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Bringing CASE in from the Cold: the Teaching and Learning of Thinking

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Abstract

Thinking Science is a 2-year program of professional development for teachers and thinking lessons for students in junior high school science classes. This paper presents research on the effects of Thinking Science on students’ levels of cognition in Australia. The research is timely, with a general capability focused on critical thinking in the newly implemented F-10 curriculum in Australia. The design of the research was a quasi-experiment with pre- and post-intervention cognitive tests conducted with participating students (n = 655) from nine cohorts in seven high schools. Findings showed significant cognitive gains compared with an age-matched control group over the length of the program. Noteworthy is a correlation between baseline cognitive score and school Index of Community Socio-Educational Advantage (ICSEA). We argue that the teaching of thinking be brought into the mainstream arena of educational discourse and that the principles from evidence-based programs such as Thinking Science be universally adopted.

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References

  • ACARA (Australian Curriculum, Assessment and Reporting Authority). (2012). The Australian Curriculum v4.0. http://www.australiancurriculum.edu.au/GeneralCapabilities/Critical-and-creative%20-thinking/. Accessed 10 Apr 2014.

  • Adey, P. (2005). Issues arising from the long-term evaluation of cognitive acceleration programs. Research in Science Education, 35, 3–22.

    Article  Google Scholar 

  • Adey, P. (2012). From fixed IQ to multiple intelligences. In P. Adey & J. Dillon (Eds.), Bad education: debunking myths in education (pp. 199–214). Maidenhead: Open University.

    Google Scholar 

  • Adey, P., & Shayer, M. (1990). Accelerating the development of formal thinking in middle and high school students. Journal of Research in Science Teaching, 27(3), 267–285.

    Article  Google Scholar 

  • Adey, P., & Shayer, M. (1994). Really raising standards: cognitive intervention and academic achievement. London: Routledge.

    Google Scholar 

  • Adey, P., Shayer, M., & Yates, C. (2001). Thinking science: the curriculum materials of the CASE project (3rd ed.). London: Nelson Thornes.

  • Adey, P., Robertson, A., & Venville, G. (2002). Effects of a cognitive acceleration programme on year 1 pupils. British Journal of Educational Psychology, 72, 1–25.

    Article  Google Scholar 

  • Allen, P., & Bennett, K. (2008). SPSS for the health and behavioural sciences. Melbourne, Australia: Thomson.

    Google Scholar 

  • Andrews, D. (2012). In search of feasible fidelity. Better Evidence-based Education, 4(2), 22–23.

    Google Scholar 

  • Andrich, D., & Styles, I. (1994). Psychometric evidence of intellectual growth spurts in early adolescence. Journal of Early Adolescence, 14(3), 328–344.

  • Babai, R., & Levit-Dori, T. (2009). Several CASE lessons can improve students’ control of variables reasoning scheme ability. Journal of Science Education and Technology, 18(5), 439–446.

    Article  Google Scholar 

  • Backwell, J. L., & Hamaker, T. (2004). Cognitive Acceleration through Technology Education (CATE): Implications for Teacher Education. e-Proceedings of epiSTEME-1 conference, December 13–17 2004, Goa, India. http://www.education.uwa.edu.au/tsa/data/assets/pdf_file/0016/1025026/CATE_implications_for_teacher_education_.pdf.

  • Bao, L., Cai, T., Koenig, K., Fang, K., Han, J., Wang, J., et al. (2009). Physics: learning and scientific reasoning. Science, 323(5914), 586–587.

  • Burke, L. A., & Williams, J. M. (2008). Developing young thinkers: an intervention aimed to enhance children’s thinking skills. Thinking Skills and Creativity, 3, 104–124.

  • Cohen, J. (1988). Statistical power analysis for the behavioural sciences (2nd ed.). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Connor, C. M., Alberto, P. A., Compton, D. L., & O’Connor, R. E. (2014). Improving reading outcomes for students with or at risk for reading disabilities: a synthesis of the contributions from the institute of education sciences research centers. In N. 2014–3000). (Ed.). Washington, DC: National Center for Special Education Research, Institute of Education Sciences, U.S. Department of Education.

  • Department for Education. (2012). Themes: thinking skills. http://www.education.gov.uk/schools/toolsandinitiatives/tripsresearchdigests/a0013261/themes-thinking-skills.

  • Deslauriers, L., Schelew, E., & Wieman, C. (2011). Improved learning in a large-enrollment physics class. Science, 332(6031), 862–864.

    Article  Google Scholar 

  • Dosenbach, N. U. F., et al. (2010). Prediction of individual brain maturity using fMRI. Science, 329(5997), 1358–1361.

    Article  Google Scholar 

  • Endler, L., & Bond, T. (2000). Changing science outcomes: cognitive acceleration in a US setting. Research in Science Education 38(2), 149–166.

  • Endler, L. C., & Bond, T. G. (2006). Tracking cognitive development with the rasch model: Empirical evidence of growth and heterogeneity. In X. Liu & J. William (Eds.), Applications of rasch measurement in science education (pp. 74–110). Maple Grove: Jam Press.

  • Frith, C. D. (2012). The role of metacognition in human social interactions. Philosophical Transactions of the Royal Society, B: Biological Sciences, 367(1599), 2213–2223. doi:10.1098/rstb.2012.0123.

    Article  Google Scholar 

  • Gallagher, A. (2008). Developing thinking with four and five year old pupils: the impact of a cognitive acceleration programme through early science skill development. Master’s Thesis., Dublin City University.

  • Gouge, K., & Yates, C. (2002). Creating a cognitive acceleration programme in the Arts: the Wigan LEA Arts project. In M. Shayer & P. Adey (Eds.), Learning intelligence. Cognitive acceleration across the curriculum from 5 to 15 years. Philadelphia: Open University.

  • Hargreaves, A., & Fullan, M. (2012). Professional capital: transforming teaching in every school. Abingdon, Oxon: Routledge.

    Google Scholar 

  • Hattie, J. (2009). Visible learning: a synthesis of over 800 meta-analyses relating to achievement. London: Routledge.

  • Hautamäki, J., Kuusela, J., & Wikström, J. (2002, July). CASE and CAME in Finland: “The second wave.” Paper presented at the 10th International Conference on Thinking, Harrogate, UK.

  • Higgins, S., Baumfield, V., Lin, M., Moseley, D., Butterworth, M., Downey, G., Gregson, M., Oberski, I., Rockett, M., & Thacker, D. (2004). Thinking skills approaches to effective teaching and learning: what is the evidence for impact on learners? In Research Evidence in Education Library. London: EPPI-Centre, Social Science Research Unit, Institute of Education, University of London.

  • Higgins, S., Hall, E., Baumfield, V., & Moseley, D. (2005). A meta-analysis of the impact of the implementation of thinking skill approaches on pupils. London: EPPI-Centre, Social Science Research Unit, Institute of Education, University of London.

    Google Scholar 

  • Higgins, S., Baumfield, V., & Hall, E. (2007). Learning skills and the development of learning capabilities. In Research Evidence in Education Library. London: EPPI-Centre, Social Science Research Unit, Institute of Education, University of London.

  • Hu, W., Adey, P., Jia, X., Liu, J., Zhang, L., Li, J., & Dong, X. (2011). Effects of a ‘learn to think’ intervention programme on primary school students. British Journal of Educational Psychology, 81(4), 531–557.

    Article  Google Scholar 

  • Iqbal, H. M., & Shayer, M. (2000). Accelerating the development of formal thinking in Pakistan secondary school students: Achievement effects and professional development issues. Journal of Research in Science Teaching, 37(3), 259–274.

  • Jensen, B., & Reichl, J. (2011). Better teacher appraisal and feedback: improving performance. Melbourne: Grattan Institute.

    Google Scholar 

  • Kaufman, S. B., DeYoung, C. G., Reis, D. L., & Gray, J. R. (2011). General intelligence predicts reasoning ability even for evolutionarily familiar content. Intelligence, 39(5), 311–322.

    Article  Google Scholar 

  • Larkin, S. (2006). Collaborative group work and individual development of metacognition in the early years. Research in Science Education, 36(1–2), 7–27.

    Article  Google Scholar 

  • Leat, D., & Lin, M. E. I. (2003). Developing a pedagogy of metacognition and transfer: some signposts for the generation and use of knowledge and the creation of research partnerships. British Educational Research Journal, 29(3), 383–415.

  • Lee, O., & Krajcik, J. (2012). Large-scale interventions in science education for diverse student groups in varied educational settings. Journal of Research in Science Teaching, 49(3), 271–280.

    Article  Google Scholar 

  • Leyser, O. (2014). What should be in the biology curriculum? School Science Review, 95(352), 43–45.

    Google Scholar 

  • Lipman, M. (1976). Philosohy for children. Metaphilosophy, 7(1), 17–39.

    Article  Google Scholar 

  • März, V., & Kelchtermans, G. (2013). Sense-making and structure in teachers’ reception of educational reform. A case study on statistics in the mathematics curriculum. Teaching and Teacher Education, 29, 13–24.

    Article  Google Scholar 

  • Mbano, N. (2003). The effects of a cognitive acceleration intervention programme on the performance of secondary school pupils in Malawi. International Journal of Science Education, 25(1), 71–87.

  • McCormack, L. (2009). Cognitive acceleration across the primary-secondary level transition. PhD Thesis, Dublin City University.

  • McGuinness, C. (1999). From thinking skills to thinking classrooms: Department for Education and Employment (UK).

  • Moll, L. C. (1990). Vygotsky and education: instructional implications and applications of sociohistorical psychology. Cambridge: Cambridge University Press.

  • OECD. (2007). PISA 2006: Science competencies for tomorrow’s world. Paris: OECD.

    Book  Google Scholar 

  • OECD. (2010). The High cost of low educational performance. Paris: OECD.

  • Oliver, M. (2011). Towards an understanding of neuroscience for science educators. Studies in Science Education, 47(2): 207–231.

  • Oliver, M., Venville, G., & Adey, P. (2012). Effects of a cognitive acceleration programme in a low socioeconomic high school in regional australia. International Journal of Science Education 34(9): 1393–1410.

  • Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2008). Learning styles. Psychological Science in the Public Interest, 9(3), 105–119.

  • Penuel, W. R., & Fishman, B. J. (2012). Large-scale science education intervention research we can use. Journal of Research in Science Teaching, 49(3), 281–304.

    Article  Google Scholar 

  • Piaget, J. (1950). The psychology of intelligence. Abingdon, UK: Routledge.

    Google Scholar 

  • Ramsden, S., Richardson, F. M., Josse, G., Thomas, M. S. C., Ellis, C., Shakeshaft, C., et al. (2011). Verbal and non-verbal intelligence changes in the teenage brain. Nature, 479, 113–116.

    Article  Google Scholar 

  • Shayer, M. (1999). Cognitive acceleration through science education II: its effects and scope. International Journal of Science Education, 21(8), 883–902.

  • Shayer, M. (2000). GCSE 1999: added-value from schools adopting the case intervention. London: King’s College.

    Google Scholar 

  • Shayer, M. (2003). Not just Piaget; not just Vygotsky, and certainly not Vygotsky as alternative to Piaget. Learning and Instruction, 13(5), 465–485.

    Article  Google Scholar 

  • Shayer, M. (2008). Intelligence for education: as described by Piaget and measured by psychometrics. British Journal of Educational Psychology, 78, 1–29.

    Article  Google Scholar 

  • Shayer, M., & Adey, P. S. (1992). Accelerating the development of formal thinking in middle and high school students III: testing the permanency of effects. Journal of Research in Science Teaching, 29(10), 1101–1115.

    Article  Google Scholar 

  • Shayer, M., & Adey, P. (2002). Learning Intelligence, Open University.

  • Shayer, M., & Adhami, M. (2007). Fostering cognitive development through the context of mathematics: results of the CAME project. Educational Studies in Mathematics, 64(3), 265–291.

    Article  Google Scholar 

  • Shayer, M., & Adhami, M. (2010). Realizing the cognitive potential of children 5–7 with a mathematics focus: post-test and long-term effects of a 2-year intervention. British Journal of Educational Psychology, 80(3), 363–379.

    Article  Google Scholar 

  • Shayer, M., & Ginsburg, D. (2009). Thirty years on – a large anti-Flynn effect? (II): 13- and 14-year-olds. Piagetian tests of formal operations norms 1976–2006/7. British Journal of Educational Psychology, 79, 409–418.

  • Shayer, M., & Wylam, H. (1978). The distribution of Piagetian stages of thinking in British middle and secondary school children. II—14- To 16-year-olds and sex differentials. British Journal of Educational Psychology, 48(1), 62–70.

    Article  Google Scholar 

  • Shayer, M., Küchemann, D. E., & Wylam, H. (1976). The distribution of Piagetian stages of thinking in British middle and secondary school children. British Journal of Educational Psychology, 46, 164–173.

  • Shayer, M., Adey, P., & Wylam, H. (1981). Group tests of cognitive development ideals and a realization. Journal of Research in Science Teaching, 18(2), 157–168.

    Article  Google Scholar 

  • Shayer, M., Ginsburg, D., & Coe, R. (2007). Thirty years on - a large anti-Flynn effect? The Piagetian test Volume & Heaviness norms 1975–2003. British Journal of Educational Psychology, 77, 25–41.

  • Stephenson, J. (2009). Best practice? Advice provided to teachers about the use of brain gym ® in Australian Schools. The Australian Journal of Education, 53(2), 109–124.

    Article  Google Scholar 

  • Styles, I. (2008). Uses and abuses of intelligence: studies advancing Spearman and Raven’s quest for non-arbitrary metrics. In J. Raven & J. Raven (Eds.), Linking psychometric and cognitive-developmental frameworks for thinking about intellectual functioning (pp. 69–98). New York, USA: Royal Fireworks.

  • Taylor, J., Roehrig, A. D., Hensler, B. S., Connor, C. M., & Schatschneider, C. (2010). Teacher quality moderates the genetic effects on early reading. Science, 328(5977), 512–514.

    Article  Google Scholar 

  • Topping, K. J., & Trickey, S. (2007). Collaborative philosophical enquiry for schoolchildren: cognitive effects at 10–12 years. British Journal of Educational Psychology, 77, 271–288.

    Article  Google Scholar 

  • Trickey, S., & Topping K. J. (2004). ‘Philosophy for children’: a systematic review. Research Papers in Education, 19(3), 365–380.

  • Trickey, S., & Topping, K. J. (2006). Collaborative philosophical enquiry for school children: socio-emotional effects at 11 to 12 years. School Psychology International, 27(5), 599–614. doi:10.1177/0143034306073417.

    Article  Google Scholar 

  • Vansieleghem, N., & Kennedy, D. (2011). What is Philosophy for Children, what is Philosophy with Children — after Matthew Lipman? Journal of Philosophy of Education, 45(2), 171–182.

  • Venville, G., Adey, P., Larkin, S., & Robertson, A. (2003). Fostering thinking through science in the early years of schooling. International Journal of Science Education, 25(11), 1313–1331.

  • Visser, B. A., Ashton, M. C., & Vernon, P. A. (2006). g and the measurement of multiple intelligences: a response to Gardner. Intelligence, 34(5), 507–510.

  • Vygotsky, L. S. (1986). In A. Kozulin (Ed.), Thought and language. Cambridge: MIT.

  • Wieman, C. (2007). Why not try a scientific approach to science education? Change: The Magazine of Higher Learning, 39(5), 9–15.

  • Wiliam, D. (2007). Three practical, policy-focused procedures for determining an accountability test’s instructional sensitivity: III: an index of sensitivity to instruction. Chicago, IL: American Educational Research Association.

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Acknowledgments

This research was supported by a grant from the Australian Research Council (DP1093877). The ideas presented in the paper are those of the authors and not the funding institution. We acknowledge the late Professor Philip Adey whose wisdom and encouragement over the years of this research was invaluable.

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Correspondence to Mary Oliver.

Appendix

Appendix

Further reading and information about the Cognitive Acceleration programs can be found:

Adey, P. (1999). “The Science of Thinking and Science for Thinking: A Description of Cognitive Acceleration Through Science Education (CASE).” UNESCO, International. http://www.ibe.unesco.org/publications/innodata/inno02.pdf.

Adey, P., Shayer, M., & Yates, C. (2001). Thinking Science -The Materials of the CASE.

Project. Nelson Thornes, Cheltenham, United Kingdom.

Adey, P., Adhami, M., Harrison, C., Hewitt, G., Hewitt, J., Larkin, S., et al. (2008). Let’s Think! Handbook: A guide to Cognitive Acceleration in the primary school. In P. Adey (Ed.). London: GL Assessment.

The newly formed “Let’s Think” consortium supports teachers working with the cognitive acceleration materials, available at http://www.letsthink.org.uk/.

Teachers TLearning Skills available at http://www.tes.co.uk/teaching-resource/Teachers-TLearning-Skills-Cognitive-Acceleration-6043665/.

Thinking Science Australia available at http://www.education.uwa.edu.au/tsa.

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Oliver, M., Venville, G. Bringing CASE in from the Cold: the Teaching and Learning of Thinking. Res Sci Educ 47, 49–66 (2017). https://doi.org/10.1007/s11165-015-9489-3

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