Decision support system for the selection of students for Erasmus+ short-term mobility

Teixeira, J. A.; Alves, Sandro; Mariz, Pedro; Almeida, Fernando

doi:10.1108/ijem-03-2022-0101

Cited by 4 publications

(2 citation statements)

References 42 publications

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“…The efficacy of the present case study stands as evidence of the capacity of Decision Support Systems (DSS) to bring about significant changes in the field of education (Binyamin et al, 2019;Teixeira et al, 2023). There are potential benefits of incorporating a Decision Support System (DSS) that employs the Simple Additive Weighting (SAW) method in education.…”

Section: Introductionmentioning

confidence: 85%

Decision Support Systems A Game Changer in the Field of Education

Wiwik,

Dwiningrum,

Sujarwo

2023

AIJP

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This study employed the Simple Additive Weighting (SAW) method within a Decision Support System (DSS) to evaluate student admissions in the field of education. By assigning weights to criteria and calculating weighted scores for alternatives, the study ranked the applicants and identified the most preferred choices. The results revealed that Emily was the top-ranked candidate, followed by Olivia, Sarah, John, and Benjamin. The findings highlight the effectiveness of the SAW method and DSS in facilitating data-driven decision-making processes in education. However, limitations in subjective weight assignment and criteria selection should be considered. Future research should explore alternative decision analysis techniques and address implementation challenges.

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Section: Introductionmentioning

confidence: 85%

Decision Support Systems A Game Changer in the Field of Education

Wiwik,

Dwiningrum,

Sujarwo

2023

AIJP

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“…To address the challenges of European mobility programs that seek to involve students with multidisciplinary competencies, Teixeira, Alves, Mariz & Almeida [92] have developed a decision support system for selecting students for short-term Erasmus+ mobility. The researchers utilized an analytic hierarchy process based on a four-layer model that collects information about the specifics of each project and student profile and promotes greater inclusion and homogenization of project teams.…”

Section: Alisan and Serinmentioning

confidence: 99%

Data-driven Decision Making in Higher Education Institutions: State-of-play

Gaftandzhieva¹,

Hussain²,

Hilčenko³

et al. 2023

IJACSA

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The paper highlights the importance of using datadriven decision-making tools in Higher Education Institutions (HEIs) to improve academic performance and support sustainable development. HEIs must utilize data analytics tools, including educational data mining, learning analytics, and business intelligence, to extract insights and knowledge from educational data. These tools can help HEIs' leadership monitor and improve student enrolment campaigns, track student performance, evaluate academic staff, and make data-driven decisions. Although decision support systems have many advantages, they are still underutilized in HEIs, leaving field for further research and implementation. To address this, the authors summarize the benefits of applying data-driven decision approaches in HEIs and review various frameworks and methodologies, such as a course recommendation system and an academic prediction model, to aid educational decision-making. These tools articulate pedagogical theories, frameworks, and educational phenomena to establish mainstay significant components of learning to enable the scheming of superior learning systems. The tools can be utilized by the placement agencies or companies to find out their probable trainees/ recruitees. They can help students in course selection, and educational management in being more efficient and effective.

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Transformation of the RESPO Decision Support System to Higher Education for Monitoring Sustainability-Related Competencies

et al. 2023

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A result-oriented engagement system for performance optimisation (RESPO) has been developed to systematically monitor and improve the competencies of individuals in business, lifelong learning and secondary schools. The RESPO expert system was transferred for use in higher education institutions (HEIs) based on successful practical application trials. The architecture and functionality of the original RESPO expert system have been transformed into a new format that will collect information on the required competencies and the available educational programmes to help students effectively develop competencies through formal and non-formal education. First, the initial version of the RESPO system and its functionality were tested on a selected group of students and higher education staff to validate and improve its effectiveness for the needs of HEIs. This paper summarises the key findings and recommendations of the validators for transforming the RESPO application into an application for HEIs. In addition, the selection of competencies in the RESPO application database has been adapted to align with selected study programmes and the need to develop sustainability-related competencies. These findings can support professionals working in higher education institutions in developing students’ future competencies and fostering the targeted use of learning analytics tools.

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Decision support system for the selection of students for Erasmus+ short-term mobility

Cited by 4 publications

References 42 publications

Decision Support Systems A Game Changer in the Field of Education

Decision Support Systems A Game Changer in the Field of Education

Data-driven Decision Making in Higher Education Institutions: State-of-play

Transformation of the RESPO Decision Support System to Higher Education for Monitoring Sustainability-Related Competencies

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