Italian validation of the Teacher Self-efficacy scale to implement Self-Regulated Learning (AI-AA)

Authors

DOI:

https://doi.org/10.7346/sird-012024-p32

Keywords:

teachers' self-efficacy, self-regulated learning, teaching instructional strategies, validation, CFA

Abstract

The ability to self-regulated learning represents a fundamental skill in academic success and lifelong learning. Teachers play a crucial role both in directly teaching self-regulated learning strategies and in creating a stimulating learning environment capable of fostering conditions conducive to the development of self-regulation skills. Within this framework, having a specific tool to assess teachers’ sense of self-efficacy in the field of self-regulated learning can help achieve a better understanding of such practices and the obstacles to their dissemination. The study presents the validation in the Italian context of a scale designed to assess teachers’ sense of self-efficacy in implementing self-regulated learning strategies in the classroom. The tool was administered to a sample of 1000 teachers serving in primary and secondary schools nationwide. The Italian version comprises 17 items divided into four dimensions related to direct and indirect strategies for promoting self-regulation. Confirmatory factor analysis and reliability analyses confirm the scale’s good psychometric properties and suggest its applicability in the Italian context.

References

Bandura, A. (1986), Social foundations of thought and action: A social cognitive theory. Upper Saddle River, NJ: Prentice-Hall.

Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman and Company.

Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares, & T. Urdan (Eds.), Self-efficacy beliefs of adolescents (pp. 307-337). Greenwich, CT: Information Age Publishing.

Behr, D. (2016). Assessing the use of back translation: The shortcomings of back translation as a quality testing method. International Journal of Social Research Methodology, 20(6), 573-584. http://dx.doi.org/10.1080/13645579.2016.1252188

Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238-246. https://doi.org/10.1037/0033-2909.107.2.238

Biasi, V., Domenici, G., Patrizi, N., & Capobianco, R. (2014). Teacher Self-Efficacy Scale (Scala sull’auto-efficacia del Docente–SAED): adattamento e validazione in Italia. Journal of Educational, Cultural and Psychological Studies, 10, 485-509. https://doi.org/10.7358/ecps-2014-010-bias

Bolhuis, S. (2003). Towards process-oriented teaching for self-directed lifelong learning: A multidimensional perspective. Learning and Instruction, 13(3), 327-347. http://doi.org/10.1016/S0959-4752(02)00008-7

Butler, D. L., & Winne, P. H. (1995). Feedback and self-regulated learning: a theoretical synthesis. Review of Educational Research, 65, 245-281. http://dx.doi.org/10.3102/00346543065003245

Cheung, G. W., & Resnvold, R. B. (2002). Evaluating Goodness of fit indexes for testing measurement invariance. Structural Equation Modelling: A Multidisciplinary Journal, 9, 233-255. https://doi.org/10.1207/S15328007SEM0902_5

Cornford, I. (2002). Learning-to-learn strategies as a basis for effective lifelong learning. International Journal of Lifelong Education, 21(4), 357-368. https://doi.org/10.1080/02601370210141020

Curtarelli, M., & van Houten, G. (2018). Questionnaire translation in the European Company Survey: Conditions conducive to the effective implementation of a TRAPD based approach. The International Journal for Translation & Interpreting Research, 10(2), 34-54. https://doi.org/10.12807/ti.110202.2018.a04

De Smul, M., Heirweg, S., Van Keer, H., Devos, G., & Vandevelde, S. (2018). How competent do teachers feel instructing self-regulated learning strategies? Development and validation of the teacher self-efficacy scale to implement self-regulated learning. Teaching and teacher education, 71, 214-225. https://doi.org/10.1016/j.tate.2018.01.001

Deakin Crick, R. (2007). Learning how to learn: the dynamic assessment of learning power. The Curriculum Journal, 18(2), 135-153. https://doi.org/10.1080/09585170701445947

Dellinger, A. B., Bobbett, J. J., Olivier, D. F., & Ellett, C. D. (2008). Measuring teachers’ self-efficacy beliefs: Development and use of the TEBS-Self. Teaching and Teacher Education, 24(3), 751-766. http://doi.org/10.1016/j.tate.2007.02.010

Dignath-van Ewijk, C., Dickhäuser, O., & Büttner, G. (2013). Assessing how teachers enhance self-regulated learning: A multiperspective approach. Journal of Cognitive Education and Psychology, 12(3), 338-358. https://doi.org/10.1891/1945-8959.12.3.338

Douglas, S. P., & Craig, C. S. (2007). Collaborative and iterative translation: An alternative approach to back translation. Journal of International Marketing, 15(1), 30-43. http://dx.doi.org/10.2139/ssrn.946274

Evans, J. D. (1996). Straightforward statistics for the behavioral sciences. Pacific Grove, Ca: Brooks/Cole Publishing.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research (JMR), 18(1), 39-50. http://www.jstor.org/stable/3151312

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). Harlow: Person Education Limited.

Harkness, J. A., Dorer, B., & Mohler, P. Ph. (2010). Translation, in cross-cultural surveys guidelines. Comparative Survey Design and Implementation (CSDI) Guidelines Initiative. Michigan: University of Michigan.

Hautamäki J., Arinen, P., Eronen, S., Hautamäki, A., Kupiainen, S., Lindblom, B. Niemivirta, M., Pakaslahti, L., Rantanen, P., & Scheinin, P. (2002). Assessing learning-to-learn: a framework. Helsinki: Opetushallitus.

Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55.

Jansen, R. S., Van Leeuwen, A., Janssen, J., Jak, S., & Kester, L. (2019). Self-regulated learning partially mediates the effect of self-regulated learning interventions on achievement in higher education: A meta-analysis. Educational Research Review, 28, Article 100292.

Kang, N. H., & Wallace, C. S. (2005). Secondary science teachers’ use of laboratory activities: Linking epistemological beliefs, goals, and practices. Science education, 89(1), 140-165.

Kistner, S., Rakoczy, K., Otto, B., Dignath-van Ewijk, C., Büttner, G., & Klieme, E. (2010). Promotion of self-regulated learning in classrooms: Investigating frequency, quality, and consequences for student performance. Metacognition and Learning, 5(2), 157-171. http://doi.org/10.1007/s11409-010-9055-3

Kistner, S., Rakoczy, K., Otto, B., Klieme, E., & Büttner, G. (2015). Teaching learning strategies: The role of instructional context and teacher beliefs. Journal for Educational Research Online, 7(1), 176-197. https://doi.org/10.25656/01:11052

Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York: Guilford Press.

Levitt, K. E. (2001). An analysis of elementary teachers’ beliefs regarding the teaching and learning of science. Science education, 86(1), 1-22. https://doi.org/10.1002/sce.1042

Lombaerts, K., Engels, N., & van Braak, J. (2009). Determinants of teachers’ recognitions of self-regulated learning practices in elementary education. Journal of Educational Research, 102(3), 163-174. https://doi.org/10.3200/JOER.102.3.163-174

Mardia, K. V. (1970). Measures of multivariate Skewness and Kurtosis with applications. Biometrika, 57(3), 519-530. https://doi.org/10.1093/biomet/57.3.519

Meade, A. W., Johnson, E. C., & Braddy, P. W. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93(3), 568-592. https://doi.org/10.1037/0021-9010.93.3.568

Moos, D. C., & Ringdal, A. (2012). Self-regulated learning in the classroom: A literature review on the teacher’s role. Education Research International, 2012.

OECD (2020). What Students Learn Matters: Towards a 21st Century Curriculum. Paris: OECD Publishing.

Otto, B. (2010). How can motivated self-regulated learning be improved? In Mourad A., & de la Fuente Arias J. (Eds.), International perspectives on applying self-regulated learning in different settings (pp. 183-204). Frankfurt am Main: Peter Lang.

Paris, S. G., & Paris, A. H. (2001). Classroom applications of research on self-regulated learning. Educational Psychologist, 36(2), 89-101. https://doi.org/10.1207/S15326985EP3602_4

Pavlov, G., Shi, D., & Maydeu-Olivares, a. (2020) Chi-square Difference Tests for Comparing Nested Models: An Evaluation with Non-normal Data. Structural Equation Modeling: A Multidisciplinary Journal, 27(6), 908-917. https://doi.org/10.1080/10705511.2020.1717957

Peeters, J., De Backer, F., Reina, V. R., Kindekens, A., Buffel, T., & Lombaerts, K. (2014). The role of teachers’ self-regulatory capacities in the implementation of self-regulated learning practices. Procedia-Social and Behavioral Sciences, 116, 1963-1970. https://doi.org/10.1016/j.sbspro.2014.01.504

Perry, N. E., Phillips, L., & Dowler, J. (2004). Examining features of tasks and their potential to promote self-regulated learning. Teachers College Record, 106(9), 1854-1878. https://doi.org/10.1111/j.1467-9620.2004.00408.x

Perry, N. E., VandeKamp, K. O., Mercer, L. K., & Nordby, C. J. (2002). Investigating teacher e student interactions that foster self-regulated learning. Educational Psychologist, 37(1), 5-15. https://doi.org/10.1207/00461520252828519

Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1-36. https://doi.org/10.18637/jss.v048.i02

Sala, A., Punie, Y., Garkov, V., & Cabrera Giraldez, M. (2020). LifeComp: The European Framework for Personal, Social and Learning to Learn Key Competence, EUR 30246 EN. Luxembourg: Publications Office of the European Union.

Sarstedt, M., Hair Jr, J. F., Cheah, J. H., Becker, J. M., & Ringle, C. M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal (AMJ), 27(3), 197-211. https://doi.org/10.1016/j.ausmj.2019.05.003

Satorra, A., & Bentler, P. M. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66(4), 507-514. https://doi.org/10.1007/BF02296192

Schraw, G., Crippen, K. J., & Hartley, K. (2006). Promoting self-regulation in science education: Metacognition as part of a broader perspective on learning. Research in Science Education, 36(1-2), 111-139. https://doi.org/10.1007/s11165-005-3917-8

Spruce, R., & Bol, L. (2014). Teacher beliefs, knowledge, and practice of self-regulated learning. Metacognition and Learning, 10(2), 245-277.

Steiger, J. H. (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research, 25, 173-180. https://doi.org/10.1207/s15327906mbr2502_4

Taber, K. S. (2017). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in science education, 48, 1273-1296. https://doi.org/10.1037/0021-9010.78.1.98

Theobald, M. (2021). Self-regulated learning training programs enhance university students’ academic performance, self-regulated learning strategies, and motivation: A meta-analysis. Contemporary Educational Psychology, 66, Article 101976. https://doi.org/10.1016/j.cedpsych.2021.101976

Tschannen-Moran, M., & Woolfolk Hoy, A. (2001). Teacher efficacy: Capturing an elusive construct. Teaching and Teacher Education, 17(7), 783-805. https://doi.org/10.1016/S0742-051X(01)00036-1

Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38(1), 1-10. https://doi.org/10.1007/BF02291170

Winne, P. H. (2005). A perspective on state-of-the-art research on self-regulated learning. Instructional Science, 33(5-6), 559-565. https://doi.org/10.1007/s11251-005-1280-9

Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41(2), 64-71. https://doi.org/10.1207/s15430421tip4102_2

Published

2024-06-29

How to Cite

Scierri, I. D. M. (2024). Italian validation of the Teacher Self-efficacy scale to implement Self-Regulated Learning (AI-AA). ITALIAN JOURNAL OF EDUCATIONAL RESEARCH, (32), 032–046. https://doi.org/10.7346/sird-012024-p32

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