The Influence of Personalized Web-Based Learning on The Mastery and Application of Concepts in Students with Different Learning Styles
DOI:
https://doi.org/10.21009/jtp.v26i1.45877Keywords:
Personalization, Web-Based Learning, Mastery of Concepts, Application of Concepts, Learning StyleAbstract
Conventional learning has limitations, leading researchers to propose personalized web-based learning tailored to individual student characteristics. This study focuses on enhancing web-based learning at Bhinneka PGRI University in Indonesia by customizing content and activities to align with students' learning styles. The research methodology uses a quasi-experimental design involving 72 information technology education students. Data collection includes assessments of learning styles, concept mastery, and concept application through tests. Descriptive statistical analysis shows that personalized web-based learning has a more positive influence on the mastery and application of concepts compared to non-personalized learning. There is no significant correlation between personalized web-based learning and students' learning styles. The findings indicate differences in mastery and application of concepts among students using web-based learning, but no disparities based on different learning styles. In conclusion, personalized web-based learning leads to variations in mastery and application of concepts compared to non-personalized methods, with no discernible discrepancy in the mastery and application of concepts between students with different learning styles. Research indicates that personalized web-based learning is more effective in enhancing mastery and application of concepts compared to non-personalized methods. By customizing web-based learning to individual learning styles, students can enhance the quality and outcomes of their learning.
References
Anderson, L.W., & Krathwohl, D.R. (2001). A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives. New York: Longman.
Asari, A.R. (1998). Penggunaan Alat Peraga Manipulatif dalam Pemahaman Konsep Matematika. Pengajaran MT-PA, 27(1): 1-13.
Cerra, P.P. et al. (2013). Can Interactive web based CAD tools improve the learning of engineering drawing?, a case study. Journal Science Education Technology, doi 10.1007/s10956-01309471-7.
Cheng, G. (2014). Exploring students’ learning styles in relation to their acceptance and attitudes towards using Second Life in education: Acase study in Hong Kong. Computers and Education, 70, 105–115.
Dunn, R., Dunn, K., & Price, G. E. (1984). Productivity environmental preference survey. Lawrence: Price Systems.
Felder, R.M., dan Silverman, L. K. (1988). Learning and Teaching Styles in Engineering Education. Engineering Education Journal, 78(7), 674–681.
Franzoni-Velazquez, A. L., Cervantes-Perez, F. & Assar, S. (2012). A Quantitative Analysis of Student Learning Styles and Teacher Teachings Strategies in a Mexican Higher Education Institution. Journal of Applied Research and Technology, 10(3), 289-308.
Gardner, H. (1999). The Dicipline Mind: What Students Should Understand. New York: Simon & Schuster Inc.
Hwang, G. J., Sung, H. Y., Hung, C. M., Huang, I., & Tsai, C. C. 2012. Development of a personalized educational computer game based on students’ learning styles. Educational Technology Research and Development, 60(4), 623–638.
Hwang, G. J., Panjaburee, P., Shih, B. Y., & Triampo, W. (2013a). A group decision approach to developing concept effect models for diagnosing student learning problems. British Journal of Educational Technology, 44(3), 453–468.
Hwang, G. J., Sung, H. Y., Hung, C. M., & Huang, I. (2013b). A learning style perspective to investigate the necessity of developing adaptive learning systems. Educational Technology and Society, 16(2), 188–197.
Kaburlasos, V. G., Marinagi, C. C., & Tsoukalas, V. T. (2008). Personalized multi-student improvement based on Bayesian cybernetics. Computers and Education, 51, 1430–1449.
Keefe, J. W. (1987). Learning styles: Theory and practice. Reston: National Association of Secondary School Principals.
Kolb, D. A., Osland, J. S., & Rubin, I. M. (1995). Organization behaviour (6th ed.). New Jersey: Prince-Hall.
Litzinger, T.A., Lee, S.H., Wise, J.C., dan Felder, R.M. (2005). A study of the reliability and validity of the Felder-Soloman Index of Learning Styles, Proceedings of the ASEE Annual Conference, American Society for Engineering Education.
Litzinger, T., Lee, S. H., Wise, J. C., & Felder, R. M. (2007). A psychometric study of the index of learning styles. Journal of Engineering Education, 96(4), 309–319.
Mampadi, F., Chen, S. Y., Ghinea, G., & Chen, M.-P. (2011). Design of adaptive hypermedia learning systems: A cognitive style approach. Computers and Education, 56(4), 1003–1011.
Oliver, R. (2007). Engaging first year students using a web supported inquiry based learning setting. High Education, 55, 285-301.
Panjaburee, P., Hwang, G. J., Triampo, W., & Shih, B. Y. (2010). A multi-expert approach for developing testing and diagnostic systems based on the concept-effect model. Computers and Education, 55(2), 527–540.
Panjaburee, P. & Srisawasdi, N. (2013a). Criteria and strategies for applying concept-effect relationship model in technological personalized learning environment. In: Proceedings of the 21st International Conference on Computers in Education (2013). Asia-Pacific Society for Computers in Education, Indonesia.
Panjaburee, P. & Srisawasdi, N. (2013b). Guideline for the development of personalized technology enhanced learning in science, technology, and mathematics education. In: Proceedings of the 21st International Conference on Computers in Education 2013. Asia-Pacific Society for Computers in Education, Indonesia.
Papanikolaou, K. A., Grigoriadou, M., Magoulas, G. D., & Kornilakis, H. (2002). Towards new forms of knowledge communication: The adaptive dimension of a web-based learning environment. Computers and Education, 39, 333–360.
Papastergiou, M., & Gerodimos, V. (2012). Can learning of basketball be enhanced through a web based multimedia course?, an experimental study. Education Information Technology (2013), 18, 459-478, doi 10.1007/s10639-012-9186-z.
Permana, Pepen. (2008). E-Learning dan dosen Online, h. 84. Padang: Ilmu Computer.Com.
Popescu, E. (2010). Adaptation provisioning with respect to learning styles in a Web-based educational system: An experimental study. Journal of Computer Assisted Learning, 26(4), 243–257.
Rusman. (2011). Model-Model dosen, h. 335. Jakarta: Rajawali Pers.
Rusman. (2012). Belajar dan dosen Berbasis Komputer, h. 295. Bandung: Alfabeta.
Rusman, Deni Kurniawan & Cepi Riyana. (2012). Dosen Berbasis Teknologi Informasi dan Komunikasi. Jakarta: Raja Grafindo Persada.
Santoso, Singgih. (2015). Menguasai Statistik Parametrik: Konsep dan Aplikasi dengan SPSS. Jakarta: PT. Elex Media Komputindo.
Santoso, Singgih, dan Tjiptono. (2002). Riset Pemasaran : Konsep dan Aplikasinya dengan SPSS. Jakarta: PT. Elex Media Komputindo.
Setyosari, P. (2013). Metode Penelitian Pendidikan dan Pengembangan. Jakarta: Kharisma Putra Utama.
Shukr, I., Zainab, R., & Rana, M. H. (2013). Learning styles of postgraduate and undergraduate medical students. Journal of College of Physicians and Surgeons Pakistan, 23, 25-30.
Solusindo, E-Media. (2008). Membangun Komunitas Online Secara Praktis Dan Gratis. Jakarta: PT Gramedia.
Srisawasdi, N. (2012). Introducing students to authentic inquiry investigation by using an artificial olfactory system. In K. C. D. Tan, M. Kim, & S. W. Hwang (Eds.), Issues and challenges in science education research: Moving forward. Dordrecht: Springer.
Srisawasdi, N. & Panjaburee, P. (2015). Personal learning activity approach for developing adaptive webbased learning systems. Proceedings of the 23rd International Conference on Computers in Education. China: Asia-Pacific Society for Computers in Education.
Tseng, S. S., Su, J. M., Hwang, G. J., Hwang, G. H., Tsai, C. C., & Tsai, C. J. (2008b). An object-oriented course framework for developing adaptive learning systems. Educational Technology and Society, 11(2), 171–191.
Tuckman, B.W. & Harper. (2012). Conducting educational research, 5th edition: Orlando: Harcourt Brace College Publisher.
Ultanir, E., Ultanir, Y. G. & Temel, G. O. (2012). The Examination of University Students' Learning Styles by Means of Felder-Silverman Index. Egitim Ve Bilim-Education and Science, 37(163), 29-42.
Downloads
Published
How to Cite
Issue
Section
License
Jurnal Teknologi Pendidikan is an Open Access Journal. The authors who publish the manuscript in Jurnal Teknologi Pendidikan agree to the following terms.
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
-
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
- You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
- No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.