Trends and Perspectives in Web-Based Science Learning Research: Evidence from 2015–2025

Penulis

  • Syifa Khairina Akhlida Universitas Tidar, Indonesia
  • Siswanto Siswanto Universitas Tidar, Indonesia
  • Ahmad Muhlisin Universitas Tidar, Indonesia

DOI:

https://doi.org/10.33394/jp.v13i1.18331

Kata Kunci:

Science Education, Website, Research Trends, Technological Innovation, Virtual Laboratories

Abstrak

This study aims to examine trends, challenges, and effectiveness in research on web-based science learning published between 2015 and 2025. A systematic literature review (SLR) method was employed. An initial pool of 150 articles was retrieved from international and national academic databases, including Web of Science, Scopus, and SINTA, using keywords related to web-based science education. Following relevance screening and the application of inclusion criteria, 104 articles were selected for in-depth analysis. The data were analyzed using thematic analysis with open coding to identify research trends, categorize technological innovations, and map challenges and opportunities associated with the implementation of web-based science learning. The findings reveal a substantial increase in research publications during the COVID-19 pandemic period, with Indonesia and Malaysia emerging as the primary contributors and physics being the most frequently studied subject area. Key challenges identified include limited digital infrastructure, low levels of digital literacy, underdeveloped instructional materials, and difficulties in conducting online assessments. In contrast, Learning Management Systems (LMS), virtual laboratories, and interactive digital media were found to be the most effective supporting technologies. These findings suggest that the success of web-based science learning depends on the integration of supportive policies, pedagogical innovation, appropriate technological tools, and international collaboration to develop an inclusive and adaptive digital science education ecosystem.

Referensi

Abuhassna, H., & Alnawajha, S. (2023). The Transactional Distance Theory and Distance Learning Contexts: Theory Integration, Research Gaps, and Future Agenda. Education Sciences, 13(2), 112. https://doi.org/10.3390/educsci13020112

Almulla, M. A. (2020). The Effectiveness of the Project-Based Learning (PBL) Approach as a Way to Engage Students in Learning. Sage Open, 10(3). https://doi.org/10.1177/2158244020938702

Al-Fraihat, D., Joy, M., Masa’deh, R., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102, 67–86. https://doi.org/10.1016/j.chb.2019.08.004

Aria, M., & Cuccurullo, C. (2017). bibliometrix : An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007

Bower, M. (2017). Design of Technology-Enhanced Learning. Emerald Publishing Limited. https://doi.org/10.1108/9781787141827

Chen, X., Zou, D., Cheng, G., & Xie, H. (2020). Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers & Education. Computers & Education, 151, 103855. https://doi.org/10.1016/j.compedu.2020.103855

Crompton, H., & Burke, D. (2018). The use of mobile learning in higher education: A systematic review. Computers & Education, 123, 53–64. https://doi.org/10.1016/j.compedu.2018.04.007

Davies, M., Xie, Y., & Girard, P. (2023). Valuing adolescent students’ street smarts to foster critical thinking. European Journal of Education, 58(3), 447–461. https://doi.org/10.1111/ejed.12567

Dhawan, S. (2020). Online Learning: A Panacea in the Time of COVID-19 Crisis. Journal of Educational Technology Systems, 49(1), 5–22. https://doi.org/10.1177/0047239520934018

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070

Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105(3), 1809–1831. https://doi.org/10.1007/s11192-015-1645-z

Garrison, D. R., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. The Internet and Higher Education, 7(2), 95–105. https://doi.org/10.1016/j.iheduc.2004.02.001

Graham, C. R. (2011). Theoretical considerations for understanding technological pedagogical content knowledge (TPACK). Computers & Education, 57(3), 1953–1960. https://doi.org/10.1016/j.compedu.2011.04.010

Huang, L., & Pei, X. (2024). Exploring the impact of web-based inquiry on elementary school students’ science identity development in a STEM learning unit. Humanities and Social Sciences Communications, 11(1), 885. https://doi.org/10.1057/s41599-024-03299-5

Hwang, G.-J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001

Jing, Y., Wang, C., Chen, Y., Wang, H., Yu, T., & Shadiev, R. (2024). Bibliometric mapping techniques in educational technology research: A systematic literature review. Education and Information Technologies, 29(8), 9283–9311. https://doi.org/10.1007/s10639-023-12178-6

Lameras, P., Arnab, S., Dunwell, I., Stewart, C., Clarke, S., & Petridis, P. (2017). Essential features of serious games design in higher education: Linking learning attributes to game mechanics. British Journal of Educational Technology, 48(4), 972–994. https://doi.org/10.1111/bjet.12467

Mahmud, D. R., Hidayat, A., Munzil, M., & Fadhli, M. (2023). Pengembangan Web Interaktif “Hai Si IPA” Untuk Meningkatkan Literasi Sains Di Sekolah Dasar. Cetta: Jurnal Ilmu Pendidikan, 6(4), 829–842. https://doi.org/10.37329/cetta.v6i4.2818

Makri, A., Vlachopoulos, D., & Martina, R. A. (2021). Digital Escape Rooms as Innovative Pedagogical Tools in Education: A Systematic Literature Review. Sustainability, 13(8), 4587. https://doi.org/10.3390/su13084587

Martin, F., & Bolliger, D. U. (2018). Engagement Matters: Student Perceptions on the Importance of Engagement Strategies in the Online Learning Environment. Online Learning, 22(1). https://doi.org/10.24059/olj.v22i1.1092

Means, B., Toyama, Y., Murphy, R., & Baki, M. (2013). The Effectiveness of Online and Blended Learning: A Meta-Analysis of the Empirical Literature. Teachers College Record: The Voice of Scholarship in Education, 115(3), 1–47. https://doi.org/10.1177/016146811311500307

Mekimah, S., Zighed, R., Mili, K., & Bengana, I. (2024). Business intelligence in organizational decision-making: a bibliometric analysis of research trends and gaps (2014–2024). Discover Sustainability, 5(1), 532. https://doi.org/10.1007/s43621-024-00692-7

Michos, K., Cantieni, A., Schmid, R., Müller, L., & Petko, D. (2022). Examining the relationship between internship experiences, teaching enthusiasm, and teacher self-efficacy when using a mobile portfolio app. Teaching and Teacher Education, 109, 103570. https://doi.org/10.1016/j.tate.2021.103570

Mishra, P., & Koehler, M. J. (2006). Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge. Teachers College Record: The Voice of Scholarship in Education, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x

Mohmmed, A. O., Khidhir, B. A., Nazeer, A., & Vijayan, V. J. (2020). Emergency remote teaching during Coronavirus pandemic: the current trend and future directive at Middle East College Oman. Innovative Infrastructure Solutions, 5(3), 72. https://doi.org/10.1007/s41062-020-00326-7

Ninaus, M., Greipl, S., Kiili, K., Lindstedt, A., Huber, S., Klein, E., Karnath, H.-O., & Moeller, K. (2019). Increased emotional engagement in game-based learning – A machine learning approach on facial emotion detection data. Computers & Education, 142, 103641. https://doi.org/10.1016/j.compedu.2019.103641

Pellas, N., Fotaris, P., Kazanidis, I., & Wells, D. (2019). Augmenting the learning experience in primary and secondary school education: a systematic review of recent trends in augmented reality game-based learning. Virtual Reality, 23(4), 329–346. https://doi.org/10.1007/s10055-018-0347-2

Pérez-Sanagustín, M., Nussbaum, M., Hilliger, I., Alario-Hoyos, C., Heller, R. S., Twining, P., & Tsai, C.-C. (2017). Research on ICT in K-12 schools – A review of experimental and survey-based studies in computers & education 2011 to 2015. Computers & Education, 104, A1–A15. https://doi.org/10.1016/j.compedu.2016.09.006

Petersen, G. B., Petkakis, G., & Makransky, G. (2022). A study of how immersion and interactivity drive VR learning. Computers & Education, 179, 104429. https://doi.org/10.1016/j.compedu.2021.104429

Ramli, M., Novalya, A. D., Indriyanti, N. Y., Wichaidit, S., & Wichaidit, P. R. (2024). The Validity and Practical Test of STEM@Home Learning Design to Empower Student’s Science Literacy. Jurnal Inovasi Pendidikan IPA, 10(1), 86–97. https://doi.org/10.21831/jipi.v10i1.70941

Ristiana, E. (2023). Peningkatan Minat Belajar Siswa Sekolah Dasar Menggunakan Google site dalam Pembelajaran IPA. JUDIKDAS: Jurnal Ilmu Pendidikan Dasar Indonesia, 2(4), 209–216. https://doi.org/10.51574/judikdas.v2i4.1014

Romi Siswanto. (2022, September 22). Transformasi Digital Dalam Pemulihan Pendidikan Pasca Pandemi. https://gurudikdas.dikdasmen.go.id/news/transformasi-digital-dalam-pemulihan-pendidikan-pasca-pandemi

Rutten, N., van Joolingen, W. R., & van der Veen, J. T. (2012). The learning effects of computer simulations in science education. Computers & Education, 58(1), 136–153. https://doi.org/10.1016/j.compedu.2011.07.017

Sahin, D., & Yilmaz, R. M. (2020). The effect of Augmented Reality Technology on middle school students’ achievements and attitudes towards science education. Computers & Education, 144, 103710. https://doi.org/10.1016/j.compedu.2019.103710

Tondeur, J., van Braak, J., Ertmer, P. A., & Ottenbreit-Leftwich, A. (2017). Understanding the relationship between teachers’ pedagogical beliefs and technology use in education: a systematic review of qualitative evidence. Educational Technology Research and Development, 65(3), 555–575. https://doi.org/10.1007/s11423-016-9481-2

Urdanivia Alarcon, D. A., Talavera-Mendoza, F., Rucano Paucar, F. H., Cayani Caceres, K. S., & Machaca Viza, R. (2023). Science and inquiry-based teaching and learning: a systematic review. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1170487

Wu, H.-K., Lee, S. W.-Y., Chang, H.-Y., & Liang, J.-C. (2013). Current status, opportunities and challenges of augmented reality in education. Computers & Education, 62, 41–49. https://doi.org/10.1016/j.compedu.2012.10.024

Zhao, Y., Pinto Llorente, A. M., & Sánchez Gómez, M. C. (2021). Digital competence in higher education research: A systematic literature review. Computers & Education, 168, 104212. https://doi.org/10.1016/j.compedu.2021.104212

Zheng, Y., & Yano, Y. (2007). A framework of context‐awareness support for peer recommendation in the e‐learning context. British Journal of Educational Technology, 38(2), 197–210. https://doi.org/10.1111/j.1467-8535.2006.00584.x

Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629

Diterbitkan

2026-01-07

Cara Mengutip

Akhlida, S. K., Siswanto, S., & Muhlisin, A. (2026). Trends and Perspectives in Web-Based Science Learning Research: Evidence from 2015–2025. Jurnal Paedagogy, 13(1). https://doi.org/10.33394/jp.v13i1.18331

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