Academic Motivation, Perceived Creativity Fostering Teacher Behavior, and Student Engagement in Online Statistics Course of Indonesian Undergraduates: An Investigation of Relations and Predictability

Astri Setiamurti, Rose Mini Agoes Salim, Frieda Maryam Mangunsong, Shahnaz Safitri, Atikah Ainun Mufidah, Maridha Normawati

Abstract


This study aims to analyze the relationship and influence of academic motivation and perceived creativity fostering teacher behavior (P-CFTB) on student engagement in Statistics online learning courses in Indonesia. The research used a cross-sectional design study with a quantitative approach. Three standardized scales (academic motivation scale, perceived creativity fostering teacher index, and university student engagement inventory) were filled out by 533 psychology undergraduates who participated. All data were analyzed statistically by descriptive, correlational, and multiple linear regression tests. The results show that academic motivation and student engagement, P-CFTB and student engagement were related moderately and positively (r = 0.582, r = 0.593; p < .001, respectively). Furthermore, academic motivation and P-CFTB simultaneously affected students’ learning engagement by 48%. The result shows that when students’ academic motivation is combined with creativity fostering teacher behavior, student engagement in online learning increases.


Keywords


Academic Motivation; Creativity Fostering Teacher Behavior; Student Engagement; Online Learning; Statistic Course.

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Almarghani, E. M., & Mijatovic, I. (2017). Factors affecting student engagement in HEIs - it is all about good teaching. Teaching in Higher Education, 22(8), 940–956. https://doi.org/10.1080/13562517.2017.1319808

Ate, A., Zaineldeenc, S., Zhaohui, C., & Zhao, Y. (2021). Assessing the e-learning readiness of universities in developing countries and expected obstacles. Makara Journal of Technology, 25(3). https://doi.org/10.7454/mst.v25i3.4047

Auliani, R. (2010). Hubungan antara tipe kecemasan dengan prestasi belajar statistik mahasiswa Fakultas Psikologi UIN Jakarta [The relationship between anxiety types and statistical learning achievement of students of the Faculty of Psychology, UIN Jakarta] [Undergraduate Thesis]. UIN Syarif Hidayatullah.

Azwar, S. (2012). Penyusunan Skala Psikologi (2nd ed.). Pustaka Pelajar.

Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spines, 25(24), 3186–3191.

Besser, A., Flett, G. L., & Zeigler-Hill, V. (2022). Adaptability to a sudden transition to online learning during the COVID-19 pandemic: Understanding the challenges for students. Scholarship of Teaching and Learning in Psychology, 8(2), 85–105. https://doi.org/10.1037/stl0000198

Carini, R. M., Kuh, G. D., & Klein, S. P. (2006). Student engagement and student learning: Testing the linkages. Research in Higher Education, 47(1), 1–32. https://doi.org/10.1007/s11162-005-8150-9

Cayubit, R. F. O. (2022). Why learning environment matters? An analysis on how the learning environment influences the academic motivation, learning strategies and engagement of college students. Learning Environments Research, 25(2), 581–599. https://doi.org/10.1007/s10984-021-09382-x

Chen, C., Landa, S., Padilla, A., & Yur-Austin, J. (2021). Learners’ experience and needs in online environments: adopting agility in teaching. Journal of Research in Innovative Teaching & Learning, 14(1), 18–31. https://doi.org/10.1108/JRIT-11-2020-0073

Czerkawski, B. C., & Lyman, E. W. (2016). An instructional design framework for fostering student engagement in online learning environments. TechTrends, 60(6), 532–539. https://doi.org/10.1007/s11528-016-0110-z

Dancey, C. P., & Reidy, J. (2007). Statistics without maths for psychology. Pearson Education.

Dogan, U. (2015). Student engagement, academic self-efficacy, and academic motivation as predictors of academic performance. The Anthropologist, 20(3), 553–561. https://doi.org/10.1080/09720073.2015.11891759

Dwi Marvianto, R., & Widhiarso, W. (2018). Adaptasi Academic Motivation Scale (AMS) versi Bahasa Indonesia [Adaptation of Academic Motivation Scale (AMS) Indonesian version]. Gadjah Mada Journal of Psychology, 4(1), 87–95.

Gettle, C. M. (2022). How personality traits and academic motivation affect engagement in synchronous online university courses [Undergraduate Thesis]. University of Regina.

Hariyanto, D., Triyono, M. B., & Köhler, T. (2020). Usability evaluation of personalized adaptive e-learning system using USE questionnaire. Knowledge Management and E-Learning, 12(1), 85–105. https://doi.org/10.34105/j.kmel.2020.12.005

Harper, S. R., & Quaye, S. J. (2009). Student engagement in higher education: Theoretical perspectives and practical approaches for diverse populations. In S. R. Harper & S. J. Quaye (Eds.), Student engagement in higher education. Routledge.

Henrie, C. R., Bodily, R., Manwaring, K. C., & Graham, C. R. (2015). Exploring intensive longitudinal measures of student engagement in blended learning. The International Review of Research in Open and Distributed Learning, 16(3). https://doi.org/10.19173/irrodl.v16i3.2015

Hu, L., & 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. https://doi.org/10.1080/10705519909540118

Hu, M., Li, H., Deng, W., & Guan, H. (2016). Student engagement: One of the necessary conditions for online learning. 2016 International Conference on Educational Innovation through Technology (EITT), 122–126. https://doi.org/10.1109/EITT.2016.31

Jackson, N., Oliver, M., Shaw, M., & Wisdom, J. (2006). Developing creativity in higher education: An imaginative curriculum. Routledge.

Jeffrey, B., & Craft, A. (2004). Teaching creatively and teaching for creativity: Distinctions and relationships. Educational Studies, 30(1), 77–87. https://doi.org/10.1080/0305569032000159750

Kaplan, R. M., & Saccuzzo, D. P. (2017). Psychological testing: Principles, applications, and issues. Cengage Learning.

Kasmaienezhadfard, S., Pourrajab, M., & Rabbani, M. (2015). Effects of pictures in textbooks on students’ creativity. Multi Disciplinary Edu Global Quest (Quarterly), 4(2), 83–96.

Khalil, R., Mansour, A. E., Fadda, W. A., Almisnid, K., Aldamegh, M., Al-Nafeesah, A., Alkhalifah, A., & Al-Wutayd, O. (2020). The sudden transition to synchronized online learning during the COVID-19 pandemic in Saudi Arabia: a qualitative study exploring medical students’ perspectives. BMC Medical Education, 20(1), 285. https://doi.org/10.1186/s12909-020-02208-z

Khusniyah, N. L., & Hakim, L. (2019). Efektivitas pembelajaran berbasis daring: Sebuah bukti pada pembelajaran bahasa Inggris [The effectiveness of online-based learning: An evidence on learning English]. Jurnal Tatsqif, 17(1), 19–33. https://doi.org/10.20414/jtq.v17i1.667

Kuh, G. D. (2009). What student affairs professionals need to know about student engagement. Journal of College Student Development, 50(6), 683–706. https://doi.org/10.1353/csd.0.0099

Kuntarto, E. (2017). Keefektifan model pembelajaran daring dalam perkuliahan bahasa Indonesia di perguruan tinggi [The effectiveness of online learning models in Indonesian language class in higher institutions]. Journal Indonesian Language Education and Literature, 3(1), 99–110. https://doi.org/10.24235/ileal.v3i1.1820

Lawton, S., & Taylor, L. (2020). Student Perceptions of Engagement in an Introductory Statistics Course. JOURNAL OF STATISTICS EDUCATION, 2020(1), 45–55. https://doi.org/10.1080/10691898.2019.1704201

Lin, L. C. (2012). Measuring adult learners’ foreign language anxiety, motivational factors, andachievement expectations: A comparative study between Chinese as a second-languagestudents and English as a second language students [Doctoral Dissertation]. Cleveland State University.

Maroco, J., Maroco, A. L., Campos, J. A. D. B., & Fredricks, J. A. (2016). University student’s engagement: Development of the University Student Engagement Inventory (USEI). Psicologia: Reflexão e Crítica, 29(1), 21. https://doi.org/10.1186/s41155-016-0042-8

Maulana, H. A., & Hamidi, M. (2020). Persepsi mahasiswa terhadap pembelajaran daring pada mata kuliah praktik di pendidikan vokasi [Student perceptions of online learning in practical courses in vocational education]. Equilibrium: Jurnal Pendidikan, 8(2), 224–231. https://doi.org/10.26618/equilibrium.v8i2.3443

Maulana, H. A., & Iswari, R. D. (2020). Analisis tingkat stres mahasiswa terhadap pembelajaran daring pada mata kuliah statistik bisnis di pendidikan vokasi [Analysis of student stress levels towards online learning in business statistics courses in vocational education]. Khazanah Pendidikan, 14(1). https://doi.org/10.30595/jkp.v14i1.8479

McBrien, J. L., Cheng, R., & Jones, P. (2009). Virtual spaces: Employing a synchronous online classroom to facilitate student engagement in online learning. The International Review of Research in Open and Distributed Learning, 10(3). https://doi.org/10.19173/irrodl.v10i3.605

Midi, H., Sarkar, S. K., & Rana, S. (2010). Collinearity diagnostics of binary logistic regression model. Journal of Interdisciplinary Mathematics, 13(3), 253–267. https://doi.org/10.1080/09720502.2010.10700699

Milligan, C., Littlejohn, A., & Margaryan, A. (2013). Patterns of engagement in connectivist MOOCs. Journal of Online Learning and Teaching, 9(2), 149–159. https://www.researchgate.net/publication/261831667

Mohtar, M., & Yunus, M. M. (2022). A Systematic Review of Online Learning during COVID 19: Students’ Motivation, Task Engagement and Acceptance. Arab World English Journal, 2, 202–215. https://doi.org/10.24093/awej/covid2.13

Mulenga, E. M., & Marbán, J. M. (2020). Prospective teachers’ online learning mathematics activities in the age of COVID-19: A cluster analysis approach. Eurasia Journal of Mathematics, Science and Technology Education, 16(9), em1872. https://doi.org/10.29333/ejmste/8345

Myint, K. M., & Khaing, N. N. (2020). Factors influencing academic engagement of university students: A meta-analysis study. Journal of the Myanmar Academy of Arts and Science, 18(9B), 185–199. https://www.researchgate.net/publication/352441444

Nissim, Y., Weissblueth, E., Scott-Webber, L., & Amar, S. (2016). The effect of a stimulating learning environment on pre-service teachers’ motivation and 21st century skills. Journal of Education and Learning, 5(3), 29. https://doi.org/10.5539/jel.v5n3p29

Nuere, S., & de Miguel, L. (2021). The digital/technological connection with COVID-19: An unprecedented challenge in university teaching. Technology, Knowledge and Learning, 26(4), 931–943. https://doi.org/10.1007/s10758-020-09454-6

Nursalim, M. P. (2020, March 26). COVID-19 dan kesiapan e-learning perguruan tinggi [COVID-19 and higher education e-learning readiness]. LPPM Universitas Pamulang. https://lppm.unpam.ac.id/2020/03/26/covid-19-dan-kesiapan-e-learning-perguruan-tinggi/

Osborne, J. W., & Waters, E. (2002). Four assumptions of multiple regression that researchers should always test. Practical Assessment, Research, and Evaluation, 8(2).

Pachler, D., Kuonath, A., & Frey, D. (2019). How transformational lecturers promote students’ engagement, creativity, and task performance: The mediating role of trust in lecturer and self-efficacy. Learning and Individual Differences, 69, 162–172. https://doi.org/10.1016/j.lindif.2018.12.004

Parsons, J., & Taylor, L. (2011). Student engagement: What do we know and whatshould we do. University of Alberta.

Primana, L. (2015). Pengaruh dukungan makna belajar dari dosen, motivasi intrinsik, self efficacy, dan pandangan otoritas sumber informasi terhadap keterlibatan belajar Mahasiswa Universitas Indonesia [The contribution of lecturer s meaning support in learning intrinsic motivation self efficacy and student s perceived epistemic authority on learning engagement of University Indonesia s Students] [Dissertation, Universitas Indonesia]. https://lib.ui.ac.id/detail?id=20416085&lokasi=lokal

Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23–74.

Schreiner, L. A., & Louis, M. C. (2006). Measuring engaged learning in college students: Beyond the borders of NSSE. Annual Meeting of the Association for the Study of Higher Education.

Skinner, E. A., Kindermann, T. A., & Furrer, C. J. (2009). A motivational perspective on engagement and disaffection. Educational and Psychological Measurement, 69(3), 493–525. https://doi.org/10.1177/0013164408323233

Soh, K. C. (2000). Indexing creativity fostering teacher behavior: A preliminary validation study. The Journal of Creative Behavior, 34(2), 118–134. https://doi.org/10.1002/j.2162-6057.2000.tb01205.x

Soh, K. C. (2017). Fostering student creativity through teacher behaviors. Thinking Skills and Creativity, 23, 58–66. https://doi.org/10.1016/j.tsc.2016.11.002

Staikopoulos, A., OKeeffe, I., Yousuf, B., Conlan, O., Walsh, E., & Wade, V. (2015). Enhancing student engagement through personalized motivations. 2015 IEEE 15th International Conference on Advanced Learning Technologies, 340–344. https://doi.org/10.1109/ICALT.2015.116

World Economic Forum. (2020). The future of jobs report 2020. https://www3.weforum.org/docs/WEF_Future_of_Jobs_2020.pdf




DOI: https://doi.org/10.33394/jk.v9i2.7511

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