A college degree recommendation model
Selecting a profession suitable to students` expectations implies taking into account multiple factors. Despite its usefulness and high impact, there are shortcomings in current university major recommendation models. Among these limitations are the lack of flexible models, the dependence on histori...
- Autores:
-
Maridueña, Milton
Febles-Estrada, Ailyn
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2016
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/60470
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/60470
http://bdigital.unal.edu.co/58802/
- Palabra clave:
- 62 Ingeniería y operaciones afines / Engineering
recommender systems
college degree recommendation
AHP
student profile
sistemas de recomendación
recomendación de carreras universitarias
AHP
perfil del estudiante
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
Summary: | Selecting a profession suitable to students` expectations implies taking into account multiple factors. Despite its usefulness and high impact, there are shortcomings in current university major recommendation models. Among these limitations are the lack of flexible models, the dependence on historical information and the inadequate weighting of the factors involved. In this paper, a new college degree recommendation model based on psychological student profiling and the analytical hierarchical process is presented. It includes database construction, student profiling, college degree information filtering and recommendation generation. Its implementation made it possible to improve reliability in the recommendation process of college degree. A case study is shown to demonstrate the model applicability. |
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