Design of an electronic device in the STEAM context to relate results of physical measurements with sounds, and its analysis through science teachers' perception

João E. M. Perea Matins

doi:10.46661/ijeri.9391

Authors

João E. M. Perea Matins São Paulo State University (UNESP) https://orcid.org/0000-0003-1056-497X

DOI:

https://doi.org/10.46661/ijeri.9391

Keywords:

STEAM, Sensors, Arduino, Mathematical relationships, Technology, Digital skills, Educational technology, teachers training

Abstract

This work presents the design and details of an electronic system that uses software and hardware aspects to generate sound frequencies associated with the measurement of physical phenomena, such as temperature or other. It has potential to create fun and motivation activities in the classroom, encouraging the students to think about the association between scientific and technological aspects. It is based on a STEAM (Science, Technology, Engineering, Arts, and Mathematics) approach where an Arduino processing board measures a physical phenomenon value with a sensor, computes a mathematical relationship to define an associated sound frequency, and next sends an output signal to excite a speaker. The proposed electronic system is simple, but this subject may not be very familiar to many science teachers and, therefore, this article explains it step by step to allow its effective understanding and later usage in the classroom. Furthermore, this article also presents a discussion with science teachers in order to analyze their perception when they are challenged to understand and analyze the proposed system under a teaching perspective, which emphasized concernments such as the lack of training and materials, but positively indicates the proposal is feasible and has a satisfactory teaching potential.

Downloads

Download data is not yet available.

References

Akşan, E., & Eryilmaz, S. (2011). Why don’t mathematics teachers use instructional technology and materials in their courses? Procedia- Social and Behavioral Sciences, 15, 2471-2475. https://doi.org/10.1016/j.sbspro.2011.04.130

Aliyu, J., Osman, S., Daud, M. F., & Kumar, J. A. (2021). Mathematics teachers' pedagogy through technology: a systematic literature review. International Journal of Learning, Teaching and Educational Research, 20(1), 323-341, https://doi.org/10.26803/ijlter.20.1.18

Alves-Pereira, M., Rapley, B., Bakker, H., & Summers, R. (2019). Acoustics and biological structures. Z. Fellah & E. Ogam (Eds), Acoustics of Materials (1 22). IntechOpen, UK., https://doi.org/10.5772/intechopen.82761

Badia, A., & Iglesias, S. (2019). The science teacher identity and the use of technology in the classroom. Journal of Science Education and Technology, 28(3), 532-541. https://doi.org/10.1007/s10956-019-09784-w

Baecher L. & Chung S. (2020) Transformative professional development for in-service teachers through international service learning. Teacher Development, 24(1), 33-51. https://doi.org/10.1080/13664530.2019.1682033

Bashir, A., Alhammadi, M., Awawdeh, M., & Faisal, T. (2019). Effectiveness of using Arduino platform for the hybrid engineering education learning model. In: 2019 Advances in Science and Engineering Technology International Conferences (ASET), Dubai, United Arab Emirates, 1 6, https://doi.org/10.1109/ICASET.2019.8714438

Beardsley, M., Albó, L., Aragón, P., & Hernández-Leo, D. (2021). Emergency education effects on teacher abilities and motivation to use digital technologies. British Journal of Educational Technology, 52(3), 1455-1477, https://doi.org/10.1111/bjet.13101

Bers, M. U. (2019). Coding as another language: A pedagogical approach for teaching computer science in early childhood. Journal of Computers in Education, 6(4), 499-528, https://doi.org/10.1007/s40692-019-00147-3.

Budi, K. S., Muslim, S., & Santosa, A. B. (2019). Literature Study on the Influence of Arduino Microcontroller Trainer Media on Creative Thinking Level and Student Learning Outcomes in Microcontroller Learning. Proceedings of the International Symposium on Social Sciences, Education, and Humanities (ISSEH 2018). Atlantis Press. 90 94. https://doi.org/10.2991/isseh-18.2019.22

Carvalho, I. S. G. (2020). The construction of Digital Teaching Skills: A challenge for Teacher Training. In: Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality. 892-895. https://doi.org/10.1145/3434780.3436663

Chang, Yu-Shan, & Tsai, Meng-Chen (2021). Effects of design thinking on artificial intelligence learning and creativity. Educational Studies, 1-18, https://doi.org/10.1080/03055698.2021.1999213

Costa, S.C.; Fernandes, J.C. (2018) Listening to pH. Journal of Chemical Education. 96(2). 372-376. https://doi.org/10.1021/acs.jchemed.8b00641

Dagan, O. (2022). Student Teachers’ Mental Models of Everyday Adaptive Control Systems. In: Hallström, J., Williams, P.J. (Eds), Teaching and Learning about Technological Systems. Contemporary Issues in Technology Education. (171-192). Springer. https://doi.org/10.1007/978-981-16-7719-9_9

Deboer, G. E. (1991). A School Science Seeks its Own Identity. History of Ideas Science Education: Implications for Practice (first ed., chapter 6). Teachers College Press, USA.

Del Olmo-Muñoz, J., Bueno-Baquero, A., Cózar-Gutiérrez, R., & González-Calero, J. A. (2023), Exploring Gamification Approaches for Enhancing Computational Thinking in Young Learners. Education Sciences, 13(5). https://doi.org/10.3390/educsci13050487

Edwards, Chris. (2022). Self-Taught: Moving from a Seat-Time Model to a Mastery-Learning Model. Rowman & Littlefield, Lanham, Maryland, USA.

Eshach H., & Kukliansky, I. (2018). University Physics and Engineering Students’ Use of Intuitive Rules, Experience, and Experimental Errors and Uncertainties. Int. Journal of Science and Mathematics Education, 16(5), 817–834, https://doi.org/10.1007/s10763-017-9817-3

Garrido, N., Pitto-Barry, A., Soldevila-Barreda, J., Lupan, A., Boyes, L. C., Martin, W. H., & Barry, N. P. (2020). The sound of chemistry: Translating infrared wavenumbers into musical notes. Journal of Chemical Education, 97(3), 703-709. https://doi.org/10.1021/acs.jchemed.9b00775

Gómez, M.J., Calderón, M., Sánchez, V., Clemente, F.G, Ruipérez-Valiente J.A., (2022). Large scale analysis of open MOOC reviews to support learners’ course selection. Expert Systems with Applications, 210, 118400. https://doi.org/10.1016/j.eswa.2022.118400

Hammond, Debora (2019). The legacy of Ludwig von Bertalanffy and its relevance for our time. Systems Research and Behavioral Science, 36(3), 301 307. https://doi.org/10.1002/sres.2598

Kearney, M., Schuck, S., & Burden, K. (2022) Digital pedagogies for future school education: promoting inclusion, Irish Educational Studies, 41(1), 117-133, https://doi.org/10.1080/03323315.2021.2024446

Koehler, M. J., & Mishra, P. (2009). What is technological pedagogical content knowledge? Contemporary Issues in Technology and Teacher Education, 9(1), 60 70.

Leyesa, M. C., Mariano, O. R, &. Galvez, R. (2022). Project Cost Processing System for Electronics Systems Integrator. IEEE Region 10 Humanitarian Technology Conference (R10HTC) 2022, Hyderabad, India, 211-215. https://doi.org/10.1109/R10 HTC54060.2022.9929640.

Lodi, M., & Martini, S. (2021). Computational Thinking, Between Papert and Wing. Science & Education, 30(4), 883-908. https://doi.org/10.1007/s11191-021-00202-5

López-Poveda, E. A. (2014). Development of Fundamental Aspects of Human Auditory Perception. In Romand, R. &; Varela-Nieto (Eds) Development of Auditory and Vestibular Systems (4th ed, pp. 287-314. Academic Press, UK, https://doi.org/10.1016/B978-0-12-408088-1.00010-5

Lopresto, M. C. (2013). Using musical intervals to demonstrate superposition of waves and Fourier analysis. Physics Education, 48(5), 640, https://doi.org/10.1088/0031-9120/48/5/640

Lucardie, D. (2014). The impact of fun and enjoyment on adult's learning. Procedia Social and Behavioral Sciences, (142), 439-446. https://doi.org/10.1016/j.sbspro.2014.07.696

Muhazir, A., & Retnawati, H. (2020). The teachers’ obstacles in implementing technology in mathematics learning classes in the digital era. Journal of Physics: Conference Series. IOP Publishing, 012022. https://dx.doi.org/10.1088/1742-6596/1511/1/012022

Munukutla, S., Bertoy, A., Rush, S., & Ramamoorthy, A. (2022). Molecular music: a modern accompaniment to NMR pedagogy. Journal of Chemical Education, 99(2), 810-818, https://doi.org/10.1074/mcp.O113.030239

Negrete, J. C. (2023). Mechatronics in Agriculture and the Teaching of Mathematics. Research and Advances in Education, 2(7), 6-11. https://doi.org/10.56397/RAE.2023.07.02

Nordby, S. K., Bjerke, A. H., & Mifsud, L. (2022). Computational thinking in the primary mathematics classroom: A systematic review. Digital Experiences in Mathematics Education, 8(1), 27-49. https://doi.org/10.1007/s40751-022-00102-5

Novita, R., & Herman, T. (2021). Using technology in young children mathematical learning: A didactic perspective. Journal of Physics: Conference Series. IOP Publishing, 012013. https://doi.org/10.1088/1742-6596/1957/1/012013.

Orgill, Marykay; York, Sarah; Mackellar, Jennifer (2019). Introduction to systems thinking for the chemistry education community. Journal of Chemical Education, 96(12), 2720-2729, https://doi.org/10.1021/acs.jchemed.9b00169

Papert, S. (1980). Images of the Learning Society (chap. 8). In Mindstorms: children, computers, and powerful ideas. Basic Books Inc, USA.

Perea Martins, J.E.M. (2019). Introducing the concepts of measurement accuracy and precision in the classroom. Physics Education, 54(5), 055029. https://doi.org/10.1088/1361-6552/ab3143

Parhami, B. (2018). Computer Architecture for Big Data. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies (pp. 481–487). Springer, https://doi.org/10.1007/978-3-319-63962-8_164-1

Pienimäki, M., Kinnula, M., & Iivari, N. (2021). Finding fun in non-formal technology education. International Journal of Child-Computer Interaction, (29), 100283, https://doi.org/10.1016/j.ijcci.2021.100283

Posillico, J. J.; Edwards, D. J., Roberts, C., & Shelbourn, M. (2022). Curriculum development in the higher education literature: A synthesis focusing on construction management programmers. Industry and Higher Education, 36(4), 456–470. https://doi.org/10.1177/09504222211044894

Saubern, R., Urbach, D., Koehler, M., & Phillips, M. (2020). Describing increasing proficiency in teachers’ knowledge of the effective use of digital technology. Computers & Education, (147), 103784, https://doi.org/10.1016/j.compedu.2019.103784

Schina, D., Esteve-González, V. & Usart, M. (2021). An overview of teacher training programs in educational robotics: characteristics, best practices and recommendations. Education and Information Technologies, 26, 2831–2852. https://doi.org/10.1007/s10639-020-10377-z

Sek, A, & Moore, B.C. (1995). Frequency discrimination as a function of frequency, measured in several ways. The Journal of the Acoustical Society of America. 97(4), 2479-86, http://doi.org/10.1121/1.411968

Schoenfeld, A. H. (2020). Mathematical practices, in theory and practice. ZDM – Mathematics Education, 52(6), 1163-1175, https://doi.org/10.1007/s11858-020-01162-w

Szymkowiak, A., Melović, B., Dabić, M., Jeganathan, K., & Kundi. G. (2021). Information technology and Gen Z: The role of teachers, the internet, and technology in the education of young people. Technology in Society, (65), https://doi.org/10.1016/j.techsoc.2021.101565

Tican, C., & Deniz, S. (2019). Pre-service teachers’ opinions about the use of 21st century learner and 21st century teacher skills. European Journal of Educational Research, 8(1), 181-197, https://doi.org/10.12973/eu-jer.8.1.181

Triantafyllou, S. A., & Sapounidis, T. Game-based Learning approach and Serious Games to learn while you play. IEEE World Engineering Education Conference (EDUNINE 2023), Bogota, Colombia, 2023, pp. 1-6, https://doi.org/10.1109/EDUNINE57531.2023.10102872

Trna, J.; Trnova, E. (2015). Revival of Demonstration Experiments in Science Education. The Eurasia Proceedings of Educational & Social Sciences, (2), 49 56.

Tümkaya, G. S., & Miller, S. (2020). The perceptions of pre and in-service teachers' self-efficacy regarding inclusive practices: A systematised review. Ilkogretim Online - Elementary Education Online, 19(2),1061-1077. https://doi.org/10.17051/ilkonline.2020.696690

Weidlich, J., & Kalz, M. (2023). How well does teacher education prepare for teaching with technology? A TPACK-based investigation at a university of education. European Journal of Teacher Education, 1-21, https://doi.org/10.1080/02619768.2023.2243645

Wing, Jeannette M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215

Yao, G., Wang, J., Cui, B. I., Ma, Y. (2022). Quantifying effects of tasks on group performance in social learning. Humanities and Social Sciences Communications. 9(282), https://doi.org/10.1057/s41599-022-01305-2

Zha, X. (2021). Application of MATLAB Software in Higher Mathematics Teaching. International Conference on Forthcoming Networks and Sustainability in the IoT Era, Nicosia, Turkey, 261 266. https://doi.org/10.1007/978-3-030-99581-2

Zhang, Y. & Hao, C. (2016). Comparative Study of In-service Teacher Education between China and Germany. Educational Process: International Journal, 5(3), 212 - 222. http://dx.doi.org/10.12973/edupij.2016.53.3