Analysis of Relationship Between Learning Outcomes and Student’s Exam Results Using Association Rule Mining and Fuzzy Inference Rules

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dc.authorid0000-0002-1522-0992en_US
dc.authorscopusid6504564641en_US
dc.authorwosid-en_US
dc.contributor.authorSalahlı, M.A.
dc.contributor.authorGasimzadeh, T.
dc.contributor.authorAlasgarova, F.
dc.date.accessioned2023-06-05T08:41:57Z
dc.date.available2023-06-05T08:41:57Z
dc.date.issued2021en_US
dc.departmentFakülteler, Eğitim Fakültesi, Bilgisayar ve Öğretim Teknolojileri Eğitimi Bölümü
dc.description.abstractThe academic success of students largely depends on the correct selection and evaluation of learning outcomes. The most effective tool for measuring student knowledge is exams. In this context, the scores of the students in the exams are the important indicators of their learning achievements. In this study the relationship between learning outcomes and exam results of students is analyzed. The research was carried out based on mathematics exam scores of students studying in the 6th grade of secondary school and the data related to the learning outcomes of this course. To reveal this relationship, an approach based on fuzzy logic and data mining methods is considered. The weights of the learning outcomes in the questions were analyzed, then the relationships between the outcomes and scores were determined using the Apriori algorithm. Then fuzzy inference rules were created based on the most frequent items determined as the results of the Apriori algorithm.en_US
dc.identifier.citationSalahlı, M. A., Gasimzadeh, T., Alasgarova, F., & Guliyev, A. (2021). Analysis of relationship between learning outcomes and Student’s exam results using association rule mining and fuzzy inference rules. doi:10.1007/978-3-030-64058-3_44en_US
dc.identifier.doi10.1007/978-3-030-64058-3_44
dc.identifier.endpage361en_US
dc.identifier.isbn978-3-030-64058-3
dc.identifier.scopus2-s2.0-85124432211
dc.identifier.startpage354en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-64058-3_44
dc.identifier.urihttps://hdl.handle.net/20.500.12428/4235
dc.indekslendigikaynakScopus
dc.institutionauthorSalahlı, Mehmet Ali
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartof14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing – ICAFS-2020en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectApriori algorithmen_US
dc.subjectFuzzy inference rulesen_US
dc.subjectMathematics learning outcomesen_US
dc.titleAnalysis of Relationship Between Learning Outcomes and Student’s Exam Results Using Association Rule Mining and Fuzzy Inference Rules
dc.typeConference Object

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