Promoting college students' knowledge acquisition and ill-structured problem solving: Web-based integration and procedure prompts

Computers and Education

Volumn 55, Issue 1, 2010, Pages 292-303

  Chen, Ching Huei ^a  

^a NATIONAL CHANGHUA UNIVERSITY OF EDUCATION   (Taiwan)

Author keywords

Adult learning; Architectures for educational technology system; Interactive learning environments; Pedagogical issues; Teaching learning strategies

Indexed keywords

ADULT LEARNING; COGNITIVE SCHEMATA; COLLEGE STUDENTS; DEVELOPING SOLUTIONS; ILL-STRUCTURED PROBLEM SOLVING; INTERACTIVE LEARNING ENVIRONMENT; PEDAGOGICAL ISSUES; PRE-SERVICE TEACHER; PROBLEM REPRESENTATION; STRUCTURED PROBLEMS; TEACHING/LEARNING STRATEGY; WEB-BASED LEARNING ENVIRONMENT;

ACCESS CONTROL; INTEGRATION; KNOWLEDGE ACQUISITION; KNOWLEDGE REPRESENTATION; MERGERS AND ACQUISITIONS; STUDENTS; TEACHING;

PROBLEM SOLVING;

EID: 77949655768     PISSN: 03601315     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compedu.2010.01.015     Document Type: Article

References (62)

1. Alexander P.A., and Judy J.E. The interaction of domain-specific and strategic knowledge in academic performance. Review of Educational Research 58 4 (1988) 375-404
2. Anderson J.R. Acquisition of cognitive skill. Psychological Review 89 4 (1982) 369-406
3. Azevedo R., Moos D.C., Greene J.A., Winters F.I., and Cromley J.G. Why is externally-facilitated regulated learning more effective than self-regulated learning with hypermedia?. Educational Technology Research and Development 56 (2008) 45-72
4. Beaton A.E., Martin M.O., Mullis I.V.S., Gonzalez E.J., Smith T.A., and Kelly D.L. Science achievement in the middle school years: IEA's third international mathematics and science study (1996), Center for the Study of Testing, Evaluation, and Educational Policy, Boston College, Boston
5. Bell P. Using argument map representations to make thinking visible for individuals and groups. In: Koschmann T., Hall R., and Miyake N. (Eds). CSCL 2: Carrying forward the conversation Vol. 2 (2002), Lawrence Erlbaum Associates, Mahwah, NJ 449-505
6. Brown A.L., Bransford J.D., Ferrara R.A., and Campione J.C. Learning, remembering, and understanding. In: Flavell J.H., and Markman E.M. (Eds). Handbook of child psychology Vol. 3 (1983), Wiley, New York 515-529
7. Chen C.-H., and Bradshaw A. The effect of web-based question prompts on scaffolding knowledge integration and ill-structured problem solving. Journal of Research on Technology in Education 39 4 (2007) 359-375
8. Chi M.T.H., deLeeuw N.D., Chiu M.H., and LaVancher C. Eliciting self-explanations improves understanding. Cognitive Science 18 3 (1994) 439-477
9. Chi M.T.H., and Glaser R. Problem-solving ability. In: Sternberg R.J. (Ed). Human abilities: An information-processing approach (1985), W. H. Freeman and Company, New York 227-250
10. Clark D., and Linn M.C. Designing for knowledge integration: The impact of instructional time. The Journal of the Learning Sciences 12 4 (2003) 451-493
11. Cohen J. Statistical power analysis for the behavioral sciences. revised edition (1977), Academic Press, New York
12. Coleman E.B. Using explanatory knowledge during collaborative problem solving in science. The Journal of the Learning Sciences 7 3&4 (1998) 387-427
13. Creswell J.W. Educational research: Planning, conducting, and evaluating quantitative and qualitative research (2002), Merrill Prentice Hall, Upper Saddle River, NJ
14. Davis E.A. Prompting middle school science students for productive reflection: Generic and directed prompts. The Journal of the Learning Sciences 12 1 (2003) 91-142
15. Davis E.A., and Linn M.C. Scaffolding students' knowledge integration: Prompts for reflection in KIE. International Journal of Science Education 22 8 (2000) 819-837
16. Feltovich P.J., Coulson R.L., and Spiro R.J. Learners' understanding of important and difficult concepts: A challenge to smart machines in education. In: Feltovich P.J., and Forbus K. (Eds). Smart machines in education (2001), MIT Press, Cambridge, MA 349-376
17. In: Feltovich P.J., Spiro R.J., Coulson R.L., and Feltovich J. (Eds). Collaboration within and among minds: Mastering complexity, individuality and in groups (1996), Lawrence Erlbaum Associates, Mahwah, NJ
18. Ge X., Chen C.-H., and Davis K. Scaffolding novice instructional designers' problem solving processes using question prompts in a web-based learning environment. Journal of Educational Computing Research 33 2 (2005) 219-248
19. Ge X., and Land S.M. Scaffolding students' problem-solving processes in an ill-structured task using question prompts and peer interactions. Educational Technology Research and Development 51 1 (2003) 21-38
20. Ge X., and Land S.M. A conceptual framework for scaffolding ill-structured problem-solving processes using question prompts and peer interactions. Educational Technology Research and Development 52 2 (2004) 5-22
21. Gick M.L. Problem-solving strategies. Educational Psychologist 21 1&2 (1986) 99-120
22. Gick M.L., and Holyoak K.J. Analogical problem solving. Cognitive Psychology 12 (1980) 306-355
23. Greene B.A., and Land S.M. A qualitative analysis of scaffolding use in a resource-based learning environment involving the World Wide Web. Journal of Educational Computing Research 23 2 (2000) 151-179
24. Hew K.F., and Knapczyk D. Analysis of ill-structured problem solving, mentoring functions, and perceptions of practicum teachers and mentors toward online mentoring in a field-based practicum. Instructional Science 35 1 (2007) 1-40
25. Heyworth R.M. Procedural and conceptual knowledge of expert and novice students for the solving of a basic problem in chemistry. International Journal of Science Education 21 2 (1999) 195-211
26. Jonassen D.H. Instructional design models for well-structured and ill-structured problem-solving learning outcomes. Educational Technology Research and Development 45 1 (1997) 65-94
27. Kapa E. A metacognitive support during the process of problem solving in a computerized environment. Educational Studies in Mathematics 47 (2001) 317-336
28. King A. Effects of training in strategic questioning on children's problem-solving performance. Journal of Educational Psychology 83 3 (1991) 307-317
29. King A. Facilitating elaborative learning through guided student-generated questioning. Educational Psychologist 27 1 (1992) 111-126
30. King A. Guiding knowledge construction in the classroom: Effects of teaching children how to question and how to explain. American Educational Research Journal 31 2 (1994) 338-368
31. King A., and Rosenshine B. Effects of guided cooperative questioning on children's knowledge construction. Journal of Experimental Education 61 2 (1993) 127-148
32. Kirschner P.A., Sweller J., and Clark R.E. Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist 41 2 (2006) 75-86
33. Kitchner K.S., and King P.M. Reflective judgment: Concepts of justification and their relationship to age and education. Journal of Applied Developmental Psychology 2 (1981) 89-116
34. Koedinger K., and Nathan M.J. The real story behind story problems: Effects of representations on quantitative reasoning. The Journal of the Learning Sciences 13 2 (2004) 129-164
35. Koschmann T., Kelson A.C., Feltovich P.J., and Barrows H.S. Computer supported problem-based learning: A principled approach to the use of computers in collaborative learning. In: Koschmann T. (Ed). CSCL: Theory and practice of an emerging paradigm (1996), Lawrence Erlbaum Associates, Mahwah, NJ 83-124
36. Lawson M.J., and Chinnappan M. Generative activity during geometry problem solving: Comparison of the performance of high-achieving and low-achieving students. Cognition and Instruction 12 1 (1994) 61-93
37. Lee C.Y., and Chen M.P. A computer game as a context for non-routine mathematical problem solving: The effects of type of question prompt and level of prior knowledge. Computers & Education 52 3 (2009) 530-542
38. Lin X. Designing metacognitive activities. Educational Technology Research and Development 49 2 (2001) 23-40
39. Linn M.C. Designing computer learning environments for engineering and computer science. The scaffolded knowledge integration framework. Journal of Science Education and Technology 4 2 (1995) 103-126
40. Linn M.C. Designing the knowledge integration environment. International Journal of Science Education 22 8 (2000) 781-796
41. Linn M.C., Clark D., and Slotta J.D. WISE design for knowledge integration. Science Education 87 4 (2003) 517-538
42. Linn M.C., and Hsi S. Computers, teachers, peers: Science learning partners (2000), Lawrence Erlbaum Associates, Mahwah, NJ
43. Marcus N., Cooper M., and Sweller J. Understanding instructions. Journal of Educational Psychology 88 (1996) 49-63
44. McNeill K.L., Lizotte D.J., Krajcik J., and Marx R.W. Supporting students' construction of scientific explanations by fading scaffolds in instructional materials. Journal of the Learning Sciences 15 (2006) 153-191
45. Miles M.B., and Huberman A.M. Qualitative data analysis. 2nd ed. (1994), SAGE Publications, Thousand Oaks
46. Osman M.E., and Hannafin M.J. Effects of advance questioning and prior knowledge on science learning. Journal of Educational Research 88 1 (1994) 5-13
47. Pressley M., Wood E., Woloshyn V.E., Martin V., King A., and Menke D. Encouraging mindful use of prior knowledge: Attempting to construct explanatory answers facilitates learning. Educational Psychologist 27 1 (1992) 91-109
48. Reese C.M., Miller K.E., Mazzeo J., and Dossey J.A. NAEP 1996 Mathematics Report Card for the Nation and the States (NCES 97-488) (1997), National Center for Education Statistics, Washington, DC
49. Resnick L.B. Constructing knowledge in school. In: Liben L.S. (Ed). Development and learning: Conflict or congruence (1987), Erlbaum, Hillsdale, NJ 19-50
50. Rittle-Johnson B. Promoting transfer: Effects of self-explanation and direct instruction. Child Development 77 (2006) 1-15
51. Roscoe R.D., and Chi M.T.H. Tutor learning: The role of explaining and responding to questions. Instructional Science 36 (2008) 321-350
52. Saye J.W., and Brush T. Scaffolding critical reasoning about history and social issues in multimedia-supported learning environment. Educational Technology Research and Development 50 3 (2002) 77-96
53. Scardamalia M., and Bereiter C. Computer support for knowledge-building communities. The Journal of the Learning Sciences 3 3 (1994) 265-283
54. Scardamalia M., Bertiter C., McLean R.S., Swallow J., and Woodruff E. Computer-supported intentional learning environments. Journal of Educational Computing Research 5 1 (1989) 51-68
55. Schoenfeld, A. H. (1989). Teaching mathematical thinking and problem solving. In L. B. Resnick & L. E. Klopfer (Eds.), Toward the thinking curriculum: Current cognitive research. (pp. 83-103). Assoication for supervision and curriculum development.
56. Simons K.D., and Klein J.D. The impact of scaffolding and student achievement levels in a problem-based learning environment. Instructional Science 35 (2007) 41-72
57. Sinnott J.D. A model for solution of ill-structured problems: Implications for everyday and abstract problem solving. In: Sinnott J.D. (Ed). Everyday problem solving: Theory and applications (1989), Praeger, New York 72-99
58. van Merrienboer J.J.G., Kirschner P.A., and Kester L. Taking the load of a learner's mind: Instructional design for complex learning. Educational Psychologist 38 1 (2003) 5-13
59. Voss J.F. Problem solving and reasoning in ill-structured domains. In: Antaki C. (Ed). Analyzing everyday explanation: A casebook of methods (1988), SAGE Publication, London 74-93
60. Voss J.F., and Post T.A. On the solving of ill-structured problems. In: Chi M.T.H., Glaser R., and Farr M.J. (Eds). The nature of expertise (1988), Lawrence Erlbaum, Hillsdale, NJ 261-285
61. Wittrock M.C. Generative processes of comprehension. Educational Psychologist 24 4 (1990) 345-376
62. Zhang J., and Norman D.A. Representations in distributed cognitive tasks. Cognitive Science 18 (1994) 87-122