Towards learning approaches of engineering students studying mathematics and the validity of approaches and study skill inventory for students

Gizem Intepe*, Irma Hacinliyan, Eti Mizrahi

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkıMakalebilirkişi

1 Atıf (Scopus)

Özet

Educational success is mainly based on the formation of effective learners. Students’ learning is affected by several variables, such as intelligence, motivation, teaching and learning approaches. Research showed that approaches to learning are among one of the most important variables that influence students’ learning quality. They are related to how students experience and organize the subject matter of a learning task. It is important to understand what and how students learn, rather than how much they remember. This paper aims to test the validity of the Turkish version of the Approaches and Study Skill Inventory for Students (ASSIST), which explores the types of learning approaches (deep surface or strategic), applied to the first-year undergraduate engineering students having mathematics as a compulsory course at Istanbul Technical University. Validation has been done by explanatory factor analysis. Afterwards, the relationship between the learning approaches and extracurricular factors is critiqued. For this purpose, the association between the language of the subject (English or Turkish) and the students’ learning approaches are investigated. Similarly, the relationship between learning approaches and parental education level as well as high school type is examined. Correlations between learning approaches conceptions of learning and teaching types are also tested.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)1000-1014
Sayfa sayısı15
DergiInternational Journal of Mathematical Education in Science and Technology
Hacim54
Basın numarası6
DOI'lar
Yayın durumuYayınlandı - 2023

Bibliyografik not

Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.

Finansman

The authors would like to thank Ayse Aysin Bilgin for suggesting working on ASSIST. The authors also wish to thank the referees for their time and helpful comments on the manuscript.

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