Blended Learning in the Digital Era: An Analysis of Self-Regulated Learning Assisted with Edmodo-GeoGebra
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Abstract
This study aims to describe students' self-regulated learning in mathematics learning supported by Edmodo-GeoGebra on the topic of the volume of rotating objects. The research employs a qualitative approach with a descriptive method. The participants in this study were 36 students from Universitas Bina Bangsa. The data collection technique involved distributing a self-regulated learning questionnaire consisting of 30 statements with 8 indicators. Data analysis was conducted by calculating the percentage of students' responses, which were then described using percentage interpretation criteria. The analysis results for each indicator of self-regulated learning are as follows: 1) learning initiative 76%; 2) diagnosing learning needs 78%; 3) setting learning goals 76%; 4) viewing difficulties as challenges 75%; 5) utilizing and seeking relevant resources 74%; 6) selecting and applying learning strategies 77%; 7) evaluating the learning process and outcomes 76%; 8) self-concept 74%. The overall average of students' self-regulated learning supported by Edmodo-GeoGebra was 75.57%, categorized as high. This study recommends that educational institutions support and optimize the improvement of students' self-regulated learning.
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References
Afrizal, A., Fauzan, A., & Rifandi, R. (2023, February). The influence of learning motivation and independence on students' mathematics learning outcomes in SMA UNP laboratory development. In AIP Conference Proceedings (Vol. 2698, No. 1). AIP Publishing. https://doi.org/10.1063/5.0122432
Alqahtani, A. S. (2019). The use of Edmodo: Its impact on learning and students’ attitudes toward it. Journal of Information Technology Education. Research, 18, 319. https://doi.org/10.28945/4389
Bedenlier, S., Bond, M., Buntins, K., Zawacki-Richter, O., & Kerres, M. (2020). Facilitating student engagement through educational technology in higher education: A systematic review in the field of arts and humanities. Australasian Journal of Educational Technology, 36(4), 126-150. https://doi.org/10.14742/ajet.5477.
Castro-Rodríguez, M. M., Marín-Suelves, D., López-Gómez, S., & Rodríguez-Rodríguez, J. (2021). Mapping of scientific production on blended learning in higher education. Education Sciences, 11(9), 494. https://doi.org/10.3390/educsci11090494.
Duarte, M. (2020, April). Towards the development of learner autonomy of Portuguese mechanical engineering students. In 2020 IEEE Global Engineering Education Conference (EDUCON) (pp. 1381-1386). IEEE. https://doi.org/10.1109/EDUCON45650.2020.9125313
Echeverria, L., & Cobos, R. (2013, July). Improving blended learning experiences with a Motivation Booster. In 2013 IEEE 13th International Conference on Advanced Learning Technologies (pp. 259-260). IEEE. https://doi.org/10.1109/ICALT.2013.80
Hendriana, H., Rohaeti, E. E., & Sumarmo, U. (2014). Hard Skill dan Soft Skill Mathematika. Bandung: Penerbit PT Refika Aditama. Bandung.
Fadillah, A., Nopitasari, D., Bilda, W., Immawati, S. A., & Raharjo, S. (2022). Analysis of Student Learning Independence on Blended Learning Model. Kreano, Jurnal Matematika Kreatif-Inovatif, 13(2), 308-318. https://journal.unnes.ac.id/nju/kreano/article/view/38512
Kahraman, A., & Ozdamli, F. (2017). Opinions of secondary school students regarding the use of Edmodo as a social network in ICT course. PONTE International Journal of Science and Research, 73(8). http://dx.doi.org/10.21506/j.ponte.2017.8.42
Koh, M. S., & Lee, H. S. Z. (2017). Blended learning in nursing education: Learning motivation, student engagement, and the interaction between learner and instructor. International Information Institute (Tokyo). Information, 20(3B), 2083-2090. https://www.proquest.com/openview/6726ce625bf8d6c53dceddcc4f75cd51/1?pq-origsite=gscholar&cbl=936334
Li, W. (2022). Resilience among language learners: the roles of support, self-efficacy, and buoyancy. Frontiers in Psychology, 13, 854522. https://doi.org/10.3389/fpsyg.2022.854522.
Liu, Q., Chen, L., Feng, X., Bai, X., & Ma, Z. (2024). Supporting students and instructors in blended learning. Handbook of Educational Reform Through Blended Learning, 199. https://doi.org/10.1007/978-981-99-6269-3_5
Nasrullah, A., & Mubarika, M. P. (2023). Distance Learning: GeoGebra-Learning videos to improving mathematical communication ability. International Journal of Emerging Technologies in Learning, 18(16). https://doi.org/10.3991/ijet.v18i16.42173
Nasrullah, A., Marlina, M., & Dwiyanti, W. (2018). Development of Student Worksheet-Based College E-Learning Through Edmodo to Maximize the Results of Learning and Motivation in Economic Mathematics Learning. International Journal of Emerging Technologies in Learning, 13(12). https://doi.org/10.3991/ijet.v13i12.8636
Rahmawati, N. K., Waluya, S. B., & Hidayah, I. (2023). Profile of mathematical literacy of prospective teacher students in solving integral calculus problems seen from learning independence. Journal of Higher Education Theory & Practice, 23(18). https://doi.org/10.33423/jhetp.v23i18.6625
Ramadhan, M. F., Mundilarto, M., Ariswan, A., Irwanto, I., Bahtiar, B., & Gummah, S. U. (2023). The Effect of Interface Instrumentation Experiments-Supported Blended Learning on Students' Critical Thinking Skills and Academic Achievement. International Journal of Interactive Mobile Technologies, 17(14). https://doi.org/10.12973/eu-jer.12.4.1815.
Ryane, I. (2020). A case study of using Edmodo to enhance computer science learning for engineering students. International Journal of Emerging Technologies in Learning (IJET), 15(3), 62-73. https://doi.org/10.3991/ijet.v15i03.11252
Ryane, I., & El Faddouli, N. E. (2018, October). First step in implementing pedagogy of integration using Edmodo. In Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications (pp. 1-5). https://doi.org/10.1145/3289402.3289541
Saqr, M., Matcha, W., Jovanovic, J., Gašević, D., & López-Pernas, S. (2023). Transferring effective learning strategies across learning contexts matters: A study in problem-based learning. Australasian Journal of Educational Technology, 39(3), 35-57. https://doi.org/10.14742/ajet.8303.
Schreiberová, P., & Morávková, Z. (2023). The use of GeoGebra in technical mathematics. MM Science Journal. https://doi.org/10.17973/MMSJ.2023_03_2022112
Sergejeva, N., & Zeidmane, A. (2023). Factors influencing student initiative in effective mathematics studies at universities. Research for Rural Development, 38. https://doi.org/10.22616/RRD.29.2023.041
Shi, L., & Fan, C. (2023). A New Learning Resource Recommendation Method for Improving the Efficiency of Students’ Online Independent Learning. International Journal of Emerging Technologies in Learning, 18(5). https://doi.org/10.3991/ijet.v18i05.38503.
Silverajah, V. G., & Govindaraj, A. (2017, December). The use of digitized self-learning resources to enhance students' independent learning. In Proceedings of the 9th International Conference on Education Technology and Computers (pp. 131-135). https://doi.org/10.1145/3175536.3175544
Tasman, F., & Widjaja, W. (2023). Enhancing Junior High School Students' Reasoning of Linear Equations Using GeoGebra Software. International Journal of Interactive Mobile Technologies, 17(18). https://doi.org/10.3991/ijim.v17i18.41441
Trentepohl, S., Waldeyer, J., Fleischer, J., Roelle, J., Leutner, D., & Wirth, J. (2022). How did it get so late so soon? The effects of time management knowledge and practice on students’ time management skills and academic performance. Sustainability, 14(9), 5097. https://doi.org/10.3390/su14095097.
Van Niekerk, J., & Webb, P. (2016). The effectiveness of brain-compatible blended learning material in the teaching of programming logic. Computers & Education, 103, 16-27. https://doi.org/10.1016/j.compedu.2016.09.008
Zhang, Y., Wang, P., Jia, W., Zhang, A., & Chen, G. (2023). Dynamic visualization by GeoGebra for mathematics learning: a meta-analysis of 20 years of research. Journal of Research on Technology in Education, 1-22. https://doi.org/10.1080/15391523.2023.2250886
Zhu, M., Bonk, C. J., & Berri, S. (2022). Fostering self-directed learning in MOOCs: Motivation, learning strategies, and instruction. Online Learning, 26(1), 153-173. https://doi.org/10.24059/olj.v26i1.2629.