New Zealand and Queensland teachers' conceptions of learning: Transforming more than reproducing

Australian Journal of Educational and Developmental Psychology

Volumn 8, Issue , 2008, Pages 1-14

  Brown, Gavin T L ^a   Lake, Robert ^b   Matters, Gabrielle ^c  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

^b NovumAVI   (Australia)

^c Australian Council for Educational Research   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 39149126343     PISSN: None     EISSN: 14465442     Source Type: Journal    
DOI: None     Document Type: Article

References (54)

1. Airasian, P. W. (1997). Classroom Assessment. (3rd ed.). New York: McGraw-Hill.
2. Anthony, G. (1994). Learning strategies in the mathematics classroom: What can we learn from stimulated recall interviews? New Zealand Journal of Educational Studies, 29(2), 127-140.
3. Anthony, G. (1997). Task demands and instructional support in mathematics: Influences on strategic learning behaviours of secondary students, set: research information for teachers, (2), 6.
4. Arbuckle, J. L. (2005). AMOS (Version 6.0.0). Spring House, PA: Amos Development Corporation.
5. Barker, M. (2001). How do people learn? Understanding the learning process. In C. McGee & D. Fraser (Eds.), The Professional Practice of Teaching (2nd ed., pp. 35-66). Palmerston North, NZ: Dunmore Press.
6. Barnette, J., Orletsky, S., & Sattes, B. (1994, July). Evaluation of Teacher Classroom Questioning Behaviors. Paper presented at the Third Annual National Evaluation Institute Field Symposium, Gatlinburg, TN.
7. Biggs, J. B. (1987). Student Approaches to Learning and Studying. Research Monograph. Melbourne: ACER.
8. Biggs, J. B., & Collis, K. F. (1982). Evaluating the Quality of Learning: The SOLO Taxonomy (Structure of the Observed Learning Outcome). New York: Academic Press.
9. Boulton-Lewis, G. M., Smith, D. J. H., McCrindle, A. R., Burnett, P. C., & Campbell, K. J. (2001). Secondary teachers' conceptions of teaching and learning. Learning & Instruction, 11(1), 35-51.
10. Brown, G. T. L. (2002a). Student Beliefs about Learning: New Zealand Students in Year 11. Academic Exchange Quarterly, 6(1), 110-114.
11. Brown, G. T. L. (2002b). Teachers' Conceptions of Assessment. Unpublished Doctoral Dissertation, University of Auckland, Auckland, NZ.
12. Brown, G. T. L. (2004). Measuring attitude with positively packed self-report ratings: Comparison of agreement and frequency scales. Psychological Reports, 94, 1015-1024.
13. Brown, G. T. L. (in press). Teachers' self-reported assessment practices and conceptions: Using structural equation modelling to examine measurement and structural models. Invited chapter in T. Teo & M. S. Khine (Eds.), Structural Equation Modelling in Educational Research: Concepts and Applications. Rotterdam, NL: SensePublishers.
14. Browne, M. W., & Cudek, R. (1989). Single sample cross-validation indices for covariance structures. Multivariate Behavioral Research, 24, 445-455.
15. Browne, M. W., & Cudek, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing Structural Equation Models (pp. 136-162). Newbury Park, CA: Sage.
16. Byrne, B. M. (2001). Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming. Mahwah, NJ: LEA.
17. Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233-255.
18. Chou, C.-P., & Bentler, P. M. (1995). Estimates and tests in structural equation modeling. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, Issues, and Applications (pp. 37-55). Thousand Oaks, CA: Sage.
19. Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155-159.
20. Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood estimation from incomplete data via the EM algorithm (with discussion). Journal of the Royal Statistical Society, Series B, 39, 1-38.
21. di Sessa, A. A. (1988). Knowledge in pieces. In G. Forman & P. B. Pufall (Eds.), Constructivism in the Computer Age (pp. 49-101). Hillsdale, NJ: LEA.
22. Entwistle, N. J. (1998). Approaches to learning and forms of understanding. In B. Dart & G. Boulton-Lewis (Eds.), Teaching and Learning in Higher Education (pp. 72-101). Melbourne, Aus.: ACER.
23. Entwistle, N., & McCune, V. (2004). The conceptual bases of study strategies inventories. Educational Psychology Review, 16(4), 325-345.
24. Entwistle, N. J., & Peterson, E. R. (2004). Conceptions of learning and knowledge in higher education: Relationships with study behaviour and influences of learning environments. International Journal of Educational Research, 41, 407-428.
25. Fodor, J. A. (1998). Concepts: Where Cognitive Science Went Wrong. Oxford: Clarendon Press.
26. Fraser, D. (2001). Developing classroom culture: Setting the climate for learning. In C. McGee & D. Fraser (Eds.), The Professional Practice of Teaching (2nd ed., pp. 15-34). Palmerston North, NZ: Dunmore Press.
27. Gable, R. K., & Wolf, M. B. (1993). Instrument Development in the Affective Domain: Measuring Attitudes and Values in Corporate and School Settings. (2nd ed.). Boston, MA: Kluwer Academic Publishers.
28. Gall, M. D. (1970). The use of questions in teaching. Review of Educational Research, 40, 707-721.
29. Gall, M. D. (1984). Synthesis of research on teachers' questioning. Educational Leadership, 42(3), 40-47.
30. Green, T. F. (1971). The Activities of Teaching. New York: McGraw-Hill.
31. Howe, M. J. A. (1998). Principles of abilities and human learning. Hove, UK: Psychology Press.
32. Hoyle, R. H. (1995). The structural equation modeling approach: Basic concepts and fundamental issues. In R. H. Hoyle (Ed.), Structural Equation Modeling: Concepts, Issues, and Applications (pp. 1-15). Thousand Oaks, CA: Sage.
33. Hoyle, R. H., & Duvall, J. L. (2004). Determining the number of factors in exploratory and confirmatory factor analysis. In D. Kaplan (Ed.), The SAGE Handbook of Quantitative Methodology for Social Sciences (pp. 301-315). Thousand Oaks, CA: Sage.
34. Klem, L. (2000). Structural equation modeling. In L. G. Grimm & P. R. Yarnold (Eds.), Reading and Understanding More Multivariate Statistics (pp. 227-260). Washington, DC: APA.
35. Kloss, R. J. (1988). Toward asking the right questions: The beautiful, the pretty, and the messy ones. The Clearing House, 61, 245-248.
36. Lakoff, G., & Johnson, M. (1999). Philosophy in the Flesh: The Embodied Mind and its Challenge to Western Thought. New York: Basic Books.
37. Lam, T. C. M., & Klockars, A. J. (1982). Anchor point effects on the equivalence of questionnaire items. Journal of Educational Measurement, 19(4), 317-322.
38. Marsh, H. W., Hau, K.-T., Balla, J. R., & Grayson, D. (1998). Is more ever too much? The number of indicators per factor in confirmatory factor analysis. Multivariate Behavioral Research, 33(2), 181-220.
39. Marton, F. (1983). Beyond individual differences. Educational Psychology, 3(3&4), 289-303.
40. Marton, F., Dall'alba, G., & Beaty, E. (1993). Conceptions of learning. International Journal of Educational Research, 19, 277-300.
41. McGee, C. (1994). Classroom Interaction. In C. McGee & D. Fraser (Eds.), The Professional Practice of Teaching: An Introduction to Teaching, Learning and Curriculum (pp. 175-195). Palmerston North, NZ: Dunmore Press.
42. Osborne, J. W., & Costello, A. B. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment Research & Evaluation, 10(7).
43. Purdie, N., & Hattie, J. C. (1999). The relationship between study skills and learning outcomes: A meta-analysis. Australian Journal of Education, 43(1), 72-86.
44. Purdie, N., & Hattie, J. (2002). Assessing students' conceptions of learning. Australian Journal of Educational & Developmental Psychology, 2, 17-32.
45. Purdie, N., Hattie, J., & Douglas, G. (1996). Student conceptions of learning and their use of self-regulated learning strategies: A cross-cultural comparison. Journal of Educational Psychology, 88, 87-100.
46. Richardson, J. T. E. (2007). Mental models of learning in distance education. British Journal of Educational Psychology, 77, 253-270.
47. Rigdon, E. E. (1994). Calculating degrees of freedom for a structural equation model. Structural Equation Modeling, 1(3), 274-278.
48. Saljö, R. (1979). Learning in the Learner's Perspective. I. Some Common-Sense Conceptions. (Report No. 76). Goteborg, SE: Department of Education, University of Goteborg.
49. Sebba, J., & Maxwell, G. (2005). Queensland, Australia: An outcomes-based curriculum. In OECD (Ed.), Formative Assessment: Improving Learning in Secondary Classrooms (pp. 191-203). Paris, FR: OECD.
50. Steiger, J. H. (2000). Point estimation, hypothesis testing, and interval estimation using the RMSEA: Some comments and a reply to Hayduk and Glaser. Structural Equation Modeling, 7(2), 149-162.
51. Steh, B., & Marentič Požarnik, B. (2005). What is actually happening in secondary classrooms? The rhetoric and reality of curricular reform. In P. M. Denicolo & M. Kompf (Eds.), Connecting Policy and Practice: Challenges for Teaching and Learning in Schools and Universities (pp. 99-106). London: Routledge.
52. Tait, H., Entwistle, N. J., & McCune, V. (1998). ASSIST: A reconceptualisation of the Approaches to Studying Inventory. . In C. Rust (Ed.), Improving Student Learning: Improving Students as Learners (pp. 262-271). Oxford: Oxford Centre for Staff and Learning Development.
53. Thompson, B. (2000). Ten commandments of structural equation modeling. In L. G. Grimm & P. R. Yarnold (Eds.), Reading and Understanding More Multivariate Statistics (pp. 261-283). Washington, DC: APA.
54. Vermunt, J. D., & Vermetten, Y. J. (2004). Patterns in student learning: Relationships between learning strategies, conceptions of learning, and learning orientations. Educational Psychology Review, 29(4), 359-384.