CHATGPT IN TEACHING PHYSICS HANDS-ON EXPERIMENTS IN PRIMARY SCHOOL

Authors

  • Konstantinos T. Kotsis Department of Primary Education, University of Ioannina, Greece

DOI:

https://doi.org/10.46827/ejes.v11i10.5549

Keywords:

ChatGPT, primary school, physics education, hands-on experiments

Abstract

This study explores the incorporation of artificial intelligence, specifically ChatGPT, to enhance the teaching of physics to primary school students. Using AI-driven simulations and interactive learning activities, the research demonstrates how these tools can convert abstract physics concepts into concrete educational experiences. The results suggest that ChatGPT promotes student involvement, inquisitiveness, and analytical thinking by offering personalized feedback and encouraging practical learning tasks. ChatGPT also significantly contributes to nurturing a positive attitude towards learning physics. ChatGPT helps students overcome the perceived challenges of the subject by providing instant feedback and clarification on physics principles, fostering a more enjoyable learning experience. The investigation underscores the importance of connecting theoretical understanding with real-world application through AI-supported experiments, reinforcing comprehension and nurturing a deeper understanding of the natural world. Additionally, the paper emphasizes the necessity for continuous evaluation of student engagement and academic achievements to gauge the impact of AI in the educational field. This ongoing assessment is crucial for understanding AI's effectiveness in education and making informed decisions about its future use. The study also addresses moral considerations related to data privacy and algorithm biases, highlighting the crucial need for ethical AI deployment in educational contexts. By stressing the importance of ethical AI deployment, the study aims to reassure the audience about the responsible use of technology in education. In conclusion, the study asserts that when integrated thoughtfully, ChatGPT can greatly enhance the educational environment, making physics more accessible and enjoyable for young students while preparing them for future scientific pursuits.

 

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Author Biography

  • Konstantinos T. Kotsis, Department of Primary Education, University of Ioannina, Greece

    Konstantinos T. Kotsis is a Professor in the Department of Primary Education at the University of Ioannina, Greece. His field is the Didactics of Physics, Science Education, and Teacher Training. ORCID: https://orcid.org/0000-0003-1548-0134

References

Ali, O., Murray, P. A., Momin, M., & Al-Anzi, F. S. (2023). The knowledge and innovation challenges of ChatGPT: A scoping review. Technology in Society, 75, 102402. https://doi.org/10.1016/j.techsoc.2023.102402

Altmeyer, K., Kapp, S., Thees, M., Malone, S., Kuhn, J., & Brünken, R. (2020). The use of augmented reality to foster conceptual knowledge acquisition in STEM laboratory courses—Theoretical background and empirical results. British Journal of Educational Technology, 51(3), 611-628. https://doi.org/10.1111/bjet.12900

Ananikov, V. P. (2024). Top 20 Influential AI-Based Technologies in Chemistry. Artificial Intelligence Chemistry, 100075. https://doi.org/10.1016/j.aichem.2024.100075

Atlas, S. (2023). ChatGPT for higher education and professional development: A guide to conversational AI. Retrieved from https://digitalcommons.uri.edu/cba_facpubs/548

Barak, M. (2017). Science teacher education in the twenty-first century: A pedagogical framework for technology-integrated social constructivism. Research in Science Education, 47, 283-303. https://doi.org/10.1007/s11165-015-9501-y

Bizami, N. A., Tasir, Z., & Kew, S. N. (2023). Innovative pedagogical principles and technological tools capabilities for immersive, blended learning: a systematic literature review. Education and Information Technologies, 28(2), 1373-1425. https://doi.org/10.1007/s10639-022-11243-w

Chou, C. M., Shen, T. C., Shen, T. C., & Shen, C. H. (2022). Influencing factors on students’ learning effectiveness of AI-based technology application: Mediation variable of the human-computer interaction experience. Education and Information Technologies, 27(6), 8723-8750. https://doi.org/10.1007/s10639-021-10866-9

D’Mello, S., Dieterle, E., & Duckworth, A. (2017). Advanced, Analytic, Automated (AAA) Measurement of Engagement During Learning. Educational Psychologist, 52(2), 104–123. https://doi.org/10.1080/00461520.2017.1281747

ElSayary, A. (2024). An investigation of teachers' perceptions of using ChatGPT as a supporting tool for teaching and learning in the digital era. Journal of Computer Assisted Learning, 40(3), 931-945. https://doi.org/10.1111/jcal.12926

Fazio, C., & Logman, P. (Eds.). (2024). Physics Education Today: Innovative Methodologies, Tools and Evaluation. Springer Nature.

Graefen, B., & Fazal, N. (2024). From Chat bots to Virtual Tutors: An Overview of Chat GPT's Role in the Future of Education. Archives of Pharmacy Practice, 15(2), 43-52. https://doi.org/10.51847/TOuppjEDSX

Gunawan, J., Aungsuroch, Y., & Montayre, J. (2024). ChatGPT integration within nursing education and its implications for nursing students: A systematic review and text network analysis. Nurse Education Today, 141, 106323. https://doi.org/10.1016/j.nedt.2024.106323

Hadi Mogavi, R., Deng, C., Juho Kim, J., Zhou, P., D. Kwon, Y., Hosny Saleh Metwally, A., Tlili, A., Bassanelli, S., Bucchiarone, A., Gujar, S., Nacke, L. E., & Hui, P. (2023). ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions. Computers in Human Behavior: Artificial Humans, 2(1), 100027. https://doi.org/10.1016/j.chbah.2023.100027

Hammer, E. (2024). ChatGPT in the Classroom: The Teacher's Challenges and Opportunities in an AI Revolution. Retrieved from https://hdl.handle.net/11250/3139468

Hostetter, H., Naser, M., Huang, X., & Gales, J. (2024). The role of large language models (AI chatbots) in fire engineering: An examination of technical questions against domain knowledge. Natural Hazards Research. https://doi.org/10.1016/j.nhres.2024.06.003

Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Khan, I. H. (2023). Unlocking the opportunities through ChatGPT Tool towards ameliorating the education system. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 3(2), 100115. https://doi.org/10.1016/j.tbench.2023.100115

Koltovskaia, S., Rahmati, P., & Saeli, H. (2024). Graduate students’ use of ChatGPT for academic text revision: Behavioral, cognitive, and affective engagement. Journal of Second Language Writing, 65, 101130. https://doi.org/10.1016/j.jslw.2024.101130

Kotsis, K. T. (2024a). Integration of Artificial Intelligence in Science Teaching in Primary Education: Applications for Teachers. European Journal of Contemporary Education and E-Learning, 2(3), 27-43. https://doi.org/10.59324/ejceel.2024.2(3).04

Kotsis, K. T. (2024b). ChatGPT Develops Physics Experiment Worksheets for Primary Education Teachers. European Journal of Education Studies, 11(5). 1-20. http://dx.doi.org/10.46827/ejes.v11i5.5274

Kotsis, K. T. (2024c). Correcting Students’ Misconceptions in Physics Using Experiments Designed by ChatGPT. European Journal of Contemporary Education and E-Learning, 2(2), 83-100. https://doi.org/10.59324/ejceel.2024.2(2).07

Kotsis, K. T. (2024d). Artificial Intelligence Creates Fairy Tales for Physics Teaching in Primary Education. European Journal of Open Education and E-learning Studies, 9(1), 1-16. http://dx.doi.org/10.46827/ejoe.v9i1.5250

Leelavathi, R., & Surendhranatha, R. C. (2024). ChatGPT in the classroom: navigating the generative AI wave in management education. Journal of Research in Innovative Teaching & Learning. https://doi.org/10.1108/JRIT-01-2024-0017

Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI conference on human factors in computing systems (pp. 1-16). https://doi.org/10.1145/3313831.3376727

Miao, F., Holmes, W., Huang, R., & Zhang, H. (2021). AI and education: A guidance for policymakers. UNESCO Publishing.

Opara, E., Mfon-Ette Theresa, A., & Aduke, T. C. (2023). ChatGPT for teaching, learning and research: Prospects and challenges. Opara Emmanuel Chinonso, Adalikwu Mfon-Ette Theresa, Tolorunleke Caroline Aduke (2023). ChatGPT for Teaching, Learning and Research: Prospects and Challenges. Glob Acad J Humanit Soc Sci, 5(2), pp- 33-40, Available at SSRN: https://ssrn.com/abstract=4375470

Ostroff, W. L. (2016). Cultivating curiosity in K-12 classrooms: How to promote and sustain deep learning. ASCD. Retrieved from https://files.ascd.org/staticfiles/ascd/pdf/siteASCD/publications/books/Cultivating-Curiosity-in-K-12-Classrooms-sample-chapters.pdf

Parsons, J., & Taylor, L. (2011). Improving Student Engagement. Current Issues in Education, 14(1). Retrieved from https://cie.asu.edu/ojs/index.php/cieatasu/article/view/745

Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2009). Learning Styles. Psychological Science in the Public Interest. https://doi.org/10.1111/j.1539-6053.2009.01038.x

Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. Retrieved from https://hdl.handle.net/20.500.12799/6533

Ramprakash, B., Nithyakala, G., Bhumika, K., & Avanthika, S. (2024). Comparing Traditional Instructional Methods to ChatGPT: A Comprehensive Analysis. Journal of Engineering Education Transformations, 37. https://doi.org/10.16920/jeet/2024/v37is2/24095

Rasul, T., Nair, S., Kalendra, D., Robin, M., de Oliveira Santini, F., Ladeira, W. J., ... & Heathcote, L. (2023). The role of ChatGPT in higher education: Benefits, challenges, and future research directions. Journal of Applied Learning and Teaching, 6(1), 41-56. https://doi.org/10.37074/jalt.2023.6.1.29

Riemer, K., & Peter, S. (2024). Conceptualizing generative AI as style engines: Application archetypes and implications. International Journal of Information Management, 79, 102824. https://doi.org/10.1016/j.ijinfomgt.2024.102824

Shrestha, P. S., Perlman, T. T., & Shaver, S. R. (2023). Addressing Learning Difficulties in Junior High School Physics Education: Insights for Curriculum Development and Teaching Strategies. Jurnal Ilmu Pendidikan Dan Humaniora, 12(2), 108–120. https://doi.org/10.35335/jiph.v12i2.35

Sinaga, P., Setiawan, W., & Liana, M. (2022). The impact of electronic interactive teaching materials (EITMs) in e-learning on junior high school students’ critical thinking skills. Thinking Skills and Creativity, 46, 101066. https://doi.org/10.1016/j.tsc.2022.101066

Streit-Bianchi, M., Michelini, M., Bonivento, W., & Tuveri, M. (Eds.). (2023). New Challenges and Opportunities in Physics Education. Springer. Retrieved from https://link.springer.com/book/10.1007/978-3-031-37387-9

Wu, H., Kuo, Y., Wu, K., Jen, H., & Hsu, S. (2018). Learning benefits of secondary school students' inquiry-related curiosity: A cross-grade comparison of the relationships among learning experiences, curiosity, engagement, and inquiry abilities. Science Education, 102(5), 917-950. https://doi.org/10.1002/sce.21456

Yannier, N., Hudson, S. E., Koedinger, K. R., Hirsh-Pasek, K., Golinkoff, R. M., Munakata, Y., Doebel, S., Schwartz, D. L., Deslauriers, L., McCarty, L., Callaghan, K., Theobald, E. J., Freeman, S., Cooper, K. M., & Brownell, S. E. (2021). Active learning: “Hands-on” meets “minds-on”. Science. https://doi.org/10.1126/science.abj9957

Yu, H. (2023). Reflection on whether Chat GPT should be banned by academia from the perspective of education and teaching. Frontiers in Psychology, 14, 1181712. https://doi.org/10.3389/fpsyg.2023.1181712

Yu, P., Mulli, J., Syed, Z. A. S., & Umme, L. (Eds.). (2023). Facilitating Global Collaboration and Knowledge Sharing in Higher Education with Generative AI. IGI Global. Retrieved from https://www.igi-global.com/book/facilitating-global-collaboration-knowledge-sharing/322784

Zimmerman, M. (2018). Teaching AI: Exploring new frontiers for learning. International society for technology in education. Retrieved from https://www.perlego.com/book/885665/teaching-ai-exploring-new-frontiers-for-learning-pdf?utm_source=google&utm_medium=cpc&campaignid=20933451054&adgroupid=162926082692&gad_source=1&gclid=EAIaIQobChMIma_-v8aIiAMVjJKDBx0E4ho7EAAYASAAEgIc9PD_BwE

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Published

2024-08-25

Issue

Vol. 11 No. 10 (2024)

Section

Articles

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