Artificial Intelligence and Canva-assisted Modeling the Way Methods to Improve the Multi-Representation Ability of Islamic Education Students
Main Article Content
Abstract
This study investigates applying the 'Modeling the Way' method, enhanced by artificial intelligence (AI) and Canva, to improve the multi-representation skills of students in the Islamic Education Studies Program (PAI) at Maulana Malik Ibrahim Malang UIN. Generation Z has unique learning characteristics and requires a more visual and interactive approach to education. This method uses AI to personalize learning experiences and Canva to facilitate the visualization of complex concepts. The study used an experimental design with a quantitative approach through pre-tests and post-tests to measure the verbal, mathematical, graphical, and symbolic representation skills of 58 students. The results showed a significant improvement in student multi-representation skills after the intervention, with an average increase of 31 points, from 49.75 in pre-tests to 80.75 in post-tests. Inferential statistical analysis suggests that this method has a significant positive impact on student abilities, marking the effectiveness of this innovative approach in meeting the learning needs of Generation Z. This research contributes to the literature by showing that integrating AI and Canva in learning can create a more dynamic and adaptive learning environment, improving student motivation and academic outcomes. These findings significantly impact the development of curricula and more effective teaching methods in higher education. This research suggests the need for additional experiments to test the effectiveness of these methods in different educational contexts, as well as the potential integration of other technological tools to enhance the learning experience. The use of AI and Canva as learning aids underlines the importance of adopting modern technology in education, improving academic achievement, and preparing students to face the challenges of the ever-expanding digital world.
Article Details
References
Alifah, F., & Istiyono, E. (2023). Development Of Test Instruments to Improve Students’ Multirepresentational Ability. Jurnal Penelitian Pendidikan IPA, 9(11), Article 11. https://doi.org/10.29303/jppipa.v9i11.5286
Anggraeni, A. D., & Pentury, H. J. (2022). Empowering Students’ 21st Century Skills through Canva Application. Jurnal Kependidikan: Jurnal Hasil Penelitian Dan Kajian Kepustakaan Di Bidang Pendidikan, Pengajaran Dan Pembelajaran, 8(1), 50–57. https://doi.org/10.33394/jk.v8i1.4391
Arifa, L. N. (2023). Persepsi Mahasiswa terhadap Metode Pembelajaran yang digunakan oleh Dosen saat Perkuliahan [Survey terhadap 103 mahasiswa PAI UIN Malang]. Universitas Islam Negeri Maulana Malik Ibrahim Malang.
Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52–62.
Fatmawati, A. (2022). Pengaruh learning cycle multiple representation terhadap penguasaan konsep, kemampuan representasi, dan keterampilan berpikir kritis mahasiswa pada matakuliah fisiologi tumbuhan ditinjau dari kemampuan akademik / Any Fatmawati [Doctoral, Universitas Negeri Malang]. https://repository.um.ac.id/271889/
Fifiana, Q., Bernard, M., & Yuliani, A. (2024). The Development of Problem Based Learning Canva-Assisted Teaching Materials to Improve Mathematical Probem Solving Ability on Integer. (JIML) Journal of Innovative Mathematics Learning, 7(2), 195–205.
Fjermestad, J., & Hiltz, S. R. (1998). An Assessment of Group Support Systems Experimental Research: Methodology and Results. Journal of Management Information Systems, 15(3), 7–149. https://doi.org/10.1080/07421222.1998.11518216
Haryoto, R. P., Ramadhanti, I. P., Nadialhaq, I., Listyanti, N. R., & Pandin, M. G. R. (2022). Digital Literature from The Perspective of Generation Z [Preprint]. Open Science Framework. https://doi.org/10.31219/osf.io/x9g2r
Hendrastomo, G., & Januarti, N. E. (2023). The Characteristics of Generation Z Students and Implications for Future Learning Methods. Jurnal Kependidikan: Jurnal Hasil Penelitian Dan Kajian Kepustakaan Di Bidang Pendidikan, Pengajaran Dan Pembelajaran, 9(2), 484–496. https://doi.org/10.33394/jk.v9i2.7745
Jian, M. J. K. O. (2023). Personalized learning through AI. Advances in Engineering Innovation, 5, 16–19. https://doi.org/10.54254/2977-3903/5/2023039
Kocaarslan, G. E., & Eryaman, M. R. (2024). Using “canva for education” application with collaborative learning in visual arts lesson: Sample activities for teachers. Elektronik Sosyal Bilimler Dergisi, 23(90), 849–866.
Madeamin, R., & Rimang, S. S. (2023). Transforming Expository Writing Skills in Class V Students: The Impact of the “Modeling the Way” Method on Learning Outcomes. AL-ISHLAH: Jurnal Pendidikan, 15(3), Article 3. https://doi.org/10.35445/alishlah.v15i3.2492
Pedroso, J. E., Sulleza, R. S., Francisco, K. H. M. C., Noman, A. J. O., & Martinez, C. A. V. (2023). Unlocking the Power of Canva: Students’ Views on Using the All-In-One Tool for Creativity and Collaboration. Journal of Digital Learning And Distance Education, 2(2), Article 2. https://doi.org/10.56778/jdlde.v2i2.117
Pinontoan, N. A., Kristanty, S., Jati, R. P., & Suratno, G. (2023). Exploring High School Students’ Potential for Improving Design with Artificial Intelligence. ICCD, 5(1), Article 1. https://doi.org/10.33068/iccd.v5i1.666
Primastio, G. D., Masyithah, I. U., & Maulero, R. (2023). Differcence in Levels of Hardiness Personality Between Generation X, Generation Y, and Generation Z. KnE Social Sciences, 82–93. https://doi.org/10.18502/kss.v8i19.14352
Rambe, N. A. A., & Umar, A. (2024). Pengaruh Metode Modelling The Way Anekdot Pada Siswa Kelas X SMA Swasta Pembangunan Galang. Jurnal Nakula: Pusat Ilmu Pendidikan, Bahasa Dan Ilmu Sosial, 2(3), 44–55.
Senja, B. K., Medriati, R., & Putri, D. H. (2024). Development of A Problem Based Learning E-Module with The Assistance of Canva on The Matery of Balance and Rotational Dynamics To Grow Students’interest In Learning. Jurnal Pendidikan Matematika Dan IPA, 15(1), 1–16.
Sunarso, A., & Herdianto, F. (2024). Canva-assisted Modelling the Way strategy and students’ Islamic education learning outcomes. Jurnal Cakrawala Pendidikan, 43(2), Article 2. https://doi.org/10.21831/cp.v43i2.60691
Yang, Y., & Xia, N. (2023). Enhancing Students’ Metacognition via AI-Driven Educational Support Systems. International Journal of Emerging Technologies in Learning (iJET), 18(24), Article 24. https://doi.org/10.3991/ijet.v18i24.45647