%

Project Management in Education: A Case Study for Student Learning Pathway Evaluation in a Lifelong Learning Program Using Fuzzy CPM and Fuzzy PERT

Iatrellis¹,

Fitsilis²,

Lampakis³

et al. 2019

EJES

Self Cite

View full text Add to dashboard Cite

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“…The idea of [5] assists the Researcher on assessment of the current academic advising. It helps the proponent to visualize the flow of the current advising system and supports for helping analyze how to solve the problem.…”

Section: Review Of Related Literaturementioning

confidence: 99%

Course Evaluation Generator (Ceg): An Automated Academic Advising System with Optical Character Recognition

2018

Int. j. technol. eng. stud.

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This research aims to explain the requirements of constructing software intended for the teaching department of ACLC College of Butuan (ACB) to optimize the course selection process, lessen the academic advisor's time and effort, and give an accurate result in academic advising. Course Evaluation Generator (CEG) solved the issues encountered in course advising: incorrectness in crediting courses, manual automation in generating courses to offer, and manual evaluation of the remaining courses of a program. The CEG used Tesseract Optical Character Recognition (OCR) to read text from the academic transcript (TOR) by transforming the text into a digital image. To test the prototype constantly, this paper used the RAD approach in the development. The system was tested, deployed, and evaluated by the user respondents. Using the ISO 25010, the weighted mean for accuracy is 3.14 that user-respondents have strongly agreed to the correctness of generating courses to offer for a student. Even though the system itself has met the required functions and features using the Tesseract, the respondents and researchers suggest that more advanced machine learning should be integrated to enhance this study for future research.

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“…Many universities have an advising system or recommendation system, which employ guideline counsellors, people who are tasked with helping students making their choice, including developmental advising, helping them schedule the most suitable programs, assisting in career development, helping them in timely completion of their studies and student"s academic performance (Iatrellis, Kameas, &Fitsilis, 2017). Daramola, et al (2014) reported that some advisors hold too many students or are overloaded on advising students, in which they are supposed to accommodate a good outcome in terms of understanding, planning and applying strategies for academic success.…”

Section: Introductionmentioning

confidence: 99%

Embedding Crowd-Vote as Knowledge Source to Support Decision Making on University Program Selection

Ismail¹

2021

TURCOMAT

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Crowd-vote has implemented as a part of a university program recommendation system, complementing the aspect of knowledge management. The recommendation system is developed to support freshmen students’ decision making during program selection and uses for first time of enrolment. The challenges of decision-making among students is formed by many influential factors like family, agents, universities and others. Popular decision making models include rational, intuitive, among others. Rational models have series of sequential steps that involve a thinking process, while intuitive models are more on people experiences and recognition of the pattern based on what people believe and think how it will work. Other models attempt to combine both rational and intuitive aspects of decision. The challenge is foreseen in capturing experts’ opinion as part of students’ decision making, since experts are the good source of knowledge to strengthen the process. A prototype is developed for this purpose and constructive feedback from experts and students were collected to examine the significant use of crowd-vote using questionnaire survey. The objectives of this paper are to investigate the use of crowd-vote in leveraging decision making, and to evaluate the implementation of crowd-vote in supporting decision making during program selection. The results from expert opinions and students’ evaluation are discussed.

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Academic Advising Systems: A Systematic Literature Review of Empirical Evidence

Cited by 49 publications

References 39 publications

Project Management in Education: A Case Study for Student Learning Pathway Evaluation in a Lifelong Learning Program Using Fuzzy CPM and Fuzzy PERT

Project Management in Education: A Case Study for Student Learning Pathway Evaluation in a Lifelong Learning Program Using Fuzzy CPM and Fuzzy PERT

Course Evaluation Generator (Ceg): An Automated Academic Advising System with Optical Character Recognition

Embedding Crowd-Vote as Knowledge Source to Support Decision Making on University Program Selection

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