Identifikasi Gaya Belajar Pada Siswa Baru Menggunakan Index of Learning Styles pada LMS Moodle Sesuai Felder-Silverman Learning Styles Model
DOI:
https://doi.org/10.31004/jptam.v7i2.8562Keywords:
– plugin ILS questionnaire, Moodle, index of learning style, Felder-Silverman Learning Styles, Gaya belajarAbstract
Mengetahui gaya belajar peserta didik diawal pembelajaran menjadi langkah penting sebelum memulai pembelajaran, hal ini bisa menciptakan suasana pembelajaran yang efektif dan efisien. Penelitian ini berusaha mengidentifikasi gaya belajar siswa baru SMK jurusan Teknik Komputer dan Jaringan (TKJ), menggunakan kuisioner ILS sebagai instrumen pengambilan data sesuai dengan model gaya belajar Felder-Silverman. 4 dimensi yang dibahas adalah dimensi processing (active-reflective), dimensi persepsi (sensing-intuitive), dimensi input (visual-verbal), dan dimensi understanding (sequential-global). Kuisioner ILS didigitalisasi dioperasikan menggunakan Learning Management System (LMS) Moodle dengan tambahan plugin ILS Questionnaire. Survei dilakukan pada interval juni – juli 2023 dengan responden siswa baru SMK jurusan TKJ. Semua data yang terkumpul melalui kuisioner ILS di Analisa menggunakan ILS scoring sheet. Hasil penelitian menunjukan kecenderungan gaya belajar siswa yaitu: gaya belajar active, gaya belajar sensing, gaya belajar visual, dan gaya belajar sequential, dengan perolehan persentase responden active (66%), visual (58%), Sequential (56%), dan terakhir sensing (56%). Penelitian ini memberikan saran akan hal pentingnya mengenal preferensi gaya belajar peserta didik serta saran bagi pengajar untuk memberikan metode bervariasi dengan melibatkan siswa secara aktif kedalam pembelajaran.
References
Aissaoui, O. El, El Madani, Y. E. A., Oughdir, L., & Allioui, Y. El. (2019). Combining supervised and unsupervised machine learning algorithms to predict the learners’ learning styles. Procedia Computer Science, 148, 87–96. https://doi.org/10.1016/j.procs.2019.01.012
Astutie, C. S. A. (2013). Pengaruh Gaya Mengajar Guru dan Gaya Belajar Siswa Terhadap Hasil Belajar Mata Pelajaran Ekonomi di Kelas X SMA Negeri 18 Surabaya. Jurnal Pendidikan Ekonomi (JUPE), 1(3), 1–15.
Brusilovsky, P. (2003). A distributed architecture for adaptive and intelligent learning management systems. 11th International Conference on Artificial Intelligence in Education. Workshop Towards Intelligent Learning Management Systems, 4.
Creswell, J. W. (2009). Qualitative, Quantitative, and Mixed-Methods Research. Microbe Magazine, 4(11), 485–485. https://doi.org/10.1128/microbe.4.485.1
El-Bishouty, M. M. (2019). Use of Felder and Silverman learning style model for online course design. Educational Technology Research and Development, 67(1), 161–177. https://doi.org/10.1007/s11423-018-9634-6
Felder; Soloman. (2014). Index of Learning Styles (ILS) Learning Style Questionnaire. Academic Skills Advice, 1–12. www.brad.ac.uk/academic-skills/%0A1
Felder, R. M., & Brent, R. (2016). Teaching and Learning in STEM: a Practical Guide.
Felder, S. (2014). Index of Learning Styles (ILS) Learning Style Questionnaire. Academic Skills Advice, 1–12. www.brad.ac.uk/academic-skills/%0A1
Felder, & Silverman. (1989). Learning and Teaching Styles In Engineering Education. BioCycle, 30(10), 66–67.
Felder, & Spurlin, J. (2005). Applications, reliability and validity of the index of learning styles. International Journal of Engineering Education, 21(1 PART 1), 103–112.
Frank Coffield. (2004). learning style and pedagogy in post-16 learning?: A systematic and critical review. Learning and Skills Research Centre. www.LSRC.ac.uk
Graf, S., Viola, S. R., Leo, T., & Kinshuk. (2007). In-depth analysis of the Felder-Silverman learning style dimensions. Journal of Research on Technology in Education, 40(1), 79–93. https://doi.org/10.1080/15391523.2007.10782498
Ikawati, Y., Al Rasyid, M. U. H., & Winarno, I. (2021). Student Behavior Analysis to Predict Learning Styles Based Felder Silverman Model Using Ensemble Tree Method. EMITTER International Journal of Engineering Technology, 9(1), 92–106. https://doi.org/10.24003/emitter.v9i1.590
Ipbuker, C. (2014). Teaching and Learning Styles in Engineering Education Learning Styles and Teaching Models in Engineering Education Felder-Solomon. November 2008, 1–4.
Kolb, A. Y., & Kolb, D. A. (1998). Learning Styles and Learning Spaces: Enhancing Experiential Learning in Higher Education. Huagong Kuangshan Jishu/Technology for Chemical Mines, 27(4), 46–50.
Leka, L., & Kika, A. (2021). Implementation of Moodle plugins to support student’s learning styles. Journal of Multidisciplinary Engineering Science …, 7(2), 3669–3672. http://www.jmess.org/wp-content/uploads/2021/02/JMESSP13420714.pdf
Liyanage, M. P. P., Lasith Gunawardena, K. S., & Hirakawa, M. (2016). Detecting learning styles in learning management systems using data mining. Journal of Information Processing, 24(4), 740–749. https://doi.org/10.2197/ipsjjip.24.740
Moodle. (n.d.). Questionnaire_Personality_test. Questionnaire_Personality_test. https://docs.moodle.org/402/en/Questionnaire_Personality_test
Mumford, A. (1987). Learning Styles and Learning. Personnel Review, 16(3), 20–23. https://doi.org/10.1108/eb055565
Murray, M. C., & Perez, J. (2015). Informing and Performing: A Study ComparingAdaptive Learning to Traditional Learning Part of the Databases and Information Systems Commons. 18, 111–125. http://digitalcommons.kennesaw.edu/facpubs
Ovariyanti, A. S., & Santoso, and H. B. (2016). An Adaptation of the Index of Learning Style ( ILS ) to Indonesian Version?: IEEE.
Pennsylvania, T., & Welfare, C. (1994). ILS SCORING SHEET ( continued ). 521: Super, 2–3.
Plyer, L., Marcou, G., Perves, C., Schurhammer, R., & Varnek, A. (2022). Implementation of a soft grading system for chemistry in a Moodle plugin. Journal of Cheminformatics, 14(1), 1–9. https://doi.org/10.1186/s13321-022-00645-0
Rasheed, F. (2021). Learning style detection in E-learning systems using machine learning techniques. Expert Systems with Applications, 174. https://doi.org/10.1016/j.eswa.2021.114774
Sfenrianto, Hasibuan, Z. A., & Suhartanto, H. (2013). An Automatic Approach for Identifying Triple-Factor in e-Learning Process. International Journal of Computer Theory and Engineering, 5(2), 371–376. https://doi.org/10.7763/ijcte.2013.v5.712
Soekidjo, N. (2012). “Promosi kesehatan dan perilaku kesehatan.” Jakarta: Rineka Cipta, 131-132.
Soloman, B. a, Carolina, N., & Felder, R. M. (2012). Index of Learning Styles Questionnaire. Learning, January 1999, 1–5. http://www.engr.ncsu.edu/learningstyles/ilsweb.html
Sternberg, R. J. (1994). “Allowing for Thinking Styles.” Educational Leadership 52.3 (): 36-40.
Van Selm, M., & Jankowski, N. W. (2006). Conducting online surveys. Quality and Quantity, 40(3), 435–456. https://doi.org/10.1007/s11135-005-8081-8
Zabolotskikh, A., Zabolotskikh, A., Dugina, T., & Tavberidze, D. (2020). Creating individual learning paths in the Moodle plugin for undergraduate students to study English grammar. Education and Information Technologies. https://doi.org/10.1007/s10639-020-10278-1
Zaric, N., Judel, S., Roepke, R., & Schroeder, U. (2019). Ilsa – an Integrated Learning Styles Analytics System. EDULEARN19 Proceedings, 1(August), 2857–2864. https://doi.org/10.21125/edulearn.2019.0770
Zywno, M. S. (2003). A contribution to validation of score meaning for Felder-Soloman’s Index of Learning Styles. ASEE Annual Conference Proceedings, 2855–2870. https://doi.org/10.18260/1-2--12424
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