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Articles

ChatGPT in education: benefits and challenges of ChatGPT for mathematics and science teaching practices

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Received 21 Aug 2023, Published online: 28 May 2024

References

  • Al Mansoori, A., Taani, O., Al Aghar, T., & McMinn, M. (2022). Faculty perceptions of blackboard learn as the main platform for teaching and learning. 2022 International Arab Conference on Information Technology (ACIT).
  • Alam, M., Samad, M. D., Vidyaratne, L., Glandon, A., & Iftekharuddin, K. M. (2020). Survey on deep neural networks in speech and vision systems. Neurocomputing, 417, 302–321. https://doi.org/10.1016/j.neucom.2020.07.053
  • Alawida, M., Mejri, S., Mehmood, A., Chikhaoui, B., & Isaac Abiodun, O. (2023). A comprehensive study of ChatGPT: Advancements, limitations, and ethical considerations in natural language processing and cybersecurity. Information, 14(8), 462. https://doi.org/10.3390/info14080462
  • Alom, M. Z., Taha, T. M., Yakopcic, C., Westberg, S., Sidike, P., Nasrin, M. S., Van Esesn, B. C., Awwal, A. A. S., & Asari, V. K. (2018). The history began from alexnet: A comprehensive survey on deep learning approaches. arXiv preprint arXiv:1803.01164.
  • Ansari, N., Babaei, V., & Najafpour, M. M. (2024). Enhancing catalysis studies with chat generative pre-trained transformer (ChatGPT): Conversation with ChatGPT. Dalton Transactions. The Royal Society of Chemistry, 53, 3534–3547. https://doi.org/10.1039/D3DT04178F
  • Baclic, O., Tunis, M., Young, K., Doan, C., Swerdfeger, H., Schonfeld, J., Data, P., & Hub, I. (2020). Natural language processing (NLP) a subfield of artificial intelligence. CCDR, 46(6), 1–10.
  • Bird, J. J., Ekárt, A., & Faria, D. R. (2023). Chatbot interaction with Artificial Intelligence: Human data augmentation with T5 and language transformer ensemble for text classification. Journal of Ambient Intelligence and Humanized Computing, 14(4), 3129–3144. https://doi.org/10.1007/s12652-021-03439-8
  • Bossé, M. J., Bayaga, A., Fountain, C., Young, E. S., & DeMarte, A. (2019). Mathematics learning through the lens of language acquisition. lnternational Electronic Journal of Elementary Education, 12(1), 103–113. https://doi.org/10.26822/iejee.2019155342
  • Buchlak, Q. D., Esmaili, N., Bennett, C., & Farrokhi, F. (2022). Natural language processing applications in the clinical neurosciences: A machine learning augmented systematic review. Machine Learning in Clinical Neuroscience: Foundations and Applications, 134, 277–289. https://doi.org/10.1007/978-3-030-85292-4_32
  • Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
  • Coleman, J. P. (2021). AI and our understanding of intelligence. Intelligent Systems and Applications: Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) volume 1.
  • Cooper, G. (2023). Examining science education in chatgpt: An exploratory study of generative artificial intelligence. Journal of Science Education and Technology, 32(3), 444–452. https://doi.org/10.1007/s10956-023-10039-y
  • Copeland, B. J. (2004). The essential turing. Clarendon Press.
  • Currie, G. M. (2023). Academic integrity and artificial intelligence: Is ChatGPT hype, hero or heresy? Seminars in Nuclear Medicine, 53(5), 719–730. https://doi.org/10.1053/j.semnuclmed.2023.04.008
  • Dalayli, F. (2023). Use of NLP techniques in translation by ChatGPT: Case study. Proceedings of the Workshop on Computational Terminology in NLP and Translation Studies (ConTeNTS) Incorporating the 16th Workshop on Building and Using Comparable Corpora (BUCC).
  • Deng, X., & Yu, Z. (2023). A meta-analysis and systematic review of the effect of chatbot technology use in sustainable education. Sustainability, 15(4), 2940. https://doi.org/10.3390/su15042940
  • Ellis, A. R., & Slade, E. (2023). A new era of learning: Considerations for ChatGPT as a tool to enhance statistics and data science education. Journal of Statistics and Data Science Education, 1–10.
  • Frieder, S., Pinchetti, L., Griffiths, R.-R., Salvatori, T., Lukasiewicz, T., Petersen, P. C., Chevalier, A., & Berner, J. (2023). Mathematical capabilities of chatgpt. arXiv preprint arXiv:2301.13867. https://doi.org/10.48550/arXiv.2301.13867
  • Goel, A. K., & Polepeddi, L. (2018). Jill Watson: A virtual teaching assistant for online education. In C. Dede, J. Richards, & B. Saxberg (Eds.), Learning engineering for online education (pp. 120–143). Routledge.
  • Grassini, S. (2023). Shaping the future of education: Exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences, 13(7), 692. https://doi.org/10.3390/educsci13070692
  • Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4(4), 134–147. https://doi.org/10.1016/j.ijis.2020.09.001
  • Han, X., Zhang, Z., Ding, N., Gu, Y., Liu, X., Huo, Y., Qiu, J., Yao, Y., Zhang, A., & Zhang, L. (2021). Pre-trained models: Past, present and future. AI Open, 2, 225–250. https://doi.org/10.1016/j.aiopen.2021.08.002
  • Hodges, A. (2014). Alan turing: The enigma. Princeton University Press.
  • Hosseini, M., Gao, C. A., Liebovitz, D. M., Carvalho, A. M., Ahmad, F. S., Luo, Y., MacDonald, N., Holmes, K. L., & Kho, A. (2023). An exploratory survey about using ChatGPT in education, healthcare, and research. PLoS One, 18(10), e0292216. https://doi.org/10.1371/journal.pone.0292216
  • Imran, M., & Almusharraf, N. (2023). Analyzing the role of ChatGPT as a writing assistant at higher education level: A systematic review of the literature. Contemporary Educational Technology, 15(4), ep464. https://doi.org/10.30935/cedtech/13605
  • Jacques, L. (2023). Teaching CS-101 at the Dawn of ChatGPT. ACM Inroads, 14(2), 40–46. https://doi.org/10.1145/3595634
  • Kieser, F., Wulff, P., Kuhn, J., & Küchemann, S. (2023). Educational data augmentation in physics education research using ChatGPT. Physical Review Physics Education Research, 19(2), 020150. https://doi.org/10.1103/PhysRevPhysEducRes.19.020150
  • Kim, J., Merrill, K., Xu, K., & Sellnow, D. D. (2020). My teacher is a machine: Understanding students’ perceptions of AI teaching assistants in online education. International Journal of Human–Computer Interaction, 36(20), 1902–1911. https://doi.org/10.1080/10447318.2020.1801227
  • Knill, K., & Young, S. (1997). Hidden Markov models in speech and language processing. In S. Young & G. Bloothooft (Eds.), Corpus-based methods in language and speech processing (pp. 27–68).
  • Kondurkar, I., Raj, A., & Lakshmi, D. (2024). Modern applications With a focus on training ChatGPT and GPT models: Exploring generative AI and NLP. In A. J. Obaid, B. Bhushan, S. Muthmainnah, & S. Suman Rajest (Eds.), Advanced applications of generative AI and natural language processing models (pp. 186–227). IGI Global.
  • Kouemou, G. L., & Dymarski, D. P. (2011). History and theoretical basics of hidden markov models. In P. Dymarski (Ed.), Hidden Markov models, theory and applications, 1. (1–300). InTech.
  • Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2023). Interacting with educational chatbots: A systematic review. Education and Information Technologies, 28(1), 973–1018. https://doi.org/10.1007/s10639-022-11177-3
  • Lee, D., & Yeo, S. (2022). Developing an AI-based chatbot for practicing responsive teaching in mathematics. Computers & Education, 191, 104646. https://doi.org/10.1016/j.compedu.2022.104646
  • Lee, J., Suh, T., Roy, D., & Baucus, M. (2019). Emerging technology and business model innovation: The case of artificial intelligence. Journal of Open Innovation: Technology, Market, and Complexity, 5(3), 44. https://doi.org/10.3390/joitmc5030044
  • Li, P.-H., Lee, H.-Y., Cheng, Y.-P., Starčič, A. I., & Huang, Y.-M. (2023). Solving the self-regulated learning problem: Exploring the performance of ChatGPT in mathematics. International Conference on Innovative Technologies and Learning.
  • Liu, J., Zhang, L., Wei, B., & Zheng, Q. (2022). Virtual teaching assistants: Technologies, applications and challenges. In F. Chen & J. Zhou (Eds.), Humanity driven AI: Productivity, well-being, sustainability and partnership (pp. 255–277). Springer.
  • Lu, H., Li, Y., Chen, M., Kim, H., & Serikawa, S. (2018). Brain intelligence: Go beyond artificial intelligence. Mobile Networks and Applications, 23(2), 368–375. https://doi.org/10.1007/s11036-017-0932-8
  • Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J., Ogata, H., Baltes, J., Guerra, R., Li, P., & Tsai, C.-C. (2020). Challenges and future directions of big data and artificial intelligence in education. Frontiers in Psychology, 11, 580820. https://doi.org/10.3389/fpsyg.2020.580820
  • Milmo, D. (2023). ChatGPT reaches 100 million users two months after launch. The Guardian. https://www.theguardian.com/technology/2023/feb/02/chatgpt-100-million-users-open-ai-fastest-growing-app.
  • Min, B., Ross, H., Sulem, E., Veyseh, A. P. B., Nguyen, T. H., Sainz, O., Agirre, E., Heintz, I., & Roth, D. (2023). Recent advances in natural language processing via large pre-trained language models: A survey. ACM Computing Surveys, 56(2), 1–40. https://doi.org/10.1145/3605943
  • Montesinos López, O. A., Montesinos López, A., & Crossa, J. (2022). Fundamentals of artificial neural networks and deep learning. In F. van Eeuwijk (Ed.), Multivariate statistical machine learning methods for genomic prediction (pp. 379–425). Springer.
  • Nazir, A., & Wang, Z. (2023). A comprehensive survey of ChatGPT: Advancements, applications, prospects, and challenges. Meta-radiology, 1, 100022. https://doi.org/10.1016/j.metrad.2023.100022
  • Nee, C. K., Rahman, M. H. A., Yahaya, N., Ibrahim, N. H., Razak, R. A., & Sugino, C. (2023). Exploring the trend and potential distribution of chatbot in education: A systematic review. International Journal of Information and Education Technology, 13(3), 516–525.
  • Okonkwo, C. W., & Ade-Ibijola, A. (2021). Chatbots applications in education: A systematic review. Computers and Education: Artificial Intelligence, 2, 100033. https://doi.org/10.1016/j.caeai.2021.100033
  • P dos Santos, R. (2023). Enhancing physics learning with ChatGPT, Bing chat, and bard as agents-to-think-with: a comparative case study. Enhancing Physics Learning with ChatGPT, Bing Chat, and Bard as Agents-to-Think-With: A Comparative Case Study (June 01, 2023).
  • Pathak, A. (2021). Comparative analysis of transformer based language models. CS & IT Conference Proceedings.
  • Patwardhan, N., Marrone, S., & Sansone, C. (2023). Transformers in the real world: A survey on nlp applications. Information, 14(4), 242. https://doi.org/10.3390/info14040242
  • Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development.
  • Poola, I., & Božić, V. (2023). Guiding AI with human intuition for solving mathematical problems in ChatGPT. Journal Homepage: Http://www.Ijmra.us, 11((07|7)), 31–40.
  • Rahman, M. M., & Watanobe, Y. (2023). ChatGPT for education and research: Opportunities, threats, and strategies. Applied Sciences, 13(9), 5783. https://doi.org/10.3390/app13095783
  • Rane, N. (2023). Enhancing mathematical capabilities through ChatGPT and similar generative artificial intelligence: Roles and challenges in solving mathematical problems. Available at SSRN 4603237.
  • Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching, 6(1), 342–363.
  • Singh, R. J. (2023). Transforming higher education: The power of artificial intelligence. International Journal of Multidisciplinary Research in Arts, Science and Technology, 1(3), 13–18.
  • Sufi, F. (2024). Generative pre-trained transformer (GPT) in research: A systematic review on data augmentation. Information, 15(2), 99. https://doi.org/10.3390/info15020099
  • Taani, O. (2014). Multiple paths to mathematics practice in Al-kashi’s key to arithmetic. Science & Education, 23(1), 125–141. https://doi.org/10.1007/s11191-013-9636-z
  • Taani, O. H. (2011). An analysis of the contents and pedagogy of Al-Kashi's 1427 “Key to Arithmetic” (Miftah Al-Hisab). New Mexico State University.
  • Tack, A., & Piech, C. (2022). The AI Teacher test: Measuring the pedagogical ability of Blender and GPT-3 in educational dialogues. arXiv preprint arXiv:2205.07540.
  • Tan, S. (2023). Harnessing Artificial Intelligence for innovation in education. In K. Rajaram (Ed.), Learning intelligence: Innovative and digital transformative learning strategies: Cultural and social engineering perspectives (pp. 335–363). Springer.
  • Taye, M. M. (2023). Understanding of machine learning with deep learning: Architectures, workflow, applications and future directions. Computers, 12(5), 91. https://doi.org/10.3390/computers12050091
  • 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
  • Wessel, L. (2020). Vocabulary in learning processes towards conceptual understanding of equivalent fractions—specifying students’ language demands on the basis of lexical trace analyses. Mathematics Education Research Journal, 32(4), 653–681. https://doi.org/10.1007/s13394-019-00284-z
  • Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J.-B., Yuan, J., & Li, Y. (2021). A review of artificial intelligence (AI) in education from 2010 to 2020. Complexity, 2021, 1–18.
  • Zhang, H., Song, H., Li, S., Zhou, M., & Song, D. (2023). A survey of controllable text generation using transformer-based pre-trained language models. ACM Computing Surveys, 56(3), 1–37. https://doi.org/10.1145/3617680

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