Artificial Neural Networks as a Decision Support Tool in Curriculum Development

Basit Öğe Kaydı
dc.authoridErsoz Kaya, Irem/0000-0001-5553-3881
dc.contributor.authorKaya, Irem Ersoz
dc.date.accessioned2025-03-17T12:25:34Z
dc.date.available2025-03-17T12:25:34Z
dc.date.issued2019
dc.departmentTarsus Üniversitesi
dc.description.abstractIn the context of learning analytics, machine learning techniques have been commonly used in order to shed a light on solving educational problems. The studies can be associated with the curriculum design, mostly at course level, which target to improve the learning and teaching processes. In this study, the relationship between the courses was analyzed via artificial neural network (ANN) to provide a support for curriculum development process at a program level. Extracting the dependence among courses within a program plays a key role in placing them coherently to ensure the success of curriculum. For this purpose, it was investigated if the performance of students in a subsequent course is influenced from the performance in some previous basic courses. The results demonstrated that the performance relations could be used to describe information for prioritization and sequencing of courses within a program. In addition, ANN can successfully predict the student performances leading to find out the relationships between these courses. The application of the multilayer feedforward neural network resulted in an achievement of a prospering prediction performance based on the grades of prerequisite courses with 87% accuracy rate without sacrificing a significant sensitivity.
dc.identifier.doi10.1142/S0218213019400049
dc.identifier.issn0218-2130
dc.identifier.issn1793-6349
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85070316678
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://doi.org/10.1142/S0218213019400049
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1761
dc.identifier.volume28
dc.identifier.wosWOS:000478634400005
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorKaya, Irem Ersoz
dc.language.isoen
dc.publisherWorld Scientific Publ Co Pte Ltd
dc.relation.ispartofInternational Journal On Artificial Intelligence Tools
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250316
dc.subjectLearning analytics
dc.subjectartificial neural networks
dc.subjectmultiple regression analysis
dc.subjectstudent academic performances
dc.subjectprior and prerequisite courses
dc.subjectcurriculum development
dc.titleArtificial Neural Networks as a Decision Support Tool in Curriculum Development
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu