Effectiveness of structural feedback provided by pathfinder networks

Journal of Educational Computing Research

Volumn 43, Issue 1, 2010, Pages 7-24

  Trumpower, David ^a   Sarwar, Gul ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77954880746     PISSN: 07356331     EISSN: None     Source Type: Journal    
DOI: 10.2190/EC.43.1.b     Document Type: Article

References (43)

1. Anderson, J. R. (1995). ACT-R: A simple theory of complex cognition. American Psychologist, 51(4), 355-365.
2. Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y. (2004). An integrated theory of the mind. Psychological Review, 111(4), 1036-1060.
3. Azzarello, J. (2007). Use of the pathfinder scaling algorithm to measure students' structural knowledge of community health nursing. Journal of Nursing Education, 46(7), 313-318.
4. Baser, M., & Geban, O. (2007). Effectiveness of conceptual change instruction on understanding of heat and temperature concepts. Research in Science & Technological Education, 25(1), 115-133.
5. Baxter, G. P., Elder, A. D., & Glaser, R. (1996). Knowledge-based cognition and performance assessment in the science classroom. Educational Psychologist, 31, 133-140.
6. Beasley, R., & Waugh, M. (1996). The effects of content-structure focusing on learner structural knowledge acquisition, retention, and disorientation in a hypermedia environment. Journal of Research on Computing in Education, 28(3), 271-282.
7. Beatty, I. D., & Gerace, W. J. (2009). Technology-enhanced formative assessment: A research-based pedagogy for teaching science with classroom response technology. Journal of Science Education and Technology, 18(2), 146-162.
8. Bell, B., & Cowie, B. (2001). The characteristics of formative assessment in science education. Science Education, 85, 536-553.
9. Biglan, A. (1973). The characteristics of subject matter in different academic areas. Journal of Applied Psychology, 57, 204-213.
10. Black, P., & William, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7-74.
11. Chang, K. E., Sung, Y. T., & Chen, S. F. (2001). Learning through computer-based concept mapping with scaffolding aid. Journal of Computer Assisted Learning, 17, 21-33.
12. Clariana, R. B., Koul, R., & Salehi, R. (2006). The criterion-related validity of a computer-based approach for scoring concept maps. International Journal of Instructional Media, 33(3), 317-325.
13. Clariana, R. B., & Marker, A. W. (2007). Generating topic headings during reading of screen-based text facilitates learning of structural knowledge and impairs learning of lower-level knowledge. Journal of Educational Computing Research, 37(2), 173-191.
14. Clariana, R. B., & Wallace, P. E. (2007). A computer-based approach for deriving and measuring individual and team knowledge structure from essay questions. Journal of Educational Computing Research, 37(3), 209-225.
15. Crisp, V., & Ward, C. (2008). The development of a formative scenario-based computer assisted assessment tool in psychology for teachers: The PePCAA project. Computers & Education, 50, 1509-1526.
16. d'Appolonia, S. T., Charles, E. S., & Boyd, G. M. (2004). Acquisition of complex systemic thinking: Mental models of evolution. Educational Research and Evaluation, 10, 499-521.
17. Darling-Hammond, L., Ancess, S., & Falk, B. (1995). Authentic assessment in action: Studies of schools and students at work. New York: Teachers College Press.
18. Day, E. A., Arthur, W. Jr., & Gettman, D. (2001). Knowledge structures and the acquisition of a complex skill. Journal of Applied Psychology, 86, 1022-1033.
19. Earl, L. (2003). Assessment as learning: Using classroom assessment to maximise student learning. Thousand Oaks, CA: Corwin Press.
20. Fiore, S. M., Cuevas, H. M., & Oser, R. L. (2003). A picture is worth a thousand connections: The facilitative effects of diagrams on mental model development and task performance. Computers in Human Behavior, 19, 185-199.
21. Goldsmith, T. E., & Davenport, D. M. (1990). Assessing structural similarity of graphs. In R. W. Schvaneveldt (Ed.), Pathfinder associative networks: Studies in knowledge organization (pp. 75-87). Norwood, NJ: Ablex.
22. Goldsmith, T. E., & Johnson, P. J. (1990). A structural assessment of classroom learning. In R. W. Schvaneveldt (Ed.), Pathfinder associative networks: Studies in knowledge organization (pp. 241-253). Norwood, NJ: Ablex.
23. Goldsmith, T. E., Johnson, P. J., & Acton, W. H. (1991). Assessing structural knowledge. Journal of Educational Psychology, 83(1), 88-96.
24. Halloun, I. A. & Hestenes, D. (1985). Common-sense concepts about motion. American Journal of Physics, 53(11), 1056-1065.
25. Jonassen, D. H., Beissner, K., & Yacci, M. (1993). Structural knowledge: Techniques for representing, conveying, and acquiring structural knowledge. Hillsdale, NJ: Erlbaum.
26. Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). The expertise reversal effect. Educational Psychologist, 38, 23-31.
27. Keppens, J., & Hay, D. (2008). Concept map assessment for teaching computer programming. Computer Science Education, 18(1), 31-42.
28. Marshall, S. P. (1995). Schemas in problem solving. New York: Cambridge University Press.
29. McGaghie, W. C., McCrimmon, D. R., Mitchell, G., Thompson, J. A., & Ravitch, M. M. (2000). Quantitative concept mapping in pulmonary physiology: Comparison of student and faculty knowledge structures. Advances in Physiology Education, 23, 72-81.
30. McManus, S. (2006). Attributes of effective formative assessment. Retrieved July 31, 2009 from The Council of Chief State School Officers website: http://www.ncpublicschools.org/docs/accountability/educators/ fastattributes04081.pdf
31. National Research Council (NRC). (2000). How people learn: Brain, mind, experience, and school. Washington, DC: National Academy Press.
32. National Research Council (NRC). (2001). Knowing what students know: The science and design of educational assessment. Washington, DC: National Academy Press.
33. Ontario Ministry of Education. (2008). Growing success: Assessment, evaluation, and reporting: Improving student learning. Toronto, ON: Author.
34. Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design: Recent developments. Educational Psychologist, 38, 1-4.
35. Renkl, A., Atkinson, R. K., & Grobe, C. S. (2004). How fading worked solution steps works-A cognitive load perspective. Instructional Science, 32, 59-82.
36. Schvaneveldt, R. W. (1990). Pathfinder associative networks: Studies in knowledge organization. Norwood, NJ: Ablex.
37. Schvaneveldt, R. W., Sitze, K., & McDonald, J. (1989). Knowledge Network Organizing Tools (KNOT 4.3) [Computer software for Pathfinder Network analysis]. Gilbert, AZ: Interlink. Retrieved October 31, 2007. Available from http://interlinkinc.net/
38. Shute, V. J. (2008). Focus on formative feedback. Review of Educational Research, 78(1), 153-189.
39. Sweller, J., & Chandler, P. (1994). Why some material is difficult to learn. Cognition and Instruction, 12, 185-233.
40. Thornton, R. K., & Sokoloff, D. R. (1998). Assessing student learning of Newton's laws: The force and motion conceptual evaluation and the evaluation of active learning laboratory and lecture curricula. American Journal of Physics, 66(4), 338-352.
41. Trumpower, D. L., & Goldsmith, T. E. (2004). Structural enhancement of learning. Contemporary Educational Psychology, 29, 426-446.
42. Trumpower, D. L., Sharara, H., & Goldsmith, T. E. (2010). Specificity of structural assessment of knowledge. Journal of Teaching, Learning, and Assessment, 8(5), 1-32.
43. Zelik, M., Schau, C., & Mattern, N. (1999). Conceptual astronomy. II. Replicating conceptual gains, probing attitude changes across three semesters. American Journal of Physics, 67(10), 923-927.