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The effect of teaching strategies on student achievement: An analysis using TALIS-PISA-link

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  • Cordero, Jose M.
  • Gil-Izquierdo, María

Abstract

The present study investigates the effects of different teaching strategies on student achievement using data from the so-called TALIS-PISA link created by the OECD. This is a recently developed instrument that allows for connecting data about teacher characteristics and practices collected in the TALIS (Teaching and Learning International Survey) survey with students’ academic performance measured in PISA (Programme for International Student Assessment). Our empirical strategy is based on an instrumental variable (IV) approach. Our results suggest that traditional teaching methods have a positive influence on students’ proficiency in mathematics, while the implementation of more innovative active learning strategies seem to have a negative impact on student achievement.

Suggested Citation

  • Cordero, Jose M. & Gil-Izquierdo, María, 2018. "The effect of teaching strategies on student achievement: An analysis using TALIS-PISA-link," Journal of Policy Modeling, Elsevier, vol. 40(6), pages 1313-1331.
    • Handle: RePEc:eee:jpolmo:v:40:y:2018:i:6:p:1313-1331
    DOI: 10.1016/j.jpolmod.2018.04.003
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    Cited by:

    1. Galina Larina & Anastasia Kapuza, 2020. "Thinking Skills in Teaching Practices: Relationship with Students' Achievement in Mathematics," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 70-96.
    2. Guangming Wang & Xia Chen & Dongli Zhang & Yueyuan Kang & Fang Wang & Mingyu Su, 2022. "Development and Application of an Intelligent Assessment System for Mathematics Learning Strategy among High School Students—Take Jianzha County as an Example," Sustainability, MDPI, vol. 14(19), pages 1-36, September.
    3. Asadullah, M. Niaz & Perera, Liyanage Devangi H. & Xiao, Saizi, 2020. "Vietnam’s extraordinary performance in the PISA assessment: A cultural explanation of an education paradox," Journal of Policy Modeling, Elsevier, vol. 42(5), pages 913-932.
    4. Bambang Budi Wiyono & Ach. Rasyad & Maisyaroh, 2021. "The Effect of Collaborative Supervision Approaches and Collegial Supervision Techniques on Teacher Intensity Using Performance-Based Learning," SAGE Open, , vol. 11(2), pages 21582440211, April.
    5. Ларина Г. С. & Капуза А. В., 2020. "Когнитивные Процессы В Преподавании: Связь С Достижениями Учащихся В Математике," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 70-96.
    6. Agasisti, Tommaso & Longobardi, Sergio & Prete, Vincenzo & Russo, Felice, 2021. "The relevance of educational poverty in Europe: Determinants and remedies," Journal of Policy Modeling, Elsevier, vol. 43(3), pages 692-709.
    7. Bhatnagar, Abhishek & Jaiswal, Animesh & Jain, Ansh & Bolia, Nomesh B., 2022. "An analysis of key indicators for enhancing school performance: Evidences from India," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    8. María Artemisa Sangermán Jiménez & Pedro Ponce, 2021. "Differentiated Teaching Based on Standardized Metrics Integrating Fuzzy Logic Type 2 Detection Theory: High School Case—PrepaTec, Mexico," Future Internet, MDPI, vol. 13(4), pages 1-19, April.
    9. Lagravinese, Raffaele & Liberati, Paolo & Resce, Giuliano, 2020. "The impact of economic, social and cultural conditions on educational attainments," Journal of Policy Modeling, Elsevier, vol. 42(1), pages 112-132.

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    More about this item

    Keywords

    Education; Teaching practices; Student achievement; Instrumental variables;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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