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Learning Environments Research

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26.04.2019 | Original Paper

Students’ perceptions of mathematics classroom learning environments: measurement and associations with achievement

verfasst von: Venkata L. N. Aluri, Barry J. Fraser

Erschienen in: Learning Environments Research | Ausgabe 3/2019

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Abstract

In this study, we measured students’ perceptions of mathematics classroom learning environment and investigated their associations with students’ achievement. The Mathematics-Related Constructivist-Oriented Classroom Learning Environment Survey (MCOLES) was developed with seven dimensions and 56 items, using theories surrounding classroom learning environment. For a sample of 423 grade 10 students from five schools in India, we validated the MCOLES by exploratory factor analysis and then by confirmatory factor analysis, which suggested the exclusion of 11 items and yielded an 11-factor solution. For achievement on a topic taught, mainly medium correlations emerged with the learning environment factors, suggesting practical implications for classroom teaching. This study is methodologically significant in proposing and validating the new MCOLES for measuring classroom learning environments in secondary-school mathematics.

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Afari, E., Aldridge, J. M., Fraser, B. J., & Khine, M. S. (2013). Students’ perceptions of the learning environment and attitudes in game-based mathematics classrooms. Learning Environments Research, 16, 131–150.CrossRef

Aldridge, J., Fraser, B., Bell, L., & Dorman, J. (2012). Using a new learning environment questionnaire for reflection in teacher action research. Journal of Science Teacher Education, 23(3), 259–290.CrossRef

Aldridge, J. M., & Fraser, B. J. (2008). Outcomes-focused learning environments: Determinants and effects. Rotterdam: Sense Publishers.

Aldridge, J. M., Fraser, B. J., & Huang, I. T.-C. (1999). Investigating classroom environments in Taiwan and Australia with multiple research methods. Journal of Educational Research, 93, 48–62.CrossRef

Aldridge, J. M., Fraser, B. J., & Sebela, M. P. (2004). Using teacher action research to promote constructivist learning environments in South Africa. South African Journal of Education, 24, 245–253.

Aldridge, J. M., Fraser, B. J., Taylor, P. C., & Chen, C. C. (2000). Constructivist learning environments in a cross-national study in Taiwan and Australia. International Journal of Science Education, 22(1), 37–55.CrossRef

Bartlett, M. S. (1954). A note on the multiplying factors for various Chi square approximations. Journal of the Royal Statistical Society, 16 (Series B), 296–298.

Bell, L. M., & Aldridge, J. M. (2014). Student voice, teacher action research and classroom improvement (Advances in learning environments research series). Rotterdam: Sense Publishers.

Brown, T. A. (2014). Confirmatory factor analysis for applied research (2nd ed.). New York: Guilford Publications.

Byrne, B. M. (2002). Structural equation modeling with EQS. London: Taylor and Francis.

Cattell, R. B. (1966). The scree test for number of factors. Multivariate Behavioral Research, 1, 245–276.CrossRef

Chionh, Y. H., & Fraser, B. J. (2009). Classroom environment, achievement, attitudes and self-esteem in geography and mathematics in Singapore. International Research in Geographical and Environmental Education, 18, 29–44.CrossRef

Chipangura, A. T. (2014). Multimedia in high school mathematics classes: Students’ perceptions of the learning environment and engagement. Unpublished Ph.D. thesis, Curtin University, Perth, Australia.

Cohen, J. (1988). Statistical power analyses for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.

Cohn, S. T., & Fraser, B. J. (2016). Effectiveness of student response systems in terms of learning environment, attitudes and achievement. Learning Environments Research, 19, 153–167.CrossRef

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334.CrossRef

Dochy, F. J. R. C. (1996). Assessment of domain-specific and domain-transcending prior knowledge: Entry assessment and the use of profile analysis. In M. Birenbaum & F. J. R. C. Dochy (Eds.), Alternatives in assessment of achievements, learning processes and prior knowledge (pp. 227–264). Boston: Kluwer.CrossRef

Dochy, F. J. R. C., Segers, M., & Buehl, M. M. (1999). The relation between assessment practices and outcomes of studies: The case of research on prior knowledge. Review of Educational Research, 69(2), 145–186.CrossRef

Dorman, J. P. (2008). Use of multitrait-multimethod modelling to validate actual and preferred forms of the What Is Happening In this Class? (WIHIC) questionnaire. Learning Environments Research, 11, 179–197.CrossRef

Earle, J. E., & Fraser, B. J. (2017). Evaluating online resources in terms of learning environment and student attitudes in middle-grade mathematics classes. Learning Environments Research, 20, 339–364.CrossRef

Ernest, P. (1991). The philosophy of mathematics education. London: The Falmer Press.

Fraser, B. J. (1990). Individualised Classroom Learning Environment Questionnaire. Melbourne: Australian Council for Educational Research.

Fraser, B. J. (2002). Learning environments research: Yesterday, today and tomorrow. In S. C. Goh & M. S. Khine (Eds.), Studies in educational environments: An international perspective (pp. 1–25). Singapore: World Scientific.

Fraser, B. J. (2012). Classroom learning environments: Retrospect, context and prospect. In B. J. Fraser, K. G. Tobin, & C. J. McRobbie (Eds.), Second international handbook of science education (pp. 1191–1239). New York: Springer.CrossRef

Fraser, B. J. (2014). Classroom learning environments: Historical and contemporary perspectives. In N. G. Lederman & S. K. Abell (Eds.), Handbook of research on science education (Vol. II, pp. 104–119). New York: Routledge.

Fraser, B. J. (2018). Milestones in the evolution of the learning environments field over the past three decades. In D. B. Zandvliet & B. J. Fraser (Eds.), Thirty years of learning environments research: Looking back and looking forward (pp. 1–19). Rotterdam: Brill ׀ Sense.

Fraser, B. J., & Aldridge, J. M. (2017). Improving classrooms through assessment of learning environments. In J. P. Bakken (Ed.), classrooms (Vol. 1, pp. 91–107)., Assessment practices for teachers and student improvement strategies New York: Nova.

Fraser, B. J., & Butts, W. L. (1982). Relationship between perceived levels of classroom individualization and science-related attitudes. Journal of Research in Science Teaching, 19(2), 143–154.CrossRef

Fraser, B. J., & Fisher, D. L. (1982). Predicting students’ outcomes from their perceptions of classroom psychosocial environment. American Educational Research Journal, 19, 498–518.CrossRef

Hailikari, T., Nevgi, A., & Komulainen, E. (2008). Academic self-beliefs and prior knowledge as predictors of student achievement in mathematics: A structural model. Educational Psychology, 28(1), 59–71.CrossRef

Hair, J. F., Jr., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Prentice Hall.

Hanke, C. Y. C., & Fraser, B. J. (2013, April). Cross-national study of classroom environments, attitudes and academic self-efficacy in middle school mathematics. Paper presented at annual meeting of American Educational Research Association, San Francisco.

Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179–185.CrossRef

Hu, L., & Bentler, P. M. (1999). Cut off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55.CrossRef

Hubbard, R., & Allen, S. J. (1987). An empirical comparison of alternative methods for principal component extraction. Journal of Business Research, 15, 173–190.CrossRef

Kaiser, H. (1970). A second generation Little Jiffy. Psychometrika, 35, 401–415.CrossRef

Kaiser, H. (1974). An index of factorial simplicity. Psychometrika, 39, 31–36.CrossRef

Koh, N. K., & Fraser, B. J. (2014). Learning environment associated with use of mixed mode delivery model among secondary business studies students in Singapore. Learning Environments Research, 17(2), 157–171.CrossRef

Moos, R. H. (1974). The social climate scales: An overview. Palo Alto, CA: Consulting Psychologists Press.

Moos, R. H. (1979). Evaluating educational environments: Procedures, measures, findings and policy implications. San Francisco: Jossey Bass.

Munby, H. (1997). Issues of validity in science attitude measurement. Journal of Research in Science Teaching, 34, 337–341.CrossRef

Muthen, L. K., & Muthen, B. (2008). Mplus user’s guide. Los Angeles: Author.

NCERT. (2015). Class X mathematics. New Delhi: National Council of Education Research and Training. Retrieved from www.ncert.nic.in. Accessed 10 April 2018.

Ogbuehi, P. I., & Fraser, B. J. (2007). Learning environment, attitudes and conceptual development associated with innovative strategies in middle-school mathematics. Learning Environments Research, 10, 101–114.CrossRef

Pallant, J. (2013). SPSS survival manual. Sydney: Allen & Unwin.

Schmitt, T. A. (2011). Current methodological considerations in exploratory and confirmatory factor analysis. Journal of Psychoeducational Assessment, 29(4), 304–321.CrossRef

State Government of Victoria. (2012). Principles of teaching and learning. Melbourne: Author.

Stevens, J. P. (1992). Applied multivariate statistics for the social sciences (2nd ed.). Hillsdale, NJ: Erlbaum.

Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Boston: Pearson Education.

Taylor, B. A., & Fraser, B. J. (2013). Relationships between learning environment and mathematics anxiety. Learning Environments Research, 16, 297–313.CrossRef

Taylor, P. C., Fraser, B. J., & Fisher, D. L. (1997). Monitoring constructivist classroom learning environments. International Journal of Educational Research, 27, 293–302.CrossRef

Tobias, S. (1994). Interest, prior knowledge, and learning. Review of Educational Research, 64(1), 37–54.CrossRef

Trochim, W. M., & Donnelly, J. P. (2006). The research methods knowledge base (3rd ed.). Cincinnati, OH: Atomic Dog.

Velayutham, S., & Aldridge, J. M. (2013). Influence of psychosocial classroom environment on students’ motivation and self-regulation in science learning: A structural equation modeling approach. Research in Science Education, 43, 507–527.CrossRef

Velayutham, S., Aldridge, J. M., & Fraser, B. J. (2011). Development and validation of an instrument to measure students’ motivation and self-regulation in science learning. International Journal of Science Education, 33, 2159–2179.CrossRef

von Glasersfeld, E. (2000). Problems of constructivism. In L. P. Steffe & P. W. Thompson (Eds.), Radical constructivism in action: Building on the pioneering work of Ernst Glasersfeld (pp. 3–9). New York: Routledge.

Watkins, M. W. (2000). Monte Carlo PCA for parallel analysis. State College, PA: Ed & Psych Associates.

Wood, T., & Turner-Vorbeck, T. (2001). Extending the conception of the mathematics teaching. In T. Wood, B. S. Nelson, & J. Warfield (Eds.), Beyond classical pedagogy (pp. 185–208). Mahwah, NJ: Lawrence Erlbaum.

Yang, Y., & Green, S. B. (2011). Coefficient alpha: A reliability coefficient for the 21st century? Journal of Psychoeducational Assessment, 29(4), 377–392.CrossRef

Zaragoza, J. M., & Fraser, B. J. (2017). Field-study classrooms as positive and enjoyable learning environments. Learning Environments Research, 20(1), 1–20.CrossRef

Zwick, W. R., & Velicer, W. F. (1986). Comparison of five rules for determining the number of components to retain. Psychological Bulletin, 99, 432–442.CrossRef

Titel: Students’ perceptions of mathematics classroom learning environments: measurement and associations with achievement
verfasst von: Venkata L. N. Aluri
Barry J. Fraser
Publikationsdatum: 26.04.2019
Verlag: Springer Netherlands
Erschienen in: Learning Environments Research / Ausgabe 3/2019
Print ISSN: 1387-1579
Elektronische ISSN: 1573-1855
DOI: https://doi.org/10.1007/s10984-019-09282-1

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