Regulation of cognition: Validation of a short scale for Portuguese first-year university students
Abstract
The quality of learning in Higher Education is particularly dependent on students' skills in regulating their cognition. This regulation requires cognitive and metacognitive skills as well as motivational dimensions. Due to its relevance in explaining students' academic achievement and developing lifelong learning skills, it´s important to increase research in the area. This study aims to adapt and validate a short version of the Regulation of Cognition of Metacognitive Awareness Inventory to first-year Portuguese university students. A sample of 360 students was considered and was identified a three-dimensional structure (Planning, 4 items; Strategies, 7 items; and Monitoring and evaluation, 7 items) with a second-order factor (Regulation of Cognition). The internal consistency values of the reduced scale are within the acceptable parameters for a self-report scale and the correlations with academic achievement at the end of the first year of the university guarantee the predictive validity of the scale. This short version of regulation of cognition measure allows its use in research with other instruments in larger studies and can function as a diagnostic / screening tool to help students in higher education learning challenges.
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References
Adabaş, A., & Kaygin, H. (2016). Lifelong learning key competence levels of graduate students. Universal Journal of Educational Research, 4(12A), 31–38. doi:10.13189/ujer.2016.041305
Akin, A., Abaci, R., & Cetin, B. (2007). The validity and reliability of the Turkish version of the Metacognitive Awareness Inventory. Educational Sciences: Theory & Practice, 7(2), 671–678.
Artzt, A. F., & Armour-Thomas, E. (1992). Development of a cognitive-metacognitive framework for protocol analysis of mathematical problem solving in small groups. Cognition and Instruction, 9, 137–175. doi:10.1207/s1532690xci0902_3
Bártolo-Ribeiro, R., Simões, M., & Almeida, L. (2016). Metacognitive Awareness Inventory (MAI): Adaptação e validação da versão Portuguesa [Metacognitive Awareness Inventory (MAI): Adaptation and Validation of Portuguese Version]. Revista Iberoamericana de Diagnóstico y Evaluación, 2(42), 69–83. doi:10.21865/RIDEP42
Bernacki, M. (2018). Examining the cyclical, loosely sequenced, and contingent features of self-regulated learning: Trace data and their analysis. In D. H. Schunk & J. A. Greene (Eds.), Handbook of self-regulation of learning and performance (2nd ed.). New York: Routledge.
Cornoldi, C., Carretti, B., Drusi, S., & Tencati, C. (2015). Improving problem solving in primary school students: The effect of a training programme focusing on metacognition and working memory. British Journal of Educational Psychology, 85, 424–439. doi:10.1111/bjep.12083
Donker, A. S., De Boer, H., Kostons, D., van Ewijk, C. D., & Van der Werf, M. P. C. (2014). Effectiveness of learning strategy instruction on academic performance: A meta-analysis. Educational Research Review, 11, 1–26. doi:10.1016/j.edurev.2013.11.002
Efklides, A., Schwartz, B. L., & Brown, V. (2018). Motivation and affect in self-regulated learning: Does metacognition play a role? In D. H. Schunk & J. A. Greene (Eds.), Handbook of self-regulation of learning and performance (2nd ed.). New York: Routledge.
Evers, A., Hagemeister, C., Høstmælingen, A., Lindley, P., Muñiz, J., & Sjöberg, A. (2013). EFPA review model for the description and evaluation of psychological and educational tests. Test review form and notes for reviewers. Version 4.2.6.
Fernández, E., Bernardo, G. A. B., Suárez, N., Cerezo, R., Núñez, J. C., & Rosário, P. (2013). Predicción del uso de estrategias de autorregulación en la educación superior: Un análisis a nivel individual y de contexto. Anales de Psicología, 29(3), 865–875. doi:10.6018/analesps.29.3.139341
Ferradás, M. del M., Freire, C., & Piñeiro, S. R. E. I. (2018). Self-handicapping and self-esteem profiles and their relation to achievement goals. Anales de Psicologia, 34(3), 545–554. doi:10.6018/analesps.34.3.319781
Flavell, J. H. (1987). Speculations about the nature and development of metacognition. In F. E. Weinert & R. H. Kluwe (Eds.), Metacognition, motivation, and understanding (pp. 21–29). Hillside: Lawrence Erlbaum Associates.
Greene, J. A., Deekens, V. M., Copeland, D. Z., & Yu, S. (2018). Capturing and modeling self-regulated learning using think-aloud protocols. In D. H. Schunk & J. A. Greene (Eds.), Handbook of self- regulation of learning and performance (2nd ed.). New York: Routledge.
Guerrero, A., Pérez, J., Contreras, M., & Vega, H. (2013). Composición factorial de una escala de autoeficacia en conductas académicas en universitarios de ingeniería [Factor structure of an self-efficacy scale in academic behavior on university student’s of engineering]. Revista Iberoamericana de Diagnóstico y Evaluación – e Avaliação Psicológica, 35(1), 77–93.
Gully, S., & Chen, G. (2010). Individual differences, attribute-treatment interactions, and training outcomes. In S. J. Kozlowski, & E. Salas (Eds.), Learning, training, and development in organizations (pp. 3–64). New York, NY US: Routledge/Taylor & Francis Group.
Kleitman, S., & Stankov, L. (2007). Self-confidence and metacognitive processes. Learning and Individual Differences, 17(2), 161–173. doi:10.1016/j.lindif.2007.03.004
Kline, T. J. B. (2005). Psychological testing: A practical approach to design and evaluation. Thousand Oaks, CA US: Sage Publications.
Kline, R. (2011). Principles and practice of structural equation modeling (3rd ed.). New York: Guilford Press.
Larsen, M. R., Sommersel, H. B., & Larsen, M. S. (2013). Evidence on dropout phenomena at universities. Copenhagen: AARHUS University.
Magno, C. (2009). Developing and Assessing Self-Regulated Learning. In The Assessment Handbook: Continuing Education Program (Vol. 1, pp. 26–41) Retrieved from https://ssrn.com/abstract=1426045
Marinho-Araújo, C. M., & Almeida, L. S. (2016). Approach to competences, human development and higher education. Psicologia: Teoria e Pesquisa, 32, 1-9. doi:10.1590/0102-3772e32ne212
Michalski, T., Zion, M., & Mevarech, Z. R. (2007). Developing students’ metacognitive awareness in asynchronous learning networks in comparison to face-to-face discussion groups. Journal of Educational Computing Research, 36, 421–450.
Mokhtari, K., & Reichard, C. A. (2002). Assessing students' metacognitive awareness of reading strategies. Journal of Educational Psychology, 94(2), 249–259. doi:10.1037/0022-0663.94.2.249
Muthén, L. K., & Muthén, B. O. (2015). Mplus user’s guide (7th edition). Los Angeles, CA: Muthén & Muthén.
Ozturk, N. (2017). Assessing metacognition: Theory and practices. International Journal Assessement Tools in Education, 4(2), 134–148. doi:10.21449/ijate.298299
Pintrich, P. R., & Schunk, D. H. (2002). Motivation in Education. Englewood Cliffs, NJ: Prentice Hall.
Pintrich, P., Smith, D., Garcia, T., & McKeachie, W. (1991). A manual for the use of the motivated strategies for learning questionnaire (MSLQ). National Center for Research to Improve Postsecondary Teaching and Learning.
Rezvan, S., Ahmadh, S., & Abedi, M. (2006). The effect of metacognition training on the academic achievement and happiness of Esfahan University conditional students. Counseling Psychology Quarterly, 19(4), 415–428.
Schraw, G., & Dennison, R. S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19, 460–475. doi:10.1006/ceps.1994.1033
Schraw, G., & Moshman, D. (1995). Metacognitive Theories. Educational Psychology Review, 7(4), 351–371.
Shamir, A., Mevarech, Z. R., & Gida, C. (2009). The assessment of meta-cognition in different contexts: Individualized vs. peer-assisted learning. Metacognition and Learning, 4, 47–61.
Swanson, H. L. (1990). Influence of metacognitive knowledge and aptitude on problem solving. Journal of Educational Psychology, 82(2), 306–314.
Teng, F. (2017). The effects of task-induced involvement load on word learning and confidence judgments mediated by knowledge and regulation of cognition. Educational Sciences: Theory and Practice, 17(3), 791–808. doi:10.12738/estp.2017.3.0167
Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45(1), 89-125.
Veenman, M. V. J., & Spaans, M. (2005). Relation between intellectual and metacognitive skills: Age and task differences. Learning and Individual Differences, 15, 159–176. doi:10.1016/j.lindif.2004.12.001
Veenman, M. V. J., Van Hout-Wolters, B. H. A. M., & Afferbach, P. (2006). Metacognition and learning: Conceptual and methodological considerations. Metacognition and Learning, 1, 3–14. doi:10.1007/s11409-006-6893-0
Weinstein, C. E., Palmer, D., & Schulte, A. C. (1987). Learning and Study Strategies Inventory (LASSI). Clearwater, FL: H & H Publishing.
Zimmerman, B. J. (1986). Becoming a self-regulated learner: Which are the key subprocesses. Contemporary Educational Psychology, 11(4), 307–313.
Zimmerman, B. J. (1995). Self-regulation involves more than metacognition: A social cognitive perspective. Educational Psychologist, 30(4), 217–221. doi:10.1207/s15326985ep3004_8
Zimmerman, B. J. (2000). Attainment of 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.
Zimmerman, B. J. (2001). Theories of self-regulated learning and academic achievement: An overview and analysis. In B.J. Zimmerman & D.H. Schunk (Eds.), Self-regulated learning and academic achievement: Theoretical perspectives (2nd ed., pp. 1–37). Mahwah, NJ: Erlbaum.
Zimmerman, B. J. (2002). Becoming a Self-Regulated Learner: An Overview. Theory Into Practice, 41(2), 64–70. doi:10.1207/s15430421tip4102_2
Zimmerman, B. J., & Martinez-Pons, M. (1986). Development of a structured interview for assessing student use of self-regulated learning strategies. American Educational Research Journal, 23, 614–628. doi:10.3102/00028312023004614
Zimmerman, B. J., & Schunk, D. H. (2011). Self-regulated learning and performance: An introduction and an overview. In B. J. Zimmerman, D. H. Schunk, B. J. Zimmerman, & D. H. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 1–12). New York, NY: Routledge/Taylor & Francis Group.
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