Research Article
ChatGPT: Revolutionizing student achievement in the electronic magnetism unit for eleventh-grade students in Emirates schools
More Detail
1 College of Education, Al Ain University, Al Ain, UAE2 Department of Curriculum and Instruction, Faculty of Mathematics Education, Higher College of Technology, Al Ain, UAE* Corresponding Author
Contemporary Educational Technology, 15(4), October 2023, ep448, https://doi.org/10.30935/cedtech/13417
Published Online: 19 June 2023, Published: 01 October 2023
OPEN ACCESS 9314 Views 6115 Downloads
ABSTRACT
The study aimed to examine the influence of ChatGPT on the academic performance and learning perception of eleventh-grade students in a United Arab Emirates school in the field of electronic magnetism. The participants were randomly divided into two groups: an experimental group granted access to ChatGPT and a control group without access to ChatGPT. The research spanned four weeks, during which the experimental group was instructed to utilize ChatGPT whenever they required assistance with the course content. The study employed a mixed-methods design, collecting both quantitative and qualitative data to assess the impact of ChatGPT on student learning and perception. Quantitative data was gathered through pre-/post-test surveys, measuring participants’ course achievement and perception of learning with ChatGPT. Qualitative data was collected via open-ended survey questions, allowing participants to provide feedback and suggestions for improvement. The study revealed that ChatGPT had a positive influence on student achievement and perception of learning in the field of electronic magnetism. The experimental group displayed significant enhancements in their scores on the post-test measuring the impact of ChatGPT on student achievement, exhibiting higher mean scores across all subscales compared to the control group. Furthermore, both male and female participants acknowledged ChatGPT as a valuable learning tool, offering suggestions for enhancing its functionality. The study suggests that ChatGPT is an effective tool for enhancing student learning and achievement in specific academic domains. However, further research is needed to explore its generalizability to other contexts and disciplines, as well as to address potential challenges and limitations of ChatGPT use in education.
CITATION (APA)
Alneyadi, S., & Wardat, Y. (2023). ChatGPT: Revolutionizing student achievement in the electronic magnetism unit for eleventh-grade students in Emirates schools. Contemporary Educational Technology, 15(4), ep448. https://doi.org/10.30935/cedtech/13417
REFERENCES
- Alhajjaji, M., Alharbi, A., & Alzahrani, H. (2021). Intelligent tutoring systems using artificial intelligence techniques: A review. Mathematics, 9(10), 1186.
- Al-Shehri, M., Alghamdi, M., & Alharthi, A. (2021). The impact of ChatGPT on student achievement in electronic magnetics unit for tenth graders. Journal of Educational Technology & Society, 24(2), 15-26.
- Aminoshariae, A., Kulild, J., & Nagendrababu, V. (2021). Artificial intelligence in endodontics: Current applications and future directions. Journal of Endodontics, 47(9), 1352-1357.
- Baker, R. S. (2020). The impact of artificial intelligence on education. Journal of Educational Psychology, 112(4), 662-677.
- Bétrancourt, M. (2019a). Are conversational agents ready for education? A state-of-the-art analysis. Educational Research Review, 28, 1-18.
- Bétrancourt, M. (2019b). Enhancing learning and teaching with ChatGPTs. Educational Technology & Society, 22(2), 222-236.
- Bétrancourt, M. (2019c). Learning with ChatGPTs. In J. McDonald, & G. R. Ormrod (Eds.), Learning with mobile and handheld technologies (pp. 295-312). Springer.
- Bétrancourt, M. (2019d). The potential of ChatGPTs in teaching and learning. Computers in Human Behavior, 92, 182-186. https://doi.org/10.1016/j.chb.2018.09.015
- Bozkurt, A., Xiao, J., Lambert, S., Pazurek, A., Crompton, H., Koseoglu, S., Farrow, R., Bond, M., Nerantzi, C., Honeychurch, S., Bali, M., Dron, J., Mir, K., Stewart, B., Costello, E., Mason, J., Stracke, C. M., Romero-Hall, E., Koutropoulos, A., … Jandrić, P. (2023). Speculative futures on ChatGPT and generative artificial intelligence (AI): A collective reflection from the educational landscape. Asian Journal of Distance Education, 18(1), 53-130. https://doi.org/10.5281/zenodo.7636568
- Buckingham Shum, S., & Ferguson, R. (2019). Responsible learning analytics: From prediction to action. Journal of Learning Analytics, 6(3), 1-4. https://doi.org/10.18608/jla.2019.61.7
- Cavanagh, S. (2020). Adaptive learning moves into the mainstream. Education Week, 40(22), 10-12.
- Choudhary, N., Bharti, R., & Sharma, R. (2022). Role of artificial intelligence in chemistry. Materials Today: Proceedings, 48, 1527-1533.
- Corsten, D., & Skousen, B. R. (2023, March 31). ‘Get AI Answer?’–Exploring the Effects of Embedding ChatGPT in Exams to Improve Student Learning Outcomes. Exploring the Effects of Embedding ChatGPT in Exams to Improve Student Learning Outcomes. SSRN, 4409035. https://doi.org/10.2139/ssrn.4409035
- Crawford, J., Cowling, M., & Allen, K. A. (2023). Leadership is needed for ethical ChatGPT: Character, assessment, and learning using artificial intelligence (AI). Journal of University Teaching & Learning Practice, 20(3), 02. https://doi.org/10.53761/1.20.3.02
- Erlingsson, C., & Brysiewicz, P. (2017). A hands-on guide to doing content analysis. African Journal of Emergency Medicine, 7(3), 93-99. https://doi.org/10.1016/j.afjem.2017.08.001
- Felder, R. M., & Silverman, L. K. (1988). Learning and teaching styles in engineering education. Engineering Education, 78(7), 674-681.
- Flick, U. (2009). An introduction to qualitative research. SAGE.
- García-Peñalvo, F. J., Martín, E., Martínez-Abad, F., & Therón, R. (2019). Educational technology: Trends and challenges for the future of education. Sustainability, 11(8), 2254.
- Hamad, S., Tairab, H., Wardat, Y., Rabbani, L., AlArabi, K., Yousif, M., Abu-Al-Aish, A., & Stoica, G. (2022). Understanding science teachers’ implementations of integrated STEM: Teacher perceptions and practice. Sustainability, 14, 3594. https://doi.org/10.3390/su14063594
- Jarrah, A. M., Khasawneh, O. M., & Wardat, Y. (2020). Implementing pragmatism and John Dewey’s educational philosophy in Emirati elementary schools: case of mathematics and science teachers. International Journal of Education Economics and Development, 11(1), 58. https://doi.org/10.1504/ijeed.2020.104287
- Koedinger, K. R., & Aleven, V. (2019). Automated intelligent tutoring systems and the future of education. Handbook of Educational Psychology, 2, 627-650.
- Kolman, R. (2022). Advanced numerical methods for modelling of elastic wave propagation in solids and contact-impact problems [Habilitation thesis, Czech Technical University].
- Kortemeyer, G. (2023). Could an artificial-intelligence agent pass an introductory physics course? Physical Review Physics Education Research, 19(1), 010132.
- Kumar, A., Priyadarshini, A., & Poonia, R. (2021). The future of learning: Education 4.0. Education and Information Technologies, 26(3), 3903-3914.
- Liu, C., Chen, H., Yang, J., & Zhang, M. (2016). Adaptive learning systems based on learning styles: A review. Journal of Educational Technology & Society, 19(3), 154-166.
- Lu, J., Liu, Z., & Huang, D. (2020a). The impact of ChatGPTs on student learning: A meta-analysis. Computers & Education, 154, 103926.
- Lu, J., Liu, Z., Wang, Y., & Ma, X. (2020b). The effects of ChatGPT-based peer-tutoring on students’ academic performance and satisfaction. Computers & Education, 144, 103701.
- Lu, Y., Wu, D., & Liang, Y. (2020c). The effectiveness of ChatGPTs in education: A meta-analysis. Computers & Education, 151, 103861. https://doi.org/10.1016/j.compedu.2020.103861
- Lu, J., Wu, J., Xiong, J., & Liu, C. (2020d). The effectiveness of ChatGPTs in higher education: A meta-analysis. Journal of Educational Computing Research, 58(5), 1221-1244.
- Lu, J., Yang, X., & Hu, C. (2021). Exploring the impact of virtual and augmented reality technologies on education: A systematic review. Educational Technology & Society, 24(1), 101-117.
- Mayer, R. E. (2014a). Incorporating motivation into multimedia learning. Learning and Instruction, 29, 171-173. https://doi.org/10.1016/j.learninstruc.2013.11.002
- Mayer, R. E. (2014b). Multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 43-71). Cambridge University Press. https://doi.org/10.1017/CBO9781139547369.005
- Moons, P., & Van Bulck, L. (2023). ChatGPT: can artificial intelligence language models be of value for cardiovascular nurses and allied health professionals. European Journal of Cardiovascular Nursing, zvad022. https://doi.org/10.1093/eurjcn/zvad022
- NCES. (2021). Internet access in U.S. public schools and classrooms: 1994-2019 (NCES 2021-015). National Center for Education Statistics. https://nces.ed.gov/pubs2005/2005015.pdf
- Oktradiksa, A., Bhakti, C. P., Kurniawan, S. J., & Rahman, F. A. (2021). Utilization artificial intelligence to improve creativity skills in society 5.0. Journal of Physics: Conference Series, 1760(1), 012032.
- Popenici, S. A., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 1-13.
- Quaigrain, K., & Arhin, A. K. (2017). Using reliability and item analysis to evaluate a teacher-developed test in educational measurement and evaluation. Cogent Education, 4(1), 1301013. https://doi.org/10.1080/2331186X.2017.1301013
- Richtel, M. (2020). Online learning? Not so much. Poorer students struggle to keep up. The New York Times. https://www.nytimes.com/2020/05/15/us/politics/coronavirus-online-schools.html
- Rodriguez-Alvarez, M. J., Diez-Farias, I., Gorriz, J. M., & Ramirez, J. (2020). Artificial intelligence and education: Current applications and future challenges. International Journal of Interactive Multimedia and Artificial Intelligence, 6(3), 45-54.
- Rowe, J. P., & Lester, J. C. (2020). Artificial intelligence for personalized preventive adolescent healthcare. Journal of Adolescent Health, 67(2), S52-S58.
- Sang, G., Valcke, M., van Braak, J., & Tondeur, J. (2017). Investigating the relationships among students’ technological pedagogical content knowledge, perceived learning and course satisfaction in a flipped classroom. British Journal of Educational Technology, 48(4), 967-981.
- Selwyn, N., & Stirling, E. (2018). Social media and education: Now the dust has settled. Routledge. https://doi.org/10.4324/9781315121697
- Shah, D. (2018). The impact of technology on education. Techspirited. https://techspirited.com/impact-of-technology-on-education
- Stake, R. E. (1995). The art of case study research: Perspective in practice. SAGE.
- Tashtoush, M. A., Wardat, Y., Aloufi, F., & Taani, O. (2022). The effectiveness of teaching method based on the components of concept-rich instruction approach in students achievement on linear algebra course and their attitudes towards mathematics. Journal of Higher Education Theory and Practice, 22(7), 41-57. https://doi.org/10.33423/jhetp.v22i7.5269
- Thurmond, V. A. (2001). The point of triangulation. Journal of Nursing Scholarship, 33(3), 253-258. https://doi.org/10.1111/j.1547-5069.2001.00253.x
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
- Wardat, Y., Tashtoush, M. A., AlAli, R., & Jarrah, A. M. (2023). ChatGPT: A revolutionary tool for teaching and learning mathematics. Eurasia Journal of Mathematics, Science and Technology Education, 19(7), em2286. https://doi.org/10.29333/ejmste/13272
- Waser, R. (Ed.). (2012). Nanoelectronics and information technology: Advanced electronic materials and novel devices. John Wiley & Sons.
- Xie, L., Liu, Q., Lu, H., Wang, Q., Han, J., Feng, X., & Bao, L. (2021). Student knowledge integration in learning mechanical wave propagation. Physical Review Physics Education Research, 17(2), 020122.
- Xu, H., Li, Y., Li, L., Wang, J., & Li, Y. (2019a). A survey on natural language processing for educational applications. Neurocomputing, 338, 385-397. https://doi.org/10.1016/j.neucom.2018.09.064
- Xu, S., Wang, X., & Tang, Y. (2019b). A survey on ChatGPT design techniques in speech conversation systems. Journal of Computer Science and Technology, 34(1), 1-32.
- Yin, R. K. (1984). Case study research: Design and methods. SAGE.
- Zeng, L., & Hu, Q. (2009). Gender differences in use and attitudes toward cell phones among college students: A Chinese case study. Computers in Human Behavior, 25(1), 227-238.
- Zhu, Y., Zhang, R., Zou, Y., & Jin, D. (2023). Investigating customers’ responses to artificial intelligence chatbots in online travel agencies: The moderating role of product familiarity. Journal of Hospitality and Tourism Technology, 14(2), 208-224.