A novel framework to transfer credits of computing courses on the basis of knowledge units in higher education institutions

It is common practice for students that they transfer their study program from current department, college or institution to another entity. During transfer of a program students wish to transfer credits of their completed courses to other institution. It is important that the knowledge and skills obtained from a transferring institution meet the standards of the receiving institution. Sometimes it is difficult to map the courses in two different institutions due to vague course descriptions and learning outcomes; as a result, the course credits evaluators either approve or deny credit transfer request. In both situations students face difficulties coping with higher level course. Traditionally, it is suggested to find out the course outlines and learning outcomes of a course and then equalize the course. This traditional process does not give due course credits to students as learning outcomes or outlines of a course may be different among institutions. In this study, descriptive methodology employed quantitative approach to collect data through a simple questionnaire from university students. We have presented a framework which will help higher education institutions to determine equivalence credit hours of computing courses based on knowledge units of a program rather than course learning outcomes. The framework is validated by the data obtained by conducting interviews with university students which affirm the usefulness of the model to both students and institutions.

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Publication Details

Journal
Edelweiss Applied Science and Technology
Published
2025-03-29
DOI
https://doi.org/10.55214/25768484.v9i3.5859
Primary Topic
Higher Education Learning Practices
Type
article
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article

A novel framework to transfer credits of computing courses on the basis of knowledge units in higher education institutions

Muhammad Asif Khan, Abdelrahman Abdelaziz Almulhim, Safiullah Salem Alkati, Nasser Ehsan Altarafi
Edelweiss Applied Science and Technology
Higher Education Learning Practices
article

A novel framework to transfer credits of computing courses on the basis of knowledge units in higher education institutions

Muhammad Asif Khan, Abdelrahman Abdelaziz Almulhim, Safiullah Salem Alkati, Nasser Ehsan Altarafi
article en

Abstract

It is common practice for students that they transfer their study program from current department, college or institution to another entity. During transfer of a program students wish to transfer credits of their completed courses to other institution. It is important that the knowledge and skills obtained from a transferring institution meet the standards of the receiving institution. Sometimes it is difficult to map the courses in two different institutions due to vague course descriptions and learning outcomes; as a result, the course credits evaluators either approve or deny credit transfer request. In both situations students face difficulties coping with higher level course. Traditionally, it is suggested to find out the course outlines and learning outcomes of a course and then equalize the course. This traditional process does not give due course credits to students as learning outcomes or outlines of a course may be different among institutions. In this study, descriptive methodology employed quantitative approach to collect data through a simple questionnaire from university students. We have presented a framework which will help higher education institutions to determine equivalence credit hours of computing courses based on knowledge units of a program rather than course learning outcomes. The framework is validated by the data obtained by conducting interviews with university students which affirm the usefulness of the model to both students and institutions.

Edelweiss Applied Science and TechnologyVol. 9(3)
King Faisal University (SA)
Openalex Percentile: Top 94%
Higher Education Learning Practices
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A novel framework to transfer credits of computing courses on the basis of knowledge units in higher education institutions — Muhammad Asif Khan, Abdelrahman Abdelaziz Almulhim, et al. · Edelweiss Applied Science and Technology (2025) | TGRS Research Map | TGRS