PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF DALAM PENDIDIKAN SAINS: ANALISIS BIBLIOMETRIK ALAT DIGITAL (2000-2024)

Mulyono Mulyono
Slamet Sty
Chumdari Chumdari


DOI: https://doi.org/10.29100/jp2m.v11i1.7092

Abstract


This study aims to analyze the development and trends of global research in the development of interactive learning media for the period 2000-2024. Methods This study uses Bibliometric analysis conducted on 461 articles from the Scopus database using VOSviewer software for visualization and analysis of bibliometric patterns. The results show a significant evolution from the dominance of Computers and Education journals towards the diversification of publication outlets, with Indonesia leading the productivity (105 documents) followed by the United States (95 documents) and China (55 documents). Collaboration analysis reveals the dominant role of Indonesian institutions with the State University of Jakarta (13 publications) as the most productive institution. Keyword mapping identifies areas that are still underexplored in the development of interactive learning media, despite the rapid development of technologies such as virtual reality and artificial intelligence. Despite the shift in digital learning innovation centers from the West to the East, there is still a significant gap in the integration of emergent technology into effective interactive learning media, opening up great opportunities for future research in developing comprehensive digital learning frameworks.


Keywords


Media pembelajaran interaktif; analisis bibliometric; teknologi pendidikan

Full Text:

PDF

Article Metrics :

References


Al-Badi, A., Tarhini, A., & Al-Kaaf, W. (2017). Financial incentives for adopting cloud computing in higher educational institutions. Asian Social Science, 13(4), 162–174. https://doi.org/10.5539/ass.v13n4p162

Bafandeh Mayvan, B., Rasoolzadegan, A., & Ghavidel Yazdi, Z. (2017). The state of the art on design patterns: A systematic mapping of the literature. Journal of Systems and Software, 125, 93–118. https://doi.org/10.1016/j.jss.2016.11.030

Calude, C. S., & Longo, G. (2017). The deluge of spurious correlations in big data. Foundations of Science, 22(3), 595–612. https://doi.org/10.1007/s10699-016-9489-4

Chen, C. (2024). Entertainment social media based on deep learning and interactive experience application in English e-learning teaching system. Entertainment Computing, 52, 100846. https://doi.org/10.1016/j.entcom.2024.100846

Deng, L., & Yu, D. (2014). Deep learning: Methods and applications. Foundations and Trends in Signal Processing, 7(3–4), 197–387. https://doi.org/10.1561/2000000039

Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98–115. https://doi.org/10.1016/j.is.2014.07.006

Huang, Y., Lin, M., & Liu, X. (2024). Digital media and interactive E-learning application in art teaching process based on big data platform. Entertainment Computing, 51, 100737. https://doi.org/10.1016/j.entcom.2024.100737

Jin, X., Wah, B. W., Cheng, X., & Wang, Y. (2015). Significance and challenges of big data research. Big Data Research, 2(2), 59–64. https://doi.org/10.1016/j.bdr.2015.02.006

Lv, Z., Song, H., Basanta-Val, P., Steed, A., & Jo, M. (2017). Next-generation big data analytics: State of the art, challenges, and future research topics. IEEE Transactions on Industrial Informatics, 13(4), 1891–1899. https://doi.org/10.1109/TII.2017.2650204

Marmoah, S., Gestiardi, R., Sarwanto, S., Chumdari, C., & Maryani, I. (2022). A bibliometric analysis of collaboration skills in education (2019-2021). Journal of Education and Learning (EduLearn), 16(4), 542–551. https://doi.org/10.11591/edulearn.v16i4.20337

Saksamudre, S. K., Shrishrimal, P. P., & Deshmukh, R. R. (2015). A review on different approaches for speech recognition system. International Journal of Computer Applications, 115(22), 23–28. https://doi.org/10.5120/20284-2839

Verawati, N. N. S. P., & Purwoko, A. A. (2024). Literature Review on the Use of Interactive Labs Technology in The Context of Science Education. International Journal of Ethnoscience and Technology in Education, 1(1), 76. https://doi.org/10.33394/ijete.v1i1.12154

Wardani, H. (2022). Technology Pedagogy Content Knowledge (Tpack)(Analisis Konsep & Model Pembelajaran). BASA Journal of Language & Literature, Query date: 2024-08-23 09:35:18. https://riset.unisma.ac.id/index.php/BASA/article/view/15529

Warner, K. S., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326–349. https://doi.org/10.1016/j.lrp.2018.12.001

Wei, W., Fan, X., Song, H., Fan, X., & Yang, J. (2018). Imperfect information dynamic stackelberg game based resource allocation using hidden markov for cloud computing. IEEE Transactions on Services Computing, 11(1), 78–89. https://doi.org/10.1109/TSC.2016.2528246

Xia, L., & Liu, S. (2021). An Introduction to Multimedia Technology and Enhanced Learning. Mobile Networks and Applications, 26(1), 347–350. https://doi.org/10.1007/s11036-020-01682-5