“You can sort of feel it”: Exploring metacognition and the feeling of knowing among undergraduate students

Qualitative Report

Volumn 22, Issue 7, 2017, Pages 2016-2032

  Gutierrez de Blume, Antonio P ^a   Wells, Pamela ^a   Davis, C Amelia ^a   Parker, Jason ^a  

^a GEORGIA SOUTHERN UNIVERSITY   (United States)

Author keywords

Comprehension monitoring; Feeling of knowing; Interviews; Qualitative method; Self Regulated learning; Undergraduate students

Indexed keywords

EID: 85026755251     PISSN: None     EISSN: 21603715     Source Type: Journal    
DOI: None     Document Type: Article

References (47)

1. Artzt, A. F., & Armour-Thomas, E. (1992). Development of cognitive-metacognitive framework for protocol analysis of mathematical problem-solving in small groups. Cognition and Instruction, 9, 137–175.
2. Azevedo, R. (2005). Using hypermedia as a metacognitive tool for enhancing student learning? The role of self-regulated learning. Educational Psychologist, 40(4), 199–209. doi:10.1207/s15326985ep4004_2
3. Bandura, A. (2006). Toward a psychology of human agency. Perspectives on Psychological Science, 1, 164–180.
4. Benjamin, A. S., Diaz, M., & Wee, S. (2009). Signal detection with criterion noise: Applications to recognition memory. Psychological Review, 116(1), 84–115.
5. Boekaerts, M. (1999). Self-regulated learning: Where we are today. International Journal of Educational Research, 31(6), 445–457.
6. Boekaerts, M., & Rozendaal, J. S. (2010). Using multiple calibration indices in order to capture the complex picture of what affects students’ accuracy of feeling of confidence. Learning and Instruction, 20, 372–382.
7. Bol, L., & Hacker, D. J. (2001). A comparison of the effects of practice tests and traditional review on performance and calibration. The Journal of Experimental Education, 69, 133–151.
8. Bol, L., Hacker, D. J., O’Shea, P., & Allen, D. (2005). The influence of overt practice, achievement level, and explanatory style on calibration accuracy, and performance. The Journal of Experimental Education, 73, 269–290.
9. Brannick, M. T., Miles, D. E., & Kisamore, J. L. (2005). Calibration between student mastery and self-efficacy. Studies in Higher Education, 30, 473–483.
10. Corno, L. (1986). The metacognitive control components of self-regulated learning. Contemporary Educational Psychology, 11, 333–346.
11. Corno, L., & Rohrkemper, M. (1985). The intrinsic motivation to learn in classrooms. In C. Ames & R. Ames (Eds.), Research on motivation: Vol. 2. The classroom milieu (pp. 53–90). New York, NY: Academic Press.
12. Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of psychological inquiry. American Psychologist, 34, 906–911.
13. Garrett, A. J., Mazzocco, M. M. M., & Baker, L. (2006). Development of the metacognitive skills of prediction and evaluation in children with or without math disability. Learning Disabilities Research & Practice: A Publication of the Division for Learning Disabilities, Council for Exceptional Children, 21(2), 77–88. doi:10.1111/j.1540-5826.2006.00208.x
14. Gerjets, P., Kammerer, Y., & Werner, B. (2011). Measuring spontaneous and instructed evaluation processes during Web search: Integrating concurrent thinking aloud protocols and eye-tracking data. Learning and Instruction, 21(2), 220–231. doi:10.1016/j.learninstruc.2010.02.005
15. Glenberg, A. M., & Epstein, W. (1985). Calibration of comprehension. Journal of Experimental Psychology: Learning, Memory, and Cognition, 11, 702–718.
16. Glenberg, A. M., Sanocki, T., Epstein, W., & Morris, C. (1987). Enhancing calibration of comprehension. Journal of Experimental Psychology: General, 116, 119–136.
17. Greene, B. A., Miller, R. B., Crowson, M., Duke, B. L., & Akey, K. L. (2004). Predicting high school students' cognitive engagement and achievement: Contributions of classroom perceptions and motivation. Contemporary Educational Psychology, 29, 462–482.
18. Gutierrez, A. P., & Schraw, G. (2015). Effects of strategy training and incentives on students’ performance, confidence, and calibration. The Journal of Experimental Education, 83, 386–404. doi:10.1080/00220973.2014.907230
19. Gutierrez, A. P., Schraw, G., Kuch, F., & Richmond, A. S. (2016). A two-process model of metacognitive monitoring: Evidence for distinct accuracy and error factors. Learning and Instruction, 44, 1–10. doi:10.1016/j.learninstruc.2016.02.006
20. Gutierrez de Blume, A. P. (2017). The effects of strategy training and an extrinsic incentive on fourth- and fifth- grade students’ performance, confidence, and calibration accuracy. Cogent Education, 4, 1-17. doi: 10.1080/2331186X.2017.1314652
21. Hacker, D. J., Bol, L., & Bahbahani, K. (2008). Explaining calibration accuracy in classroom contexts: The effects of incentives, reflection, and explanatory style. Metacognition Learning, 3, 101–121.
22. Hogarth, R. M., Gibbs, B. J., McKenzie, C. R. M., & Marquis, M. A. (1991). Learning from feedback: Exactingness and incentives. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17, 734–752.
23. Kaakinen, J. K., & Hyona, J. (2005). Perspective effects on expository text comprehension: Evidence from think-aloud protocols, eyetracking, and recall. Discourse Processes, 40(3), 239–257. doi:10.1207/s15326950dp4003_4
24. Ke, F. (2008). Computer games application within alternative classroom goal structures: Cognitive, metacognitive, and affective evaluation. Educational Technology Research and Development, 56, 539–556. doi:10.1007/s11423-008-9086-5
25. Keren, G. (1991). Calibration and probability judgments: Conceptual and methodological issues. Acta Psychologica, 77(2), 217–273.
26. Kruger, J., & Dunning, D. (1999). Unskilled and unaware of it: How difficulties in recognizing one’s incompetence lead to inflated self-assessments. Journal of Personality and Social Psychology, 77, 1121–1134.
27. Maniscalco, B., & Lau, H. (2012). A signal detection theoretic approach for estimating metacognitive sensitivity from confidence ratings. Consciousness and Cognition, 21(1), 422–430. doi:10.1016/j.concog.2011.09.021
28. Merriam, S. B. (2009). Qualitative research: A guide to design and implementation. San Francisco, CA: Jossey-Bass.
29. Murphy, A. H. (1993). What is a good forecast? An essay on the nature of goodness in weather forecasting. Weather and Forecasting, 8, 281–293.
30. Nietfeld, J. L., Cao, L., & Osborne, J. W. (2006). The effect of distributed monitoring exercises and feedback on performance, monitoring accuracy, and self-efficacy. Metacognition Learning, 1, 159–179.
31. Nietfeld, J. L., & Schraw, G. (2002). The effect of knowledge and strategy explanation on monitoring accuracy. Journal of Educational Research, 95, 131–142.
32. Negretti, R. (2012). Metacognition in student academic writing: A longitudinal study of metacognitive awareness and its relation to task perception, self-regulation, and evaluation of performance. Written Communication, 29(2), 142–179. doi:10.1177/0741088312438529
33. Palincsar, A. S., & Brown, A. L. (1984). Reciprocal teaching of comprehension-fostering and comprehension-monitoring activities. Cognition and Instruction, 1(2), 117–175.
34. Patton, M. (2002). Qualitative research and evaluation methods (3rd ed.). Thousand Oaks, CA: Sage.
35. Poses, R. M., Cebul, R. D., Collins, M., & Fager, S. S. (1985). The accuracy of experienced physicians' probability estimates for patients with sore throats: Implications for decision making. Journal of the American Medical Association, 254, 925–929.
36. Saldaña, J. (2013). The coding manual for qualitative researchers (2nd ed.). Thousand Oaks, CA: Sage.
37. Schraw, G., & Dennison, R. S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19, 460–475.
38. Schraw, G., & Graham, T. (1997). Helping gifted students develop metacognitive awareness. Roeper Review, 20, 4–8.
39. Schraw, G., Kuch, F., & Gutierrez, A. P. (2013). Measure for measure: Calibrating ten commonly used calibration scores. Learning and Instruction, 24, 48–57. doi:10.1016/j.learninstruc.2012.08.007
40. Schraw, G., Kuch, F., Gutierrez, A. P., & Richmond, A. S. (2014). Exploring a three-level model of calibration accuracy. Journal of Educational Psychology, 106, 1192-1202. doi:10.1037/a0036653
41. Schraw, G., Potenza, M. T., & Nebelsick-Gullet, L. (1993). Constraints on the calibration of performance. Contemporary Educational Psychology, 18, 455–463.
42. Serra, M. J., & Metcalfe, J. (2009). Effective implementation of metacognition. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Handbook of metacognition in education (pp. 278–298). Mahwah, NJ: Erlbaum.
43. Shiu, L., & Chen, Q. (2013). Self and external monitoring of reading comprehension. Journal of Educational Psychology, 105, 78–88. doi:10.1037/a0029378
44. Sperling, R. A., Howard, R. S., Staley, R., & DuBois, N. (2004). Metacognition and self-regulated learning constructs. Educational Research & Evaluation, 10, 117–139.
45. Thiede, H. L., & Leboe, J. P. (2009). Illusions of competence for phonetically, orthographically, and semantically similar word pairs. Canadian Journal of Experimental Psychology, 63(4), 294–302.
46. Tobias, S. (1995). Interest and metacognitive word knowledge. Journal of Educational Psychology, 87(3), 399–405. doi:10.1037/0022-0663.87.3.399
47. Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13– 39). San Diego, CA: Academic Press.