Investigating Problem Solving and Mathematical Connections in Solving the Fermi-Dirac Equation
DOI:
https://doi.org/10.57092/ijetz.v1i2.36Keywords:
Fermi-Dirac Equation, Math Connection Ability, problem solving skills, Statistical physicsAbstract
This study aimed to describe the problem-solving abilities and mathematical connections of the sixth-semester students of Physics Tadris in the Statistical Physics course, especially the Bose-Einstein Equation Material. This type of research is quantitative descriptive research. Data collection in this study used a cognitive test technique in the form of a description test to measure students' mathematical abilities, which amounted to 8 questions, of which four were used to measure problem-solving abilities, and four were used to measure students' mathematical connections. Data analysis was carried out descriptively to determine the profile of students' mathematical abilities and the distribution of predicate achievement on the ability of problem fractions and students' mathematical connections. The results showed that students' average problem-solving ability and mathematical connection were in the Pretty Good category.
Downloads
References
Chen, B. H., & Chiou, H. H. (2014). Learning style, sense of community and learning effectiveness in hybrid learning environment. Interactive Learning Environments, 22(4), 485–496. https://doi.org/10.1080/10494820.2012.680971
Creswell, J. W. (2012). Planning, Conducting, and Evaluating Quantitative and Qualitative Research.
Cummings, K., Laws, P., Redish, E., & Patrick, C. (2004). Understanding Physics is based on Fundamental of Physics. 1227.
Defrianti, D., & Iskandar, I. (2022). The Mastery of Teacher Emotional Intelligence Facing 21st Century Learning. International Journal of Educationa and Teaching Zone, 1(1), 50–59.
Halloun, I. A. (2007). Evaluation of the Impact of the New Physics Curriculum on the Conceptual Profiles of Secondary Students. 1–25. http://www.halloun.net/index.php?option=com_content&task=view&id=4&Itemid=6
Higgins, J. P. T., & Thompson, S. G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21(11), 1539–1558. https://doi.org/10.1002/sim.1186
Hwang, W. Y., Chen, N. S., Dung, J. J., & Yang, Y. L. (2007). Multiple representation skills and creativity effects on mathematical problem solving using a multimedia whiteboard system. Educational Technology and Society, 10(2), 191–212.
Lehavi, Y., & Eylon, B.-S. (2018). Integrating Science Education Research and History and Philosophy of Science in Developing an Energy Curriculum. https://doi.org/10.1007/978-3-319-62616-1_9
Lu, Z., Vincent, J. I., & MacDermid, J. C. (2021). Evaluation of the Structural Validity of the Work Instability Scale Using the Rasch Model. Archives of Rehabilitation Research and Clinical Translation, 3(1), 100103. https://doi.org/10.1016/j.arrct.2021.100103
Malone, K. L. (2008). Correlations among knowledge structures, force concept inventory, and problem-solving behaviors. Physical Review Special Topics - Physics Education Research, 4(2), 1–15. https://doi.org/10.1103/PhysRevSTPER.4.020107
Meiliani, M., Tanti, T., & Sulman, F. (2021). Student Resources On Newton’s Lawa Concepts Reviewing From Gender: Identification Using Open-Ended Question. Indonesia Journal of Science and Mathematics Education, 04(November), 324–332. https://doi.org/10.24042/ijsme.v4i3.10177
Mestre, J. P., Docktor, J. L., Strand, N. E., & Ross, B. H. (2011). Conceptual Problem Solving in Physics. In Psychology of Learning and Motivation - Advances in Research and Theory (Vol. 55). Elsevier Inc. https://doi.org/10.1016/B978-0-12-387691-1.00009-0
Michalsky, T. (2020). Preservice teachers’ professional vision for and capacity to teach self-regulated learning: Effects of scaffolding level. Teachers College Record, 122(3). https://doi.org/10.1177/016146812012200310
Miller, K. A., Deci, E. L., & Ryan, R. M. (1988). Intrinsic Motivation and Self-Determination in Human Behavior. Contemporary Sociology. https://doi.org/10.2307/2070638
Ningsih, F. N. (2022). Analysis of Students ’ Concession Understanding Ability in Solving Physics Concepts. International Journal of Educationa and Teaching Zone, 1(1), 25–33.
Putra, M. I. J., Junaid, M., & Sulman, F. (2021). The Ability of the Question and Answer (Q&A) Method with the Help of Learning Videos against Student Learning Outcomes amid the Covid-19 Pandemic. EDUKATIF: Jurnal Ilmu Pendidikan, 3(5), 2160–2169. https://doi.org/https://doi.org/10.31004/edukatif.v3i5.768
Ramlo, S. (2008). Validity and reliability of the force and motion conceptual evaluation. American Journal of Physics, 76(9), 882–886. https://doi.org/10.1119/1.2952440
Reyza, M., Taqwa, A., Sulman, F., & Faizah, R. (2022). College Students ’ Conceptual Understanding of Force and Motion : Research Focus on Resource Theory College Students ’ Conceptual Understanding of Force and Motion : Research Focus on Resource Theory. Journal of Physics: Conference Series. https://doi.org/10.1088/1742-6596/2309/1/012073
Riduawan. (2018). Dasar-Dasar Statistika. Alfabeta.
Rozal, E., Ananda, R., Zb, A., Fauziddin, M., & Sulman, F. (2021). The Effect of Project-Based Learning through YouTube Presentations on English Learning Outcomes in Physics. AL-ISHLAH: Jurnal Pendidikan, 13(3), 1924–1933. https://doi.org/10.35445/alishlah.v13i3.1241
Smith, T. I., & Wittmann, M. C. (2008). Applying a resources framework to analysis of the Force and Motion Conceptual Evaluation. September, 1–12. https://doi.org/10.1103/PhysRevSTPER.4.020101
Smith, T. I., Wittmann, M. C., & Carter, T. (2014). Applying model analysis to a resource-based analysis of the Force and Motion Conceptual Evaluation. Physical Review Special Topics - Physics Education Research, 10(2), 1–17. https://doi.org/10.1103/PhysRevSTPER.10.020102
Sudijono, A. (2019). Pengantar Statistik Pendidikan. Raja Grafindo Persada.
Sulman, F. (2012). Pengaruh Model Kooperatif Tipe Problem Possing dan Motivasi Awal Siswa Kelas XI SMA Negeri 12 Padang.
Sulman, F. (2019). Application of Cooperative Problem Posing and Prior Motivation Towards Students Learning Outcomes. Indonesian Journal of Educational Research (IJER), 4(2), 93–96. https://doi.org/10.30631/ijer.v4i2.126
Sulman, F., Sutopo, S., & Kusairi, S. (2021). FMCE-PHQ-9 Assessment with Rasch Model in Detecting Concept Understanding , Cheating , and Depression amid the Covid-19 Pandemic. Tadris: Jurnal Keguruan Dan Ilmu Tarbiyah, 6(2), 297–309. https://doi.org/10.24042/tadris.v6i2.9273
Sulman, F., Tanti, T., Habibi, M., & Zb, A. (2021). Pengaruh Media Animasi Berkarakter Islami Terhadap Hasil Belajar Pengetahuan Bumi dan Antariksa. Edumaspul: Jurnal Pendidikan, 5(1), 135–146. https://doi.org/10.33487/edumaspul.v5i1.1044
Sulman, F., Taqwa, M. R. A., Aminah Zb, A. Z., Rafzan, R., & Fikri, A. (2020). The Effect of Mathematical Connections on the Mastery of Probability Material. Edumatika : Jurnal Riset Pendidikan Matematika, 3(2), 147–157. https://doi.org/10.32939/ejrpm.v3i2.645
Sulman, F., Yuliati, L., Kusairi, S., & Hidayat, A. (2022). Hybrid Learning Model : Its Impact on Mastery of Concepts and Self- Regulation in Newton ’ s Second Law Material. Kasuari: Physics Education Journal, 5(1), 65–74. https://doi.org/https://doi.org/10.37891/kpej.v5i1.273
Suri, A., Novriana, N., & Susanti, D. (2022). Improving Student Learning Outcomes With Educational Game-Based Interactive Learning Media. International Journal of Educationa and Teaching Zone, 1(1), 16–19.
Wan, L., Xie, S., & Shu, A. (2020). Toward an Understanding of University Students’ Continued Intention to Use MOOCs: When UTAUT Model Meets TTF Model. SAGE Open, 10(3). https://doi.org/10.1177/2158244020941858
Wells, J., Henderson, R., Stewart, J., Stewart, G., Yang, J., & Traxler, A. (2019). Exploring the structure of misconceptions in the Force Concept Inventory with modified module analysis. Physical Review Physics Education Research, 15(2), 20122. https://doi.org/10.1103/PhysRevPhysEducRes.15.020122
Zb, A., Novalian, D., Ananda, R., Habibi, M., & Sulman, F. (2021). DISTANCE LEARNING WITH STEAM APPROACHES: Is Effect On The Cognitive Domain? 6(2), 129–140.
Zb, A., Novalian, D., Rozal, E., Sulman, F., & Habibi, M. (2021). STEM Approach in Online Lectures: How Does it Contribute to Cognitive Aspects? Indonesian Journal of Science and Education, 5(2), 88–97. https://doi.org/10.31002/ijose.v5i2.4365
Zb, A., Setiawan, M. E., Rozal, E., & Sulman, F. (2021). Investigating Hybrid Learning Strategies: Does it Affect Creativity? Jurnal Kependidikan: Jurnal Hasil Penelitian Dan Kajian Kepustakaan Di Bidang Pendidikan, Pengajaran Dan Pembelajaran, 7(4), 868–875. https://doi.org/10.33394/jk.v7i4.4063
Zb, A., Setiawan, M. E., & Sulman, F. (2020). Pengaruh E-Learning Berbasis Schoology Berbantuan WhatsApp Group terhadap Hasil Belajar Ditengah Pandemi Covid-19. Al-Khidmah, 3(2), 55–60. https://doi.org/10.29406/al-khidmah.v3i2.2282
Zehirlioglu, L., & Mert, H. (2020). Validity and reliability of the Heart Disease Fact Questionnaire (HDFQ): a Rasch measurement model approach. Primary Care Diabetes, 14(2), 154–160. https://doi.org/10.1016/j.pcd.2019.06.006
Zhang, Y., & Zhang, Z. (2018). ‘Kexue Wenhua’ in Chinese and ‘Scientific Culture’, ‘Science Culture’, ‘Culture of Science’ and ‘Science as Culture’ in English: The Meanings and the Structure. Cultures of Science, 1(1), 25–37. https://doi.org/10.1177/209660831800100104
Zhou, R. (2022). Correlations Between Teaching and Scientific Research Ability and Professional Development of College Teachers. International Journal of Emerging Technologies in Learning (IJET), 17(11), 60–72. https://doi.org/10.3991/ijet.v17i11.32031
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 The (Author)s

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
























