Differences in the Improvement of Statistical Reasoning  Ability Based on Students' Self-Regulated Learning  Level in Online Learning Using LMS

Afifah Latip Rasyid Jauhari; Tatang Herman; Dadang Juandi; Habibi Ratu Perwira Negara

doi:10.31764/jtam.v7i4.16830

Differences in the Improvement of Statistical Reasoning Ability Based on Students' Self-Regulated Learning Level in Online Learning Using LMS

Afifah Latip Rasyid Jauhari, Tatang Herman, Dadang Juandi, Habibi Ratu Perwira Negara

Abstract

In the literature, studies on technology-supported learning, especially using LMS,
have been widely carried out during a pandemic. However, little is known about
LMS, which is interesting and helps to develop students' statistical reasoning
abilities for online learning by considering the students' Self-Regulated Learning
(SRL) levels (High, medium and low). This study aims to examine and analyze the
differences in statistical reasoning abilities of students who study using LMS in
terms of SRL levels (high, medium and low). This study uses a quantitative method
with the type of One-group pre-test post-test design. What took sampled randomly
at the University of Pasundan Bandung, totalling 54 third-level students of
Pasundan University Bandung, Indonesia. Research data related to statistical
reasoning abilities were collected through a test consisting of six questions. In
contrast, SRL level data were collected using a questionnaire consisting of 46
question items. Paired t-test and One-way ANOVA analysis were applied to answer
the research hypothesis. The results of the study concluded that students studying
with LMS with High SRL obtained a higher increase in statistical reasoning ability
than students studying with LMS with Medium and low SRL categories, with the
criteria for improvement in the three categories being in the high and medium
improvement categories. Research findings related to learning using LMS can be
used as an alternative learning model in online learning situations.

Keywords

Statistical Reasoning; Self-Regulated Learning; Learning Managemen System; Social Statistics.

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References

Agustina, R., Santosa, P. I., & Ferdiana, R. (2016). Sejarah, Tantangan, dan Faktor Keberhasilan dalam Pengembangan e-Learning. Seminar Nasional Sistem Informasi Indonesia, November.

Allan Bluman. (2011). Elementary Statistics_ A Step By Step Approach, (8th Edition). In Science Engineering Math (Vol. 1999, Issue December). Science Engineering Math.

Alturki, U., & Aldraiweesh, A. (2021). Application of learning management system (Lms) during the covid-19 pandemic: A sustainable acceptance model of the expansion technology approach. Sustainability (Switzerland), 13(19). https://doi.org/10.3390/su131910991

Aminulloh, R., Jupri, A., & Juandi, D. (2021). Students’ Self-Regulated Learning During Online Learning In Vocational High School Bandung. Journal of Innovative Mathematics Learning, 4(1), 41–48. https://doi.org/10.22460/jiml.v4i1

Ana, A., & Achdiani, Y. (2017). Penerapan Self Regulated Learning Berbasis Internet Untuk Meningkatkan Kemandirian Belajar Mahasiswa. Innovation of Vocational Technology Education, 11(1), 15–22. https://doi.org/10.17509/invotec.v11i1.4835

Cahyawati, D., Wahyudin, & Prabawanto, S. (2020). Students’ statistical reasoning reviewed from academic internal factors in two learning classes. Journal of Physics: Conference Series, 1480(1), 0–5. https://doi.org/10.1088/1742-6596/1480/1/012051

Chervany, N. L., Benson, P. G., & Iyer, R. K. (2016). The Planning Stage in Statistical Reasoning. Taylor & Francis, 34(4), 222–226. https://doi.org/10.2307/2684064

Cohen, L., Manion, L., & Morrison, K. (2007). Research Methods in Education. In Research Methods in Education. https://doi.org/10.4324/9780203029053

delMas, R. C. (2002). Statistical literacy, reasoning and learning: A commentary. Journal of Statistics Education, 10(3). https://doi.org/10.1080/10691898.2002.11910679

Delyana, H., Fauzan, A., Armiati, A., Gistituati, N., & Asmar, A. (2021). Pengembangan Modul Statistika Berbasis Project Based Learning. Jurnal Cendekia : Jurnal Pendidikan Matematika, 5(3), 2313–2323. https://doi.org/10.31004/cendekia.v5i3.772

Ellena, R. C., & Leonardi, T. (2014). Perbedaan Self-Regulated Learning Siswa SMA Ditinjau dari Persepsi Terhadap Pola Asuh Orangtua. Psikologi Pendidikan Dan Perkembangan, 3(3), 179–186. https://doi.org/ISSN 2301-7104

Fadilla, A. N., Relawati, A. Su., & Ratnaningsih, N. (2021). Problematika Pembelajaran Daring Masa Pandemi Covid-19. Jurnal Jendela Pendidikan, 8(2), 145–150. https://doi.org/10.32505/tarbawi.v8i2.2562

Fardillah, F., Sutaagra, O., Supriani, Y., Farlina, E., & Priatna, N. (2019). Developing Statistical Reasoning Ability of Industrial Engineering Students Through Experiential Learning. Journal of Physics: Conference Series, 1179(1). https://doi.org/10.1088/1742-6596/1179/1/012068

Farhan, M. (2020). Kemandirian Belajar dan Kemampuan Penalaran Matematis Pada Mata Kuliah Analisis Real. Prosiding Seminar Nasional Dan Diskusi Panel Pendidikan Matematika Universitas Indraprasta PGRI, 80, 351–358. http://proceeding.unindra.ac.id/index.php/DPNPMunindra/article/view/4759

Fauzy, A., & Nurfauziah, P. (2021). Kesulitan Pembelajaran Daring Matematika Pada Masa Pandemi COVID-19 di SMP Muslimin Cililin. Jurnal Cendekia : Jurnal Pendidikan Matematika, 5(1), 551–561. https://doi.org/10.31004/cendekia.v5i1.514

Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2013). How to Design Research in Education and Evaluate. The McGraw-Hill Companies, Inc.

Garcia, R., Falkner, K., & Vivian, R. (2018). Systematic literature review: Self-Regulated Learning strategies using e-learning tools for Computer Science. Computers and Education, 123, 150–163. https://doi.org/10.1016/j.compedu.2018.05.006

Garfield, J. (2002). The Challenge of Developing Statistical Reasoning. Journal of Statistiks Education, 10(3). https://doi.org/10.1080/10691898.2002.11910676

Garfield, Joan, & Ben-Zvi, D. (2005). a Framework for Teaching and Assessing Reasoning About Variability. Statistics Education Research Journal, 4(1), 92–99. https://doi.org/10.52041/serj.v4i1.527

Haeruman, L. D., Wijayanti, D. A., & Meidianingsih, Q. (2021). Efektivitas Blended Learning Berbasis LMS dalam Pembelajaran Matematika. Jurnal Riset Pembelajaran Matematika Sekolah, 5(1), 80–84. https://doi.org/10.21009/jrpms.051.10

HG, I. R., Wulandari, F., & Devianto, D. (2022). Analysis of Students’ Satisfaction Level on iLearn Quality during COVID-19 Pandemic with WebQual 4.0 and PLS-SEM. JTAM (Jurnal Teori Dan Aplikasi Matematika), 6(2), 397. https://doi.org/10.31764/jtam.v6i2.7440

Hulukati, E., Achmad, N., & Bau, M. A. (2021). Deskripsi Penggunaan Media E-Learning dalam Pembelajaran Matematika di Masa Pandemi Covid-19. Jambura Journal of Mathematics Education, 2(1), 21–27. https://doi.org/10.34312/jmathedu.v2i1.10061

Hutasuhut, S. H. (2022). Peranan Statistika Dalam Penelitian Pendidikan Matematika. MES: Journal of Mathematics Education and Science, 7(2), 60–69. https://doi.org/10.30743/mes.v7i2.5186

Ishtiaq, M. (2019). Book Review Creswell, J. W. (2014). Research Design: Qualitative, Quantitative and Mixed Methods Approaches (4th ed.). Thousand Oaks, CA: Sage. English Language Teaching, 12(5), 40. https://doi.org/10.5539/elt.v12n5p40

Jakešová, J., & Kalenda, J. (2015). Self-regulated Learning: Critical-realistic Conceptualization. Procedia - Social and Behavioral Sciences, 171, 178–189. https://doi.org/10.1016/j.sbspro.2015.01.105

Janner Simarmata, Mustofa Abi Hamid, Rahmi Ramadhani, Dina Chamidah, Lidia Simanihuruk, M. S. D. N., & Muhammad Iqbal, N. A. S. (2020). Pendidikan Di Era Revolusi Industri 4.0 (Tuntutan, Kompetensi dan Tantangan). Yayasan Kita Menulis.

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(June), 100292. https://doi.org/10.1016/j.edurev.2019.100292

Jin, S.-H., Im, K., Yoo, M., Roll, I., & Seo, K. (2023). Supporting students’ self-regulated learning in online learning using artificial intelligence applications. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00406-5

Kesumawati, N., Retta, A. M., & Sari, N. (2017). Pengantar statistika penelitian. Rajawali Pers.

Kizilcec, R. F., Pérez-Sanagustín, M., & Maldonado, J. J. (2017). Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses. Computers and Education, 104, 18–33. https://doi.org/10.1016/j.compedu.2016.10.001

Kusno, K., & Setyaningsih, E. (2021). Self-Regulated Learning of Mathematics for Teacher Prospectives in the Development of Student E-Worksheets. JTAM (Jurnal Teori Dan Aplikasi Matematika), 5(1), 205. https://doi.org/10.31764/jtam.v5i1.3911

Kusumarasdyati. (2019). Statistical reasoning or statistical method: Students’ preferences for learning Statistics. Journal of Physics: Conference Series, 1417(1). https://doi.org/10.1088/1742-6596/1417/1/012041

Littlejohn, A., Hood, N., Milligan, C., & Mustain, P. (2016). Learning in MOOCs: Motivations and self-regulated learning in MOOCs. Internet and Higher Education, 29, 40–48. https://doi.org/10.1016/j.iheduc.2015.12.003

McCardle, L., Webster, E. A., Haffey, A., & Hadwin, A. F. (2017). Examining students’ self-set goals for self-regulated learning: Goal properties and patterns. Studies in Higher Education, 42(11), 2153–2169. https://doi.org/10.1080/03075079.2015.1135117

Pintrich, P. R., & Zusho, A. (2002). The development of academic self-regulation: The role of cognitive and motivational factors. Development of Achievement Motivation, 1446(2), 249–284. https://doi.org/10.1016/b978-012750053-9/50003-6

Ramadhani, R., Saragih, S., Maulida, R., & Simanjuntak, S. M. B. (2022). Measuring Changes of Students’ Statistical Reasoning Taught by Ethnomathematics Approach Assisted TinkerPlots: A Stacking Analysis Study. JTAM (Jurnal Teori Dan Aplikasi Matematika), 6(3), 511. https://doi.org/10.31764/jtam.v6i3.8375

Rohana, & Ningsih, Y. L. (2020). Statistical reasoning of prospective teachers through blended learning. Journal of Physics: Conference Series, 1480(1). https://doi.org/10.1088/1742-6596/1480/1/012006

Rosidah, Ketut Budayasa, I., & Juniati, D. (2018). An Analysis of Statistical Reasoning Process of High School Students in Solving the Statistical Problem. Journal of Physics: Conference Series, 1028(1), 0–5. https://doi.org/10.1088/1742-6596/1028/1/012125

Ryann K. Ellis. (2010). A Field Guide to Learning management systems. International Anesthesiology Clinics, 48(3), 27–51. http://www.ncbi.nlm.nih.gov/pubmed/20616636

Subekti, F. E., & Akhsani, L. (2020). Pengembangan Modul Statistika Deskriptif Berbasis Pemecahan Masalah. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 9(3), 530. https://doi.org/10.24127/ajpm.v9i3.2869

Subekti, F. E., & Jazuli, A. (2022). Pengembangan Modul Aplikasi Penelitian Berbasis Penalaran Statistik. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 11(1), 1–11.

Sun, J., & Zhang, X. (2021). Exploring Chinese college students’ emotions as they engage in online learning during a pandemic. Asia Pacific Journal of Education, 1–12. https://doi.org/10.1080/02188791.2021.1965541

Supriyadi, E., & Juandi, D. (2022). Persepsi Siswa Terhadap Pembelajaran Matematika Secara Daring Dengan Menggunakan Lms Moodle Selama Pandemi Covid-19. JPMI (Jurnal Pembelajaran Matematika Inovatif), 5(2), 485. https://doi.org/10.22460/jpmi.v5i2.10016

Theffidy, S. G. A. (2020). Pendidikan Era Revolusi Industri 4.0 di Tengah Covid-19. OMBUDSMAN Republik Indonesia. https://ombudsman.go.id/artikel/r/artikel--pendidikan-era-revolusi-industri-40-di-tengah-covid-19

Wibowo, T. A., Akhlis, I., & Nugroho, S. E. (2014). Pengembangan LMS (Learning Management System) Berbasis Web untuk mengukur Pemahaman Konsep dan Karakter siswa. Scientific Journal of Informatics, 1(2), 127–137. https://doi.org/10.15294/sji.v1i2.4019

Wong, J., Khalil, M., Baars, M., de Koning, B. B., & Paas, F. (2019). Exploring sequences of learner activities in relation to self-regulated learning in a massive open online course. Computers and Education, 140(June), 103595. https://doi.org/10.1016/j.compedu.2019.103595

Xu, D., & Jaggars, S. S. (2014). Performance Gaps between Online and Face-to-Face Courses: Differences across Types of Students and Academic Subject Areas. The Journal of Higher Education, 85(5), 633–659. https://doi.org/10.1080/00221546.2014.11777343

Yusuf, Y., Suyitno, H., Sukestiyarno, Y. ., Isnarto, I., & Jaenudin, A. (2021). Implementasi E-Learning Dengan Model Pace Berbantuan Modul Berbasis Masalah Pada Kondisi Pandemic Covid-19. Proximal: Jurnal Penelitian Matematika Dan Pendidikan Matematika, 4(1), 1–13. https://doi.org/10.30605/proximal.v4i1.461

Zimmerman, B. J. (1989). A Social Cognitive View of Self-Regulated Academic Learning. Journal of Educational Psychology, 81(3), 329–339. https://doi.org/10.1037/0022-0663.81.3.329

Zimmerman, B. J. (2000). Self-Efficacy: An Essential Motive to Learn. Contemporary Educational Psychology, 25(1), 82–91. https://doi.org/10.1006/ceps.1999.1016

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

Zubaidah, S. (2020). Self Regulated Learning : Pembelajaran dan Tantangan pada Era Revolusi Industri 4 . 0 1. Publikasi Ilmiah, 5(April), 1–19.

DOI: https://doi.org/10.31764/jtam.v7i4.16830