Development of Measurement Model of Student Teachers’ Self - Regulated Learning in Online Learning
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Abstract
This research aimed to develop and validate the measurement model of student teachers’ self - regulated learning in online learning. Data were collected from 172 of student teachers in private universities chosen by stratified random sampling, using a rating scale questionnaire with 37 question items. The questionnaire with content validity at good congruence ranged from .722 to
.867 and the Cronbach's alpha coefficient of internal consistency reliability ranged from .903 to
.949. First-order confirmatory factor analysis was used to analyze data. The findings were that the
measurement model consisted of 7 factors which were fit with the empirical data: χ2 (df = 6, N = 172) = 7.691, p-value = .2617, CFI = .999, TLI = .996, SRMR = .007, RMSEA = .040, factor loading
ranged from .865 to .938 and each factor had construct validity at good.
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References
Artino Jr. A. R. (2008). Motivational beliefs and perceptions of instructional quality: Predicting satisfaction with online training. Journal of Computer Assisted Learning, 24(3), 260-270. https://doi.org/10.1111/j.1365-2729.2007.00258.x
Balkis, M., & Duru, E. (2016). Procrastination, self-regulation failure, academic life satisfaction, and affective well-being: Under-regulation or mis-regulation form. European Journal of Psychology of Education, 31, 439-459. https://doi.org/10.1007/s10212-015-0266-5
Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice-Hall.
Barnard-Brak, L., Lan, W. Y., To, Y. M., Paton, V. O., & Lai, S. -L. (2009). Measuring Self-regulation in Online and Blended Learning Environments. Internet and Higher Education, 12, 1-6. https://doi.org/10.1016/j.iheduc.2008.10.005
Barnard-Brak, L., Paton, V., & Lan, W. (2010). Profiles in self-regulated learning in the online learning environment. International Review of Research in Open and Distributed Learning, 11(1), 61-80. https://doi.org/10.19173/irrodl.v11i1.769
Boekaerts, M. (1997). Self-regulated learning: a new concept embraced by researchers, policy makers, educators, teachers, and students. Learning and Instruction, 7(2), 161-186. https://doi.org/10.1016/S0959-4752(96)00015-1
Boekaerts, M., & Corno, L. (2005). Self-regulation in the classroom: A perspective on assessment and intervention. Applied Psychology, 54(2), 199-231. https://doi.org/10.1111/j.1464-0597.2005.00205.x
Boekaerts, M., & Rozendaal, J. S. (2007). New insights into the self-regulation of writing skills in secondary vocational education. Journal of Psychology/Zeitschrift für Psychologie, 215(3), 164-173. https://doi.org/10.1027/0044-3409.215.3.164
Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1-13. https://doi.org/10.1016/j.iheduc.2015.04.007
Broadbent, J., Panadero, E., Lodge, J., & Barba, P. D. (2020). Technologies to Enhance Self-Regulated Learning in Online and Computer-Mediated Learning Environments. In M. J. Bishop E. Boling J. Elen & V. Svihla (Eds.), Handbook of Research in Educational Communications and Technology: Learning Design (5th ed.) (pp.37-52). Springer Nature Switzerland AG.
Brown, J. M., Miller, W. R., & Lawendowski, L. A. (1999) The Self-Regulation Questionnaire. In L. Vandecreek & T. L. Jackson (Eds.), Innovations in Clinical Practice: A Sourcebook, Vol. 17 (pp.281-292). Professional Resource Press/Professional Resource Exchange.
Browning, M. H. E. M., Larson, L. R., Sharaievska, I. Rigolon, A. McAnirlin, O. Mullenbach, L. ... Alvarez, H. O. (2021). Psychological impacts from COVID-19 among university students: Risk factors across seven states in the United States. PLoS ONE, 16(1), e0245327. https://doi.org/10.1371/journal.pone.0245327
Chen, Y.-H., & Lin, Y.-J. (2018). Validation of the short self-regulation questionnaire for Taiwanese college students (TSSRQ). Frontiers in Psychology. 9, Article no. 259. https://doi.org/10.3389/fpsyg.2018.00259
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates, Publishers.
Dörrenbächer-Ulrich, L., Weißenfels, M., Russer, L., & Perels, F. (2021). Multimethod assessment of self-regulated learning in college students: different methods for different components? Instructional Science, 49, 137-163. https://doi.org/10.1007/s11251-020-09533-2
Garzón Umerenkova, A., De la Fuente Arias, J., Martínez-Vicente2, J. M., Sevillano, L. Z., Pichardo, M. C., & García-Berbén, A. B. (2017). Validation of the Spanish Short Self-Regulation Questionnaire (SSSRQ) through Rasch analysis. Frontiers in Psychology, 8, Article no.276. https://doi.org/10.3389/fpsyg.2017.00276
Gavora, P., Jakešová, J., & Kalenda, J. (2015). The Czech validation of the self- regulation questionnaire. Procedia - Social and Behavioral Sciences, 171, 222-230. https://doi.org/10.1016/j.sbspro.2015.01.113
Giray, G. (2021). An assessment of student satisfaction with e-learning: An empirical study with computer and software engineering undergraduate students in Turkey under pandemic conditions. Education and Information Technologies, 26, Article no. 8809. https://doi.org/10.1007/s10639-021-10454-x
Hand, H. (2021). Self-Regulated Learning in a Pandemic: Implementing the SEE Framework in an Online Teaching Environment. Undergraduate Honors Capstone Projects. 698. The Department of Psychology: Utah State University. https://digitalcommons.usu.edu/honors/698
Jansen, R. S., Van Leeuwen, A., Janssen, J., & Kester, L. (2018). Validation of the Revised Self-Regulated Online Learning Questionnaire. In V. Pammer-Schindler M. Pérez-Sanagustín H. Drachsler R. Elferink & M. Scheffel (Eds.), European Conference on Technology Enhanced Learning (pp. 116-121). Springer.
Jansen, R. S., Van Leeuwen, A., Janssen, J., Conijn, R., & Kester, L. (2020). Supporting learners’ self-regulated learning in Massive Open Online Courses. Computers & Education, 146, Article no. 103771. https://doi.org/10.1016/j.compedu.2019.103771
Jansen, R. S., Van Leeuwen, A., Janssen, J., Kester, L. & Kalz, M. (2017). Validation of the self-regulated online learning questionnaire. Journal of Computing in Higher Education, 29, 6-27. https://doi.org/10.1007/s12528-016-9125-x
Karlen, Y., & Compagnon, M. (2017). Implicit theory of writing ability: Relationship to metacognitive strategy knowledge and strategy use in academic writing. Psychology Learning & Teaching, 16(1), 47-63. https://doi.org/10.1177/1475725716682887
Kim, D., Yoon, M., Jo, I-. H., & Branch, R. M. (2018). Learning analytics to support self-regulated learning in asynchronous online courses: A case study at a women's university in South Korea. Computers & Education, 127(3), 233-251. https://doi.org/10.1016/j.compedu.2018.08.023
Kurniawan, H., & Budiyono. (2021). Heroe’s model: Case study to reduce students’ learning loss and anxiety. Cypriot Journal of Educational Science, 16(3), 1122-1140. https://doi.org/10.18844/cjes.v16i3.5830
Maldonado-Mahauad, J., Perez-Sanagustín, M., Kizilcec, R. F., Morales, N., & Munoz-Gama, J. (2018). Mining theory-based patterns from big data: Identifying self-regulated learning strategies in Massive Open Online Courses. Computers in Human Behavior, 80, 179-196. https://doi.org/10.1016/j.chb.2017.11.011
Martinez-Lopez, R., Yot, C., Tuovila, I., Perera-Rodríguez, V. -H. (2017). Online Self-Regulated Learning Questionnaire in a Russian MOOC. Computers in Human Behavior, 75, 966-974. https://doi.org/10.1016/j.chb.2017.06.015
Meusen-Beekman, K. D., Brinke, D. J. -t., & Boshuizen, H. P. A. (2015). Developing young adolescents’ self-regulation by means of formative assessment: A theoretical perspective. Cogent Education, 2(1), Article no. 1071233. https://doi.org/10.1080/2331186X.2015.1071233
Panadero, E. (2017). A review of self-regulated learning: six models and four directions for research. Frontiers in Psychology, 8, Article no. 422. https://doi.org/10.3389/fpsyg. 2017.00422
Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In M. Boekaerts P. R. Pintrich & M. Zeidner (Eds.), Handbook of Self-Regulation (pp.451–502). Academic Press.
Pintrich, P. R., & DeGroot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33-40. https://doi.org/10.1037/0022-0663.82.1.33
Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). Retrieved from ERIC Database. (ED338122)
Potgieter, J. C., & Botha, K. F. (2009). Psychometric properties of the short self- regulation questionnaire (SSRQ) in a South African context. Journal of Psychology in Africa. 19, 321-328. https://doi.org/10.1080/14330237.2009.10820298
Sahranavard, S., Miri, M. R., & Salehiniya, H. (2018). The relationship between self-regulation and educational performance in students. Journal of Education and Health Promotion, 7, Article no. 154. https://doi.org/10.4103/jehp.jehp_93_18
Schunk, D. H. (1996). Attributions and the Development of Self-Regulatory Competence. Paper presented at the Annual Conference of the American Educational Research Association (New York, NY, April 8-12, 1996). Retrieved from ERIC Database. (ED 394662)
Singh, V., & Thurman, A. (2019). How many ways can we define online learning? A systematic literature review of definitions of online learning (1988-2018). American Journal of Distance Education, 33(4), 289-306. https://doi.org/10.1080/08923647.2019.1663082
Soper, D. (2021). Free Statistics Calculators Version 4.0. https://www.danielsoper.com/
Stephen, J. S., & Rockinson-Szapkiw, A. J. (2021). A high-impact practice for online students: The use of a first-semester seminar course to promote self-regulation, self-direction, online learning self-efficacy. Smart Learning Environments, 8, Article no. 6. https://doi.org/10.1186/s40561-021-00151-0
Van Alten, D. C. D., Phielix, C., Janssen, J., & Kester, L. (2021). Secondary students’ online self-regulated learning during flipped learning: A latent profile analysis. Computers in Human Behavior, 118, Article no.106676. https://doi.org/10.1016/j.chb.2020.106676
Vosloo, M., Potgieter, J., Temane, M., Ellis, S., & Khumalo, T. (2013). Validation of the Short Self-Regulation Questionnaire in a group of Black teachers: The SABPA study. SA Journal of Industrial Psychology/SA Tydskrif vir Bedryfsielkunde, 39(1), Article no. 1157. https://doi.org/10.4102/sajip.v39i1.1157
Wandler, J., & Imbriale, W. (2017). Promoting undergraduate student self-regulation in online learning environments. Online Learning, 21(2), 1-16. Retrieved from ERIC Database. (EJ1149360) http://dx.doi.org/10.24059/olj.v21i2.881
Wolters, C. A., & Brady, A. (2021). College students’ time management: A self-regulated learning perspective. Educational Psychology Review, 33(1), 319–1351. https://doi.org/10.1007/s10648-020-09519-z
Wong, J., Baars, M., He, M., De Koning, B. B., & Paas, F. (2021). Facilitating goal setting and planning to enhance online self-regulation of learning. Computers in Human Behavior, 124, Article no. 106913. https://doi.org/10.1016/j.chb.2021.106913
Zeidner, M. (2019). Self-regulated learning: Current fissures, challenges, and directions for future research. High Ability Studies, 30(1/2), 255-276. https://doi.org/10.1080/13598139.2019.1584034
Zhu, Y., Au, W., & Yates, G. (2016). University students' self-control and self-regulated learning in a blended course. Internet and Higher Education, 30, 54-62. https://doi.org/10.1016/j.iheduc.2016.04.001
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.13-40). Academic Press.
Zimmerman, B. J. (2002). Becoming a Self-Regulated Learner: An Overview. Theory Into Practice, 41(2), 64-70.
Zimmerman, B. J., & Moylan, A. R. (2009). Self-regulation: Where metacognition and motivation intersect. In D. J. Hacker J. Dunlosky & A. C. Graesser (Eds.), Handbook of Metacognition in Education (pp. 299–315). Routledge.