Analyzing Trends in Blended Learning for Professional Growth: A Scopus Bibliometric Review

siti miati(1*), Eveline Siregar(2), Cecep Kustandi(3),


(1) Pascasarjana Universitas Negeri Jakarta, Jakarta, Indonesia
(2) Pascasarjana Universitas Negeri Jakarta, Jakarta, Indonesia
(3) Pascasarjana Universitas Negeri Jakarta, Jakarta, Indonesia
(*) Corresponding Author

Abstract


Abstract

This bibliometric review study investigates the current state of research on blended learning models for professional development based on articles indexed in the Scopus database. The study utilized various bibliometric methods to analyze publication trends, influential authors, institutions, journals, and keywords related to the topic. The search resulted in a total of 1,349 articles published from 2001 to March 2023, indicating a noticeable increase in publications in recent years. The analysis revealed that the United Kingdom is the leading country in research output, with Griffith University being the most productive institutions. The BMC Medical Education was identified as the top publishing outlet in the field. The study identified four keywords that represent the most commonly used terms in the literature: blended learning, online learning, assessment, and professional development. This study provides insights into the current research trends and gaps in the field of blended learning for professional development, which can inform future research directions and support the design of effective professional development programs.

Keywords: bibliometric review, blended learning, professional development, Scopus database, research trends.

 

Abstrak

Studi tinjauan bibliometrik ini menyelidiki keadaan penelitian saat ini tentang model pembelajaran campuran untuk pengembangan profesional, berdasarkan artikel yang diindeks di database Scopus. Studi ini menggunakan berbagai metode bibliometrik untuk menganalisis tren publikasi, penulis berpengaruh, institusi, jurnal, dan kata kunci yang terkait dengan topik tersebut. Pencarian menghasilkan total 1.349 artikel yang diterbitkan dari tahun 2001 hingga Maret 2023, dengan peningkatan publikasi yang nyata dalam beberapa tahun terakhir. Analisis mengungkapkan bahwa Inggris adalah negara terdepan dalam hasil penelitian, dengan Universitas Griffith menjadi institusi paling produktif. BMC Medical Education diidentifikasi sebagai outlet penerbitan teratas di lapangan. Studi ini mengidentifikasi empat kata kunci yang mewakili istilah yang paling umum digunakan dalam literatur, termasuk pembelajaran campuran, pembelajaran online, penilaian, dan pengembangan profesional. Studi ini memberikan wawasan tentang tren dan kesenjangan penelitian saat ini di bidang pembelajaran campuran untuk pengembangan profesional, yang dapat menginformasikan arah penelitian di masa depan dan mendukung desain program pengembangan profesional yang efektif.

Kata kunci: tinjauan bibliometrik, blended learning, pengembangan profesional, database Scopus, tren penelitian.

Full Text:

PDF

References


Arruda, H., Silva, E. R., Lessa, M., Proença Jr., D., & Bartholo, R. (2022). VOSviewer and Bibliometrix. Journal of the Medical Library Association, 110(3), 392–395. https://doi.org/10.5195/jmla.2022.1434.

Barreiro, N., & Pinto de Matos, C. (2016). A blended learning model for practical sessions. In Computer Science and Information Systems (FedCSIS), 2016 Federated Conference on (pp. 903-912). IEEE. https://doi.org/10.15439/2016f432

Chen, D., Liu, Z., Luo, Z., Webber, M., & Chen, J. (2016). Bibliometric and visualized analysis of emergy research. Ecological Engineering, 90, 285–293. https://doi.org/10.1016/j.ecoleng.2016.01.026.

Chen, H., Sun, D., Yang, Y., Looi, C. K., & Jia, F. (2023). Detecting and visualizing research trends of blended learning: A bibliometric analysis of studies from 2013-2022. Eurasia Journal of Mathematics, Science and Technology Education, 19(10), em2336. https://doi.org/10.29333/ejmste/13592

Dattolo, A., & Corbatto, M. (2018, July). Visualbib: narrative views for customized bibliographies. In 2018 22nd International Conference Information Visualisation (IV) (pp. 133-138). IEEE.

Donnelly, R. (2010). Harmonizing technology with interaction in blended problem-based learning. Computers & Education, 54(2), 350–359. https://doi.org/10.1016/j.compedu.2009.08.012

Ellegaard, O. (2018). The application of bibliometric analysis: disciplinary and user aspects. Scientometrics, 116(1), 181–202. https://doi.org/10.1007/s11192-018-2765-z.

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.

Frehywot, S., Vovides, Y., Talib, Z., Mikhail, N., Ross, H., Wohltjen, H., Scott, J. (2013). E-learning in medical education in resource constrained low- and middle-income countries. Human Resources for Health, 11(1). https://doi.org/10.1186/1478-4491-11-4

Garrison, D., & Vaughan, N. (2008). Blended learning in higher education: Framework, Principles, and guidelines. San Francisco: John Wiley & Sons. https://doi.org/10.1002/9781118269558

González-Gómez, D., Jeong, J. S., Airado Rodríguez, D., & Cañada-Cañada, F. (2016). Performance and Perception in the Flipped Learning Model: An Initial Approach to Evaluate the Effectiveness of a New Teaching Methodology in a General Science Classroom. Journal of Science Education and Technology, 25(3), 450–459. https://doi.org/10.1007/s10956-016-9605-9

Hilliard, A. T. (2015). Global Blended Learning Practices for Teaching and Learning, Leadership, and Professional Development. Journal of International Education Research (JIER), 11(3), 179–188. https://doi.org/10.19030/jier.v11i3.9369

Ibarra-Vargas, S. B., Awad, G., & Velásquez, J. D. (2023). A Bibliometric and Cluster Analysis of Blended Learning Literature. IEEE Revista Iberoamericana De Tecnologias Del Aprendizaje, 18(1), 86–99. https://doi.org/10.1109/rita.2023.3250583

Janik, A., Ryszko, A., & Szafraniec, M. (2020). Scientific landscape of smart and sustainable cities literature: a bibliometric analysis. Sustainability, 12(3), 779. https://doi.org/10.3390/su12030779

Lalima, D., & Lata Dangwal, K. (2017). Blended Learning: An Innovative Approach. Universal Journal of Educational Research, 5(1), 129–136. https://doi.org/10.13189/ujer.2017.050116.

Leydesdorff, L., & Milojević, S. (2015). Scientometrics. International Encyclopedia of the Social & Behavioral Sciences, 322–327. https://doi.org/10.1016/b978-0-08-097086-8.85030-8.

Li, H., An, H., Wang, Y., Huang, J., & Gao, X. (2016). Evolutionary features of academic articles co-keyword network and keywords co-occurrence network: Based on two-mode affiliation network. Physica A: Statistical Mechanics and Its Applications, 450, 657–669. https://doi.org/10.1016/j.physa.2016.01.017

Liao, H., Tang, M., Luo, L., Li, C., Chiclana, F., & Zeng, X. J. (2018). A Bibliometric Analysis and Visualization of Medical Big Data Research. Sustainability, 10(2), 166. https://doi.org/10.3390/su10010166.

Merigó, J. M., Cancino, C. A., Coronado, F., & Urbano, D. (2016). Academic research in innovation: a country analysis. Scientometrics, 108(2), 559–593. https://doi.org/10.1007/s11192-016-1984-4

Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. El Profesional De La Información, 29(1). https://doi.org/10.3145/epi.2020.ene.03.

Muhuri, P. K., Shukla, A. K., & Abraham, A. (2019). Industry 4.0: A bibliometric analysis and detailed overview. Engineering Applications of Artificial Intelligence, 78, 218–235. https://doi.org/10.1016/j.engappai.2018.11.007.

Nuruzzaman, A. (2016). The Pedagogy of Blended Learning: A Brief Review. IRA International Journal of Education and Multidisciplinary Studies (ISSN 2455–2526), 4(1). https://doi.org/10.21013/jems.v4.n1.p14

Pinto, M., Pulgarín, A., & Escalona, M. I. (2013). Viewing information literacy concepts: a comparison of two branches of knowledge. Scientometrics, 98(3), 2311–2329. https://doi.org/10.1007/s11192-013-1166-6.

Porter, W. W., & Graham, C. R. (2015). Institutional drivers and barriers to faculty adoption of blended learning in higher education. British Journal of Educational Technology, 47(4), 748–762. https://doi.org/10.1111/bjet.12269

Radhakrishna, M., & Ravindran, V. (2022). How to practice academic medicine and publish from developing countries? A practical guide. Indian Journal of Rheumatology, 17(2), 222. https://doi.org/10.4103/injr.injr_2_22

Rovai, A. P., & Jordan, H. (2004). Blended Learning and Sense of Community: A Comparative Analysis with Traditional and Fully Online Graduate Courses. The International Review of Research in Open and Distributed Learning, 5(2). https://doi.org/10.19173/irrodl.v5i2.192

Ruiz JG, Mintzer MJ, Leipzig RM. The impact of E-learning in medical education. Acad Med. 2006 Mar;81(3):207-12. doi: 10.1097/00001888-200603000-00002. PMID: 16501260.

Saenz Tovar, G. A., & Alejandro Reta, R. (2022). Vosviewer as a complementary tool to analyze the state of the art applied to electricity markets. 2022 IEEE Biennial Congress of Argentina (ARGENCON). https://doi.org/10.1109/argencon55245.2022.9940131.

Solorzano, G. and Plevris, V. (2022). Computational intelligence methods in simulation and modeling of structures: a state-of-the-art review using bibliometric maps. Frontiers in Built Environment, 8. https://doi.org/10.3389/fbuil.2022.1049616

Tober, M. (2011). PubMed, ScienceDirect, Scopus or Google Scholar – Which is the best search engine for an effective literature research in laser medicine? Medical Laser Application, 26(3), 139–144. https://doi.org/10.1016/j.mla.2011.05.006.

van Eck, N. J., & Waltman, L. (2009). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3.

Woltering, V., Herrler, A., Spitzer, K., & Spreckelsen, C. (2009). Blended learning positively affects students’ satisfaction and the role of the tutor in the problem-based learning process: results of a mixed-method evaluation. Advances in Health Sciences Education, 14(5), 725–738. https://doi.org/10.1007/s10459-009-9154-6

Xie, L., Chen, Z., Wang, H., Zheng, C., & Jiang, J. (2020). Bibliometric and Visualized Analysis of Scientific Publications on Atlantoaxial Spine Surgery Based on Web of Science and VOSviewer. World Neurosurgery, 137, 435-442.e4. https://doi.org/10.1016/j.wneu.2020.01.171.

Yu, Z., & Peng, D. (2023). Visualizing and Bibliometrically Analyzing Information and Communication Technology-Based Blended Learning. International Journal of e-Collaboration, 19(1), 1–18. https://doi.org/10.4018/ijec.324950




DOI: 10.24235/al.ibtida.snj.v10i2.14984

Article Metrics

Abstract view : 0 times
PDF - 0 times

Refbacks

  • There are currently no refbacks.




Copyright (c) 2023 Al Ibtida: Jurnal Pendidikan Guru MI

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

AL IBTIDA Journal Indexed By:

        

 

  

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

View My Stats

 

Al Ibtida: Jurnal Pendidikan Guru MI Published by Department of Madrasah Ibtidaiyah Teacher Education, Faculty of Tarbiyah and Teacher Training, IAIN Syekh Nurjati Cirebon In Collaboration with Perkumpulan Dosen Pendidikan Guru Madrasah Ibtidaiyah (PD PGMI) Indonesia.

Editorial Office:

FITK Building, 5th Floor, Department of Madrasah Ibtidaiyah Teacher Education, Faculty of Tarbiyah and Teacher Training, IAIN Syekh Nurjati Cirebon.  Perjuangan Street of Sunyaragi, Cirebon City, West Java, Indonesia 45132 Phone. 0231-481264, Fax. 0231-489926, Email: alibtida@syekhnurjati.ac.id/ alibtida2@gmail.com