Artificial intelligence-based learning recommendation system to promote critical and creative thinking on junior high school physics topics
DOI:
https://doi.org/10.21067/mpej.v9i1.10889Keywords:
Artificial intelligence, Recommendation system, Critical Thinking, creative thinkingAbstract
This study aims to design a learning recommendation system to support the development of critical and creative thinking skills in junior high school (SMP) physics topics. The system is designed to help students gain a deeper and more integrated understanding of scientific concepts, enabling them to relate physics to real-life contexts and other disciplines, such as biology and chemistry. The study employs a Research and Development (R&D) method, which includes needs analysis, system design, data collection and processing, and recommendation system development. The dataset consists of 7,524 learning objectives across various science topics selected per the 7th-grade SMP curriculum. The recommendation system is developed using a content-based filtering approach, allowing for personalised recommendations of learning materials and activities tailored to students’ learning profiles. The results indicate that this system has the potential to serve as an effective tool in supporting integrated physics learning in junior high school, as well as in fostering thinking skills essential for 21st-century challenges.
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Ajevski, M., Barker, K., Gilbert, A., Hardie, L., & Ryan, F. (2023). ChatGPT and the future of legal education and practice. Law Teacher, 00(00), 1–13. https://doi.org/10.1080/03069400.2023.2207426
Aryanti, Y., Afandi, Wahyuni, E. S., & Putra, D. A. (2021). Torrance Creative Thinking Profile of Senior High School Students in Biology Learning: Preliminary Research. Journal of Physics: Conference Series, 1842(1). https://doi.org/10.1088/1742-6596/1842/1/012080
Asrizal, Amran, A., Ananda, A., Festiyed, F., & Sumarmin, R. (2018). The development of integrated science instructional materials to improve students’ digital literacy in scientific approach. Jurnal Pendidikan IPA Indonesia, 7(4), 442–450. https://doi.org/10.15294/jpii.v7i4.13613
Assem, H. D., Nartey, L., Appiah, E., & Aidoo, J. K. (2023). A Review of Students’ Academic Performance in Physics: Attitude, Instructional Methods, Misconceptions and Teachers Qualification. European Journal of Education and Pedagogy, 4(1), 84–92. https://doi.org/10.24018/ejedu.2023.4.1.551
Banda, H. J., & Nzabahimana, J. (2023). The Impact of Physics Education Technology (PhET) Interactive Simulation-Based Learning on Motivation and Academic Achievement Among Malawian Physics Students. Journal of Science Education and Technology, 32(1), 127–141. https://doi.org/10.1007/s10956-022-10010-3
deNoyelles, A., & Reyes-Foster, B. (2015). Using word clouds in online discussions to support critical thinking and engagement. Journal of Asynchronous Learning Network, 19(4).
Dilekçi, A., & Karatay, H. (2023). The effects of the 21st century skills curriculum on the development of students’ creative thinking skills. Thinking Skills and Creativity, 47(January), 101229. https://doi.org/10.1016/j.tsc.2022.101229
Gleason, N. W. (2018). Higher Education in the Era of the Fourth Industrial Revolution. Palgrave Macmillan.
Gunawan, K. D. H., Liliasari, L., Kaniawati, I., & Setiawan, W. (2021). Implementation of Competency Enhancement Program for Science Teachers Assisted by Artificial Intelligence in Designing HOTS-based Integrated Science Learning. Jurnal Penelitian Dan Pembelajaran IPA, 7(1), 55. https://doi.org/10.30870/jppi.v7i1.8655
Gunawan, K D H, Kaniawati, I., & ... (2021). Respon Guru Dalam Mendesain Pembelajaran IPA Terpadu Berbantuan Intelligent Tutoring System: Evaluasi Program Pengabdian Masyarakat Peningkatan Kompetensi Guru. Jurnal WIDYA …, 1(1), 7–12. http://jurnalwidyalaksmi.com/index.php/jwl/article/view/2%0Ahttps://jurnalwidyalaksmi.com/index.php/jwl/article/download/2/2
Gunawan, K D H, Liliasari, S., Kaniawati, I., & Setiawan, W. (2020). Exploring Science Teachers ’ Lesson Plans by the Implementation of Intelligent Tutoring Systems in Blended Learning Environments. Universal Journal of Educational Research, 8(10), 4776–4783. https://doi.org/10.13189/ujer.2020.081049
Gunawan, Kadek Dwi Hendratma. (2023). Implementation of Integrated Science Course Program based on SAINS-Edu: Strengths and Weaknesses. International Journal of Instructions and Language Studies, 1(2), 43–52. https://doi.org/10.25078/ijils.v1i2.3156
Hidayati, Y., & Sinaga, P. (2019). The profile of critical thinking skills students on science learning. Journal of Physics: Conference Series, 1402(4). https://doi.org/10.1088/1742-6596/1402/4/044075
Indrawati, E. S., & Nurpatri, Y. (2022). Problematika Pembelajaran IPA Terpadu (Kendala Guru Dalam Pengajaran IPA Terpadu). Educativo: Jurnal Pendidikan, 1(1), 226–234. https://doi.org/10.56248/educativo.v1i1.31
Kainulainen, S. (2023). Research and Development (R&D) BT - Encyclopedia of Quality of Life and Well-Being Research (F. Maggino (ed.); pp. 5957–5959). Springer International Publishing. https://doi.org/10.1007/978-3-031-17299-1_2482
Khoiri, N., Ristanto, S., & Kurniawan, A. F. (2023). Project-Based Learning Via Traditional Game in Physics Learning: Its Impact on Critical Thinking, Creative Thinking, and Collaborative Skills. Jurnal Pendidikan IPA Indonesia, 12(2), 286–292. https://doi.org/10.15294/jpii.v12i2.43198
Kim, S., Jang, Y., Choi, S., Kim, W., Jung, H., Kim, S., & Kim, H. (2021). Analyzing Teacher Competency with TPACK for K-12 AI Education. KI - Kunstliche Intelligenz, 35(2), 139–151. https://doi.org/10.1007/s13218-021-00731-9
Kurdiati, L. A. (2022). Analysis of Critical and Creative Thinking Aspects in The Science Textbook of Merdeka Curriculum Materials of Measurement in Scientific Work. Edunesia: Jurnal Ilmiah Pendidikan, 4(1), 55–66. https://doi.org/10.51276/edu.v4i1.312
Lee, Y. J., & Wan, D. (2022). Disciplinary emphasis and coherence of integrated science textbooks: a case study from mainland China. International Journal of Science Education, 44(1), 156–177. https://doi.org/10.1080/09500693.2021.2021312
Li, X., Zhang, Y., Leung, J., Sun, C., & Zhao, J. (2022). EDAssistant: Supporting Exploratory Data Analysis in Computational Notebooks with In-Situ Code Search and Recommendation. ACM Transactions on Interactive Intelligent Systems. https://doi.org/10.1145/3545995
Ma, X., Zhang, Y., & Luo, X. (2023). Students’ and teachers’ critical thinking in science education: are they related to each other and with physics achievement? Research in Science & Technological Education, 41(2), 734–758. https://doi.org/10.1080/02635143.2021.1944078
Mujtahidin, Tryanasari, D., Oktarianto, M. L., & Afriyadi, M. M. (2020). Character Education for Indonesian Gold Generations: Basic Education Challenges in the Era of Disruption. 508(Icite), 116–121. https://doi.org/10.2991/assehr.k.201214.223
Rubini, B., Ardianto, D., & Pursitasari, I. D. (2019). Teachers ’ Perception Regardi ng Integrated Science Learning and Science Literacy. 253(Aes 2018), 364–366.
Sun, J., Ma, H., Zeng, Y., Han, D., & Jin, Y. (2023). Promoting the AI teaching competency of K-12 computer science teachers: A TPACK-based professional development approach. Education and Information Technologies, 28(2), 1509–1533. https://doi.org/10.1007/s10639-022-11256-5
UNESCO. (2019). Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development.
Wan, D., & Lee, Y. J. (2022). Coherence of Topics from Middle-School Integrated Science Textbooks from Taiwan and Korea. International Journal of Science and Mathematics Education, 20(5), 881–899. https://doi.org/10.1007/s10763-021-10187-w
Winarno, N. (2021). Pengembangan Model Perkuliahan IPA Terpadu dengan Pendekatan Integrated Curriculu-science, Technology, Engineering, And Mathematics (IC-STEM) Melalui Engineering Design Process for Learning (EDPL) untuk Meningkatkan Pengetahuan Interdisipliner dan Keteram. Universitas Pendidikan Indonesia.
Yamtinah, S., Ashadi, A., Mulyani, B., Utami, B., & Kristyasari, M. L. (2023). View of Characteristics analysis of integrated science question items with the rasch model.pdf. Journal of Environmental and Sustainability Education, 1(1), 7–19.
Yau, K. W., Chai, C. S., Chiu, T. K. F., Meng, H., King, I., & Yam, Y. (2023). A phenomenographic approach on teacher conceptions of teaching Artificial Intelligence (AI) in K-12 schools. Education and Information Technologies, 28(1), 1041–1064. https://doi.org/10.1007/s10639-022-11161-x
Yeadon, W., & Hardy, T. (2024). The impact of AI in physics education: a comprehensive review from GCSE to university levels. Physics Education, 59(2). https://doi.org/10.1088/1361-6552/ad1fa2
Yusar, T. R., & Kurniawati, D. (2023). Analysis of students critical thinking skills using essay tests on topics of rate reaction. Jurnal Pijar Mipa, 18(1), 13–19. https://doi.org/10.29303/jpm.v18i1.4507
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