Spatial ability and the impact of visualization/ animation on learning electrochemistry

International Journal of Science Education

Volumn 25, Issue 3, 2003, Pages 329-349

  Yang, Eun Mi ^a   Andre, Thomas ^a   Greenbowe, Thomas F ^b  

^a Department of Curriculum and Instruction ^*  (United States)

^b IOWA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SYSTEM; ELECTROCHEMISTRY; SPATIAL ANALYSIS; VISUALIZATION;

EID: 0344719039     PISSN: 09500693     EISSN: 14645289     Source Type: Journal    
DOI: 10.1080/09500690210126784     Document Type: Article

References (44)

1. Anderson, B. (1986) Pupils’ explanations of some aspects of chemical reactions. Science Education, 70, 549-563.
2. California Chemistry Diagnostic Test Project (1993) California Chemistry Diagnostic Test. The Examinations Institute of the American Chemical Society Division of Chemical Education. Los Angeles, CA.
3. Carter, C. S., Larussa, M. A. and Bodner, G. M. (1987) A study of two measures of spatial ability as predictors of success in different levels of general chemistry. Journal of Research in Science Teaching, 19, 697-710.
4. Dyche, S., McClijrg, P., Stepans, J. and Vfatii, M. L. (1993) Questions and conjectures concerning models, misconceptions, and spatial ability. School Science and Mathematics, 93, 191-197.
5. Frank, D. V., Baker, C. A. and Herron, J. D. (1985) Should students always use algorithms to solve problems? Journal of Chemical Education, 64, 514-515.
6. Garnett, P. J. and Hackling, M. W. (1995) Students’ alternative conceptions in chemistry: a review of research and implications for teaching and learning. Studies in Science Education, 25, 69-95.
7. Garnett, P. J. and Treagust, D. F. (1992) Conceptual difficulties experienced by senior high school students of electrochemistry: electrochemical (galvanic) and electrolytic cells. Journal of Research in Science Teaching, 29, 1079-1099.
8. Guay, R. B. (1976) Purdue Spatial Visualization Tests (Purdue Research Foundation).
9. Hodes, C. L. (1994) Processing visual information: implication of the dual code theory. Journal of Instructional Psychology, 21, 36-43
10. Huddle, P. A., White, M. D. and Rogers, F. (2000) Using a teaching model to correct known misconceptions in electrochemistry. Journal of Chemical Education, 77, 104-106
11. Ishii, H. and Yamauchi, H. (1994) A study of cognitive loading in dual coding theory.
12. Johnson, C. J., Paivio, A. U. and Clark, J. M. (1989) Spatial and verbal abilities in children’s crossmodel recognition: A dual coding approach. Canadian Journal of Psychology, 43, 41 3425.
13. Mayer, R. E. (1989) Systematic thinking fostered by illustrations in scientific text. Journal of Educational Psychology, 81, 240-246.
14. Mayer, R. E. (1994) Visual aids to knowledge construction: Building mental representations from pictures and words. In W. Schnotz and W. Kulhavy (eds), Comprehension of Graphics (Amsterdam: Elsevier Science B. V).
15. Mayer, R. E. (1995) A generative theory of textbook design: using annotated illustrations to foster meaningful learning of science text. Educational Technology Research and Development, 43, 3 1-43.
16. Mayer, R.E. and Anderson, R.B. (1991). Animations need narrations: an experimental test of a dual-coding hypothesis. Journal of Educational Psychology, 83, 484-490
17. Mayer, R. E. and Anderson, R. B. (1992) The interactive animation: helping students build connections between worlds and pictures in multimedia learning. Journal of Educational Psychology, 84, 444-452.
18. Mayer, R. E., Bove, W., Bryman, A., Mars, R. and Tapangco, L. (1996) When less is more: Meaningful learning from visual and verbal summaries of science textbook lessons. Journal of Educational Psychology, 88, 64-73.
19. Mayer, R. E. and Mayer, R. B. (1992) The instructive animation: helping students build conceptions between words and pictures in multimedia learning. Journal of Educational Psychology, 84, 444-452
20. Mayer, R. E. and Sims, V. K. (1994) For whom is a picture worth a thousand words?: Extensions of a dual-coding theory of multimedia learning. Journal of Educational Psychology, 86, 389-401.
21. Moore, R. and Miller, I. (1996) How the use of multimedia affects student retention and learning. Journal of College Science Teaching, February, 289-293.
22. Niaz, M. (1995) Progressive transitions from algorithmic to conceptual understanding in student ability to solve chemistry problems: a lakatosian interpretation. Science Education, 79, 19-36.
23. Nurrenbern, S. C. and Pickering, M. (1987) Concepts learning versus problem solving: is there a difference? Journal of Chemistry, 64, 508-510.
24. Ogude, N. A. and Bradly, J. D. (1996) Electrode processes and aspects relating to cell EMF, current, and cell components in operating electrochemical cells. Journal of Chemical Education, 73, 1145-1 149.
25. Paivio, A. (1986) Mental representations: A Dual Doding Approach (New7 York: Oxford)
26. Paivio, A. (1991) Dual coding theory: retrospect and current status. Canadian Journal of Psychology, 45, 255-287.
27. Pressley, M. and McCormick, C. B. (1995) Cognition, Teaching, Assessment (New York: HarperCollins College Publishers).
28. Pribyl, J. R. and Bodner, G. M. (1987) Spatial ability and its role in organic chemistry: a study of four organic courses. Journal of Research in Science Teaching, 24, 229-240.
29. Ray Dream (1995) RayDream Designer (Mountain View, CA: RayDream).
30. Rieber, L. P. (1990a) Using computer animated graphics in science instruction with chil-children. Journal of Educational Psychology, 82, 135-140.
31. Rieber, L. P. (1990b) A historical review' of visualization in human cognition. Educational Technology Research @ Development, 43, 45-56
32. Rieber, L. P. (1992) Computer-based microw'orlds: A bridge between constructivism and direct instruction. Educational Technology Research & Development, 40, 93-106.
33. Rieber, L. P. (1996) Animation as feedback in a computer-based simulation: representation matters. Educational Technology Research & Development, 44, 5-22.
34. Russell, J. W., Kozma, R., Jones, T., Wykoff, J., Merx, N. and Davis, J. (1997) Use of simultaneous-synchronized macroscopic, microscopic, and symbolic representations to enhance the teaching and learning of chemical concepts. Journal of Chemical Education, 74, 330-334.
35. Sadoski, M., Goetz, E. T. and Fritz, J. B. (1993) Impact of concreteness on comprehensibility, interest, and memory for text: Implications for dual coding theory and text design. Journal of Educational Psychology, 85, 291-304.
36. Sadoski, M., Paivio, A. and Goetz, E. T. (1991) A critique of schema theory in reading and a dual coding alternative. Reading Research Quarterly, 25, 463-485.
37. Sanger, M. J. and Greenbowe, T. J. (1997a) Students’ misconceptions in electrochemistry: Current flow in electrolyte solutions and salt bridge. Journal of Chemical Education, 74, 819-823.
38. Sanger, M. J. and Greenbowe, T. J. (1997b) Common student misconceptions in electrochemistry: Galvanic, electrolytic, and concentration cells. Journal of Research in Science Teaching, 34, 377-398.
39. Sanger, M. J. and Greenbowe, T. J. (1999) An analysis of college chemistry textbooks as sources of misconceptions and errors in electrochemistry. Journal of Chemical Education, 76, 853-857.
40. Szabo, M. and Poohkay, B. (1996) An experimental study of animation, mathematics achievement, and attitude toward computer-assisted instruction. Journal of Research in Education, 28, 390-402.
41. Tallant, D. P. (1993) A review of misconceptions of electricity and electrical circuits in the proceedings of the third international seminar on misconceptions and educational strategies in science and mathematics. In the Proceedings of the Third International Seminar on Misconceptions and Educational Strategies in Science and Mathematics (Ithaca, NY: Misconceptions Trust).
42. Whitnell, R. M., Fernandes, E. A., Almassizadeh, F., Love, J., Dugan, B. M., Sawrey, B. A. and Wilson, K. R. (1994) Multimedia chemistry lectures. Journal of Chemistry Education, 71, 721-725.
43. Williamson, V. M. and 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, 521-534.
44. Zoller, U. and Lubezky, A. (1985) Success on algorithmic and LOCS vs. conceptual chemistry exam questions. Journal of Chemical Education, 72, 987-989.