Use of Decision Tree and Fuzzy Logic Methods to Predict Academic Achievement of University Freshmen

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dc.contributor.authorSalahli, M.A.
dc.contributor.authorGasimzade, T.
dc.contributor.authorSalahli, V.
dc.contributor.authorAlasgarova, F.
dc.contributor.authorGuliyev, A.
dc.date.accessioned2025-01-27T18:50:20Z
dc.date.available2025-01-27T18:50:20Z
dc.date.issued2022
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description11th International Conference on Theory and Applications Soft Computing, Computing with Words and Perceptions and Artificial Intelligence, ICSCCW 2021 -- 23 August 2021 through 24 August 2021 -- Antgalya -- 270799
dc.description.abstractIt is not easy for students who have just entered the university to adapt to the new education and living environment. In this process, social-economic, educational, and personal factors have a great impact on the academic achievements of first-year students. In this study, the aim is to determine the factors affecting the academic success of university freshmen and to predict the academic success of students by using decision tree and fuzzy logic methods together, considering the most important factors. Students’ achievement was predicted by the decision tree method considering the students’ university entrance scores, satisfaction with the educational environment, accommodation, attendance to the course, and preference of the department as input of the prediction model. Fuzzy inference rules were created based on the decision tree obtained from implementation of the J48 method, which provides a better understanding of the dependence between students’ academic achievement and impact factors. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
dc.identifier.doi10.1007/978-3-030-92127-9_24
dc.identifier.endpage164
dc.identifier.isbn978-303092126-2
dc.identifier.issn2367-3370
dc.identifier.scopus2-s2.0-85123313146
dc.identifier.scopusqualityQ4
dc.identifier.startpage156
dc.identifier.urihttps://doi.org/10.1007/978-3-030-92127-9_24
dc.identifier.urihttps://hdl.handle.net/20.500.12428/12488
dc.identifier.volume362 LNNS
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofLecture Notes in Networks and Systems
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250125
dc.subjectAcademic achievement; Decision tree; Fuzzy inference; Predictive model
dc.titleUse of Decision Tree and Fuzzy Logic Methods to Predict Academic Achievement of University Freshmen
dc.typeConference Object

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