Enhancing Conceptual Understanding through Networked Collaborative Learning : A Study on Preservice Teacher
DOI:
https://doi.org/10.51278/aj.v7i3.1778Keywords:
Collaborative Learning, Concept Understanding, Online LearningAbstract
The development of learning social network applications or features makes it possible to develop collaborative activities, making it easier for individuals in groups to communicate. NCL combines technology where social media and web technology are used to support relationships between learners, learning resources and learning communities. The purpose of this study was to determine the effect of NCL on concept understanding. The method used was descriptive quantitative approach with quasi experimental design. The sampling technique used purposive sampling with a total sample of 158 PGSD students at Tadulako University. Data collection techniques through tests in the form of pre-test and post-test statements of learning outcomes of concept understanding. The results of hypothesis testing showed that there was no significant difference in learning outcomes of concept understanding between the group taught with the networked collaborative learning strategy and the group that learned with discussion. The results of this study found that NCL applied did not affect the concept understanding of learners. Thus, NCL has not been proven to be more effective than conventional in the context of concept learning in this study
References
Aminoto, T., & Dani, R. (2018). Pengembangan Model Diskusi Berbasis Whatsapp Untuk Meningkatkan Pemahaman Konsep Pada Mata Kuliah Fisika Statistik. EduFisika, 3(01), 24–30. https://doi.org/10.22437/edufisika.v3i01.5804
Bangert, A. (2008). The Influence of Social Presence and Teaching Presence on the Quality of Online Critical Inquiry. Journal of Computong in Higher Education, 20(1), 34–61. https://doi.org/10.1007/BF03033431
Chang, C. Y., Yeh, T. K., & Barufaldi, J. P. (2010). The positive and negative effects of science concept tests on student conceptual understanding. International Journal of Science Education, 32(2), 265–282. https://doi.org/10.1080/09500690802650055
Collerson, K. D., Nekvasil, H., Simon, A., Lindsley, D. H., SPATH, A., HELLEBRAND, E., Regelous, M., TRUMBULL, R. B., Jung, C., Jung, S., Hoffer, E., Berndt, J., Schuth, S., Münker, C., König, S., Qopoto, C., Basi, S., Garbe-Schönberg, D., Ballhaus, C., … Waldenström, L. (2015). Handbook of Research on Educational Communication and Technology. In Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis (Vol. 53, Issue 9). http://publications.lib.chalmers.se/records/fulltext/245180/245180.pdf%0Ahttps://hdl.handle.net/20.500.12380/245180%0Ahttp://dx.doi.org/10.1016/j.jsames.2011.03.003%0Ahttps://doi.org/10.1016/j.gr.2017.08.001%0Ahttp://dx.doi.org/10.1016/j.precamres.2014.12
Darabi, A., & Jin, L. (2013). Improving the quality of online discussion : the effects of strategies designed based on cognitive load theory principles. 34(1), 21–36.
Foon, K. H., Wing, S. C., & Connie Siew Ling Ng. (2010). Student contribution in asynchronous online discussion : a review of the research and empirical exploration. Instructional Science, 38(6), 571–606. https://doi.org/10.1007/s11251-008-9087-0
Freedman, H., Young, N., Schaefer, D., & Song, Q. (2024). Construction and Analysis of Collaborative Educational Networks based on Learner Concept Maps. 8(April), 1–22. https://doi.org/10.1145/3637313
Garrison, D. R., & Anderson, T. (2001). American Journal of Critical thinking , cognitive presence , and computer conferencing in distance education. January. https://doi.org/10.1080/08923640109527071
Gatley, J. (2023). Why Concepts Matter, What Conceptual Analysis Is for, and the Case of Knowledge in Education. British Journal of Educational Studies, 71(5), 549–565. https://doi.org/10.1080/00071005.2023.2234453
Goodyear, P., Banks, S., Hodgson, V., & McConnell, D. (2004). Research on networked learning: An overview. In Advances in Research on Networked Learning. https://doi.org/10.1007/1-4020-7909-5_1
Goodyear, P., Jones, C., Asensio, M., Hodgson, V., & Steeples, C. (2005). Networked learning in higher education: Students’ expectations and experiences. Higher Education, 50(3), 473–508. https://doi.org/10.1007/s10734-004-6364-y
Issa, G. F., El-Ghalayini, H. A., Shubita, A. F., & Abu-Arqoub, M. H. (2014). A framework for collaborative networked learning in higher education: Design & analysis. International Journal of Emerging Technologies in Learning, 9(8), 32–37. https://doi.org/10.3991/ijet.v9i8.3903
Jennifer, E., S. (2023). Core concepts intervention was more effective for improving student “big picture” understanding when accompanied by embedded core concept instruction. Physiology, 38(s1). https://doi.org/DOI: 10.1152/physiol.2023.38.S1.5796123
Jere, S., & Mpeta, M. (2024). Effects of Computer Simulations, Attitudes Towards Chemistry and Prior Knowledge on Students’ Academic Achievement in Chemistry. International Journal of Learning, Teaching and Educational Research, 23(7), 37–63. https://doi.org/10.26803/ijlter.23.7.3
Junus, F. B., & Andula, N. (2020). Pengaruh Implementasi Moodle dan Model Pembelajaran Kolaboratif pada Lingkungan Blended Learning terhadap Peningkatan Pemahaman Belajar Mahasiswa. Jurnal Teknologi Informasi Dan Ilmu Komputer (JTIIK), Vol. 7, No(August), 797–806. https://doi.org/10.25126/jtiik.202073289
Kholis, A. (2022). The Implementation of Blended Synchronous and Asynchronous Online Language Learning during the Covid-19 Pandemic. Lingua Didaktika: Jurnal Bahasa Dan Pembelajaran Bahasa, 16(1), 83. https://doi.org/10.24036/ld.v16i1.114328
Liu, Z., Gao, Y., Yuqin, Y., Xi, K., & Zhao, L. (2024). Sample_Dissertation_Online Technologies Self-Efficacy Self-directed learning readiness and locus of control of learners in a graduate level webages distance education program.pdf. Acta Psychologica, 248.
Persada, S. F., Prasetyo, Y. T., Suryananda, X. V., Apriyansyah, B., Ong, A. K. S., Nadlifatin, R., Setiyati, E. A., Putra, R. A. K., Purnomo, A., Triangga, B., Siregar, N. J., Carolina, D., Maulana, F. I., & Ardiansyahmiraja, B. (2022). How the Education Industries React to Synchronous and Asynchronous Learning in COVID-19: Multigroup Analysis Insights for Future Online Education. Sustainability (Switzerland), 14(22), 1–21. https://doi.org/10.3390/su142215288
Pozzi, F., Manca, S., Persico, D., & Sarti, L. (2007). A general framework for tracking and analysing learning processes in computer-supported collaborative learning environments. Innovations in Education and Teaching International, 44(2), 169–179. https://doi.org/10.1080/14703290701240929
Rimor, R., Rosen, Y., & Nassar, K. (2010). Complexity of Social Interactions in Collaborative Learning: The Case of Online Database Environment. Interdisciplinary Journal of E-Skills and Lifelong Learning, 6(June 2014), 355–365. https://doi.org/10.28945/1321
Rorimpandeya, W. H. F., Degengb, I. N. S., Setyosary, P., & Ulfa, S. (2019). The influence of hybrid learning models on the conceptual science education of elementary school teachers. International Journal of Innovation, Creativity and Change, 8(2), 169–180.
Sawyer, R. K. (2014). The New Science of Learning. 1–18. https://doi.org/10.1017/CBO9781139519526.002
Saxena, R., & Carnewale, K. (2023). EXPLORING THE SYNERGY OF SYNCHRONOUS AND ASYNCHRONOUS. 8, 6–11.
Setyosari, P. (2013). Metode Penelitian Pendidikan dan Pengembangan (keempat). Prenadamedia group.
Shukor, N. A., Tasir, Z., Van der Meijden, H., & Harun, J. (2014). Exploring students’ knowledge construction strategies in computer-supported collaborative learning discussions using sequential analysis. Educational Technology and Society, 17(4), 216–228.
Sobko, S., Unadkat, D., Adams, J., & Hull, G. (2020). Learning through collaboration: A networked approach to online pedagogy. E-Learning and Digital Media, 17(1), 36–55. https://doi.org/10.1177/2042753019882562
Stokes, J. (2024). Collaborative Critical Thinking Problem Sets Enhance Student Perceived Learning and Promote Student Practice Outside of the Classroom. Physiology. https://doi.org/21 May 2024https://doi.org/10.1152/physiol.2024.39.S1.801
Trentin, G. (2010). Networked Collaborative Learning. Networked Collaborative Learning. https://doi.org/10.1533/9781780631646
Ulfa, S., & Fatawi, I. (2020). Predicting Factors That Influence Students’ Learning Outcomes Using Learning Analytics in Online Learning Environment. International Journal of Emerging Technologies in Learning, 16(1), 4–17. https://doi.org/10.3991/IJET.V16I01.16325
W.W.MA, A. (2009). Computer Supported Collaborative Learning and Higher Order Thinking Skills: A Case Study of Textile Studies. Interdisciplinary Journal of E-Skills and Lifelong Learning, 5, 145–167. https://doi.org/10.28945/69
Xu, W., Jiang, Y., Yang, L., & Bao, L. (2023). Conceptual framework based instruction for promoting knowledge integration in learning momentum. Physical Review Physics Education Research, 19(2), 20124. https://doi.org/10.1103/PhysRevPhysEducRes.19.020124
Zheng, L., Long, M., Niu, J., & Zhong, L. (2023). An automated group learning engagement analysis and feedback approach to promoting collaborative knowledge building , group performance , and socially shared regulation. 19, 101–133.
Zhou, X. (2011). The research on network collaborative learning based on the Blog and Blog group. 2011 International Conference on Electrical and Control Engineering, ICECE 2011 - Proceedings, 4181–4183. https://doi.org/10.1109/ICECENG.2011.6057531
Zhu, C. (2012). student Statisfaction, Performance, and Knowledge Construction in Online Collaborative Learning. Educational Technology & Society, 15(1), 127–136.
Zou, Y., Xue, X., Jin, L., Huang, X., & Li, Y. (2024). Assessment of conceptual understanding in student learning of evaporation. Physical Review Physics Education Research, 20(2), 20107. https://doi.org/10.1103/PhysRevPhysEducRes.20.020107
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