AN MULTI-CRITERIA DECISION-MAKING BASED COURSE ASSESSMENT FRAMEWORK: DEVELOPMENT AND APPLICATION
Evaluation of the educational process is essential to its development and improvement. This paper aims to create a model for evaluating students’ satisfaction with industrial engineering courses using Multi-Criteria Decision-Making (MCDM) tools. The research began with a course evaluation data surve...
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| Veröffentlicht in: | South African journal of industrial engineering 2022-12, Vol.33 (4), p.1-9 |
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| container_title | South African journal of industrial engineering |
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| creator | Aburas, Hani Mohammad Batarfi, Ibraheem Bahshwan, Abdullah Alzahrani, Ramzi Qarout, Abdullah |
| description | Evaluation of the educational process is essential to its development and improvement. This paper aims to create a model for evaluating students’ satisfaction with industrial engineering courses using Multi-Criteria Decision-Making (MCDM) tools. The research began with a course evaluation data survey with 28 questions (variables). Then the assessment model was proposed, based on the previously collected data. The suggested assessment model identified the constructs using exploratory factor analysis (EFA). Then the extracted variables and the resulting constructs were prioritised using the analytic hierarchy process (AHP). Next, a structured local questionnaire was drawn up and distributed to industrial engineering students at a Saudi university to validate the developed model. After that, the suggested framework was applied to the data to assess the students’ overall satisfaction with the course. Finally, it was found that the Operations Research Track, of the five current tracks, scored the highest satisfaction rate. This study’s results could be helpful in knowing the importance of MCDM in the evaluation process, as it distinguishes the value of students’ evaluations for the development and growth of the evaluation of educational courses. Keywords Analytic Hierarchy Process (AHP), Course Evaluation Framework, Exploratory Factor Analysis (EFA), Multi-Criteria Decision Making (MCDM) |
| doi_str_mv | 10.7166/33-4-2549 |
| format | Article |
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This paper aims to create a model for evaluating students’ satisfaction with industrial engineering courses using Multi-Criteria Decision-Making (MCDM) tools. The research began with a course evaluation data survey with 28 questions (variables). Then the assessment model was proposed, based on the previously collected data. The suggested assessment model identified the constructs using exploratory factor analysis (EFA). Then the extracted variables and the resulting constructs were prioritised using the analytic hierarchy process (AHP). Next, a structured local questionnaire was drawn up and distributed to industrial engineering students at a Saudi university to validate the developed model. After that, the suggested framework was applied to the data to assess the students’ overall satisfaction with the course. Finally, it was found that the Operations Research Track, of the five current tracks, scored the highest satisfaction rate. This study’s results could be helpful in knowing the importance of MCDM in the evaluation process, as it distinguishes the value of students’ evaluations for the development and growth of the evaluation of educational courses. 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This work is published under https://creativecommons.org/licenses/by/3.0/ (the “License”). 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Afr. J. Ind. Eng</addtitle><description>Evaluation of the educational process is essential to its development and improvement. This paper aims to create a model for evaluating students’ satisfaction with industrial engineering courses using Multi-Criteria Decision-Making (MCDM) tools. The research began with a course evaluation data survey with 28 questions (variables). Then the assessment model was proposed, based on the previously collected data. The suggested assessment model identified the constructs using exploratory factor analysis (EFA). Then the extracted variables and the resulting constructs were prioritised using the analytic hierarchy process (AHP). Next, a structured local questionnaire was drawn up and distributed to industrial engineering students at a Saudi university to validate the developed model. After that, the suggested framework was applied to the data to assess the students’ overall satisfaction with the course. Finally, it was found that the Operations Research Track, of the five current tracks, scored the highest satisfaction rate. This study’s results could be helpful in knowing the importance of MCDM in the evaluation process, as it distinguishes the value of students’ evaluations for the development and growth of the evaluation of educational courses. 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| source | DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
| subjects | Analytic hierarchy process Cloud computing Colleges & universities Data collection Decision making Educational objectives Engineering education Engineering, Industrial Evaluation Factor analysis Industrial engineering Learning Multiple criteria decision making Multiple criterion Operations research Performance evaluation Questionnaires Students |
| title | AN MULTI-CRITERIA DECISION-MAKING BASED COURSE ASSESSMENT FRAMEWORK: DEVELOPMENT AND APPLICATION |
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