The Effect of Metacognitive Strategies on Self-Efficacy, Motivation and Academic Achievement of University Students
DOI:
https://doi.org/10.53103/cjess.v2i4.49Keywords:
Metacognition, Strategy, Self-efficacy, Motivation, Foreign Language TeachingAbstract
In this study, the effects of university students' metacognitive strategies on university students' self-efficacy, motivation and academic achievement were examined. In the 2019-2020 academic year, 354 university students who received preparatory education at Gazi University School of Foreign Languages participated in the study. Demographic information form, general self-efficacy scale and metacognition scale-30 were used as data collection tools. A path analysis model was developed and tested to examine the relationships between the variables in the study. In the tested model, it was observed that self-efficacy affects academic achievement in reading classes both directly and indirectly in a positive way. It has been observed that motivation indirectly affects the academic performance of students positively through metacognition. It was determined that the most influential variable on academic achievement was self-efficacy, followed by the metacognitive variable. In addition, the results obtained based on theoretical explanations were discussed and some suggestions were presented to improve the academic performance of university students.
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Abdelrahman, R.M. (2020). Üstbilişsel farkındalık ve akademik motivasyon ve bunların Ajman Üniversitesi öğrencilerinin akademik başarısına etkisi. Helyon, 6 (9), e04192. https://doi.org/10.1016/j.heliyon.2020.e04192
Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28, 117-148.
Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W. H. Freeman and Company.
Barenberg, J., Dutke S. (2019). Testing and metacognition: retrieval practise effects on metacognitive monitoring in learning from text. Memory, 27(3), 269–279.
Boekaerts, M., & Corno L. (2005). Self-regulation in the classroom: A perspective on assessment and intervention. Appl. Psychol., 54(2), 199–231.
Callan, G. L., & Cleary T. J. (2018). Multidimensional assessment of self-regulated learning with middle school math students. Sch. Psychol. Q. 33 103–111. 10.1037/spq0000198
Carr, M., Alexander J., & Folds-Bennett T. (1994). Metacognition and mathematics strategy use. Appl. Cogn. Psychol. 8 583–595. https://doi.org/10.1002/acp.2350080605
Chen, S. K., Yeh Y. C., Hwang F. M., Lin S. S. J. (2013). The relationship between academic self-concept and achievement: a multicohort-multioccasion study. Learn. Indiv. Differ. 23 172–178.
Choi, N. (2005). Self‐efficacy and self‐concept as predictors of college students' academic performance. Psychology in the Schools, 42(2), 197-205.
Cool, V. A., & Keith T. Z. (1991). Testing a model of school learning: direct and indirect effects on academic achievement. Contemp. Educ. Psychol. 16 28–44. https://doi.org/10.1016/0361-476X (91)90004-5
Coutinho, S. (2008). Self-efficacy, metacognition, and performance. N. Am. J. Psychol. 10 165–172.
Deci, E.L., & Ryan, R.M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry 11, 227–268.
Desoete, A., & Roeyers, H. (2006). Metacognitive macroevaluations in mathematical problem solving. Learn. Instr. 16 12–25. https://doi.org/10.1016/j.learninstruc.2005.12.003
Desoete, A., Roeyers, H., & De Clercq A. (2003). Can offline metacognition enhance mathematical problem solving? J. Educ. Psychol. 95 188–200. https://doi.org/10.1037/0022-0663.95.1.188
Doménech-Betoret, F., Abellán-Roselló, L., & Gómez-Artiga, A. (2017). Self-efficacy, satisfaction, and academic achievement: the mediator role of Students' expectancy-value beliefs. Front Psychol. 8, 1193. https://doi.org/10.3389/fpsyg.2017.01193.
Dunlap, J.C. (2005). Changes in students’ use of lifelong learning skills during a problem-based learning project. Perform Improv Q. 18:5–33.
Efklides, A. (2011). Interactions of metacognition with motivation and affect in self-regulated learning: the MASRL model. Educ. Psychol. 46 6–25. https://doi.org/10.1080/00461520.2011.538645
Fast, L., A., Lewis, J. L., Bryant, M. J., Bocian, K. A., Cardullo, R. A., & Rettig M., (2010). Does math self-efficacy mediate the effect of the perceived classroom environment on standardized math test performance? J. Educ. Psychol. 102 729–740. https://doi.org/10.1037/a0018863
Fisher, M., Goddu, M.K., & Keil, F.C. (2015). Searching for explanations: how the Internet inflates estimates of internal knowledge. J. Exp. Psychol. Gen. 144(3), 674.
Garon-Carrier, G., Boivin, M., Guay, F., Kovas, Y., Dionne, G., & Lemelin, J., (2016). Intrinsic motivation and achievement in mathematics in elementary school: a longitudinal investigation of their association. Child Dev. 87 165–175. https://doi.org/10.1111/cdev.12458
Guay, F., Marsh, H. W., & Boivin, M. (2003). Academic self-concept and academic achievement: Development perspectives on their causal ordering. Journal of Educational Psychology, 95, 124–136. https://doi.org/10.1037/0022-0663.95.1.124
Guthrie, J. T., Wigfield, A., Humenick, N. M., Perencevich, K. C., Taboada, A., & Barbosa, P. (2006). Influences of stimulating tasks on reading motivation and comprehension. The Journal of Educational Research, 99, 232–246. https://doi.org/10.3200/JOER.99.4.232-246
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2013). Multivariate data analysis. Pearson Education Limited.
Hong, E. (2001). Homework style, homework environment, and academic achievement. Learn. Environ. Res. 4 7–23.
Hong, W. H., Vadivelu, J., Daniel, E. G., & Sim, J. H. (2015). Thinking about thinking: changes in first-year medical students' metacognition and its relation to performance. Medical Education Online, 20, 27561. https://doi.org/10.3402/meo.v20.27561
Kaleli, Y. S. (2020). Investigation of the relationship between pre-service music teachers’ attitudes towards teaching profession and their self-efficacy beliefs. International Journal of Research in Education and Science (IJRES), 6(4), 580-587.
Kara, S. (2020). Examining the attitudes of visual arts teacher candidates towards the teaching profession and their teaching self-efficacy beliefs. Mehmet Akif Ersoy University Journal of the Faculty of Education, 54, 49-73.
Kim, A.Y., & Park, I.Y. (2001). Construction and validation of academic self-efficacy scale. Korean J Educ Res. 39, 95–123.
Lesh, R., Zawojewski, J.S. (2007). Problem solving and modeling. In Lester JFK, editors. The second handbook of research on mathematics teaching and learning. National Council of Teachers of Mathematics, Charlotte, NC: Information Age Publishing. pp. 763–804
Liu, J.-M. (1998). A support system for promoting metacognition in large classrooms. Ph.D. Dissertation. The Pennsylvania State University, University Park, PA
Marsh, H. W., & Martin, A. J. (2011). Academic self-concept and academic achievement: Relations and causal ordering. British Journal of Educational Psychology, 81, 59–77. https://doi.org/10.1348/000709910X503501
Marsh, H. W., Trautwein, U., Lüdtke, O., Köller, O., Baumert, J. (2005). Academic self-concept, interest, grades, and standardized test scores: reciprocal effects models of causal ordering. Child Dev. 76 397–416. https://doi.org/10.1037/0003-066X.33.4.344
Mart, Ç. T. (2011). How to sustain students' motivation in a learning environment. ED519165. ERIC.
Mart, Ç. T. (2022). Can metacognition bring in the ingredients requisite for L2 listening success? AILA Review, 34(2), 262-273.
Metcalfe J. (2009). Metacognitive judgments and control of study. Curr. Dir. Psychol. Sci., 18, 159–163.
Metcalfe, J. (2013). Finn B. Metacognition and control of study choice in children. Metacogn. Learn., 8, 19–46.
Mokhtari, K., Dimitrov, D.M., Reichard, C.A. (2018). Revising the metacognitive awareness of reading strategies inventory (MARSI) and Testing for Factorial Invariance. (Google Scholar)
Nagengast, B., Marsh, H. W., Scalas, L. F., Xu, M. K., Hau, K. T., & Trautwein, U. (2011). Who took the “x” out of expectancy-value theory? A psychological mystery, a substantive-methodological synergy, and a cross-national generalization. Psychol. Sci. 22, 1058–1066.
Ngwira, F.F., Gu, C., Mapoma, H.W.T., & Kondowe, W. (2017). The role of academic emotions on medical and allied health students’ motivated self-regulated learning strategies. J Contemp Med Edu, 5(1), 23. https://doi.org/10.5455/jcme.20170412124640.
Norman, E., & Furnes, B. (2016). The concept of “metaemotion”: What is there to learn from research on metacognition? Emot Rev. 8, 187–193.
Özsoy, G., & Ataman, A. (2017). The effect of metacognitive strategy training on mathematical problem-solving achievement. Int. Electron. J. Environ. Educ. 1(2), 67–82.
Pan, I., Regueiro, B., Ponte, B., Rodríguez, S., Piñeiro, I., & Valle, A. (2013). Motivación, implicación en los deberes escolares y rendimiento académico (Motivation, involvement in homework and academic performance). Aula Abierta, 41, 13–22.
Pintrich, P. R., Marx, R. W., & Boyle, R. A. (1993). Beyond cold conceptual change: The role of motivational beliefs and classroom contextual factors in the process of conceptual change. Rev. Educ. Res. 63 167–199. https://doi.org/10.3102/00346543063002167
Pintrich, P.R., De Groot, E.V. (1990). Motivational and self-regulated learning components of classroom academic performance. J Educ Psychol. 82(1), 33. https://doi.org/10.1037/0022-0663.82.1.33.
Pintrich, P.R. (2003). A motivational science perspective on the role of student motivation in learning and teaching contexts. J Educ Psychol. 95(4), 667. https://doi.org/10.1037/0022-0663.95.4.667.
Puustinen, M., & Pulkkinen, L. (2001). Models of self-regulated learning: A review. Scand. J. Educ. Res. 45 269–286. https://doi.org/10.1080/00313830120074206
Questienne, L., Van Opstal, F, van Dijck, J.P., & Gevers, W. (2018). Metacognition and cognitive control: Behavioural adaptation requires conflict experience. Q J Exp Psychol (Hove), 71, 411–23.
Rodríguez, S., Núñez, J. C., Valle, A., Freire, C., Ferradás, M., & Rodríguez-Llorente, C. (2019). Relationship between students' prior academic achievement and homework behavioral engagement: The mediating/moderating role of learning motivation. Frontiers in Psychology, 10, 1047. https://doi.org/10.3389/fpsyg.2019.01047
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am. Psychol. 55 68–78. https://doi.org/10.1037/0003-066X.55.1.68
Sadi, O., & Uyar, M. (2013). The relationship between self-efficacy, self-regulated learning strategies and achievement: A path model. J Baltic Sci Educ., 12(1), 21–33.
Safari, Y., & Meskini, H. (2015). The effect of metacognitive instruction on problem solving skills in Iranian students of health sciences. Global Journal of Health Science, 8(1), 150–156. https://doi.org/10.5539/gjhs.v8n1p150
Sang, B., & Wang, X. Y. (2001). Metacognition and students’ learning. Glob. Educ. 12 16–18.
Schneider, W., & Lockl, K. (2002). The development of metacognitive knowledge in childrenand adolescents. In: Perfect T, Schwartz B, editors. Applied metacognition. Cambridge, UK: Cambridge University Press, 2002; 2002. http://dx.doi.org/10.1017/CBO9780511489976.011 .
Schöber, C., Schütte K., Köller O., McElvany N., & Gelvany M. M. (2018). Reciprocal effects between self-efficacy and achievement in mathematics and reading. Learn. Ind. Diff. 63 1–11. https://doi.org/10.1016/j.lindif.2018.01.008
Schraw, G., & Moshman, D. (1995). Metacognitive theories. Educ Psychol Rev. 7, 351–71.
Schunk, D. H., & Ertmer P. A. (2000). Self-regulation and academic learning: Self-efficacy enhancing interventions, in Handbook of Self-Regulation, eds Boekaerts M., Pintrich P. R., Zeidner M. (San Diego, CA: Academic Press), 631–649.
Schunk, D. H. (1990). Goal setting and self-efficacy during self-regulated learning. Educational Psychologist, 25, 71-86.
Schunk, D. H., & Pajares, F. (2009). Self-efficacy theory. In K. R. Wentzel & A. Wigfi eld (Eds.), Handbook of motivation at school (pp. 35-53). New York: Routledge
Schwarzer, R., & Jerusalem, M. (1995). Generalized self-efficacy scale. In J. Weinman, S. Wright, & M. Johnston (Eds.), Measures in health psychology: A user’s portfolio. Causal and control beliefs (pp. 35-37). Windsor, UK: NFER-Nelson.
Sheu, H. B., Lent, R. W., Miller, M. J., Penn, L. T., Cusick, M. E., & Truong, N. N. (2018). Sources of self-efficacy and outcome expectations in science, technology, engineering, and mathematics domains: A meta-analysis. Journal of Vocational Behavior, 109, 118-136.
Skaalvik, E. M., Federici, R. A., & Klassen, R. M. (2015). Mathematics achievement and self-efficacy: relations with motivation for mathematics. Int. J. Educ. Res. 72 129–136. https://doi.org/10.1016/j.ijer.2015.06.008
Steinmayr, R., Spinath, B. (2009). The importance of motivation as a predictor of school achievement. Learn. Individ. Differ., 19 80–90. https://doi.org/10.1016/j.lindif.2008.05.004
Steinmayr, R., Weidinger, A. F., & Wigfield, A. (2018). Does students’ grit predict their school achievement above and beyond their personality, motivation, and engagement? Contemp. Educ. Psychol. 53 106–122. https://doi.org/10.1016/j.cedpsych.2018.02.004
Steinmayr, R., Weidinger, A. F., Schwinger, M., & Spinath, B. (2019). The importance of students' motivation for their academic achievement - replicating and extending previous findings. Frontiers in Psychology, 10, 1730. https://doi.org/10.3389/fpsyg.2019.01730
Tian, Y., Fang, Y., & Li, J. (2018). The effect of metacognitive knowledge on mathematics performance in self-regulated learning framework-multiple mediation of self-efficacy and motivation. Frontiers in Psychology, 9, 2518. https://doi.org/10.3389/fpsyg.2018.02518
Tosun, A., & Iraq, M. (2008). Turkish adaptation, validity, reliability, and relationship with anxiety and obsessive-compulsive symptoms of the metacognition scale-30. Turkish Journal of Psychiatry, 19(1).
Tressel, T., Lajoie S. P., & Duffy M. C. (2018). A guide for study terminology: Reviewing a fragmented domain. Can. Psychol. https://doi.org/10.1037/cap0000138
Wang, Z., & Han, F. (2017). Metacognitive knowledge and metacognitive control of writing strategy between high- and low-performing Chinese EFL writers. Theory Pract. Lang. Stud. 7, 523. https://doi.org/10.17507/tpls.0707.04
Wells, A., & Cartwright-Hatton, S. (2004). A short form of the metacognitions questionnaire: properties of the MCQ 30. Behav Res Ther, 42, 385–396.
Wells, A. (2003). Emotional disorders and metacognition: Innovative cognitive therapy. New York: John Wiley & Sons Ltd; 2000.
Wigfield, A., & Cambria J. (2010). Students’ achievement values, goal orientations, and interest: definitions, development, and relations to achievement outcomes. Dev. Rev. 30 1–35. https://doi.org/10.1016/j.dr.2009.12.001
Wigfield, A., Guthrie J. T., Tonks S., & Perencevich K. C. (2004). Children’s motivation for reading: Domain specificity and instructional influences. The Journal of Educational Research, 97, 299–310. https://doi.org/10.3200/JOER.97.6.299-310
Wilcox, G., & Nordstokke, D. (2019). Predictors of university student satisfaction with life, academic self-efficacy, and achievement in the first year. Canadian Journal of Higher Education/Revue Canadienne D'enseignement Supérieur, 49(1), 104-124.
Yang, M. (2005). Investigating the structure and the pattern in self-regulated learning by high school students. Asia Pac Educ Rev. 6(2), 162–169. https://doi.org/10.1007/BF03026784.
Yilmaz, V., & Varol, S. (2015). Structural equation modeling with ready-made software: Amos, Eqs, Lisrel. Dumlupınar University Journal of Social Sciences, 44, 28-44.
Yilmaz, S. (2018). Validity and reliability study of the motivation scale for university students. Artiscience: Adana Science and Technology University Journal of Social Sciences, 1(1), 1-20.
Young, A., & Fry, D.J. (2012). Metacognitive awareness and academic achievement in college students. J Scholar Teach Learn. 8, 1–10.
Yu, J. H., Chae, S. J., & Chang, K. H. (2016). The relationship among self-efficacy, perfectionism and academic burnout in medical school students. Korean Journal of Medical Education, 28(1), 49–55. https://doi.org/10.3946/kjme.2016.9
Yurt, E., & Sünbül, A. M. (2014). A structural equation model explaining 8th grade students' mathematics achievements. Educational Sciences: Theory and Practice, 14(4), 1642-1652.
Zimmerman, B.J. (2011). Motivational sources and outcomes of self-regulated learning and performance: Graduate center of city university of New York. Handbook self-regul learn perform. Routledge. Pp. 63–78.
Zimmerman, B.J. (1990). Self-regulating academic learning and achievement: The emergence of a social cognitive perspective. Educ Psychol Rev. 2(2), 173–201. https://doi.org/10.1007/BF01322178.
Zohar, A., & Peled, B. (2008). The effects of explicit teaching of metastrategic knowledge on low- and high-achieving students. Learn. Instr. 18, 337–353. https://doi.org/10.1016/j.learninstruc.2007.07.001
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