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Visual representations of the internet in greek school textbooks and students’ experiences

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Abstract

Our research is concerned with the visual representations found in textbooks used for the teaching of the Internet in Greek secondary schools. Visualization, as both the product and the process of creation, interpretation and reflection upon pictures and images, is considered here to be very important, as it is the only way students gain insight into the nature and function of the Internet, its size, complexity and invisibility. Initially, we attempted to analyze and reflect upon school textbooks’ visual interpretations of the Internet. A scheme of categories of visual representations has been identified and reveals the characteristics of the textbooks’ representations as well as their limitations. Sketch-comics and computer snap-shots are the more popular types of Vrep, although a considerable number of them cannot be characterized as accurate and few of them have an explanatory or complementary function in terms of the content presented in the text. We have also explored the impact on students’ readings of two visual representations in one of the textbooks, used without any caption or textual information. The phenomenological aspects of the VRep seem to attract students’ attention and create obstacles in conceptualizing the main idea conveyed in both representations, but when the field of ICT is implied and not clearly portrayed in the VRep, students face serious problems in recognizing the phenomenon. It seems that it is difficult for an image on its own to paint a thousand words.

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References

  • AAAS—Project (2006). Identifying Curriculum Materials for Science Literacy: Project, A. 2061 Evaluation Tool. Available online: http://www.project2061.org/publications/articles/roseman/roseman2.htm, [retrieved on October 31, 2006]

  • Arapoglou, A., Mavoglou, C., Ikonomakos, I., & Fytros, K. (2006). Informatics for gymnasium. Athens: O.E.D.B.

    Google Scholar 

  • Arcavi, A. (2003). The role of visual representations in the learning of mathematics. Educational Studies in Mathematics, 52, 215–241. doi:10.1023/A:1024312321077.

    Article  Google Scholar 

  • Bell, A., & Janvier, C. (1981). The interpretation of graphs representing situations. For the Learning of Mathematics, 2(1), 34–42.

    Google Scholar 

  • Bishop, A. (1989). Review of research on visualization on mathematics education. Focus on Learning Problems in Mathematics, 11(1), 7–16.

    Google Scholar 

  • Bliss, J., Monk, M., & Ogborn, J. (1983). Qualitative data analysis for educational research. London: Croom Helm.

    Google Scholar 

  • Carvalho, P. S., & Sousa, A. S. (2006). Should we use colours as symbolic representations of hot and cold? Physics Education, 41(3), 263–266. doi:10.1088/0031-9120/41/3/010.

    Article  Google Scholar 

  • Cheng, M., & Gilbert, J. K. (2007). Towards a better utilization of diagrams in science education research. In: CD-ROM ESERA 2007, Full length papers, International Conference in Malmö, European Science Education Research Association (ESERA). Malmö, Sweden.

  • Claffy, K., Monk, T. E., & McRobb, D. (1999). Internet tomography. Nature: web matters. Available online: http://nature.com/nature/webmatters/tomog/tomog.html, [retrieved on May 22, 2007].

  • Cook, M. P. (2006). Visual representations in science education: the influence of prior knowledge and cognitive load theory on instructional design principles. Science Education, 90, 1073–1091. doi:10.1002/sce.20164.

    Article  Google Scholar 

  • Crisp, V., & Sweiry, E. (2006). Can a picture ruin a thousand words? The effects of visual resources in exam questions. Educational Research, 48(2), 139–154. doi:10.1080/00131880600732249.

    Article  Google Scholar 

  • Damianakis, A., Tzavaras, A., Mavoglou, C., & Dadouris, K. (2006). Informatics for gymnasium. Athens: O.E.D.B.

    Google Scholar 

  • Dodge, M. (2001). Imagining the Inner Workings of the Internet. Mappa.Mundi Magazine. Available online: htpp://mappa.mundi.net/maps_024/imageq.html, [retrieved on October 1, 2007].

  • Finkelhor, D., Mitchell, J. M., & Wolak, J. (2003). Escaping or connecting? characteristics of youth who form close online relationships. Journal of Adolescence, 26, 105–119. doi:10.1016/S0140-1971(02)00114-8.

    Article  Google Scholar 

  • Furió-Mαs, C., Luisa Catalayud, M., Guisasoia, J., & Furió-Gomez, C. (2005). How are the concepts and the theories of acid-base reactions presented? chemistry in textbooks and as presented by teachers. International Journal of Science Education, 27(11), 1337–1358.

    Article  Google Scholar 

  • Gast, J., & Barford, P. (2004). Representing the internet as a succinct forest. Computer Networks, 44(1), 35–44.

    Article  Google Scholar 

  • Giakoumakis, E., Gyrtis, K., Belesiotis, V. S., Xynos, P., & Stergiopoulou-Kalantzi, N. (2005). Applications of informatics and computers. Athens: O.E.D.B.

    Google Scholar 

  • Good, R. (1993). Editorial: science textbook analysis. Journal of Research in Science Teaching, 30, 619.

    Article  Google Scholar 

  • Katz, J. E., & Rice, R. E. (2002). Social consequences of Internet use: Access, involvement, and interaction. Cambridge, MA: MIT.

    Google Scholar 

  • King, A. B. (2006). Mapping the Unmappable: Visual representations of the Internet as Social Constructions. Center for Social Informatics Working Paper, Indiana University. Available online: http://www.slis.indiana.edu/csi/wp00-05B.html [retrieved on December 1, 2006].

  • Kollara, M., Kanellopoulos, D., & Spiliotopoulou, V. (2000). Students’ mental models and computer networks: The case of electronic mail. In: CD-Rom Proceedings of the Pan-Hellenic Conference: ICT in Education. Patras: University of Patras (In Greek).

  • Koulaidis, V., & Dimopoulos, K. (2005). The co-deployment of visual representations and written language as resources for meaning making in greek primary school science textbooks. International Journal of Learning, 12(10), 243–254.

    Google Scholar 

  • Kress, G., & Van Leeuwen, T. (1996). Reading Images: The Grammar of Visual Design. London: Routledge.

    Google Scholar 

  • Lowe, R. K. (2003). Animation and learning: selective processing of information in dynamic graphics. Learning and Instruction, 13(2), 157–176.

    Article  Google Scholar 

  • Makrakis, V. (1988). Computers in school education—The cases of Sweden and Greece. Institute of International Education, University of Stockholm.

  • Mavers, D., Somekh, B., & Restorick, J. (2002). Interpreting the externalised images of pupils’ conceptions of ICT: methods for the analysis of concept maps. Computers & Education, 38(1–3), 187–207.

    Article  Google Scholar 

  • Mayer, R. E., & Anderson, R. B. (1992). The instructive animation: helping students build connections between words and pictures in multimedia learning. Journal of Educational Psychology, 82, 715–727.

    Article  Google Scholar 

  • Mayring, P. (2000, June). Qualitative Content Analysis [28 paragraphs]. Forum Qualitative Sozialforschung / Forum: Qualitative Social Research [On-line Journal], 1(2). Available online: http://www.qualitative-research.net/fqs-texte/2-00/2-00mayring-e.htm [retrieved on December 11, 2006].

  • McCormick, B. H., DeFantim, T. A., & Brown, M. D. (1987). Visualization in scientific computing: definition, domain, and recommendations. Computer Graphics, 21, 3–13.

    Article  Google Scholar 

  • Marton, F., & Booth, S. (1997). Learning and awareness. Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Panagiotakopoulos, C. (1998). Computer and educational software. In A. Kokkos, A. Lionarakis, H. Matralis, & C. Panagiotakopoulos (Eds.), Open and distance learning—educational material and new technologies (pp. 187–326). Patras: Hellenic Open University Publications.

    Google Scholar 

  • Papastergiou, M. (2005). Students’ mental models of the internet and their didactical exploitation in informatics education. Education and Information Technologies, 10(4), 341–360.

    Article  Google Scholar 

  • Pozzer, L. L., & Roth, W. M. (2003). Prevalence, function and structure of photographs in high school biology textbooks. Journal of Research in Science Teaching, 40, 1089–1114.

    Article  Google Scholar 

  • Pozzer-Ardenghi, L., & Roth, W. M. (2004). Making sense of photographs. Science Education, 89(2), 219–241.

    Article  Google Scholar 

  • Rogers, L., & Finlayson, H. (2004). Developing successful pedagogy with information and communications technology: how are science teachers meeting the challenge? Technology, Pedagogy and Education, 13(3), 287–306.

    Article  Google Scholar 

  • Roth, W.-M., Bowen, G. M., & McGinn, M. K. (1999). Differences in graph-related practices between high school biology textbooks and scientific ecology journals. Journal of Research in Science Teaching, 36, 977–1019.

    Article  Google Scholar 

  • Schnotz, W., Picard, E., & Hron, A. (1993). How do successful and unsuccessful learners use texts and graphics? Learning and Instruction, 3, 181–199.

    Article  Google Scholar 

  • Spiliotopoulou, V., & Karatrantou, A. (2005). Students’ ideas of webpage and teaching implications. Educational Review, 39, 133–151 (In Greek).

    Google Scholar 

  • Stern, E., & Roseman, J. E. (2004). Can middle-school science textbooks help students learn important ideas? findings from project 2061’s curriculum evaluation study: life science. Journal of Research in Science Teaching, 41(6), 538–568.

    Article  Google Scholar 

  • Sun, P. C., & Cheng, H. K. (2007). The design of instructional multimedia in e-learning: a media richness theory-based approach. Computers & Education, 49(3), 662–676.

    Article  Google Scholar 

  • Tobin, K. (1990). Research on science laboratory activities: in pursuit of better questions and answers to improve learning. School Science and Mathematics, 90, 403–418.

    Article  Google Scholar 

  • Tsui, C.-Y., & Treagust, D. F. (2003). Genetics reasoning with multiple external representations. Research in Science Education, 33, 111–135.

    Article  Google Scholar 

  • Webb, M. E. (2002). Pedagogical reasoning: issues and solutions for the teaching and learning of ICT in secondary schools. Education and Information Technologies, 7(3), 237–255.

    Article  Google Scholar 

  • Winn, W. D. (1991). Learning from maps and diagrams. Educational Psychology Review, 3, 211–247.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Yan, Z. (2006). What influences children’s and adolescents’ understanding of the complexity of the internet? Developmental Psychology, 42(3), 418–428.

    Article  Google Scholar 

  • Yegenoglou, F., Faris, F., & Qadan, Q. (2000). A model for representing wide area Internet packet behavior. Paper appeared in Performance, Computing, and Communications Conference, IPCC. Conference Proceedings of the IEEE International, 167–173.

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Authors and Affiliations

  1. General Department of Education, School of Pedagogical and Technological Education (ASPETE) of Patras, Achaikis Sympoliteias 20, 26441, Patras, Greece

    Vasiliki Spiliotopoulou-Papantoniou & Anthi Karatrantou

  2. Department of Education, University of Patras, Patras, Greece

    Chris Panagiotakopoulos

  3. Department of Educational Science and Early Childhood Education, University of Patras, Patras, Greece

    Gerasimos Koustourakis

Authors
  1. Vasiliki Spiliotopoulou-Papantoniou
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  2. Anthi Karatrantou
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  3. Chris Panagiotakopoulos
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  4. Gerasimos Koustourakis
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Correspondence to Vasiliki Spiliotopoulou-Papantoniou.

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Spiliotopoulou-Papantoniou, V., Karatrantou, A., Panagiotakopoulos, C. et al. Visual representations of the internet in greek school textbooks and students’ experiences. Educ Inf Technol 14, 205–227 (2009). https://doi.org/10.1007/s10639-008-9081-9

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