UPSI Digital Repository (UDRep)
|
UPSI Digital Repository (UDRep)
|
|
|
|
||||||||||||||||||||||||||||||
| Abstract : Universiti Pendidikan Sultan Idris |
| Text analytics can be applied in education to gain insights into student learning, teacher performance, and educational trends by analysing various forms of text-based data such as student essays, social media posts, and educational resources. While the need for teacher preparation and training is identified, specific solutions or effective strategies for equipping educators with the skills and knowledge to integrate graphic visualizations into their teaching practices might be underexplored. This Scientometrics study used PRISMA approach (Preferred Reporting Items for Systematic Review and Meta-Analysis) Using R tool. Scopus databases that were relevant to the research topic, and its standardized procedures ensured comprehensiveness and replicability. The study found 85 articles using the PRISMA approach from the Scopus database, with 98.82% being articles and 1.18% from conference proceedings. The number of articles published increased in 2022, with 33 articles, compared to 22 articles in 2020. The total number of cited papers was 70, with a total citation of 969. This indicates an increase in research related to graphic visualization in education due to technological advancements. The citation per cited paper was 119. Besides, the study identifies the top 10 countries that have conducted research in graphic visualization, with the United States leading with 19 studies followed by China with 12 and Spain with 8. The top three subject areas in the current research trends are Computer Science education with 78 publications, Engineering education with 33, and Social Science education with 14. Other fields related to language and linguistics are also being given special attention. These findings suggest that education systems and research in education are keeping up with global developments. There is potential for visualizations to be integrated with AI technologies to provide personalized learning experiences, while ensuring that visualizations are accessible to all students, including those with visual impairments. Studies have shown that using these approaches in education can enhance student learning and understanding of complex concepts. © 2024, Semarak Ilmu Publishing. All rights reserved. |
| References |
Chen, C., & Chen, H. “Educational Data Mining and Learning Analytics for 21st Century Learning.” Journal of Educational Technology Development and Exchange (JETDE), 10(1), 1-14. (2017). Raghavan, K., Khandpur, R., Deshpande, A., Kambadur, P., & Lohani, S. “Analyzing online discussion forums in higher education using text analytics.” Education and Information Technologies, 24(6), (2019): 3401-3417. Maier, H. R. “Technology in data analysis and visualization: An overview.” Hydrology and Earth System Sciences, 24(8), (2020): 4257-4265. Kim, J., & Lee, W. “Virtual reality and augmented reality in education.” Journal of Educational Technology & Society, 22(4), (2019): 1-15. Chen, X., & Paul, R. “Visual analytics: Past, present, and future.” ACM Transactions on Intelligent Systems and Technology (TIST), 9(5), (2018): 1-32. Aggarwal, S., Kulkarni, P., & Srivastava, S. “Leveraging Text Analytics in Education: Challenges and Opportunities. International Journal of Engineering Research and Technology, 14(3), (2021): 20-24. Vanek, J., Chen, B., Prajapati, A., Zhu, Z., & Suen, H. K. “Text analytics in higher education: opportunities and challenges.” Journal of Computing in Higher Education, 33(1), (2021): 18-35. Zhang, M., Li, X., Liao, M., & Li, M. “The effect of interactive graphic visualization on students' performance and motivation in college physics courses.” Computers & Education, 163, (2021): 104073. Kuziemsky, C. E., Kennelly, J., Maeder, A. J., & Lai, H. “Nursing education during COVID-19: A comprehensive scoping review.” Journal of Nursing Education and Practice, 11(4), (2021): 52-61. Hattie, John, Deb Masters, and Kate Birch. Visible learning into action: International case studies of impact. Routledge, 2015. https://doi.org/10.4324/9781315722603. Luo, Z., Liu, X., Shi, Y., & Xie, L. (2020). The impact of graphic visualization on students' understanding of statistics in a college course. Frontiers in Psychology, 11, 1274. Akpan, I. J., & Ntuen, C. A. “Enhancing students' learning outcomes through the use of graphic visualization in computer programming education.” Journal of Educational Computing Research, 55(3), (2017): 364-388. Leydesdorff, L., & De Moya Anegón, F. “The evaluation of research by scientometric indicators. In F. Moed, W. Glänzel, & U. Schmoch (Eds.).” Handbook of quantitative science and technology research (pp. 19-52). Springer. (2010). Bormann, L., and L. Leydesdorff. "Scientometrics in a changing research landscape." Science & society 15, no. 12 (2014): 1228-1232. https://doi.org/10.15252/embr.201439608. U.S. Department of Education. “Education and the internet: Trends and patterns in technology use by students and teachers.” (2018). https://nces.ed.gov/pubs2018/2018066.pdf. Hershkovitz, A. & Forkosh-Baruch, A. “Are teachers ready to teach with technology? A survey of Israeli teachers' Technological Pedagogical Content Knowledge.” Journal of Educational Computing Research, 54(5), (2016): 600-618. Bergner, Y. & Zeckzer, D. “From "seeing" to "understanding": The impact of graphic visualization on learning in science education.” Journal of Educational Psychology, 109(3), (2017): 281–297. Sonalake. “Barriers to accessing online content for people with disabilities.” (2019). https://sonalake.com/latest/barriers-to-accessing-online-content-for-people-with-disabilities/ Eichelberger, A., Fu, S., Zhou, Q., & Liu, J. “Visualization for individuals with disabilities: A survey.” Journal of Visual Languages & Computing, 48, (2018): 47-57. https://doi.org/10.1016/j.jvlc.2018.08.002. Ravindran, D., Manivannan, M., & Anand, S. “Virtual and augmented reality in education.” In Virtual Reality (pp.167-182). Springer. (2020). Hurtubia Ramos, E., Strijk, T., & van der Kooij, K. “A systematic review of data visualization in education: current use and future opportunities.” Education and Information Technologies, (2021): 1-22. Moher, David, Alessandro Liberati, Jennifer Tetzlaff, Douglas G. Altman, and Prisma Group. "Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement." International journal of surgery 8, no. 5 (2010): 336-341. https://doi.org/10.1016/j.ijsu.2010.02.007. |
| This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials. You may use the digitized material for private study, scholarship, or research. |