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ERIC Number: EJ1472325
Record Type: Journal
Publication Date: 2025
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0022-0973
EISSN: EISSN-1940-0683
Available Date: 0000-00-00
Motivation and Opportunities-to-Learn in Science as Predictors of Student Science Performance
Fa Zhang1; Christine Lee Bae2; Michael D. Broda2; Alison C. Koenka3
Journal of Experimental Education, v93 n2 p301-319 2025
In this study, we investigated the relationships between three pivotal factors that influence student performance, including opportunity-to-learn (OTL) factors, which included proximal indicators that represent science-specific learning opportunities, student motivation (propensity factor), and crucial student and teacher antecedent factors by using Trends in International Mathematics and Science Study dataset. Results showed that student propensity factors, particularly self-concept in science, and family socioeconomic status were the two strongest and positive, significant predictors of student science performance. However, the link between OTL and science performance was mixed. Additionally, OTL had less predictive power than propensity factors on science performance, but the relationship between OTL and propensity factors were strong. Implications for the examination on the opportunity-propensity model and science education are discussed.
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Publication Type: Journal Articles; Reports - Research
Education Level: Junior High Schools; Middle Schools; Secondary Education; Elementary Education; Grade 8
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: United States
Identifiers - Assessments and Surveys: Trends in International Mathematics and Science Study
Grant or Contract Numbers: N/A
Author Affiliations: 1Department of Education, The Open University of China, Beijing, China; 2Department of Foundations of Education, Virgina Commonwealth University, Richmond, VA, USA; 3The University of Oklahoma, Jeannine Rainbolt College of Education, Norman, OK, USA