Abstract
This paper is organised around two issues, firstly locating interests in science within science education research and secondly providing examples of four types of research-based approaches to curriculum. The first issue, from the extant literature, is concerned with present trends in science enrolments and interest in science, primarily in developed nations. Three questions organise this Section: do current science curricula achieve the intended affective (interest) and cognitive (achievement) goals; how are interests in science best measured; and what is the contribution of research on conceptual change for science achieving affective and cognitive goals? The second issue provides examples of the evaluation of innovative ‘units’ – interpreted as topics within a curriculum – in science for enhancing affective and cognitive goals, both from other colleagues and from my own work. The relative incidence and viability of the four research types are discussed. The paper concludes with recommended research needed to move the field of interests in science forward, claiming that without research to determine whether or not innovative research-based curricula or topics within a curricula are perceived by students as being interesting, and that successful learning outcomes ensue, there is little likelihood of arresting this decline of enrolments in science
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Adey, P. & Shayer, M. (1994). Really Raising Standards. London: Routledge.
Ainsworth, S. E. (1999). The functions of multiple representations. Computers & Education, 33(2/3), 131–152.
Ainsworth, S. E., Bibby, P. A. & Wood, D. J. (1997). Information technology and multiple representations: New opportunities – new problems. Journal of Information Technology for Teacher Education, 6(1), 93–104.
Alsop, S. (2005). Beyond Cartesian Dualism. Encountering Affect in the Teaching and Learning of Science. Dordrecht, The Netherlands: Springer.
Alsop, S. & Watts, M. (Eds.) (2003). Science education and affect. Special Issue, International Journal of Science Education, 25(9).
Barker, V. & Millar, R. (2000). Students’ reasoning about basic chemical thermodynamics and chemical bonding: what changes occur during a context-based post-16 chemistry course. International Journal of Science Education, 22(11), 1171–1200.
Chaimaneewong, K. (2005). Developing a Constructivist Learning Approach in Chemical Kinetics in Rajabhat University of Thailand: An Action Research Study. Unpublished Doctor of Science Education thesis, Curtin University of Technology, Perth.
Chi, M. T. H., Slotta, J. D. & de de Leeuw, N. (1994). 1994 things to processes: A theory of conceptual change for learning science concepts. Learning and Instruction, 4, 27–43.
Childs, P. E. (2002). Securing the future of chemistry: A case study of developments in chemical education in Ireland. Chemistry Education: Research and Practice in Europe, 3(3), 361–369.
Chinn, C. A. & Brewer, W. F. (1993). The role of anomalous data in knowledge acquisition: A theoretical framework and implication for science instruction. Review of Educational Research, 63(1), 1–49.
Concord Consortium. (2006). BioLogica. Retrieved 6 November 2006 http://biologica.concord.org/ webtest1/web_labs.htm
Dagher, Z. (1994). Does the use of analogies contribute to conceptual change? Science Education, 76(6), 601–614.
Dalgety, J., Coll, R. K. & Jones, A. (2003). Development of chemistry attitudes and experiences questionnaire (CAEQ). International Journal of Science Education, 40(7), 649–668.
Dekkers, J. & de Laeter, J. (2001). Enrolment trends in school science education in Australia. International Journal of Science Education, 23(5), 487–500.
Duit, R. & Treagust, D. F. (1998). Learning in science – from behaviourism towards social constructivism and beyond. In B. J. Fraser and K. Tobin (Eds.), International handbook of science education, Part 1. (pp. 3–25). Dordrecht, The Netherlands: Kluwer.
Fensham, P. J. & Kass, H. (1988). Inconsistent or discrepant events in science instruction. Studies in Science Education, 15, 1–16.
Fraser, B. J. (1981). Test of Science Related Attitudes (TOSRA). Hawthorn, Victoria. Australian Council of Educational Research.
Gardner, P. L. (1975). Attitudes to science: A review. Studies in Science Education, 2, 1–42.
Gilbert, J. K., Justi, R., Van Driel, J. H., De Jong, O. & Treagust, D. F. (2004). Securing a future for chemical education. Chemical Education: Research and Practice, 5(1), 5–14.
Goodrun, D., Hackling, M. & Rennie, L. (2001). The status and quality of teaching and learning science in Australian schools. A research report prepared for the Department of Education, Training and Youth Affairs. Canberra.
Harrison, A. G. & Treagust, D. F. (2006). Teaching and learning with analogies: Friend or Foe? In P. J. Aubusson, A. G Harrison and S. M. Ritchie (Eds.), Metaphor and Analogy in Science Education. (pp. 11–24). Dordrecht, The Netherlands: Springer.
Haas, J. (2005). The situation in industry and the loss of interest in science education. European Journal of Education, 40(4), 405–416.
Hassan, G. & Treagust, D. F. (2003). What is the future of science education in Australia? The Australian Science Teachers Journal, 49(3), 6–15.
Haussler, P. & Hoffmann, L. (2000). A curricular frame for physics education: Development, comparison with students’ interests, and impact on students’ achievement and self-concept. Science Education, 84, 689–705.
Hewson, P. & Lemberger, J. (2000). Status as the hallmark of conceptual learning. In R. Millar, J. Leach & J. Osborne (Eds.), Improving Science Education: The Contribution of Research (pp. 110–125). Buckingham, UK; Philadelphia, PA: Open University Press.
Hoffmann, L., Krapp, A., Renninger, K. A. & Baumert, J. (Eds.) (1998). Interest and Learning. Kiel, Germany: Institute for Science Education at the University of Kiel.
Jarvis, T. & Pell, A. (2002). Effect of the challenger experience on elementary children’s attitudes to science. Journal of Research in Science Teaching, 39, 979–1000.
Kattmann, U., Duit, R., Gopengiesser, H. & Komorek, M. (1995, April). Educational Reconstruction – Bringing together Issues of Scientific Clarification and Students’ Conceptions.Paper presented at the annual meeting of the National Association for Research in Science Teaching, Chicago.
Kattmann, U., Duit, R., Gopengiesser, H. & Komorek, M. (1997). Das Modell der didaktischen Rekonstruktion – Ein Rahmen für naturwissenschaftenschaftsdidaktische Forschung und Entwicklung [The model of educational reconstruction. A model for science education research and development]. Zeitschrift fuer Didaktik der Naturwissenschaften, 3(3), 3–18.
Lehrke, M., Hoffmann, L. & Gardner, P. L. (Eds.) (1985). Interests in Science and Technology Education. Institute for Science Education, University of Kiel, West Germany.
Liew, C.-W. (2004). The Effectiveness of Predict-observe-explain Technique in Diagnosing Students’ Understanding of Science and Identifying their Level of Achievement. Unpublished Doctor of Science Edcuation thesis, Curtin University Perth Australia.
Lindahl, B. (2003). Pupil’s responses to school science and technology? A longitudinal study of pathways of upper secondary school. English summary of a thesis, Kristianstad University, Sweden. Retrieved November 3 2006 from http:// www.mna.hkr.se/ ll/summary.pdf
Lindahl, B. (2005). How Does School Homework Contribute to Pupils’ Understanding and Attitudes to Science? Paper presented at the biennial meeting of the European Science Education Research Association, Barcelona, September.
Lyons, T. (2006). Different countries, same science classrooms: Students’ experiences of school science in their own words. International Journal of Science Education, 28(6), 591–613.
Malone, T. W. & Lepper, M. R. (1987). Making learning fun: A taxonomy of intrinsic motivations for learning. In R. Snow & M. Farr (Eds.), Aptitude, Learning, and Instruction: Vol. 3 Cognitive and Affective Process Analyses (pp. 223–253). Hillsdale, NJ: Erlbaum.
Maxwell, J. A. (2004). 2004 explanation, qualitative research, and scientific inquiry in education. Educational Researcher, 33(2), 3–11.
Murphy, C. & Beggs, J. (2003). 2003’s perceptions of school science. School Science Review, 84(308), 109–116.
Nature. (2002). 2002 science to the young. Nature, 417(6884), 1.
Nentwig, P. & Waddington, D. (Eds.) (2005). Making it Relevant: Context Based Learning of Science. Muenster, Germany: Waxmann Verlag Gmbh.
OECD/PISA (2004). Learning for tomorrow’s world: First results from PISA 2003. Paris: OECD.
OECD Global Science Forum. (2005). Declining Student Enrolment in Science & Technology: Is It Real? What Are The Causes? What Can Be Done? Conference held in Amsterdam The Netherlands, 14–15 November 2005. http://www.caos.nl/ocw/programme.html
Onlooker. (2005). Is science on the way out of education? The Pharmaceutical Journal, 274, 280.
Organisation for Economic Co-operation and Development. (2005). Learning for Tomorrow’s World: First Results from PISA 2003. Paris: Author.
Osborne, J., Simon, S. & Collins, S. (2003). Attitudes toward science: A review of the literature and its implications. International Journal of Science Education, 25(9), 1049–1080.
Perrier, F. & Nsengiyumva, J.-B. (2003). Active science as contribution to the trauma recovery process: preliminary indications with orphans from 1994 genocide in Rwanda. International Journal of Science Education, 25(9), 1111–1128.
Pilot, A. & Bulte, A. M. (Eds.) (2006). Context-based chemistry education. Special issue. International Journal of Science Education, 28(9).
Pintrich, P. R., Marx, R. W. & Boyle, R. A. (1993). Beyond cold conceptual change: The role of motivational beliefs and classroom contextual factors in the process of conceptual change. Review of Educational Research, 6, 167–199.
Posner, G. J., Strike, K. A., Hewson, P. W. & Gertzog, W. A. (1982). Accommodation of a scientific conception: Toward a theory of conceptual change. Science Education, 66, 211–227.
Ramsden, J. (1998). Mission impossible? Can anything be done about attitudes to science? International Journal of Science Education, 20(2), 125–137.
Schibeci, R. A. (1984). Attitudes to science: An update. Studies in Science Education, 11, 26–59.
Simpson, R. D., Koballa, T. R. Jr., Oliver, J. S. & Crawley, F. E. Jr. (1994). Research on the affective dimension of science learning. In D. Gabel (Ed.), Handbook of research on science teaching. New York: McMillan.
Teixeira dos Santos, F. M. T. & Mortimer, E. F. (2003). How emotions shape the relationship between a chemistry teacher and her high school students. International Journal of Science Education, 25(9), 1095–1110.
Thomas, J. (2002). Maths is still looking for a future in Australia. Australasian Science, 23(4), 17.
Thorley, N. R. (1990). The role of the conceptual change model in the interpretation of classroom interactions. Unpublished doctoral dissertation, University of Wisconsin-Madison, Wisconsin, USA.
TIMSS. (2006). International test scores: Poor U.S. test results tied to weak curriculum. Retrieved from http://4brevard.com/choice/international-test-scores.htm
Treagust, D. F., Harrison, A. G. & Venville, G. J. (1998). Teaching science effectively with analogies: An approach for pre-service and in-service teacher education. Journal of Science Teacher Education, 9(2), 85–101.
Treagust, D. F., Harrison, A. G., Venville, G. J. & Dagher, Z. (1996). Using an analogical teaching approach to engender conceptual change. International Journal of Science Education, 18, 213–229.
Tsui, C.-Y. & Treagust, D. F. (2003). Genetics reasoning with multiple external representations. Research in Science Education, 33, 111–135.
Tsui, C.-Y. & Treagust, D. F. (2007). Understanding genetics: Analysis of secondary students’ conceptual status. Journal of Research in Science Teaching, 44(2), 205–235.
Tyson, L. M., Venville, G. J., Harrison, A. G. & Treagust, D. F. (1997). A multi-dimensional framework for interpreting conceptual change in the classroom. Science Education, 81, 387–404.
Venville, G. J. & Treagust, D. F. (1996). The role of analogies in promoting conceptual change in biology. Instructional Science, 24, 295–320.
Venville, G. J. & Treagust, D. F. (1998). Exploring conceptual change in genetics using a multidimensional interpretive framework. Journal of Research in Science Teaching, 35, 1031–1055.
Zembylas, M. (2005). Three perspectives on linking the cognitive and the emotional in science learning: Conceptual change, socio-constructivism and poststructuralism. Studies in Science Education, 41, 91–116.
Zusho, A., Pintrich, P. R. & Coppola, B. (2003). Skill and will: the role of motivation and cognition in the learning of college chemistry. International Journal of Science Education, 25(9), 1081–1094.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer
About this paper
Cite this paper
Treagust, D.F. (2007). Research-based Innovative Units for Enhancing Student Cognitive Outcomes and Interest in Science. In: Pintó, R., Couso, D. (eds) Contributions from Science Education Research. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5032-9_2
Download citation
DOI: https://doi.org/10.1007/978-1-4020-5032-9_2
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-5031-2
Online ISBN: 978-1-4020-5032-9
eBook Packages: Humanities, Social Sciences and LawEducation (R0)