Digital Teaching and Learning Scaffolding in Education: A Systematic Review Using Bibliometric Analysis
Abstract
This study aims to systematically analyze the evolution, research trends, and scientific impact of digital teaching and learning scaffolding through the application of bibliometric analysis. By employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 methodology, a total of 396 relevant journal articles published between 2013 and 2023 were identified from Google Scholar using Publish or Perish (PoP). The dataset was then analyzed using VOSviewer, with a specific focus on citation patterns, keyword co-occurrence, co-authorship networks, and thematic clusters. The bibliometric mapping revealed five dominant research clusters: (1) integration of digital technology in higher education, (2) learning strategies and their impact on students’ outcomes, (3) digital games and scaffolding approaches in children’s education, (4) teacher education development and practice, and (5) contextual influences in educational research. In addition, the study identifies prominent authors, highly influential publications, and major institutional as well as international collaborations, offering a comprehensive overview of the intellectual structure of the field. The findings highlight an increasing global interest in digital scaffolding in education, demonstrating its significant contributions to improving student engagement, cognitive development, problem-solving, and personalized learning experiences. Nevertheless, several challenges remain evident, particularly in terms of accessibility across diverse contexts, teacher readiness to adopt innovative pedagogies, and technological limitations within resource-constrained environments. This research contributes to the academic discourse by providing evidence-based insights and practical recommendations to optimize the implementation of digital scaffolding in contemporary educational settings. Moreover, it emphasizes the importance of continuous exploration of emerging technologies such as artificial intelligence (AI), virtual reality (VR), and adaptive learning systems to further strengthen the effectiveness and sustainability of digital scaffolding practices in the future.
Keywords
References
L. Chen, W. Zhen, dan D. Peng, “Research on digital tool in cognitive assessment: a bibliometric analysis,” Front. Psychiatry, vol. 14, no. August, hal. 1–16, 2023, doi: https://doi.org/10.3389/fpsyt.2023.1227261.
P. Sharma dan M. Hannafin, “Scaffolding in technology-enhanced learning environments,” Interact. Learn. Environ., vol. 15, no. 1, hal. 27–46, 2007, doi: https://doi.org/10.1080/10494820600996972.
M. A. Al Mamun, “Fostering self-regulation and engaged exploration during the learner-content interaction process: the role of scaffolding in the online inquiry-based learning environment,” Interact. Technol. Smart Educ., vol. 19, no. 4, hal. 482–509, 2022, doi: https://doi.org/10.1108/ITSE-11-2021-0195.
B. R. Belland, A. E. Walker, N. J. Kim, dan M. Lefler, “Synthesizing Results From Empirical Research on Computer-Based Scaffolding in STEM Education: A Meta-Analysis,” Rev. Educ. Res., vol. 87, no. 2, hal. 309–344, 2017, doi: https://doi.org/10.3102/0034654316670999.
P. A. S. Solihah, I. Kaniawati, A. Samsudin, dan R. Riandi, “Need Analysis of STEM-ESD Based Development on Teaching Materials and Instrument Test,” J. Penelit. Pendidik. IPA, vol. 10, no. 3, hal. 1124–1133, 2024, doi: https://doi.org/10.29303/jppipa.v10i3.6516.
N. Donthu, S. Kumar, D. Mukherjee, N. Pandey, dan W. M. Lim, “How to conduct a bibliometric analysis: An overview and guidelines,” J. Bus. Res., vol. 133, no. March, hal. 285–296, 2021, doi: https://doi.org/10.1016/j.jbusres.2021.04.070.
Y. S. Ho, Y. Cavacece, A. Moretta Tartaglione, dan A. Douglas, “Publication performance and trends in Total Quality Management research: a bibliometric analysis,” Total Qual. Manag. Bus. Excell., 2022, doi: https://doi.org/10.1080/14783363.2022.2031962.
M. N. Hudha, I. Hamidah, A. Permanasari, A. G. Abdullah, I. Rachman, dan T. Matsumoto, “Low carbon education: A review and bibliometric analysis,” 2020, Eurasian Society of Educational Research. doi: https://doi.org/10.12973/eu-jer.9.1.319.
M. J. Page et al., “The PRISMA 2020 statement: An updated guideline for reporting systematic reviews,” 2021, BMJ Publishing Group. doi: https://doi.org/10.1136/bmj.n71.
A. Baneyx, “‘Publish or Perish’ as citation metrics used to analyze scientific output in the humanities: International case studies in economics, geography, social sciences, philosophy, and history,” Arch. Immunol. Ther. Exp. (Warsz)., vol. 56, no. 6, hal. 363–371, 2008, doi: https://doi.org/10.1007/s00005-008-0043-0.
Taswadi, G. J. Kurnia, dan Z. Pawitan, “Analysis of Computational Bibliometric Mapping in Multimedia for Art Learning Media Publications using VOSviewer,” J. Adv. Res. Appl. Sci. Eng. Technol., vol. 52, no. 1, hal. 163–179, 2025, doi: https://doi.org/10.37934/araset.52.1.163179.
J. A. Moral-muñoz et al., “Software tools for conducting bibliometric analysis in science: An up-to-date review,” El Prof. la informa- ción, vol. 29, no. 1, hal. 1–20, 2020, doi: https://doi.org/10.3145/epi.2020.ene.03.
S. Kraus, M. Breier, dan S. Dasí-Rodríguez, “The art of crafting a systematic literature review in entrepreneurship research,” Int. Entrep. Manag. J., vol. 16, no. 3, hal. 1023–1042, 2020, doi: https://doi.org/10.1007/s11365-020-00635-4.
J. Paul dan A. R. Criado, “The art of writing literature review: What do we know and what do we need to know?,” Int. Bus. Rev., vol. 29, no. 4, hal. 101717, 2020, doi: https://doi.org/10.1016/j.ibusrev.2020.101717.
I. Muhammad, F. Marchy, H. K. Rusyid, dan D. Dasari, “Analisis Bibliometrik: Penelitian Augmented Reality Dalam Pendidikan Matematika,” JIPM (Jurnal Ilm. Pendidik. Mat., vol. 11, no. 1, hal. 141, 2022, doi: https://doi.org/10.25273/jipm.v11i1.13818.
E. Orduña-Malea dan R. Costas, “Link-based approach to study scientific software usage: the case of VOSviewer,” Scientometrics, vol. 126, no. 9, hal. 8153–8186, 2021, doi: https://doi.org/10.1007/s11192-021-04082-y.
D. O. Oyewola dan E. G. Dada, “Exploring machine learning: a scientometrics approach using bibliometrix and VOSviewer,” SN Appl. Sci., vol. 4, no. 5, 2022, doi: https://doi.org/10.1007/s42452-022-05027-7.
B. K. Sovacool, C. Daniels, dan A. AbdulRafiu, “Science for whom? Examining the data quality, themes, and trends in 30 years of public funding for global climate change and energy research,” Energy Res. Soc. Sci., vol. 89, 2022, doi: https://doi.org/10.1016/j.erss.2022.102645.
N. J. van Eck dan L. Waltman, “Citation-based clustering of publications using CitNetExplorer and VOSviewer,” Scientometrics, vol. 111, no. 2, hal. 1053–1070, 2017, doi: https://doi.org/10.1007/s11192-017-2300-7.
S. H. H. Shah, S. Lei, M. Ali, D. Doronin, dan S. T. Hussain, “Prosumption: bibliometric analysis using HistCite and VOSviewer,” Kybernetes, vol. 49, no. 3, hal. 1020–1045, 2020, doi: https://doi.org/10.1108/K-12-2018-0696.
N. J. van Eck dan L. Waltman, “Software survey: VOSviewer, a computer program for bibliometric mapping,” Scientometrics, vol. 84, no. 2, hal. 523–538, 2010, doi: https://doi.org/10.1007/s11192-009-0146-3.
C. Huang, C. Yang, S. Wang, W. Wu, J. Su, dan C. Liang, “Evolution of topics in education research: a systematic review using bibliometric analysis,” Educ. Rev., vol. 72, no. 3, hal. 281–297, 2020, doi: https://doi.org/10.1080/00131911.2019.1566212.
J. G. S. Goldie, “Connectivism: A knowledge learning theory for the digital age?,” Med. Teach., 2016, doi: https://doi.org/10.3109/0142159X.2016.1173661.
H. Hidayat et al., “Computational Thinking Skills in Engineering Education: Enhancing Academic Achievement Through Innovations, Challenges, and Opportunities,” Tem J., hal. 3454–3467, 2024, doi: https://doi.org/10.18421/tem134-78.
X. Weng, H. Ye, Y. Dai, dan O. Ng, “Integrating Artificial Intelligence and Computational Thinking in Educational Contexts: A Systematic Review of Instructional Design and Student Learning Outcomes,” J. Educ. Comput. Res., vol. 62, no. 6, hal. 1420–1450, 2024, doi: https://doi.org/10.1177/07356331241248686.
J. Liu, X. Guo, S. Xu, dan Y. Zhang, “Quantifying the impact of strong ties in international scientific research collaboration,” PLoS One, vol. 18, no. 1 January, hal. 1–26, 2023, doi: https://doi.org/10.1371/journal.pone.0280521.
L. Fan, Y. Wang, S. Ding, dan B. Qi, “Productivity trends and citation impact of different institutional collaboration patterns at the research units’ level,” Scientometrics, vol. 125, no. 2, hal. 1179–1196, 2020, doi: https://doi.org/10.1007/s11192-020-03609-z.
S. E. Campbell dan D. Simberloff, “Forty years of invasion research: more papers, more collaboration…bigger impact?,” NeoBiota, vol. 75, hal. 57–77, 2022, doi: https://doi.org/10.3897/NEOBIOTA.75.86949.
L. Darling-Hammond, L. Flook, C. Cook-Harvey, B. Barron, dan D. Osher, “Implications for educational practice of the science of learning and development,” Appl. Dev. Sci., vol. 24, no. 2, hal. 97–140, 2020, doi: https://doi.org/10.1080/10888691.2018.1537791.
R. Shadiev dan X. Wang, “A Review of Research on Technology-Supported Language Learning and 21st Century Skills,” Front. Psychol., vol. 13, no. July, hal. 1–19, 2022, doi: https://doi.org/10.3389/fpsyg.2022.897689.
S. S. Senadheera, R. Gregory, J. Rinklebe, M. Farrukh, J. H. Rhee, dan Y. S. Ok, “The development of research on environmental, social, and governance (ESG): A bibliometric analysis,” Sustain. Environ., vol. 8, no. 1, 2022, doi: https://doi.org/10.1080/27658511.2022.2125869.
R. Herrero?Álvarez, C. León, G. Miranda, dan E. Segredo, “Training Future Engineers: Integrating Computational Thinking and Effective Learning Methodologies Into Education,” Comput. Appl. Eng. Educ., vol. 32, no. 3, 2024, doi: https://doi.org/10.1002/cae.22723.
S. Arnab, S. Clarke, dan L. Morini, “Co-creativity through play and game design thinking,” Electron. J. e-Learning, vol. 17, no. 3, hal. 184–198, 2019, doi: https://doi.org/10.34190/JEL.17.3.002.
S. A. Yoon, E. Anderson, M. Park, K. Elinich, dan ..., “How augmented reality, textual, and collaborative scaffolds work synergistically to improve learning in a science museum,” … Technol. Educ., vol. 36, no. 3, hal. 261–281, 2018, doi: https://doi.org/10.1080/02635143.2017.1386645.
S. Blaschke, “Publication authorship: A new approach to the bibliometric study of scientific work and beyond,” PLoS One, vol. 19, no. 4 April, 2024, doi: https://doi.org/10.1371/journal.pone.0297005.
E. W. Duggan et al., “Using Bibliometric Data to Define and Understand Publishing Network Equity in Anesthesiology,” Anesth. Analg., 2024, doi: https://doi.org/10.1213/ane.0000000000006877.
W. Zheng, F. Yu, dan Y. J. Wu, “Social media on blended learning: the effect of rapport and motivation,” Behav. Inf. Technol., vol. 41, no. 9, hal. 1941–1951, 2022, doi: https://doi.org/10.1080/0144929X.2021.1909140.
DOI: https://doi.org/10.52088/ijesty.v5i4.1465
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