Using centrality of concept maps as a measure of problem space states in computer-supported collaborative problem solving

Educational Technology Research and Development

Volumn 61, Issue 3, 2013, Pages 423-442

  Clariana, Roy B ^a   Engelmann, Tanja ^b   Yu, Wu ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b KNOWLEDGE MEDIA RESEARCH CENTER   (Germany)

Author keywords

Assessment; Computer supported collaborative learning; Concept maps; Graph centrality; Multidimensional scaling; Problem solving

Indexed keywords

EID: 84878114084     PISSN: 10421629     EISSN: 15566501     Source Type: Journal    
DOI: 10.1007/s11423-013-9293-6     Document Type: Article

References (37)

1. Bavelas, A. (1948). A mathematical model for group structures. Human Organization, 7, 16-30.
2. Chi, M. T. H., & Glaser, R. (1985). Problem solving ability. In R. J. Sternberg (Ed.), Human abilities: An information processing approach (pp. 227-250). New York: W. H. Freeman and Company.
3. Clariana (2005). Utilizing concept maps and other approaches for acquiring, eliciting, representing, and comparing structural knowledge. A presentation at the Educational Technology Research Unit, University of Oulu, Finland. http://www. personal. psu. edu/faculty/r/b/rbc4/edtech_monday. ppt. Accessed 17 April 2013.
4. Clariana, (2010). Deriving group knowledge structure from semantic maps and from essays. In D. Ifenthaler, P. Pirnay-Dummer, & N. M. Seel (Eds.), Computer-based diagnostics and systematic analysis of knowledge (pp. 117-130). New York: Springer. doi: 10. 1007/978-1-4419-5662-0_7.
5. Clariana, Draper, D., & Land, S. M. (2011). An automated measure of group knowledge structure convergence. A presentation at the Annual Meeting of the Association for Educational Communications and Technology, Jacksonville, FL. http://www. personal. psu. edu/rbc4/AECT_2011. pdf. Accessed 17 April 2013.
6. Dörner, D. (1987). On the difficulties people have in dealing with complexity. In J. Rasmussen, K. Duncker, & J. Leplat (Eds.), New technology and human error (pp. 97-109). Chichester: Wiley. doi: 10. 1177/104687818001100108.
7. Dörner, D. (1996). The logic of failure: Recognizing and avoiding error in complex situations. Reading: Merloyd Lawerence Books.
8. Engelmann, & Hesse, F. W. (2010). How digital concept maps about collaborators' knowledge and information influence computer-supported collaborative problem solving. Computer-Supported Collaborative Learning, 5, 299-319. doi: 10. 1007/s11412-010-9089-1.
9. Ericsson, K. A., & Simon, J. (1980). Verbal reports as data. Psychological Review, 87(3), 215-251. doi: 10. 1037/0033-295X. 87. 3. 215.
10. Eseryel, D., Ge, X., Ifenthaler, D., & Law, V. (2011a). Dynamic modeling as a cognitive regulation scaffold for developing complex problem-solving skills in an educational massively multiplayer online game environment. Journal of Educational Computing Research, 45(3), 265-286. doi: 10. 2190/EC. 45. 3. a.
11. Eseryel, D., Ifenthaler, D., & Ge, X. (2011b). Alternative assessment strategies for complex problem solving in game-based learning environments. In D. Ifenthaler, P. Kinshuk, D. Isaias, G. Sampson, & J. M. Spector (Eds.), Multiple perspectives on problem solving and learning in the digital age (pp. 159-178). New York: Springer.
12. Freeman, L. C. (1978). Centrality in social networks conceptual clarification. Social Networks, 1, 215-239. doi: 10. 1016/0378-8733(78)90021-7.
13. Funke, J. (1991). Solving complex problems: Exploration and control of complex systems. In R. J. Sternberg & P. A. Frensch (Eds.), Complex problem solving: Principles and mechanisms (pp. 185-222). Hillsdale: Lawrence Erlbaum Associates, Inc.
14. Funke, J. (2003). Problemlösendes Denken. Stuttgart: Kohlhammer.
15. Funke, J. (2012). Complex problem solving. In N. M. Seel (Ed.), Encyclopedia of the sciences of learning (pp. 682-685). New York: Springer.
16. Gijbels, D., Dochy, F., van den Bossche, P., & Segers, M. (2005). Effects of problem-based learning: A meta-analysis from the angle of assessment. Review of Educational Research, 75, 27-61. doi: 10. 3102/00346543075001027.
17. Giljers, H., Saab, N., van Joolingen, W. R., De Jong, T., & van Hout-Wolters, B. H. A. M. (2009). Interaction between tool and talk: How instruction and tools support consensus building in collaborative inquiry-learning environments. Journal of Computer Assisted Learning, 25(3), 252-267. doi: 10. 1111/j. 1365-2729. 2008. 00302. x.
18. Haiyue, J., & Yoong, W. K. (2010). A network analysis of concept maps of triangle concepts. In L. Sparrow, B. Kissane, & C. Hurst (Eds.), Shaping the future of mathematics education: Proceedings of the 33rd annual conference of the Mathematics Education Research Group of Australia (MERGA). Fremantle, Australia, July 2010. http://www. merga. net. au/documents/MERGA33_Haiyue&Wong. pdf. Accessed 17 April 2013.
19. Harper, M. E., Hoeft, R. M., Evans, A. W., III, & Jentsch, F. (2004). Practically scoring concept maps for the assessment of trainee's knowledge structures. Paper presented at the Human Factors and Ergonomics Society 48th Annual Meeting in the Proceedings for the Human factors and Ergonomics Society, New Orleans, Illinois: Human Factors and Ergonomics Society. doi: 10. 1177/154193120404802219.
20. Hay, D. B., & Kinchin, I. M. (2006). Using concept maps to reveal conceptual typologies. Education and Training, 48, 127-142. doi: 10. 1108/00400910610651764.
21. Hong, N. S. (1998). The relationship between well-structured and ill-structured problem solving in multimedia simulation. Unpublished Dissertation, The Pennsylvania State University. http://www. cet. edu/pdf/structure. pdf. Accessed 17 April 2013.
22. Ifenthaler, D. (2010). Relational, structural, and semantic analysis of graphical representations and concept maps. Educational Technology Research and Development, 58, 81-97. doi: 10. 1007/s11423-008-9087-4.
23. Ifenthaler, D. (2012). Determining the effectiveness of prompts for self-regulated learning in problem-solving scenarios. Educational Technology and Society, 15, 38-52.
24. Jonassen, D. H. (2011). Learning to solve problems: a handbook for designing problem-solving learning environments. New York: Taylor and Francis. doi: 210-D/2011-01.
25. Jonassen, D. H., Beissner, K., & Yacci, M. (1993). Structural knowledge: techniques for representing, conveying, and acquiring structural knowledge. Hillsdale: Lawrence Erlbaum Associates.
26. Keller, T., Gerjets, P., Scheiter, K., & Garsoffky, B. (2006). Information visualizations for knowledge acquisition: the impact of dimensionality and color coding. Computers in Human Behavior, 22, 43-65. doi: 10. 1016/j. bbr. 2011. 03. 031.
27. Kim, M. K. (2012). Cross-validation study of methods and technologies to assess mental models in a complex problem solving situation. Computers in Human Behavior, 28, 703-717. doi: 10. 1016/j. chb. 2005. 01. 006.
28. Kinchin, I. M., Hay, D. B., & Adams, A. (2000). How a qualitative approach to concept map analysis can be used to aid learning by illustrating patterns of conceptual development. Educational Research, 42, 43-57. doi: 10. 1080/001318800363908.
29. Mayer, R. (1992). Thinking, problem solving, cognition (2nd ed.). New York: W H Freeman and Company.
30. McKeown, J. O. (2008). Using annotated concept map assessments as predictors of performance and understanding of complex problems for teacher technology integration. Doctoral dissertation, Florida State University. http://diginole. lib. fsu. edu/. Accessed 17 April 2013.
31. Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs: Prentice-Hall.
32. Pirnay-Dummer, P., & Ifenthaler, D. (2010). Automated knowledge visualization and assessment. In D. Ifenthaler, P. Pirnay-Dummer, & N. M. Seel (Eds.), Computer-based diagnostics and systematic analysis of knowledge (pp. 77-115). New York: Springer. doi: 10. 1007/978-1-4419-5662-0_6.
33. Sarmiento-Klapper, J. W. (2009). The sequential co-construction of the joint problem space. In G. Stahl (Ed.), Studying virtual math teams (pp. 83-98). New York: Springer. doi: 10. 1007/978-1-4419-0228-3_6.
34. Spector, J. M. (2010). Mental representations and their analysis: An epistemological perspective. In D. Ifenthaler, P. Pirnay-Dummer, & N. M. Seel (Eds.), Computer-Based Diagnostics and Systematic Analysis of Knowledge (pp. 27-40). New York: Springer. doi: 10. 1007/978-1-4419-5662-0_7.
35. Wegner, D. M. (1995). A computer network model of human transactive memory. Social Cognition, 13(3), 319-339. doi: 10. 1521/soco. 1995. 13. 3. 319.
36. Wouters, P., van der Spek, E. D., & van Oostendorp, H. (2011). Measuring learning in serious games: a case study with structural assessment. Educational Technology Research and Development, 59, 741-763. doi: 10. 1007/s11423-010-9183-0.
37. Yin, Y., Vanides, J., Ruiz-Primo, M. A., Ayala, C. C., & Shavelson, R. J. (2005). A comparison of two construct-a-concept-map science assessments: created linking phrases and selected linking phrases. Journal of Research in Science Teaching, 42, 166-184. doi: 10. 1002/tea. 20049.