Abstract
Textbooks are important sources from which students obtain knowledge. The inadequate and inconsistent scientific knowledge presented in science textbooks can negatively affect students’ conceptions. Different learning theories should be applied when preparing educational material, especially textbooks. Research shows that an adequate combination of both, visual and verbal, aspects of presenting science concepts is ideal. Visual-verbal learning allows students to reconcile the two modes and compare carefully the information available in the picture with the explanation in the text. Research also shows that around 90 % of students learn science using some form of text, but important conclusions are that science texts do not significantly contribute to quality learning in science education. Science textbooks demand that the learner integrates quite complicated science concepts, together with language abilities (scientific vocabulary and syntax and also capability of reading, writing and oral communicating), visualisation materials (different images, symbols, comic-strip style, etc.) and format in the science text. This chapter also focuses on the analysis of the data gathering techniques and instruments which are used in the qualitative research, especially the text analyse, which is the basis for the in-depth science textbook content analysis. A special emphasis of this chapter is also to present the criteria which serve the purpose of finding out the quality of teaching material.
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References
Adadan, E., & Savasci, F. (2011). An analysis of 16–17-year-old students’ understanding of solution chemistry concepts using a two-tier diagnostic instrument. International Journal of Science Education, (accepted for publication).
Ahtineva, A. (2005). Textbook analysis in the service of chemistry teaching. Universitas Scientiarum, 10, 25–33.
Ametller, J., & Pinto, R. (2002). Students’ reading of innovative images of energy at secondary school level. International Journal of Science Education, 24(3), 285–312.
Atkinson, P. (1992). The ethnography of a medical setting: Reading, writing and rhetoric. Qualitative Health Research, 2(4), 451–474.
Billings, E. M. H., & Klanderman, D. (2000). Graphical representations of speed: Obstacles in preservice K-8 teachers experience. School Science and Mathematics, 100(8), 440–451.
Bogdan, R. C., & Biklen, K. S. (2003). Qualitative research for education. An introduction to theory and methods. Boston: Allyn and Bacon.
Bunce, D. M., & Gabel, D. (2002). Differential effects in the achievement of males and females of teaching the particulate nature of chemistry. Journal of Research in Science Teaching, 39(10), 911–972.
Carvalho, G. S., Silva, R., & Clément, P. (2005). Historical analysis of Portuguese primary school textbooks (1920–2005) on the topic of digestion. A paper presented at the International History, Philosophy, Sociology & Science Teaching conference IHPST 2005, Leeds. Retrieved December 14, 2006, from http://www.ihpst2005.leeds.ac.uk/papers.htm
Clifford, P. (2002). The pressure-flow hypothesis of phloem transport: misconceptions in the A-level textbooks. Journal of Biological Education, 36(3), 110–112.
Constable, H., Campbell, B., & Brown, R. (1988). Sectional drawings from science textbooks: An experimental investigation into pupils’ understanding. British Journal of Educational Psychology, 58(1), 89–102.
Cook, M. (2008). Students’ comprehension of science concepts depicted in textbook illustrations. Electronic Journal of Science Education, 12(1), 1–14.
CPI Quality criteria for teaching materials. Retrieved January 10, 2012, from http://www.cpi.si/en/
Davidowitz, B., Chittleborough, G., & Murray, E. (2010). Student-generated submicro diagrams: A useful tool for teaching and learning chemical equations and stoichiometry. Chemistry Education Research and Practice, 11(3), 154–164.
de Berg, K. (2012). A study of first-year chemistry students’ understanding of solution concentration at the tertiary level. Chemistry Education Research and Practice, 13(1), 8–16.
Devetak, I. (2005). Explaining the latent structure of understanding submicropresentations in science. Unpublished Ph.D. thesis, Faculty of Education, University of Ljubljana, Ljubljana.
Devetak, I., Vogrinc, J., & Glažar, S. A. (2009). Assessing 16-year-old students’ understanding of aqueous solution at submicroscopic level. Research in Science Education, 39(2), 157–179.
Devetak, I., Vogrinc, J., & Glažar, S. A. (2010). States of matter explanations in Slovenian textbooks for students aged 6 to 14. International Journal of Environmental and Science Education, 5(2), 217–235.
Dimopoulos, K., Koulaidis, V., & Sklaveniti, S. (2003). Towards an analysis of visual images in school science textbooks and press articles about science and technology. Research in Science Education, 33(2), 189–216.
Haggarty, L., & Pepin, B. (2002). An investigation of mathematics textbooks and their use in English, French and German classrooms: Who gets an opportunity to learn about? British Educational Research Journal, 28(4), 567–590.
Han, J., & Roth, W.-M. (2005). Chemical inscriptions in Korean textbooks: Semiotics of macro- and microworld. Science Education, 90(2), 173–201.
Irez, S. (2009). Nature of science as depicted in Turkish biology textbooks. Science Education, 93(3), 422–447.
Johnstone, A. H. (1982). Macro- and micro-chemistry. School Science Review, 64(227), 377–379.
Kelly, R. M., & Jones, L. L. (2008). Investigating students’ ability to transfer ideas learned from molecular animations of the dissolution process. Journal of Chemical Education, 85(2), 303–309.
Kesidou, S., & Roseman, J. E. (2002). How well do middle school science programs measure up? Findings from Project 2061’s curriculum review. Journal of Research in Science Teaching, 39(6), 522–549.
Kovač, M., & Kovač Šebart, M. (2004). Učbeniki v postsocialističnih državah: nastavki za primerjalno analizo. Knjižnica, 48(3), 7–31.
Kovač, M., Kovač Šebart, M., Krek, J., Štefanc, D., & Vidmar, T. (2005). Učbeniki in družba znanja. Ljubljana: Pedagoška fakulteta. Znanstveni inštitut Filozofske fakultete. Univerza v Ljubljani.
Levie, W. H., & Lentz, R. (1982). Effects of text illustrations. Educational Communication and Technology, 30(4), 195–232.
MartĂnez-Gracia, M. V., Gil-QuĂlez, M. J., & Osada, J. (2006). Analysis of molecular genetics content in Spanish secondary school textbooks. Journal of Biological Education, 40(2), 35–60.
Mayer, R. E. (1997). Multimedia learning: Are we asking the right questions? Educational Psychologist, 32(1), 1–19.
Papageorgiou, G., & Johnson, P. (2005). Do particle ideas help or hinder pupils’ understanding of phenomena? International Journal of Science Education, 27(11), 1299–1317.
Peacock, A., & Gates, S. (2000). Newly qualified primary teachers’ perceptions of the role of text material in teaching science. Research in Science & Technological Education, 18(2), 155–171.
Reid, D. J., Briggs, N., & Beveridge, M. (1983). The effect of pictures upon the readability of a school science topic. British Journal of Educational Psychology, 53(3), 327–335.
Silverman, D. (2001). Interpreting qualitative data: Methods for analysing text, talk and interaction. London: Sage.
Stern, L., & Roseman, J. (2004). Can middle school science textbooks help students learn important ideas? Findings from Project 2061’ curriculum evaluation study: Life science. Journal of Research in Science Teaching, 41(6), 538–568.
Stylianidou, F., Ormerod, F., & Ogborn, J. (2002). Analysis of science textbook pictures about energy and pupils’ readings of them. International Journal of Science Education, 24(3), 257–283.
Svetlik, K., Japelj Pavešić, B., Kozina, A., Rožman, M., & Šteblaj, M. (2008). Naravoslovni dosežki Slovenije v raziskavi, TIMSS 2007. Ljubljana: Pedagoški inštitut.
Valverde, G. A., Bianchi, L. J., Wolfe, R. G., Schmidt, W. H., & Houang, R. T. (2002). According to the book: Using TIMSS to investigate the translation of policy into practice through the world of textbooks. Dordrecht: Kluwer.
Vasu, E. S., & Howe, A. C. (1989). The effect of visual and verbal modes of representation on children’s retention of images and words. Journal of Research in Science Teaching, 26(5), 401–407.
Vogrinc, J. (2005). The use of triangulation in the methodology of qualitative research. In B. Kožuh (Ed.), Measurement and assessment in educational and social research (pp. 241–249). Exeter: University.
Wang, H-C. A. (1998). Science textbook studies reanalysis: Teachers “friendly” content analysis methods? A paper presented at the annual meeting of NARST, San Diego.
Williamson, V. M., & Abraham, M. R. (1995). The effects of computer animation on the particulate mental models of college chemistry students. Journal of Research in Science Teaching, 32(5), 521–534.
Wu, H. K., Krajcik, J. S., & Soloway, E. (2001). Promoting understanding of chemical representations: Students’ use of a visualization tool in the classroom. Journal of Research in Science Teaching, 38(7), 821–842.
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Devetak, I., Vogrinc, J. (2013). The Criteria for Evaluating the Quality of the Science Textbooks. In: Khine, M. (eds) Critical Analysis of Science Textbooks. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4168-3_1
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