Breakdown in the metacognitive chain: Good intentions aren't enough in high school

Journal of Applied Research in Memory and Cognition

Volumn 3, Issue 3, 2014, Pages 230-238

  Sussan, Danielle ^a   Son, Lisa K ^a  

^a Program on US Russia Relations at Columbia s Harriman Institute   (United States)

Author keywords

Betting; Control; High school; Metacognition; Metacognitive applications; Metacognitive chain; Monitoring; Study intentions; Study time

Indexed keywords

EID: 84911806441     PISSN: 22113681     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jarmac.2014.07.006     Document Type: Article

References (47)

1. Bargh, J. A., & Williams, E. L (2006). The automaticity of social life. Current Directions in Psychological Science, 15,1-4.
2. Begg, I. M., Anas, A., & Farinacci, S. (1992). Dissociation of processes in belief: Source recollection, statement familiarity, and the illusion of truth. Journal of Experimental Psychology: General, 121, 446-458.
3. Benjamin, A. S., Bjork, R. A., & Schwartz, B. L. (1998). The mismeasure of memory: When retrieval fluency is misleading as a metamnemonic index. Journal of Experimental Psychology: General, 127,55-68.
4. Bruin, A., Thiede, K. W., Camp, G., & Redford, J. R. (2011). Generating keywords improves metacomprehension and self-regulation in elementary and middle school children. Journal of Experimental Child Psychology, 109, 294-310.
5. Cleary, T. J., Platten, P., & Nelson, A. (2008). Effectiveness of the self-regulation empowerment program with urban high school students. Journal of Advanced Academics, 20, 70-107.
6. Dunlosky, J., & Hertzog, C. (1998). Training programs to improve learning in later adulthood: Helping older adults educate themselves. In D.J. Hacker, J. Duniosky, & A. C. Graesser (Eds.), Metacognition in educational theory and practice (pp. 249-276). Mahwah, NJ: Edbaum.
7. Dunlosky, J., & Lipko, A. R. (2007). Metacomprehension: A brief history and how to improve its accuracy. Current Directions in Psychological Science, 16, 228-232.
8. Dunlosky, J., & Metcalfe, J. (2009). Metacognition. Thousand Oaks, CA: Sage Publications, Inc.
9. Dunlosky, J., & Nelson, T. O. (1992). Importance of the kind of cue for judgments of learning (JOL) and the delayed-JOL effect. Memory and Cognition, 20,374-380.
10. Elawar, M. C. (1992). Effects of teaching metacognitive skills to students with low mathematics ability. Teaching and Teacher Education, 8,109-121.
11. Finn, B., & Metcalfe, J. (2007). The role of memory for past test in the underconfidence with practice effect. Journal of Experimental Psychology: Learning, Memory, and Cognition, 33, 238-244.
12. Hamman, D., Berthelot, J., Saia, J., & Crowley, E. (2000). Teachers' coaching of learning and its relation to students' strategic learning. Journal of Educational Psychology, 92, 342-348.
13. Huff, J. D., & Nietfeld, J. L. (2009). Using strategy instruction and confidence judgments to improve metacognitive monitoring skills. Metacognition and Learning, 4,161-176.
14. Kelemen, W. L. (2000). Metamemory cues and monitoring accuracy: Judging what you know what you will know. Journal of Educational Psychology, 92, 800-810.
15. Koriat, A., Sheffer, L, & Ma'ayan, H. (2002). Comparing objective and subjective learning curves: Judgments of learning exhibit increased underconfidence with practice. Journal of Experimental Psychology: General, 131,147-162.
16. Kornell, N., & Metcalfe, J. (2006). Study efficacy and the region of proximal learning framework.Journal of Experimental Psychology: Learning, Memory, and Cognition, 32, 609-622.
17. Kornell, N., Son, L. K., & Terrace, H. (2007). Transfer of metacognitive skills and hint seeking in monkeys. Psychological Science, 18, 64-71.
18. Maki, R. H., & Berry, S. L. (1984). Metacomprehension of text material. Journal of Experimental Psychology: Learning, Memory, and Cognition, 10,663-679.
19. McGillivray, S., & Castel, A. D. (2011). Betting on memory leads to metacognitive improvement in younger and olderadults. Psychology and Aging, 26,137-142.
20. Metcalfe, J. (2009). Metacognitive judgments and control of study. Current Directions in Psychological Science, 18,159-163.
21. Metcalfe, J., & Finn, B. (2008). Evidence that judgments of learning are causally related to study choice. Psychonomic Bulletin and Review, 15,174-179.
22. Metcalfe, J., Kornell, N., & Son, L. K. (2007). A cognitive-science based program to enhance study efficacy in a high- and low-risk setting. European Journal of Cognitive Psychology, 19, 743-768.
23. Michalsky, T., Mevarech, Z. R., & Haibi, L. (2009). Elementary school children reading scientific texts: Effects of metacognitive instruction. Journal of Educational Research, 102,363-376.
24. Moley, B. E., Hart, S. S., Leal, L, Santulli, K. A., Rao, N., Johnson, T., et al. (1992). The teacher's role in facilitating memory and study strategy development in the elementary school classroom. Child Development, 63,653-672.
25. Nelson, T. O., Dunlosky, J., Graf, A., & Narens, L. (1994). Utilization of metacognitive judgments in the allocation of study during multitrial learning. Psychological Science, 5, 207-213.
26. Perfect, T. J., & Hollins, T.S. (1996). Predictive feeling of knowing judgments and postdictive confidence judgments in eyewitness memory and general knowledge. Applied Cognitive Psychology, 10(5), 371-382.
27. Reder, L. M. (1987). Strategy selection in question answering. Cognitive Psychology, 19, 90-138.
28. Reder, L. M., & Ritter, F. E. (1992). What determines initial feeling of knowing? Familiarity with question terms, not with the answer. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18,435-451.
29. Reder, L. M., & Schunn, C. D. (1996). Metacognition does not imply awareness: Strategy choice is governed by implicit learning and memory. In L. M. Reder (Ed.), Implicit memory and metacognition (pp. 45-77). Mahwah, NJ: Erlbaum.
30. Redford, J., Thiede, K. W., Wiley, J., & Griffin, T. D. (2012). Concept mapping improves metacognitive accuracy among 7th graders. Learning and Instruction, 22, 262-270.
31. Romainville, M. (1994). Awareness of cognitive strategies: The relationship between university students' metacognition and their performance. Studies in Higher Education, 19,359-366.
32. Schneider, W. (1985). Developmental trends in the metamemory-memory behavior relationship: An integrative review. In D. L. Forrest-Pressley, G. E. McKinnon, & T. G.Waller (Eds.), Cognition, metacognition, and human performance (vol. I) (pp. 57-109). New York: Academic Press.
33. Schneider, W., & Lockl, K. (2002). Developmental trends in children's feeling-ofknowing judgements. International Journal of Behavioral Development, 26(4), 327-333.
34. Schraw, G. (1997). The effect of generalized metacognitive knowledge on test performance and confidence judgments. Journal of Experimental Education, 65, 135-146.
35. Schraw, G., Crippen, K. J., & Hartley, K. (2006). Promoting self-regulation in science education: Metacognition as part of a broader perspective on learning. Journal of Experimental Education, 74, 293-310.
36. Silver, E. A. (1987). Foundations of cognitive theory and research for mathematics problem solving instruction. In A. H. Schoenfeld (Ed.), Cognitive science and mathematics education (pp. 3-14). Hillsdale, NJ: Lawrence Erlbaum Associates.
37. Son, L. K. (2005). Metacognitive control: Children's short-term versus long-term study strategies.Journal of General Psychology, 132,347-363.
38. Son, L. K., & Kornell, N. (2008). Research on the allocation of study time: Key studies from 1890 to the present (and beyond). In J. Dunlosky, & R. A. Bjork (Eds.), A handbook of memory and metamemory (pp. 333-351). Hillsdale, NJ: Psychology Press.
39. Son, L. K., & Kornell, N. (2009). Simultaneous decisions at study: Time allocation, ordering, and spacing. Metacognition and Learning, 237, 237-248.
40. Son, L. K., & Metcalfe, J. (2005). Judgments of learning: Evidence for a two-stage model. Memory and Cognition, 33,1116-1129.
41. Son, L. K., & Simon, D. (2012). Distributed learning: Data, metacognition, and educational implications. Educational Psychology Review, 24,379-399.
42. Sussan, D., & Son, L. K. (2007). The training of metacognitive monitoring in children. Columbia Undergraduate Science Journal, 2, 98-112.
43. Terrace, H. S., & Son, L. K. (2009). Comparative metacognition. Current Opinion in Neurobiology, 19, 67-74.
44. 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.
45. Tobias, S., & Everson, H. (1996). Assessing Metacognitive Knowledge Monitoring. College Board. Published by the College Entrance Examination Board in New York.
46. Tobias, S., Everson, H.T.,& Laitusis, V. (1999). Towards a performance based measure of metacognitive knowledge monitoring: Relationships with self-reports and behavior ratings Montreal, Quebec, Canada, April 19-23, 1999,. Paper presented at the Annual Meeting of the American Educational Research Association.
47. Zohar, A., & Ben David, A. (2008). Explicit teaching of meta-strategic knowledge in authentic classroom situations. Metacognition and Learning, 3, 59-82.