Students' Visualization of Metallic Bonding and the Malleability of Metals

International Journal of Science Education

Volumn 36, Issue 8, 2014, Pages 1373-1407

  Cheng, Maurice M W ^a   Gilbert, John K ^b,c  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b KING'S COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF READING   (United Kingdom)

Author keywords

Dual coding theory; Metallic bonding; Students' learning; Visual representation

Indexed keywords

EID: 84899990849     PISSN: 09500693     EISSN: 14645289     Source Type: Journal    
DOI: 10.1080/09500693.2013.867089     Document Type: Article

References (26)

1. Ben-Zvi, R., Eylon, B.-S., & Silberstein, J. (1986). Is an atom of copper malleable? Journal of Chemical Education, 63(1), 64-66. doi: 10.1021/ed063p64
2. Bucat, B., & Mocerino, M. (2009). Learning at the sub-micro level: Structural representations. In J. K. Gilbert & D. Treagust (Eds.), Multiple representations in chemical education (pp. 11-29). Dordrecht: Springer.
3. Carr, M. (1984). Model confusion in chemistry. Research in Science Education, 14, 97-103. doi: 10.1007/BF02356795
4. Cheng, M. M. W., & Gilbert, J. K. (2009). Towards a better utilization of diagrams in research into the use of representational levels in chemical education. In J. K. Gilbert & D. Treagust (Eds.), Multiple representations in chemical education (pp. 55-73). Dordrecht: Springer.
5. Cheng, M. M. W., & Gilbert, J. K. (in press). Teaching stoichiometry with particulate diagrams-linking macro phenomena and chemical equations. In B. Eilam & J. K. Gilbert (Eds.), Science teachers' use of visual representations. Dordrecht: Springer Science+Business Media B.V.
6. Chi, M. T. H. (2008). Three types of conceptual change: Belief revision, mental model transformation and categorical shift. In S. Vosniadou (Ed.), International handbook of research on conceptual change (pp. 61-82). New York, NY: Routledge.
7. Chi, M. T. H., Slotta, J. D., & De Leeuw, N. (1994). From things to processes: A theory of conceptual change for learning science concepts. Learning & Instruction, 4(1), 27-43. doi: 10.1016/0959-4752(94)90017-5
8. Coll, R. K., & Treagust, D. F. (2003). Learners' mental models of metallic bonding: A cross-age study. Science Education, 87(5), 685-707. doi: 10.1002/sce.10059
9. Erickson, F. (2006). Definition and analysis of data from videotape: Some research procedures and their rationales. In J. L. Green, G. Camilli, & P. B. Elmore (Eds.), Handbook of complementary methods in education research (pp. 177-191). Mahwah, NJ: Lawrence Erlbaum Associateso; Washington, DC: American Educational Research Association.
10. Gilbert, J. K. (2004). Models and modeling: Routes to more authentic science education. International Journal of Science and Mathematics Education, 2, 115-130. doi: 10.1007/s10763-004-3186-4
11. GilbertJ. K., & TreagustD. (Eds.). (2009). Multiple representations in chemical education. Dordrecht: Springer.
12. Hegarty, M., Carpenter, P. A., & Just, M. A. (1991). Diagrams in the comprehension of scientific texts. In R. Barr, M. L. Kamil, P. Mosenthal, & P. D. Pearson (Eds.), Handbook of reading research (Vol. 2, pp. 641-668). New York, NY: Longman.
13. Johnson, P. (1998). Progression in children's understanding of a 'basic' particle theory: A longitudinal study. International Journal of Science Education, 20(4), 393-412. doi: 10.1080/0950069980200402
14. Justi, R., & Gilbert, J. K. (1999). A cause of ahistorical science teaching: Use of hybrid models. Science Education, 83(2), 163-178. doi: 10.1002/(SICI)1098-237X(199903)83:2<163::AID-SCE5>3.0.CO;2-I
15. Myers, R. T. (1979). Physical and chemical properties and bonding of metallic elements. Journal of Chemical Education, 56(11), 712-713. doi: 10.1021/ed056p712
16. Paivio, A. (1986). Mental representations: A dual coding approach. New York, NY: Oxford University Press.
17. Paivio, A. (2007). Mind and its evolution: A dual coding theoretical approach. Mahwah, NJ: Lawrence Erlbaum Associates.
18. de Posada, J. M. (1997). Conceptions of high school students concerning the internal structure of metals and their electric conduction: Structure and evolution. Science Education, 81(4), 445-467. doi: 10.1002/(SICI)1098-237X(199707)81:4<445::AID-SCE5>3.0.CO;2-C
19. de Posada, J. M. (1999). The presentation of metallic bonding in high school science textbooks during three decades: Science educational reforms and substantive changes of tendencies. Science Education, 83(4), 423-447. doi: 10.1002/(SICI)1098-237X(199907)83:4<423::AID-SCE3>3.0.CO;2-9
20. Russ, R. S., Lee, V. R., & Sherin, B. L. (2012). Framing in cognitive clinical interviews about intuitive science knowledge: Dynamic student understandings of the discourse interaction. Science Education, 96(4), 573-599. doi: 10.1002/sce.21014
21. Shiland, T. W. (1995). What's the use of all this theory? The role of quantum mechanics in high school chemistry textbooks. Journal of Chemical Education, 72(3), 215-219. doi: 10.1021/ed072p215
22. Shiland, T. W. (1997). Quantum mechanics and conceptual change in high school chemistry textbooks. Journal of Research in Science Teaching, 34(5), 535-545. doi: 10.1002/(SICI)1098-2736(199705)34:5<535::AID-TEA7>3.0.CO;2-R
23. Shimojima, A. (2001). The graphic-linguistic distinction: Exploring alternatives. Artificial Intelligence Review, 15(1-2), 5-27. doi: 10.1023/A:1006752931044
24. Taber, K. S. (2001). Building the structural concepts of chemistry: Some considerations from educational research. Chemistry Education: Research and Practice in Europe, 2(2), 123-158.
25. Taber, K. S. (2003). Mediating mental models of metals: Acknowledging the priority of the learner's prior learning. Science Education, 87(5), 732-758. doi: 10.1002/sce.10079
26. Taber, K. S. (2013). Revisiting the chemistry triplet: Drawing upon the nature of chemical knowledge and the psychology of learning to inform chemistry education. Chemical Education Research and Practice, 14(2), 156-168. doi: 10.1039/c3rp00012e