Model Blended Learning Bervisi SETS untuk Melatih Kecerdasan Jasmaniah Kinestetik, Logis Matematis, Visual Spasial, dan Naturalis Mahasiswa
DOI:
https://doi.org/10.30599/jti.v14i2.1477Keywords:
Blended Learning, SETS, Kecerdasan MajemukAbstract
Tujuan penelitian ini adalah untuk mengembangkan model pembelajaran blended learning bervisi SETS dalam melatih kecerdasan jasmaniah kinestetik, logis matematis, visual spasial dan naturalis mahasiswa. Metode penelitian yang digunakan yaitu R&D (Research and Development) yang terdiri dari tujuh tahapan : 1)Research and Information Collecting, 2) Planning, 3) Develop preliminary form of product, 4) Preliminary field testing, 5) Main product revision, 6) Main Field Testing, 7)Final product revision. Hasil penelitian menunjukan model pembelajaran blended learning bervisi SETS diracang berdasarkan tahapan pembelajaran pengelolaan lingkungan hidup (PLH) secara daring dan luring. Pengembangan model blended learning bervisi SETS efektif dalam melatih kecerdasan majemuk mahasiswa yang terdiri dari kecerdasan jasmaniah kinestetik, logis matematis, visual spasial dan naturalis mahasiswa.
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References
Armstrong, T. (2009). Multiple intelligences in the classroom. Alexandria.
Borg & Gall. (1983). Educational Research: An Introduction, Fifth Edition. Longman.
Borg & Gall. (2003). Educational Research (Seventh Ed). Longman.
Gardner, H. (1993). Multiple Intelligences : The Theory in Practice A Reader. Basic Books.
Graham, C. R. (2015). Emerging Practice and Research in Blended Learning. In Handbook of Distance Education. Routledge. https://doi.org/10.4324/9780203803738.ch21
Hayati, I. A., Rosana, D., & Sukardiyono, S. (2019). Pengembangan modul potensi lokal berbasis SETS untuk meningkatkan keterampilan proses IPA Development of SETS based local potential modules to improve science process skills. Jurnal Inovasi Pendidikan IPA, 5(2), 248–257.
Kaewkiriya, T., Utakrit, N., & Tiantong, M. (2016). The Design of a Rule Base for an e-Learning Recommendation System Base on Multiple Intelligences. International Journal of Information and Education Technology, 6(3), 206–210. https://doi.org/10.7763/ijiet.2016.v6.685
Kaewkiriya, Thongchai. (2016). Design Of A Mobile E-Learning Forecasting System Based On A Case Study Using Multiple Intelligence Analysis. International Journal of Electronic Commerce Studies, 7(2), 189–200. https://doi.org/10.7903/ijecs.1413
Kuswati. (2004). Sains Kimia 1B. Bumi Aksara.
Misron, M. M., Shaffiei, Z. A., Mutalib, A. A., & Suhadak, S. A. (2014). Teaching the Indigenous Students with Courseware Based on Theory of Multiple Intelligences. American Journal of Economics and Business Administration, 3(3), 525–533. https://doi.org/10.3844/ajebasp
Phillips, A., Pane, J. F., Reumann-Moore, R., & Shenbanjo, O. (2020). Implementing an adaptive intelligent tutoring system as an instructional supplement. Educational Technology Research and Development. https://doi.org/10.1007/s11423-020-09745-w
Sherman, C. (2014). Technology Skill Development Among Education Majors. The Journal of Technology Studies, 40(1). https://doi.org/10.21061/jots.v40i1.a.1
Sugiono. (2002). Metode Penelitian Pendidikan (Pendekatan Kuantitatif, Kualitatif dan R&D). Alfabeta.
Tripathi, R. K., Kurle, D. G., Jalgaonkar, S. V., Sarkate, P. V., & Rege, N. N. (2017). Implementation of supplemental E-learning models for online learning in pharmacology. National Journal of Physiology, Pharmacy and Pharmacology, 7(10), 1084–1090. https://doi.org/ 10.5455/njppp. 2017.7.0514527052017
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