Conceptualization and labelling as cognitive challenges for students of data modelling

Computer Science Education

Volumn 15, Issue 2, 2005, Pages 143-161

  Holmboe, Christian ^a  

^a UNIVERSITY OF OSLO   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 45849146641     PISSN: 08993408     EISSN: 17445175     Source Type: Journal    
DOI: 10.1080/08993400500150796     Document Type: Article

References (37)

1. Batra, D, and Antony, SR. 1994. Novice errors in conceptual database design. European Journal of Information Systems, 3 (1): 57–69.
2. Batra, D, Hoffer, JA, and Bostrom, RP. 1990. Comparing representations with the relational and EER models. Communications of the ACM, 33: 126–139.
3. Booth S, 1992 Learning to Program: A phenomenographic perspective (Vol. 89), Gothenbourg: University of Göteborg
4. Chan, HC. 1998. User performance differences between relational and entity relationship models: a summary review of the literature. Behaviour & Information Technology, 17 (1): 59–61.
5. Chan, HC, and Goldstein, RC. 1997. User-database interaction at the knowledge level of abstraction. Information and Software Technology, 39 (10): 657–668.
6. Clancy, M, Stasko, J, Guzdial, M, Fincher, S, and Dale, N. 2001. Models and areas for CS education research. Computer Science Education, 11 (4): 323–341.
7. Driver, R, Asoko, H, Leach, J, Mortimer, E, and Scott, P. 1994. Constructing scientific knowledge in the classroom. Educational Researcher, 23 (7): 5–12.
8. Edwards D, 1997 Discourse and Cognition London: Sage Publication
9. Ehrlich K, Soloway E, 1984 An empirical investigation of the tacit plan knowledge in programming In J.C. Thomas & M.L. Schneider (Eds.), Human factors in computer systems (pp. 113-133) Norwood, New Jersey: Ablex Publishing Corporation
10. Hazzan, O. 2003. How students attempt to reduce abstraction in the learning of mathematics and in the learning of computer science. Computer Science Education, 13 (2): 95–122.
11. Holmboe, C. 2004. A Wittgenstein approach to the learning of OO modelling. Computer Science Education, 14 (4): 275–294.
12. Holmboe C, McIver L, George C, 2001 Research Agenda for Computer Science Education In G. Khadoda (Ed.), Proceedings of the 13th annual workshop of the Psychology of Programming Interest Group (pp. 207-223) Bournemouth, UK
13. Kolikant, YB-D. 2004. Learning concurrency as an entry point to the community of CS practitioners. Journal of Computers in Mathematics and Science Teaching, 23 (1): 21–46.
14. Kolikant, YB-D, Ben-Ari, M, and Pollack, S. 2000. The Anthropology of Semaphores. ACM SIGCSE Bulletin (Proceedings of SIGCSE Technical symposium), 32 (3): 21–24.
15. Laurillard D, 1993 Rethinking university teaching: A framework for the effective use of educational technology London: Routledge
16. Lemke JL, 1990 Talking science: Language, learning and values Norwood, NJ: Ablex
17. Littleton K, 1999 Productivity through interaction: An overview In K. Littleton & P. Light (Eds.), Learning with Computers; Analysing productive interaction (pp. 179-194) London: Routledge
18. Mcfadden FR, Hoffer JA, Prescott MB, 1998 Modern database management (5th ed.), Reading, MA: Addison Wesley
19. Mercer N, 1995 The guided construction of knowledge. Talk amongst teachers and learners Clevedon: Multilingual Matters Ltd
20. Mercer N, Wegerif R, 1999 Is ‘exploratory talk’ productive talk? In K. Littleton & P. Light (Eds.), Learning with computers. Analyzing productive interaction (pp. 79-101) London: Routledge
21. Murnane, J. 1993. The psychology of computer languages for introductory programming courses. New Ideas in Psychology, 11 (2): 213–228.
22. Pane, JF, Chotirat, R, and Myers, BA. 2001. Studying the language and structure in non-programmers' solutions to programming problems. International Journal of Human-Computer Studies, 54 (2): 237–264.
23. Peckham, J, and Maryanski, F. 1988. Semantic data models. ACM Computing Surveys, 20 (3): 153–189.
24. Potter J, 1996 Representing reality; discourse, rhetoric and social construction London: Sage Publications
25. Potter J, 1997 Discourse analysis as a way of analysing naturally occurring talk In D. Silverman (Ed.), Qualitative research: Theory, method and practice (pp. 144-160) London: Sage Publications
26. Rappaport, AT. 1998. Constructive cognition in a situated background. International Journal of Human-Computer Studies, 49 (6): 927–933.
27. Robins, A, Rountree, J, and Rountree, N. 2003. Learning and teaching programming: A review and discussion. Computer Science Education, 13 (2): 137–172.
28. Rosch ER, 1978 Principles of categorisation In E.R. Rosch & B. Lloyd (Eds.), Cognition and categorisation, Hillsdale, NJ: Laurence Erlbaum Associates
29. Roth I, 1995 Part I: Conceptual categories In V. Bruce (Ed.), Perception and representation: current issues, Buckingham: Open University Press
30. Silverman D, 1993 Interpreting qualitative data: Methods for analysing talk, text and interaction (1st ed.). London: Sage Publications
31. Soloway, E. 1985. From problems to programs via plans: The content and structure of knowledge for introductory LISP programming. Journal of Educational Computing Research, 1: 157–172.
32. Srinivasan, A, and Teeni, D. 1995. Modeling as constrained problem-solving - an empirical-study of the data modeling process. Management Science, 41 (3): 419–434.
33. Säljö R, 1998 Learning as the use of tools: A sociocultural perspective on the human-technology link In K. Littleton & P. Light (Eds.), Learning with computers. Analyzing productive interaction (pp. 144-161) London: Routledge
34. Taylor, J. 1990. Analyzing novices analyzing prolog - What stories do novices tell themselves about prolog. Instructional Science, 19 (4-5): 283–309.
35. Vygotsky L, 1986 Thought and language (A. Kozulin, Trans.), Cambridge, MA: MIT Press
36. Wenger E, 1998 Communities of practice. Learning, meaning and identity Cambridge: Cambridge University Press
37. Wood, DJ, Bruner, JS, and Ross, G. 1976. The role of tutoring in problem solving. Journal of Psychology and Psychiatry, 17: 89–100.