EconPapers    
Economics at your fingertips  
 

Factors Predicting Inquiry-Based Teaching in Science Across One Belt One Road Countries and Regions: A Multilevel Analysis

Hanwei Tang, Chen Qiu, Lingqi Meng, Yujia Li and Jiangkun Zhang

SAGE Open, 2020, vol. 10, issue 2, 2158244020932511

Abstract: The present study aimed to investigate factors predicting inquiry-based teaching in science across One Belt One Road countries and regions (OBOR economies). Teacher-level ( N = 8,603) and school-level ( N = 1,385) data were drawn from the Program for International Student Assessment (PISA) 2015. Hierarchical linear modeling was adopted for data analysis. The results showed at the teacher level that teacher collaboration was positively correlated with inquiry-based teaching in OBOR economies, and that teacher beliefs were positively associated with inquiry-based teaching in each sample. At the school level, no consistent result was found among OBOR economies. School location was positively related to inquiry-based teaching in the Dominican Republic, Macao, and the United Arab Emirates. By contrast, science-specific resources showed a negative association with inquiry-based teaching in Taiwan, the Czech Republic, and Macao. Other specific findings were presented and the implications of all findings were discussed.

Keywords: hierarchical linear modeling; inquiry-based teaching; One Belt One Road; Program for International Student Assessment (PISA) (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/2158244020932511 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:10:y:2020:i:2:p:2158244020932511

DOI: 10.1177/2158244020932511

Access Statistics for this article

More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:sagope:v:10:y:2020:i:2:p:2158244020932511