A methodology to find possible optimal profiles based on 4Q model to learn computer programming by pairs in a systems engineering program
This paper presents the methodology, results and conclusions obtained in the development of a research whose objective was to establish the most productive academic pairs, in terms of learning, using the 4Q model of thinking preferences within the framework of a programming subject in Systems Engine...
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| Format: | Article |
| Language: | English |
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OmniaScience
2025-06-01
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| Series: | Journal of Technology and Science Education |
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| Online Access: | https://www.jotse.org/index.php/jotse/article/view/2967 |
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| author | Omar Iván Trejos Buriticá Luis Eduardo Muñoz Guerrero Jorge Iván Ríos Patiño |
| author_facet | Omar Iván Trejos Buriticá Luis Eduardo Muñoz Guerrero Jorge Iván Ríos Patiño |
| author_sort | Omar Iván Trejos Buriticá |
| collection | DOAJ |
| description | This paper presents the methodology, results and conclusions obtained in the development of a research whose objective was to establish the most productive academic pairs, in terms of learning, using the 4Q model of thinking preferences within the framework of a programming subject in Systems Engineering. To achieve this, a research methodology has been adopted to work in the classroom in which the profile of each student's thinking preferences has been identified and, as a result, they have been related by pairs with other students to determine the better couples that complement each other to learn computer programming. The results obtained show certain complementarities in the different profiles that draw attention and that could be capitalized within the context of a programming course. It is concluded that, effectively, it is possible to find optimal profiles in the students in the light of the 4Q model that helps the programming computer learning process to be more effective. |
| format | Article |
| id | doaj-art-4b954d415eaf4cb18a400131a8bbdf5f |
| institution | Kabale University |
| issn | 2013-6374 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | OmniaScience |
| record_format | Article |
| series | Journal of Technology and Science Education |
| spelling | doaj-art-4b954d415eaf4cb18a400131a8bbdf5f2025-08-20T10:41:09ZengOmniaScienceJournal of Technology and Science Education2013-63742025-06-0115233534510.3926/jotse.2967475A methodology to find possible optimal profiles based on 4Q model to learn computer programming by pairs in a systems engineering programOmar Iván Trejos Buriticá0Luis Eduardo Muñoz Guerrero1Jorge Iván Ríos Patiño2Universidad Tecnológica de PereiraUniversidad Tecnológica de PereiraUniversidad Tecnológica de PereiraThis paper presents the methodology, results and conclusions obtained in the development of a research whose objective was to establish the most productive academic pairs, in terms of learning, using the 4Q model of thinking preferences within the framework of a programming subject in Systems Engineering. To achieve this, a research methodology has been adopted to work in the classroom in which the profile of each student's thinking preferences has been identified and, as a result, they have been related by pairs with other students to determine the better couples that complement each other to learn computer programming. The results obtained show certain complementarities in the different profiles that draw attention and that could be capitalized within the context of a programming course. It is concluded that, effectively, it is possible to find optimal profiles in the students in the light of the 4Q model that helps the programming computer learning process to be more effective.https://www.jotse.org/index.php/jotse/article/view/29674q model, computing, learning, programming, systems engineering |
| spellingShingle | Omar Iván Trejos Buriticá Luis Eduardo Muñoz Guerrero Jorge Iván Ríos Patiño A methodology to find possible optimal profiles based on 4Q model to learn computer programming by pairs in a systems engineering program Journal of Technology and Science Education 4q model, computing, learning, programming, systems engineering |
| title | A methodology to find possible optimal profiles based on 4Q model to learn computer programming by pairs in a systems engineering program |
| title_full | A methodology to find possible optimal profiles based on 4Q model to learn computer programming by pairs in a systems engineering program |
| title_fullStr | A methodology to find possible optimal profiles based on 4Q model to learn computer programming by pairs in a systems engineering program |
| title_full_unstemmed | A methodology to find possible optimal profiles based on 4Q model to learn computer programming by pairs in a systems engineering program |
| title_short | A methodology to find possible optimal profiles based on 4Q model to learn computer programming by pairs in a systems engineering program |
| title_sort | methodology to find possible optimal profiles based on 4q model to learn computer programming by pairs in a systems engineering program |
| topic | 4q model, computing, learning, programming, systems engineering |
| url | https://www.jotse.org/index.php/jotse/article/view/2967 |
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