Goal Setting and Goal Orientation as Predictors of Learning Satisfaction and Online Learning Behavior in Higher Education Blended Courses
Vol.28,No.3(2023)
Studia paedagogica: Learning Analytics to Study and Support Self-regulated Learning
self-regulated learning; goal setting; goal orientation; learning engagement; online learning behavior; course satisfaction
[1] Amrita Kaur, M. N., & Awang-Hashim, R. (2018). The role of goal orientations in students' perceptions of classroom assessment in higher education. Assessment & Evaluation in Higher Education, 43(3), 461-472. https://doi.org/10.1080/02602938.2017.1359818
[2] Ballouk, R., Mansour, V., Dalziel, B., McDonald, J., & Hegazi, I. (2022). Medical students' self-regulation of learning in a blended learning environment: A systematic scoping review. Medical Education Online, 27(1), 2029336. https://doi.org/10.1080/10872981.2022.2029336
[3] Barnard, L., Lan, W. Y., To, Y. M., Paton, V. O., & Lai, S.-L. (2009). Measuring self-regulation in online and blended learning environments. The Internet and Higher Education, 12(1), 1-6. https://doi.org/10.1016/j.iheduc.2008.10.005
[4] Barnard, L., Paton, V., & Lan, W. (2008). Online self-regulatory learning behaviors as a mediator in the relationship between online course perceptions with achievement. The International Review of Research in Open and Distributed Learning, 9(2). https://doi.org/10.19173/irrodl.v9i2.516
[5] Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1-48. https://doi.org/10.18637/jss.v067.i01
[6] 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
[7] El-Sayad, G., Saad, N. H. M., & Thurasamy, R. (2021). How higher education students in Egypt perceived online learning engagement and satisfaction during the COVID-19 pandemic. Journal of Computers in Education, 8, 527-550. https://doi.org/10.1007/s40692-021-00191-y
[8] Gao, B. W., Jiang, J., & Tang, Y. (2020). The effect of blended learning platform and engagement on students' satisfaction—the case from the tourism management teaching. Journal of Hospitality, Leisure, Sport & Tourism Education, 27, 100272. https://doi.org/10.1016/j.jhlste.2020.100272
[9] Gašević, D., Dawson, S., Rogers, T., & Gasevic, D. (2016). Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic success. The Internet and Higher Education, 28, 68-84. https://doi.org/10.1016/j.iheduc.2015.10.002
[10] Heck, R. H., & Thomas, S. L. (2015). An introduction to multilevel modeling techniques: MLM and SEM approaches using mplus. Taylor & Francis.
[11] Hox, J. J. (2010). Multilevel analysis: Techniques and applications. Routledge.
[12] Huang, J.-C. (2023). Implementation effect of integrating cooperative inquiry into blended learning: Analysis of students' goal setting, task value, and well-being. Interactive Learning Environments, 1-16. https://doi.org/10.1080/10494820.2023.2205896
[13] Ifenthaler, D., & Schumacher, C. (2016). Student perceptions of privacy principles for learning analytics. Educational Technology Research and Development, 64, 923-938. https://doi.org/10.1007/s11423-016-9477-y
[14] Jo, I.-H., Kim, D., & Yoon, M. (2015). Constructing proxy variables to measure adult learners' time management strategies in LMS. Journal of Educational Technology & Society, 18(3), 214-225. Retrieved from http://www.jstor.org/stable/jeductechsoci.18.3.214
[15] Kaplan, A., & Maehr, M. L. (2007). The contributions and prospects of goal orientation theory. Educational Psychology Review, 19, 141-184. https://doi.org/10.1007/s10648-006-9012-5
[16] Kasser, T., & Ryan, R. M. (1996). Further examining the american dream: Differential correlates of intrinsic and extrinsic goals. Personality and Social Psychology Bulletin, 22(3), 280-287. https://doi.org/10.1177/0146167296223006
[17] Ke, F., & Kwak, D. (2013). Online learning across ethnicity and age: A study on learning interaction participation, perception, and learning satisfaction. Computers & Education, 61, 43-51. https://doi.org/10.1016/j.compedu.2012.09.003
[18] Kim, D., Park, Y., Yoon, M., & Jo, I.-H. (2016). Toward evidence-based learning analytics: Using proxy variables to improve asynchronous online discussion environments. The Internet and Higher Education, 30, 30-43. https://doi.org/10.1016/j.iheduc.2016.03.002
[19] 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, 233-251. https://doi.org/10.1016/j.compedu.2018.08.023
[20] Klein, H. J., Noe, R. A., & Wang, C. (2006). Motivation to learn and course outcomes: The impact of delivery mode, learning goal orientation, and perceived barriers and enablers. Personnel Psychology, 59(3), 665-702. https://doi.org/10.1111/j.1744-6570.2006.00050.x
[21] Kovanović, V., Gašević, D., Dawson, S., Joksimović, S., Baker, R. S., & Hatala, M. (2015a). Does time-on-task estimation matter? Implications on validity of learning analytics findings. Journal of Learning Analytics, 2(3), 81-110. https://doi.org/10.18608/jla.2015.23.6
[22] Kovanović, V., Gašević, D., Joksimović, S., Hatala, M., & Adesope, O. (2015b). Analytics of communities of inquiry: Effects of learning technology use on cognitive presence in asynchronous online discussions. The Internet and Higher Education, 27, 74-89. https://doi.org/10.1016/j.iheduc.2015.06.002
[23] Lee, J. Q., McInerney, D. M., Liem, G. A. D., & Ortiga, Y. P. (2010). The relationship between future goals and achievement goal orientations: An intrinsic-extrinsic motivation perspective. Contemporary Educational Psychology, 35(4), 264-279. https://doi.org/10.1016/j.cedpsych.2010.04.004
[24] Lee, S. J., Srinivasan, S., Trail, T., Lewis, D., & Lopez, S. (2011). Examining the relationship among student perception of support, course satisfaction, and learning outcomes in online learning. The Internet and Higher Education, 14(3), 158-163. https://doi.org/10.1016/j.iheduc.2011.04.001
[25] Lindfors, E. (2021). Students' goal orientations during a pedagogical innovation process: A study in craft, design and technology teacher education. Techne Serien - Forskning i Slöjdpedagogik Och Slöjdvetenskap, 28(2), 221-232. Retrieved from https://journals.oslomet.no/index.php/techneA/article/view/4381
[26] Ma, L., & She, L. (2023). Self-regulated learning and academic success in online college learning. The Asia-Pacific Education Researcher. https://doi.org/10.1007/s40299-023-00748-8
[27] Miller, A. L., Fassett, K. T., & Palmer, D. L. (2021). Achievement goal orientation: A predictor of student engagement in higher education. Motivation and Emotion, 45, 327-344. https://doi.org/10.1007/s11031-021-09881-7
[28] Murillo-Zamorano, L. R., López Sánchez, J. Á., & Godoy-Caballero, A. L. (2019). How the flipped classroom affects knowledge, skills, and engagement in higher education: Effects on students' satisfaction. Computers & Education, 141, 103608. https://doi.org/10.1016/j.compedu.2019.103608
[29] Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.00422
[30] Pintrich, P. R. (2000). Chapter 14 - 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. https://doi.org/10.1016/B978-012109890-2/50043-3
[31] Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4), 385-407. https://doi.org/10.1007/s10648-004-0006-x
[32] Pintrich, P. R., Smith, D. A. F., García, T., & McKeachie, W. J. (1991). A manual for the use of the motivated strategies questionnaire (MSLQ). University of Michigan.
[33] Posit team. (2023). RStudio: Integrated development environment for R. Posit Software, PBC. Retrieved from http://www.posit.co/
[34] R Core Team. (2023). R: A language and environment for statistical computing. R Foundation for Statistical Computing. Retrieved from https://www.R-project.org/
[35] Rajabalee, Y. B., & Santally, M. I. (2021). Learner satisfaction, engagement and performances in an online module: Implications for institutional e-learning policy. Education and Information Technologies, 26, 2623-2656. https://doi.org/10.1007/s10639-020-10375-1
[36] Sánchez-Cardona, I., Ortega-Maldonado, A., Salanova, M., & Martínez, I. M. (2021). Learning goal orientation and psychological capital among students: A pathway to academic satisfaction and performance. Psychology in the Schools, 58(7), 1432-1445. https://doi.org/10.1002/pits.22505
[37] Schwam, D., Greenberg, D., & Li, H. (2021). Individual differences in self-regulated learning of college students enrolled in online college courses. American Journal of Distance Education, 35(2), 133-151. https://doi.org/10.1080/08923647.2020.1829255
[38] She, L., Ma, L., Jan, A., Sharif Nia, H., & Rahmatpour, P. (2021). Online learning satisfaction during COVID-19 pandemic among Chinese university students: The serial mediation model. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.743936
[39] Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling. Sage Publications.
[40] Soyer, M. K., & Kirikkanat, B. (2019). Undergraduates' achievement goal orientations, academic self-efficacy and hope as the predictors of their learning approaches. European Journal of Educational Research, 8(1), 99-106. https://doi.org/10.12973/eu-jer.8.1.99
[41] Vieira, C., Parsons, P., & Byrd, V. (2018). Visual learning analytics of educational data: A systematic literature review and research agenda. Computers & Education, 122, 119-135. https://doi.org/10.1016/j.compedu.2018.03.018
[42] Wilson, A., Watson, C., Thompson, T. L., Drew, V., & Doyle, S. (2017). Learning analytics: Challenges and limitations. Teaching in Higher Education, 22(8), 991-1007. https://doi.org/10.1080/13562517.2017.1332026
[43] Winne, P. H. (2010). Improving measurements of self-regulated learning. Educational Psychologist, 45(4), 267-276. https://doi.org/10.1080/00461520.2010.517150
[44] Winne, P. H. (2013). Self-regulated learning viewed from models of information processing. In B. J. Zimmerman & D. H. Schunk (Eds.), Self-regulated learning and academic achievement (pp. 145-178). Routledge.
[45] Winne, P. H. (2017). Learning Analytics for Self-Regulated Learning. In C. Lang, G. Siemens, A. F. Wise, & D. Gaševic (Eds.), The Handbook of Learning Analytics (1st ed., pp. 241-249). Society for Learning Analytics Research (SoLAR).
[46] Wise, A. F., & Shaffer, D. W. (2015). Why theory matters more than ever in the age of big data. Journal of Learning Analytics, 2(2), 5-13. https://doi.org/10.18608/jla.2015.22.2
[47] Wong, J., Baars, M., Davis, D., Zee, T. V. D., Houben, G.-J., & Paas, F. (2019). Supporting self-regulated learning in online learning environments and MOOCs: A systematic review. International Journal of Human-Computer Interaction, 35(4-5), 356-373. https://doi.org/10.1080/10447318.2018.1543084
[48] Zeidner, M., & Stoeger, H. (2019). Self-Regulated Learning (SRL): A guide for the perplexed. High Ability Studies, 30(1-2), 9-51. https://doi.org/10.1080/13598139.2019.1589369
[49] Zhang, S., & Liu, Q. (2019). Investigating the relationships among teachers' motivational beliefs, motivational regulation, and their learning engagement in online professional learning communities. Computers & Education, 134, 145-155. https://doi.org/10.1016/j.compedu.2019.02.013
[50] Zhang, Y., Zhang, J., & Li, J. (2018). The effect of intrinsic and extrinsic goals on work performance: Prospective and empirical studies on goal content theory. Personnel Review, 47(4), 900-912. https://doi.org/10.1108/PR-03-2017-0086
[51] Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64-70. https://doi.org/10.1207/s15430421tip4102_2
[52] Zimmerman, B. J., & Campillo, M. (2003). Motivating self-regulated problem solvers. In J. E. Davidson & R. J. Sternberg (Eds.), The psychology of problem solving (pp. 233-262). Cambridge University Press. https://doi.org/10.1017/CBO9780511615771.009
[53] 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/Taylor & Francis Group.
This work was supported by the Czech Science Foundation [grant number 21-08218S, Multimodal learning analytics to study self-regulated learning processes within learning management systems].
Copyright © 2024 Studia paedagogica