Dergiler / International Journal of Environmental and Science Education (elektronik) / 2013 / Cilt: 8 - Sayı: 1

Introducing network analysis into science education:Methodological research examining secondary schoolstudents' understanding of 'decomposition'

Sayfa
175–198
Yayın Tarihi
2022-10-18
DOI
—
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

In our case study, such misconceptions stem from students' knowledge gaps, mainly concerning holistic aspects of understanding decomposition.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In the present study we used the technique of word association tests to assess students' cognitive structures during the learning period.
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Temel Bulgular & Veri:In particular, we tried to investigate what students living near a protected area in Greece (Dadia forest) knew about the phenomenon of decomposition.
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Sonuç & Katkı:In our case study, such misconceptions stem from students' knowledge gaps, mainly concerning holistic aspects of understanding decomposition.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

In the present study we used the technique of word association tests to assess students' cognitive structures during the learning period. In particular, we tried to investigate what students living near a protected area in Greece (Dadia forest) knew about the phenomenon of decomposition. Decomposition was chosen as a stimulus word because it represents a complex issue and was therefore suitable given the primary methodological objectives of this article. Specifically, we tried to develop a complete theoretical scheme for grasping aspects of complexity concerning the learning of biological concepts. Perhaps most importantly, we made an effort to introduce network analysis within the field of science education and evaluate its usefulness in assessing students' knowledge structures. Network analysis was used to manage the data from the word association test and proved to be quite efficient. It became clear that such analysis may help researchers to relate cognitive structures with underlying patterns, including misconceptions. In our case study, such misconceptions stem from students' knowledge gaps, mainly concerning holistic aspects of understanding decomposition.

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Bu Makaleye Atıf Yap

SCHİZAS, D., KATRANA, E., STAMOU, G. (2022). Introducing network analysis into science education:Methodological research examining secondary schoolstudents' understanding of 'decomposition'. International Journal of Environmental and Science Education (elektronik), Cilt: 8 - Sayı: 1, 175–198. https://ajindex.com/articles/540788

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Kaynakça (12)

  1. Abric, J.C. (1993). Central system, peripheral system: their function and roles in the dynamics of social representations. Papers on Social Representations, 2(2), 75-78.
  2. Angeles, P.A. (1981). Dictionary of philosophy. New York: Barnes & Noble Books. Augustinos, M. (1999).
  3. Ideology, False Consciousness and Psychology. Theory & Psychology, 9(3), 295-312.
  4. Ausubel, D.P., Novak, J. D., & Hanesian, H. (1978). Educational psychology: a cognitive view. New York: Holt, Rinehart & Winston. Bahar, M., Johnstone, A.H., & Sutcliffe, R.G. (1999). Investigation of students' cognitive structure in elementary genetics through word association tests. Journal of Biological Education, 33(3), 134-141.
  5. Bahar, M., & Tongac, E. (2009). The Effect of Teaching Approaches on the Pattern of Pupils' Cognitive Structure: Some Evidence from the Field. The Asia-Pacific Education Researcher, 18(1), 21-45.
  6. Baltas, A. (2002). For the epistemology of L. Althusser. Athens: Nisos Publications (In Greek). Begon, M., Townsend C., & Harper J. (2006). Ecology. From Individuals to Ecosystems. Oxford (UK): Blackwell Publishing Ltd. Bertrand, G. (1975). Pour une histoire écologique de la France rurale. In G. Duby et Wallon, A. (Eds.) Histoire de la France rurale (pp. 34-113). Paris: Ed. du Seuil. Bischoff, P., & Anderson, O.R. (2001). Development of knowledge frameworks and higher order cognitive operations among secondary school students who studied a unit on ecology. Journal of Biological Education, 35(2), 81-88.
  7. Boissevain, J. (1979). Network analysis: A reappraisal. Current Anthropology, 20(2), 392-394.
  8. Borgatti, S. (2005). Centrality and Network Flow. Social Networks, 27(1), 55-71.
  9. Borgatti, S. (2006). Identifying sets of key players in a social network. Computational and Mathematical Organization Theory, 12(1): 21-34.
  10. Borgatti, S.P. [forthcoming]. 2-Mode Concepts in Social Network Analysis. Encyclopedia of Complexity and System Science. Borgatti, S.P., & Everett, M.G. (2000). Models of core/periphery structures. Social Networks, 21(4), 375-395.
  11. Borgatti, S.P., & Everett, M.G. (2006). A graph-theoretic framework for classifying centrality measures. Social Networks, 28(4), 466-484.
  12. Borgatti, S., Everett, M., & Freeman, L. (2002). UCINET 6 for Windows: Software for Social Network Analysis. Harvard: Analytic Technologies. Borgatti, S.P., Mehra, A., Brass, D., & Labianca, G. (2009). Network analysis in the Social Sciences. Science, 323(5916), 892 - 895. Butts, C. (2008). Social network analysis: A m