Mobile Learning Simulation (MLS) for Learning Physics in Heat Transfer Concept
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Jusup, M., Holme, P., Kanazawa, K., Takayasu, M., Romić, I., Wang, Z., ... & Perc, M. (2022). Social physics. Physics Reports, 948, 1-148.
Luharia, A., Mishra, G., Saroj, D., Sonwani, V., & Dhoble, S. J. (2022). The role of physics in modern radiotherapy: Current advances and developments. Photophysics and Nanophysics in Therapeutics, 139-162.
Harefa, A. R. (2019). Peran ilmu fisika dalam kehidupan sehari-hari. Warta Dharmawangsa, 13(2).
Intania, E. V., & Sutama, S. (2020). The role of character education in learning during the COVID-19 pandemic. Jurnal Penelitian Ilmu Pendidikan, 13(2), 129-136.
Gilbert, J. K., & Reiner, M. (2000). Thought experiments in science education: potential and current realization. International Journal of Science Education, 22(3), 265-283.
Motiwalla, L. F. (2007). Mobile learning: A framework and evaluation. Computers & education, 49(3), 581-596.
Wu, H. K., Lee, S. W. Y., Chang, H. Y., & Liang, J. C. (2013). Current status, opportunities and challenges of augmented reality in education. Computers & education, 62, 41-49.
El-Gayar, O., Moran, M., & Hawkes, M. (2011). Students' acceptance of tablet PCs and implications for educational institutions. Journal of Educational Technology & Society, 14(2), 58-70.
Enriquez, A. G. (2010). Enhancing student performance using tablet computers. College teaching, 58(3), 77-84.
Falloon, G. (2013). Young students using iPads: App design and content influences on their learning pathways. Computers & Education, 68, 505-521.
Murray, O. T., & Olcese, N. R. (2011). Teaching and learning with iPads, ready or not?. TechTrends, 55(6), 42-48.
Zydney, J. M., & Warner, Z. (2016). Mobile apps for science learning: Review of research. Computers & Education, 94, 1-17.
Kucirkova, N., Messer, D., Sheehy, K., & Panadero, C. F. (2014). Children's engagement with educational iPad apps: Insights from a Spanish classroom. Computers & Education, 71, 175-184.
Schneps, M. H., Ruel, J., Sonnert, G., Dussault, M., Griffin, M., & Sadler, P. M. (2014). Conceptualizing astronomical scale: Virtual simulations on handheld tablet computers reverse misconceptions. Computers & Education, 70, 269-280.
Wang, J. Y., Wu, H. K., & Hsu, Y. S. (2017). Using mobile applications for learning: Effects of simulation design, visual-motor integration, and spatial ability on high school students’ conceptual understanding. Computers in Human Behavior, 66, 103-113.
Hidayat, D. S., Rakhmat, C., Suryadi, A., Rochyadi, E., Nandiyanto, A. B. D., & Maryanti, R. (2022). Wheat flour as a thermal insulator for learning media for students with hearing impairment. Journal of Engineering Science and Technology, 17(1), 0085-0094.
Stylos, G., Sargioti, A., Mavridis, D., & Kotsis, K. T. (2021). Validation of the thermal concept evaluation test for Greek university students’ misconceptions of thermal concepts. International Journal of Science Education, 43(2), 247-273.
Löffler, P., Pozas, M., & Kauertz, A. (2018). How do students coordinate context-based information and elements of their own knowledge? An analysis of students’ context-based problem-solving in thermodynamics. International Journal of Science Education, 40(16), 1935–1956.
Gunawan, G., Harjono, A., Hermansyah, H., & Herayanti, L. (2019). Guided inquiry model through virtual laboratory to enhance students'science process skills on heat concept. Jurnal Cakrawala Pendidikan, 38(2), 259-268.
O'Brien, T. C., Palmer, R., & Albarracin, D. (2021). Misplaced trust: When trust in science fosters belief in pseudoscience and the benefits of critical evaluation. Journal of Experimental Social Psychology, 96, 104184.
Darman, D. R., Suherman, S., & Hidayat, S. (2017, December). Virtual Microscopic Simulation (VMS) to promote students’ conceptual change: A case study of heat transfer. In Asia-Pacific Forum on Science Learning & Teaching (Vol. 18, No. 2, pp. 1-12). The education university hongkong.
Grant, M. M. (2019). Difficulties in defining mobile learning: Analysis, design characteristics, and implications. Educational Technology Research and Development, 67, 361-388.
Almaiah, M. A., Hajjej, F., Lutfi, A., Al-Khasawneh, A., Alkhdour, T., Almomani, O., & Shehab, R. (2022). A conceptual framework for determining quality requirements for mobile learning applications using Delphi Method. Electronics, 11(5), 788.
Chao, C. M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in psychology, 10, 1652.
Alturki, U., & Aldraiweesh, A. (2022). Students’ perceptions of the actual use of mobile learning during COVID-19 pandemic in higher education. Sustainability, 14(3), 1125.
Aisyah, S., & Afrizal, A. (2022). Research Trends in Mobile Learning: A Systematic Literature Review From 2011-2021. Journal of Educational Technology and Instruction, 1(1), 49-61.
DOI: http://dx.doi.org/10.26737/jipf.v9i1.4741
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