Modeling the Relationship between Motivation, Learning Approach, and Academic Achievement of Middle School Students in Turkey

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Bibliographic Details
Title: Modeling the Relationship between Motivation, Learning Approach, and Academic Achievement of Middle School Students in Turkey
Language: English
Authors: Karaman, Pinar, Demirci, Ibrahim, Özdemir, Atilla
Source: International Journal of Progressive Education. 2019 15(4):187-199.
Availability: International Association of Educators. Available from: PEN Academic Publishing. e-mail: secretary@inased.org; e-mail: info@penpublishing.net; Web site: http://www.inased.org/ijpe.htm; Web site: http://ijpe.penpublishing.net/
Peer Reviewed: Y
Page Count: 13
Publication Date: 2019
Document Type: Journal Articles
Reports - Research
Speeches/Meeting Papers
Education Level: Junior High Schools
Middle Schools
Secondary Education
Higher Education
Postsecondary Education
Elementary Education
Grade 7
Grade 8
Descriptors: Correlation, Student Motivation, Academic Achievement, Middle School Students, Foreign Countries, Learning Strategies, Questionnaires, College Students, Structural Equation Models, Early Adolescents, Grade 7, Grade 8, Public Schools, Grade Point Average, Transformative Learning
Geographic Terms: Turkey, Turkey (Ankara)
Assessment and Survey Identifiers: Motivated Strategies for Learning Questionnaire, Study Process Questionnaire
ISSN: 1554-5210
Abstract: This study examines the structural relationship among motivation, deep learning approach, and academic achievement of middle school students in Turkey. Participants were 746 seventh grade and eighth grade students enrolled in public middle schools in Sinop and Ankara, Turkey. Motivated Strategies for Learning Questionnaire, Study Process Questionnaire (R-SPQ-2F) and GPA scores of participants were used in the study. Data were analyzed by Structural Equation Modeling. The results of the study revealed that motivational variables are related with the use of deep learning approach which is related with higher GPA. Path analyses demonstrated that deep learning approach fully mediated the relationship between students' motivational variables and academic achievement. Self-efficacy, task value, and intrinsic goal orientation as the indirect effects through deep learning approach on academic achievement were strong predictors in the model. [This study was presented at the International Congress of Eurasian Educational Researches held in Ankara on June 19-22, 2019.]
Abstractor: As Provided
Entry Date: 2019
Accession Number: EJ1224236
Database: ERIC
Description
Abstract:This study examines the structural relationship among motivation, deep learning approach, and academic achievement of middle school students in Turkey. Participants were 746 seventh grade and eighth grade students enrolled in public middle schools in Sinop and Ankara, Turkey. Motivated Strategies for Learning Questionnaire, Study Process Questionnaire (R-SPQ-2F) and GPA scores of participants were used in the study. Data were analyzed by Structural Equation Modeling. The results of the study revealed that motivational variables are related with the use of deep learning approach which is related with higher GPA. Path analyses demonstrated that deep learning approach fully mediated the relationship between students' motivational variables and academic achievement. Self-efficacy, task value, and intrinsic goal orientation as the indirect effects through deep learning approach on academic achievement were strong predictors in the model. [This study was presented at the International Congress of Eurasian Educational Researches held in Ankara on June 19-22, 2019.]
ISSN:1554-5210