A scoping review with bibliometric analysis of topic fluid in science education: State of the art and future directions
Abstract
The aim of this scoping review is to provide an overview of scoping reviews in the literature on the topic of fluid science education through bibliometric analysis. The data search was carried out based on the Scopus database, then limitations were carried out based on certain criteria to obtain 146 documents. Publications on this topic have increased, especially in 2019-2023*. Then the author with the most citations was published in an international journal indexed by Scopus with quartile 1. Based on visualization using VOSviewer, 4 clusters were obtained and based on research in the last 2 years, both static and dynamic fluids are often associated with teachers, senior high schools, teaching, student learning, online learning. This research is the basis for further research related to the topic of fluids in science education. For example, fluid topics are rarely studied at the university level.
References
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Agrawal, M., Thakur, M. G., Mahajan, D., & Chahar, T. S. (2018). Inbuilt hydraulic jack system for four wheelers:-A new trend in automobile sector. International Research Journal of Engineering and Technology, 5(2), 1386–1390.
Ansari, M., Gandhi, H. A., Foster, D. G., & White, A. D. (2022). Iterative symbolic regression for learning transport equations. AIChE Journal, 68(6), 17695.
Bhagavanulu, D. V. S. (2020). Innovative Class Room Activity with Flipped Teaching in Fluid Mechanics–A Case Study. Journal of Engineering Education Transformations, 33(Special Issue).
Boettcher, K. E., & Behr, A. S. (2021). Using virtual reality for teaching the derivation of conservation laws in fluid mechanics. Int. J. Eng. Pedagog, 11(4), 42–57.
Costa, S. L. R., Obara, C. E., & Broietti, F. C. D. (2020). Critical thinking in science education and mathematics education: research trends of 2010-2019. Research, Society and Development, 9(9), 115996706– 115996706.
Fatimawati, S., & Odja, A. H. (2020). The effectiveness of learning using social media to improve student’s communication skills in fluids’ topics. Journal of Physics: Conference Series, 1521(2), 22062.
Gamez‐Montero, P. J., Peña, M., & Olmedo‐Torre, N. (2021). Flipped learning and threshold concepts in the turbomachinery section of fluid engineering course. Computer Applications in Engineering Education, 29(4), 795–809.
Garcia, E. M. H. (2023). Project-Based Learning Success in Fundamentals of Fluid Mechanics. ASEE Annual Conference and Exposition, Conference Proceedings.
Gunawan, B., Ratmono, B. M., Abdullah, A. G., Sadida, N., & Kaprisma, H. (2022). Research mapping in the use of technology for fake news detection: Bibliometric analysis from 2011 to 2021. Indonesian Journal of Science and Technology, 7(3), 471–496.
Halim, A., Mahzum, E., & Humairah, H. (2020). Impact of the EduPlasa interactive media on reducing misconceptions of static fluid in high school students. Journal of Physics: Conference Series, 2, 22026.
Hamidah, I., Sriyono, & Hudha, M. N. (2020). A bibliometric analysis of covid-19 research using vosviewer. Indonesian Journal of Science and Technology, 5(2), 209–216.
Kariotoglou, P., & Psillos, D. (2019). Teaching and learning pressure and fluids. Fluids, 4(4), 194.
Kundu, P. K., Cohen, I. M., & Dowling, D. R. (2015). Fluid mechanics. Academic press.
Lori, N. F. (2011). On definitions of information in physics. Foundations of Science, 16, 311–314.
Maulik, R., Sharma, H., Patel, S., Lusch, B., & Jennings, E. (2021). A turbulent eddy-viscosity surrogate modeling framework for Reynolds-averaged Navier-Stokes simulations. Computers & Fluids, 227, 104777.
Mellu, R. N., Langtang, D., Olbata, Y., & Laos, L. E. (2022). Identification of misconceptions causes of misconceptions of prospective physics teacher candidate using a three-tier diagnostic test with CRI on kinematics of motion static fluids. AIP Conference Proceedings, 2542(1).
Minichiello, A., Armijo, D., Mukherjee, S., Caldwell, L., Kulyukin, V., Truscott, T., & Bhouraskar, A. (2021). Developing a mobile application‐based particle image velocimetry tool for enhanced teaching and learning in fluid mechanics: A design‐based research approach. Computer Applications in Engineering Education, 29(3), 517–537.
Misbah, M., Hamidah, I., Sriyati, S., & Samsudin, A. (2022). A bibliometric analysis: research trend of critical thinking in science education. Journal of Engineering Science and Technology, 17, 118–126.
Park, E. J., & Lee, S. (2022). Creative thinking in the architecture design studio: Bibliometric analysis and literature review. Buildings, 12(6), 828.
Parno, P., Kusairi, S., Wahyuni, D. R., & Ali, M. (2021). The effect of the STEM approach with the formative assessment in PBL on students’ problem solving skills on fluid static topic. Journal of Physics: Conference Series, 2098(1), 12025.
Parno, P., Yuliati, L., Nurazizah, S., & Ali, M. (2023). The effect of STEM approach in project based learning model on student’s problem solving skills on static fluid topic. AIP Conference Proceedings, 2614(1).
Pérez-Sánchez, M., & López-Jiménez, P. A. (2020). Continuous project-based learning in fluid mechanics and hydraulic engineering subjects for different degrees. Fluids, 5(2), 95.
Permana, G. A., Parno, P., Hidayat, A., & Ali, M. (2021). Improving creative thinking skill of fluid dynamic through IBL-STEM with formative assessment. AIP Conference Proceedings, 2330(1).
Permana, H., Bakri, F., Salsabila, I. H., Ambarwulan, D., Muliyati, D., & Sumardani, D. (2021). The development of augmented reality application to explore fluid concepts. Jurnal Penelitian & Pengembangan Pendidikan Fisika, 7(1), 53–60.
Rajagopal, K. R. (2015). Remarks on the notion of “pressure.” International Journal of Non-Linear Mechanics, 71, 165–172.
Saputra, N. A., Hamidah, I., & Setiawan, A. (2023). A bibliometric analysis of deep learning for education research. Journal of Engineering Science and Technology, 18(2), 1258–1276.
Saputra, O., Setiawan, A., & Rusdiana, D. (2020). Muslim. Analysis of students’ misconception using four tier diagnostic test on fluid topics. International Journal of Advanced Science and Technology, 29(1), 1256–1266.
Saregar, A., & Susanti, F. (2020). STEM-inquiry brainstorming: Critical and creative thinking skills in static fluid material. Periodico Thce Qumica, 17(36), 491–505.
Sari, Y. P., Serevina, V., & Astra, I. M. (2019). Developing E-Module for fluids based on problem-based learning (PBL) for senior high school students. Journal of Physics: Conference Series, 1185(1), 12052.
Smare, Z., & Elfatihi, M. (2023). A systematic review of research on creative thinking in primary education: Focus on empirical methodologies. Issues in Educational Research, 33(2), 752–780.
Soegoto, H., Soeryanto Soegoto, E., Luckyardi, S., & Abhi Rafdhi, A. (2022). A bibliometric analysis of management bioenergy research using vosviewer application. Indonesian Journal of Science and Technology, 7(1).
Sukariasih, L., Tahang, L., Nursalam, L. O., & Fayanto, S. (2020). Description of physics problem-solving in the topic of static fluid: Case study of physics education in Halu Oleo University. Universal Journal of Educational Research, 8(10), 4568–4579.
Susilawati, S., Satriawan, M., Rizal, R., & Sutarno, S. (2020). Fluid experiment design using video tracker and ultrasonic sensor devices to improve understanding of viscosity concept. Journal of Physics: Conference Series, 1521(2), 22039.
Syadzili, A. F. (2018). Guided Inquiry with Cognitive Conflict Strategy: Drilling Indonesian High School Students’ Creative Thinking Skills. Journal of Physics: Conference Series, 947(1), 12046.
Syafei, I., Saregar, A., Thahir, A., Sari, P. M., & Anugrah, A. (2020). E-learning with STEM-Based Schoology on Static Fluid Material. Journal of Physics: Conference Series, 1467.
Utami, N., Setiawan, A., & Hamidah, I. (2023). A bibliometric analysis of augmented reality in higher education. Journal of Engineering Science and Technology, 18(3), 1599–1613.
Wandel, N., Weinmann, M., & Klein, R. (2020). Learning incompressible fluid dynamics from scratch--towards fast, differentiable fluid models that generalize (p. arXiv preprint arXiv:2006.08762).
Zeng, Q., Gao, Y., Guan, K., Liu, J., & Feng, Z. (2021). Machine learning and a computational fluid dynamic approach to estimate phase composition of chemical vapor deposition boron carbide. Journal of Advanced Ceramics, 10(3), 537–550.
Zhao, Y., Flanagan, E., Abbasi, H., Black, K., Wang, X., & Cardona, A. (2019). Development of a virtual lab in assistance of a fluid mechanics laboratory instruction. In ASME International Mechanical Engineering CongreZhao, Y., Flanagan, E., Abbasi, H., Black, K., Wang, X., & Cardona, A. (n.d.). Development of a virtual lab in assistance of a fluid mechanics laboratory instruction. In ASME International Mechanical Enginee (Vols. 59421, V00). American Society of Mechanical Engineers.
Zhao, Y., Zhong, C., Wang, F., & Wang, Y. (2022). Visual explainable convolutional neural network for aerodynamic coefficient prediction. International Journal of Aerospace Engineering.
Agrawal, M., Thakur, M. G., Mahajan, D., & Chahar, T. S. (2018). Inbuilt hydraulic jack system for four wheelers:-A new trend in automobile sector. International Research Journal of Engineering and Technology, 5(2), 1386–1390.
Ansari, M., Gandhi, H. A., Foster, D. G., & White, A. D. (2022). Iterative symbolic regression for learning transport equations. AIChE Journal, 68(6), 17695.
Bhagavanulu, D. V. S. (2020). Innovative Class Room Activity with Flipped Teaching in Fluid Mechanics–A Case Study. Journal of Engineering Education Transformations, 33(Special Issue).
Boettcher, K. E., & Behr, A. S. (2021). Using virtual reality for teaching the derivation of conservation laws in fluid mechanics. Int. J. Eng. Pedagog, 11(4), 42–57.
Costa, S. L. R., Obara, C. E., & Broietti, F. C. D. (2020). Critical thinking in science education and mathematics education: research trends of 2010-2019. Research, Society and Development, 9(9), 115996706– 115996706.
Fatimawati, S., & Odja, A. H. (2020). The effectiveness of learning using social media to improve student’s communication skills in fluids’ topics. Journal of Physics: Conference Series, 1521(2), 22062.
Gamez‐Montero, P. J., Peña, M., & Olmedo‐Torre, N. (2021). Flipped learning and threshold concepts in the turbomachinery section of fluid engineering course. Computer Applications in Engineering Education, 29(4), 795–809.
Garcia, E. M. H. (2023). Project-Based Learning Success in Fundamentals of Fluid Mechanics. ASEE Annual Conference and Exposition, Conference Proceedings.
Gunawan, B., Ratmono, B. M., Abdullah, A. G., Sadida, N., & Kaprisma, H. (2022). Research mapping in the use of technology for fake news detection: Bibliometric analysis from 2011 to 2021. Indonesian Journal of Science and Technology, 7(3), 471–496.
Halim, A., Mahzum, E., & Humairah, H. (2020). Impact of the EduPlasa interactive media on reducing misconceptions of static fluid in high school students. Journal of Physics: Conference Series, 2, 22026.
Hamidah, I., Sriyono, & Hudha, M. N. (2020). A bibliometric analysis of covid-19 research using vosviewer. Indonesian Journal of Science and Technology, 5(2), 209–216.
Kariotoglou, P., & Psillos, D. (2019). Teaching and learning pressure and fluids. Fluids, 4(4), 194.
Kundu, P. K., Cohen, I. M., & Dowling, D. R. (2015). Fluid mechanics. Academic press.
Lori, N. F. (2011). On definitions of information in physics. Foundations of Science, 16, 311–314.
Maulik, R., Sharma, H., Patel, S., Lusch, B., & Jennings, E. (2021). A turbulent eddy-viscosity surrogate modeling framework for Reynolds-averaged Navier-Stokes simulations. Computers & Fluids, 227, 104777.
Mellu, R. N., Langtang, D., Olbata, Y., & Laos, L. E. (2022). Identification of misconceptions causes of misconceptions of prospective physics teacher candidate using a three-tier diagnostic test with CRI on kinematics of motion static fluids. AIP Conference Proceedings, 2542(1).
Minichiello, A., Armijo, D., Mukherjee, S., Caldwell, L., Kulyukin, V., Truscott, T., & Bhouraskar, A. (2021). Developing a mobile application‐based particle image velocimetry tool for enhanced teaching and learning in fluid mechanics: A design‐based research approach. Computer Applications in Engineering Education, 29(3), 517–537.
Misbah, M., Hamidah, I., Sriyati, S., & Samsudin, A. (2022). A bibliometric analysis: research trend of critical thinking in science education. Journal of Engineering Science and Technology, 17, 118–126.
Park, E. J., & Lee, S. (2022). Creative thinking in the architecture design studio: Bibliometric analysis and literature review. Buildings, 12(6), 828.
Parno, P., Kusairi, S., Wahyuni, D. R., & Ali, M. (2021). The effect of the STEM approach with the formative assessment in PBL on students’ problem solving skills on fluid static topic. Journal of Physics: Conference Series, 2098(1), 12025.
Parno, P., Yuliati, L., Nurazizah, S., & Ali, M. (2023). The effect of STEM approach in project based learning model on student’s problem solving skills on static fluid topic. AIP Conference Proceedings, 2614(1).
Pérez-Sánchez, M., & López-Jiménez, P. A. (2020). Continuous project-based learning in fluid mechanics and hydraulic engineering subjects for different degrees. Fluids, 5(2), 95.
Permana, G. A., Parno, P., Hidayat, A., & Ali, M. (2021). Improving creative thinking skill of fluid dynamic through IBL-STEM with formative assessment. AIP Conference Proceedings, 2330(1).
Permana, H., Bakri, F., Salsabila, I. H., Ambarwulan, D., Muliyati, D., & Sumardani, D. (2021). The development of augmented reality application to explore fluid concepts. Jurnal Penelitian & Pengembangan Pendidikan Fisika, 7(1), 53–60.
Rajagopal, K. R. (2015). Remarks on the notion of “pressure.” International Journal of Non-Linear Mechanics, 71, 165–172.
Saputra, N. A., Hamidah, I., & Setiawan, A. (2023). A bibliometric analysis of deep learning for education research. Journal of Engineering Science and Technology, 18(2), 1258–1276.
Saputra, O., Setiawan, A., & Rusdiana, D. (2020). Muslim. Analysis of students’ misconception using four tier diagnostic test on fluid topics. International Journal of Advanced Science and Technology, 29(1), 1256–1266.
Saregar, A., & Susanti, F. (2020). STEM-inquiry brainstorming: Critical and creative thinking skills in static fluid material. Periodico Thce Qumica, 17(36), 491–505.
Sari, Y. P., Serevina, V., & Astra, I. M. (2019). Developing E-Module for fluids based on problem-based learning (PBL) for senior high school students. Journal of Physics: Conference Series, 1185(1), 12052.
Smare, Z., & Elfatihi, M. (2023). A systematic review of research on creative thinking in primary education: Focus on empirical methodologies. Issues in Educational Research, 33(2), 752–780.
Soegoto, H., Soeryanto Soegoto, E., Luckyardi, S., & Abhi Rafdhi, A. (2022). A bibliometric analysis of management bioenergy research using vosviewer application. Indonesian Journal of Science and Technology, 7(1).
Sukariasih, L., Tahang, L., Nursalam, L. O., & Fayanto, S. (2020). Description of physics problem-solving in the topic of static fluid: Case study of physics education in Halu Oleo University. Universal Journal of Educational Research, 8(10), 4568–4579.
Susilawati, S., Satriawan, M., Rizal, R., & Sutarno, S. (2020). Fluid experiment design using video tracker and ultrasonic sensor devices to improve understanding of viscosity concept. Journal of Physics: Conference Series, 1521(2), 22039.
Syadzili, A. F. (2018). Guided Inquiry with Cognitive Conflict Strategy: Drilling Indonesian High School Students’ Creative Thinking Skills. Journal of Physics: Conference Series, 947(1), 12046.
Syafei, I., Saregar, A., Thahir, A., Sari, P. M., & Anugrah, A. (2020). E-learning with STEM-Based Schoology on Static Fluid Material. Journal of Physics: Conference Series, 1467.
Utami, N., Setiawan, A., & Hamidah, I. (2023). A bibliometric analysis of augmented reality in higher education. Journal of Engineering Science and Technology, 18(3), 1599–1613.
Wandel, N., Weinmann, M., & Klein, R. (2020). Learning incompressible fluid dynamics from scratch--towards fast, differentiable fluid models that generalize (p. arXiv preprint arXiv:2006.08762).
Zeng, Q., Gao, Y., Guan, K., Liu, J., & Feng, Z. (2021). Machine learning and a computational fluid dynamic approach to estimate phase composition of chemical vapor deposition boron carbide. Journal of Advanced Ceramics, 10(3), 537–550.
Zhao, Y., Flanagan, E., Abbasi, H., Black, K., Wang, X., & Cardona, A. (2019). Development of a virtual lab in assistance of a fluid mechanics laboratory instruction. In ASME International Mechanical Engineering CongreZhao, Y., Flanagan, E., Abbasi, H., Black, K., Wang, X., & Cardona, A. (n.d.). Development of a virtual lab in assistance of a fluid mechanics laboratory instruction. In ASME International Mechanical Enginee (Vols. 59421, V00). American Society of Mechanical Engineers.
Zhao, Y., Zhong, C., Wang, F., & Wang, Y. (2022). Visual explainable convolutional neural network for aerodynamic coefficient prediction. International Journal of Aerospace Engineering.
Authors
Misbah, M., Hamidah, I., Sriyati, S., & Samsudin, A. (2024). A scoping review with bibliometric analysis of topic fluid in science education: State of the art and future directions. Momentum: Physics Education Journal, 8(1), 144–153. https://doi.org/10.21067/mpej.v8i1.9334
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