Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

The predictive power of the disciplined mind characteristics on STEM motivation of middle school students in science class

Bibliographic Data

ID21628752
AuthorsElif Bahcegil Yazicioglu (0000-0002-3829-0205), Koray Kasapoğlu (0000-0003-2663-2244)
Year2026
Volume45
Issue13
Publication date2026-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCurrent Psychology (JOURNAL)
Journal identifiersISSN: 1046-1310 • E-ISSN: 1936-4733
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s12144-026-09653-x
OpenAlexW7167260217
LanguageEN
References cited53

This study aimed to examine the relationship between the disciplined mind characteristics and STEM motivation of middle school students in science class. For this purpose, quantitative research method and correlational survey design were used. Data were collected from 496 fifth, sixth, seventh and eighth grade students studying in middle schools selected by convenience sampling in Afyonkarahisar in the 2022–2023 academic year. Data collection tools included the “Demograhic Information Form”, the “Disciplined Mind Scale”, and the “STEM Motivation Scale”. The data were analyzed using descriptive statistics, Pearson correlation analysis, and hierarchical regression analysis. As a result, it was seen that the middle school students sometimes showed disciplined mind characteristics in science class and reported a moderate level of STEM motivation. It was determined that there was a positive, moderately significant relationship between the disciplined mind characteristics of middle school students in science class and their STEM motivation. When gender, grade level, maternal educational level, paternal educational level, access to a computer with an Internet connection, access to a tablet with an Internet connection, participation in any STEM project, participation in any STEM activities, and STEM career choices were all taken into account, the results of hierarchical regression analysis revealed that middle school students’ disciplined mind characteristics in science class were the most significant positive predictor of their STEM motivation. Understanding the link between students’ characteristics of a disciplined mind and their motivation for STEM subjects in science classes could inform instructional practices that encourage disciplined thinking and foster a disciplined mind. Such practices are also expected to inspire students to pursue STEM careers

Data collection · Middle class · Multilevel model · Predictive power · Science class · Science education · The Internet · Education, Achievement, and Giftedness · Science Education and Pedagogy · Science Education and Perceptions

  • Approach and Avoidance Motivation

    Open Access•Andrew J Elliot, Martin V Covington•Educational Psychology Review•2001

  • The relative importance of intelligence and motivation as predictors of school achievement

    Open Access•Katharina Kriegbaum, Nicolas Becker et al.•Educational Research Review•2018

  • Motivation and social cognitive theory

    Open Access•Dale Schunk, Dale H Schunk et al.•Contemporary Educational Psychology•2020

  • Determinants of mobile learning acceptance for STEM education in rural areas

    Open Access•David Mutambara, Anass Bayaga•Computers & Education•2021

  • Teachers caring for students and students caring for math

    Open Access•Osman Umarji, Anna-Lena Dicke et al.•Journal of School Psychology•2021

  • Achieving Querencia

    Charles R Ault•Curriculum Inquiry•2008

  • Individuals’ math and science motivation and their subsequent STEM choices and achievement in high school and college

    Open Access•Su Jiang, Sandra D Simpkin et al.•Developmental Psychology•2020

  • Why Students Choose STEM Majors

    Open Access•Xueli Wang•American Educational Research…•2013

  • Cultivating competence, self-efficacy, and intrinsic interest through proximal self-motivation

    Albert Bandura, Dale Schunk et al.•Journal of Personality and Social…•1981

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae