The effect of distributed monitoring exercises and feedback on performance, monitoring accuracy, and self-efficacy

Metacognition and Learning

Volumn 1, Issue 2, 2006, Pages 159-179

  Nietfeld, John L ^a   Cao, Li ^b   Osborne, Jason W ^a  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF WEST GEORGIA   (United States)

Author keywords

Metacognition; Monitoring

Indexed keywords

EID: 33749378919     PISSN: 15561623     EISSN: 15561631     Source Type: Journal    
DOI: 10.1007/s10409-006-9595-6     Document Type: Article

References (60)

1. Baker, L., & Brown, A. L. (1984). Metacognitive skills and reading. In P. D. Pearson, R. Barr, M. Kamil, & P. Mosenthal (Eds.), Handbook of reading research (pp. 353-394). New York: Longmans.
2. Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman.
3. Bandura, A., & Cervone, D. (1986). Differential engagement of self-reactive influences in cognitive motivation. Organizational Behavior and Human Decision Processes, 38, 92-133.
4. Brown, A. L., Palincsar, A. S., & Armbruster, B. B. (1984). Instructing comprehension-fostering activities in interactive learning situations. In H. Mandl, N. L. Stein, & T. Trabasso (Eds.), Learning and comprehension of text (pp. 255-286). Hillsdale, New Jersey: Erlbaum.
5. Brown, R., Pressley, M., Van Meter, P., & Schuder, T. (1996). A quasi-experimental validation of transactional strategies instruction with previously low-achieving, second-grade readers. Journal of Educational Psychology, 88, 18-37.
6. Butler, D. L., & Winne, P. H. (1995). Feedback and self-regulated learning: A theoretical synthesis. Review of Educational Research, 65, 245-281.
7. Carpenter, P. A., Just, M. A., & Shell, P. (1990). What one intelligence test measures: A theoretical account of the processing in the Raven Progressive Matrices Test. Psychological Review, 97, 404-431.
8. Cohen, J., & Cohen, P. (1983). Applied multiple regression/ correlation analysis for the behavioral sciences. Hillsdale, New Jersey: Erlbaum.
9. Delclos, V. R., & Harrington, C. (1991). Effects of strategy monitoring and proactive instruction on children's problem-solving performance. Journal of Educational Psychology, 83, 35-42.
10. Desoete, A., Roeyers, H., & De Clercq, A. (2003). Can offline metacognition enhance mathematical problem solving? Journal of Educational Psychology, 95, 188-200.
11. Dunlosky, J. (2004). Metacognition. In R. R. Hunt & H. C. Ellis (Eds.), Fundamentals of cognitive psychology (7th edn.). New York: McGraw-Hill College.
12. Ghatala, E. S., Levin, J. L., Pressley, M., & Goodwin, D. (1986). A componential analysis of the effects of derived and supplied strategy-utility information on children's strategy selection. Journal of Experimental Child Psychology, 41, 76-92.
13. Glaser, R., & Chi, M. T. H. (1988). Overview. In M. T. H. Chi, R. Glaser, & M. J. Farr (Eds.), The nature of expertise (pp. xv-xxviii). Hillsdale, New Jersey: Earlbaum.
14. Glenberg, A. M., & Epstein, W. (1985). Calibration of comprehension. Journal of Experimental Psychology: Learning, Memory, and Cognition, 11, 702-718.
15. Hacker, D. J., Bol, L., Horgan, D. D., & Rakow, E. A. (2000). Test prediction and performance in a classroom context. Journal of Educational Psychology, 92, 160-170.
16. Hartman, H. J. (2001). Developing students' metacognitive knowledge and skills. In H. J. Hartman (Ed.), Metacognition in learning and instruction (pp. 33-67). Dordrecht, Netherlands: Kluwer.
17. Hoy, W. K., & Woolfok, A. E. (1990). Socialization of student teachers. American Educational Research Journal, 27, 279-300.
18. Kelley, C. M., & Jacoby, L. L. (1996). Adult egocentrism: Subjective experience versus analytic bases for judgment. Journal of Memory and Language, 35, 157-175.
19. Keren, G. (1991). Calibration and probability judgments: Conceptual and methodological issues. Acta Pscyhologica, 77, 217-273.
20. Koriat, A. (1997). Monitoring one's knowledge during study: A cue-utilization approach to judgments of learning. Journal of Experimental Psychology: General, 126, 349-370.
21. Lin, L. M., Zabrucky, K. M., & Moore, D. (2002). Effects of text difficulty and adults' age on relative calibration of comprehension. The American Journal of Psychology, 115, 187-198.
22. Magliano, J. P., Little, L. D., & Graesser, A. C. (1993). The impact of comprehension instruction on the calibration of comprehension. Reading Research and Instruction, 32, 49-63.
23. Maki, R. H., Shields, M., Wheeler, A. E., & Zacchilli, T. L. (2005). Individual differences in absolute and relative metacomprehension accuracy. Journal of Educational Psychology, 97, 723-731.
24. McCormick, C. B. (2003). Metacognition and learning. In W. M. Reynolds & G. E. Miller (Eds.), Handbook of psychology: Educational psychology (pp. 79-102). Wiley.
25. Metcalfe, J. (2000). Metamemory: Theory and data. In E. Tulving & F. I. M. Craik (Eds.), Oxford handbook of memory (pp. 197-211). London: Oxford University Press.
26. Nelson, T. O. (1996). Gamma is a measure of the accuracy of predicting performance on one item relative to another item, not of the absolute performance on an individual item: Comments on Schraw (1995). Applied Cognitive Psychology, 10, 257-260.
27. Nelson, T. O., & Narens, L. (1994). Why investigate metacognition? In J. Metcalfe & A. P. Shimamura (Eds.), Metacognition: Knowing about knowing (pp. 1-27). Cambridge, Massachusetts: MIT.
28. Nietfeld, J. L. (2002). Beyond concept maps: Using schema representations to assess pre-service teacher understanding of effective instruction. The Professional Educator, 25(1), 15-27.
29. Nietfeld, J. L., & Cao, L. (2003). Examining instructional strategies that promote pre-service teachers' personal teaching efficacy. Current Issues in Education [On-line], 6(11). Available: http://cie.ed.asu.edu/volume6/ number11/.
30. Nietfeld, J. L., Enders, C. K., & Schraw, G. (2006). A Monte Carlo comparison of measures of relative and absolute monitoring accuracy. Educational and Psychological Measurement, 66, 258-271.
31. Nietfeld, J., & Schraw, G. (2002). The effect of knowledge and strategy training on monitoring accuracy. The Journal of Educational Research, 95, 131-142.
32. Osborne, J. (2002). Notes on the use of data transformations. Practical Assessment, Research & Evaluation, 8(6). Available online: http://ericae.net/pare/getvn.asp?v=8&n=6.
33. Pajares, F. (1996). Self-Efficacy beliefs in academic settings. Review of Educational Research, 66, 543-578.
34. Pajares, F., & Kranzler, J. (1995). Self-efficacy beliefs and general mental ability in mathematical problem-solving. Contemporary Educational Psychology, 20, 426-443.
35. Paris, S. G., Cross, D. R., & Lipson, M. Y. (1984). Informed strategies for learning: A program to improve children's reading awareness and comprehension. Journal of Educational Psychology, 76, 1239-1252.
36. Peverly, S. T., & Brobst, K. E. (2003). College adults are not good at self-regulation: A study on the relationship of self-regulation, note taking, and test taking. Journal of Educational Psychology, 95, 335-346.
37. Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33-40.
38. Pintrich, P. R., Wolters, C. A., & Baxter, G. P. (2000). Assessing metacognition and self-regulated learning. In G. Schraw & J. C. Impara (Eds.). Issues in the measurement of metacognition (pp. 43-97). Lincoln, Nebraska: Buros Institute of Mental Measurements.
39. Pressley, M., & Ghatala, E. S. (1988). Delusions about performance on multiple-choice comprehension tests. Reading Research Quarterly, 23, 454-464.
40. Pressley, M., & Ghatala, E. S. (1990). Self-regulated learning: Monitoring learning from text. Educational Psychologist, 25, 19-33.
41. Pressley, M., Ghatala, E. S., Woloshyn, V., & Pirie, J. (1990). Sometimes adults miss the main ideas and do not realize it: Confidence in responses to short-answer and multiple-choice comprehension questions. Reading Research Quarterly, 25, 233-249.
42. Raven, J. C. (1962). Advanced progressive matrices, set II. London: H.K. Lewis (Distributed in the United States by the Psychological Corporation, San Antonio, Texas).
43. Schiffman, S. S., Reynolds, M. L., & Young, F. W. (1981). Introduction to multidimensional scaling: Theory, methods, and applications. New York: Academic.
44. Schneider, W., & Pressley, M. (1997). Memory development between two and twenty (2nd edn.). Hillsdale, New Jersey: Erlbaum.
45. Schraw, G. (1994). The effect of metacognitive knowledge on local and global monitoring. Contemporary Educational Psychology, 19, 143-154.
46. Schraw, G. (1995). Measures of feeling-of-knowing accuracy: A new look at an old problem. Applied Cognitive Psychology, 9, 321-322.
47. Schraw, G. (1998). On the development of adult metacognition. In C. M. Smith & T. Pourchot (Eds.), Adult learning and development: Perspectives from educational psychology (pp. 89-106). Mahway, New Jersey: Erlbaum.
48. Schraw, G., & Moshman, D. (1995). Metacognitive theories. Educational Psychology Review, 7, 351-371.
49. Schraw, G., Potenza, M. T., & Nebelsick-Gullet, L. (1993). Constraints on the calibration of performance. Contemporary Educational Psychology, 18, 455-463.
50. Schraw, G., & Roedel, T. D. (1994). Test difficulty and judgment bias. Memory & Cognition, 22, 63-69.
51. Schunk, D. H. (1995). Self-efficacy and education and instruction. In J. E. Maddux (Ed.), Self-efficacy, adaptation, and adjustment: Theory, research, and application (pp. 281-303). New York: Plenum.
52. Schunk, D. H., & Zimmerman, B. J. (2003). Self-regulation and learning. In W. M. Reynolds, G. E. Miller, & I. B. Weiner (Eds.), Handbook of psychology (vol.7). Wiley.
53. Sternberg, R. J. (2001). Metacognition, abilities, and developing expertise: What makes an expert student? In H. J. Hartman (Ed.), Metacognition in learning and instruction (pp. 229-260). Netherlands: Kluwer.
54. Thiede, K. W., Anderson, M. C. M., & Therriault, D. (2003). Accuracy of metacognitive monitoring affects learning of texts. Journal of Educational Psychology, 95, 66-73.
55. Underwood, B. J. (1961). Ten years of massed practice on distributed practice. Psychological Review, 68, 229-247.
56. West, R. F., & Stanovich, K. E. (1997). The domain specificity and generality of overconfidence: Individual differences in performance estimation bias. Psychonomic Bulletin & Review, 4, 387-392.
57. Winne, P. H. (2001). Information processing models of self-regulated learning. In B. J. Zimmerman & D. H. Schunk (Eds.), Self-regulated learning and academic achievement: Theory, research, and practice. New York: Longman.
58. Winne, P. H., & Hadwin, A. F. (1998). Studying as self-regulated learning. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Metacognition in educational theory and practice (pp. 227-304). Mahwah, NJ: Erlbaum.
59. Winne, P. H., & Jamieson-Noel, D. (2002). Exploring students' calibration of self reports about study tactics and achievement. Contemporary Educational Psychology, 27, 551-572.
60. Yates, J. F. (1990). Judgment and decision making. Englewood Cliffs, New Jersey: Prentice-Hall.