Author(s)

Ji Li¹, Jin Lu^2*, XiaoTing Wan³

Affiliation(s)

¹Research Management Office, Shenzhen Polytechnic University, Shenzhen, Guangdong, China.

²Guangdong Key Laboratory of Big Data Intelligence for Vocational Education, Shenzhen Polytechnic University, Shenzhen, Guangdong, China.

³Educational Technology and Information Center, Shenzhen Polytechnic University, Shenzhen, Guangdong, China.

Corresponding Author

Jin Lu

ABSTRACT

Generative Artificial Intelligence Techniques is an AI system capable of generating new, original content. The field of artificial intelligence is witnessing a period of rapid growth, driven by the emergence of large generative AI models in recent years. OpenAI introduced ChatGPT, a dialogue chatbot with advanced natural language generation capabilities, which garnered significant attention globally. This led to a surge in the development of large generative AI models, including Gemini, Copilot, LLaMA, SAM, SORA, and numerous others. At the present time, the information age is entering a phase of accelerated development characterized by the advent of intelligent computing. The breakthroughs in generative AI technology that have been achieved to date are numerous and significant, and they are gradually and profoundly transforming thousands of industries.First, this paper elaborates on the development history of artificial technology, especially the iteration of generative AI technology. Secondly, this paper provides a systematic overview of the current status of the application of generative AI technology in education, and at the same time analyzes the role played by generative AI technology in the digital transformation of schools. Finally, the paper sheds light on the issues and challenges that generative AI technologies will bring to education.

KEYWORDS

Generative artificial intelligence; Education; Digital transformation

CITE THIS PAPER

Ji Li, Jin Lu, XiaoTing Wan. Study of generative artificial intelligence techniques in the digitisation transformation of education. Journal of Computer Science and Electrical Engineering. 2024, 6(2): 71-79. DOI: 10.61784/jcsee3008.

REFERENCES

[1] Wang Z, Song Y ,Zhang G, et al. Advances of embedded resistive random access memory in industrial manufacturing and its potential applications. International Journal of Extreme Manufacturing, 2024, 6(3).

[2] Laukamp R K ,Terzis A R ,Werner M J, et al. Monitoring Patients with Glioblastoma by Using a Large Language Model: Accurate Summarization of Radiology Reports with GPT-4. Radiology, 2024, 312(1): e232640.

[3] Kohei F ,Takuma Y ,Yuma K, et al. Calculation of cross-correlation function accelerated by TensorFloat-32 Tensor Core operations on NVIDIA’s Ampere and Hopper GPUs. Journal of Computational Science, 2023, 68.

[4] Gueudet G, Poisard C. Design and use of curriculum resources for teachers and teacher educators: Example of the Chinese abacus at primary school. International Journal of Educational Research, 2019, 9368-78.

[5] Wu Z, Qiao K, Wang Z, et al. Mixture Differential Cryptanalysis on Round-Reduced SIMON32/64 Using Machine Learning. Mathematics, 2024, 12(9).

[6] Zhai F, Yu S, Shan W, et al. An Analytical Method for Determining Flux Density in Surface-Mounted Permanent Magnet Machines with Unequal Magnetic Poles. Electronics, 2023, 12(15).

[7] Shen Feng Textile Co. Ltd. Patent Issued for Method Of Manufacturing One-Piece Textile By A Jacquard Machine And Product Made By The Same (USPTO 10,415,160). Journal of Engineering, 2019.

[8] Gold M K, Townsend A P, Herrmann I, et al. Investigating potato late blight physiological differences across potato cultivars with spectroscopy and machine learning. Plant Science, 2020, 295110316-110316.

[9] Gil M A, Endres G R. Unraveling biochemical spatial patterns: Machine learning approaches to the inverse problem of stationary Turing patterns. iScience, 2024, 27(6): 109822.

[10] Schutz E, Glinos K, Beenaert D, et al. ARTEMIS and ENIAC joint undertakings, 2008.

[11] Guiying N, Yongquan Z. Application of Improved Differential Evolution Algorithm in Solving Equations. International Journal of Computational Intelligence Systems, 2021, 14(1).

[12] Kumar N K, Kumar S P, Prava R D, et al. A near-optimal & load balanced resilient system design for high-performance computing platform. Cluster Computing, 2023, 26(2): 1535-1550.

[13] Zhao Q, Qiliang Z. Research on Computer Information Management Platform of Construction Technology in Construction Enterprises. Journal of Physics: Conference Series, 2020, 1578(1): 012141.

[14] Hartigh D E, Ortt R J, Kaa D V G, et al. Platform control during battles for market dominance: The case of Apple versus IBM in the early personal computer industry. Technovation, 2016, 48-494-12.

[15] Vo H H A, Tran C V, Tran T T, et al. P-EcStat: A Versatile Design of Photoelectrochemical and Electrochemical Sensing System with Smartphone Interface via Bluetooth Low Energy. Applied Sciences, 2024, 14(13): 5420-5420.

[16] D D Y, A E S, A D Y, et al. Fast method for computer simulation of luminescence characteristics of multilayer biological tissues with embedded luminescent nanoparticles. Quantum Electronics, 2021, 51(1): 43-51.

[17] Almira T O, Steinn S. Does GPT-3 qualify as a co-author of a scientific paper publishable in peer-review journals according to the ICMJE criteria? A case study. Discover Artificial Intelligence, 2023, 3(1).

[18] T D A. Automated Bolus Calculators and Connected Insulin Pens: A Smart Combination for Multiple Daily Injection Insulin Therapy. Journal of diabetes science and technology, 2021, 16(3): 605-609. DOI: 10.1177/19322968211062624.

[19] Geng X, Liang Y, Wu Q. Application of a Logical Reasoning Approach Based Petri Net in Agriculture Expert System//China-EU Center for Information & Communication Technologies in Agri-culture(CICTA). Computer and Computing Technologies in Agriculture VII——Proceedings of 7th IFIP WG 5.14 International Conference, CCTA2013, Part. Institute of Information Science and Engineering,Shandong Agricultural University, 2013: 16.

[20] Jairo A, W G C, Lauren A, et al. Artificial intelligence using a deep learning versus expert computed tomography human reading in calcium score and coronary artery calcium data and reporting system classification. Coronary artery disease, 2023, 34(6).

[21] R. M S, D. J C, L. D M. Large scale distributed computing calculations of binding free energies: Model systems and blind tests. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2011, 242.

[22] Ashraf A, Atasi M. Cultural beliefs and equity in educational institutions: exploring the social and philosophical notions of ability groupings in teaching and learning of mathematics. International Journal of Adolescence and Youth, 2023, 28(1).

[23] L.T. M, Efimenkova N L K, N. L Y, et al. Using computer technology in overcoming the written speech defects in children with mental retardation. Asian Journal of Research in Social Sciences and Humanities, 2022, 12(8): 1-4.

[24] Gonzalez T J D, Djulbegovic B M, Bair H. We Need to Add Prompt Engineering Education to Optimize Generative Artificial Intelligence in Medicine. Academic medicine: journal of the Association of American Medical Colleges, 2024. DOI: 10.1097/ACM.0000000000005803.

[25] Sekhar C T, Nayak R Y, Abdoler A E. A Use Case for Generative AI in Medical Education. JMIR medical education, 2024, 10e56117-e56117.

[26] Sun H K, Liakos W, Patel A V. Utility of Artificial Intelligence in Patient Education: An Appraisal of Mohs Surgery Information Generated by ChatGPT-3.5 and ChatGPT-4. Journal of drugs in dermatology: JDD, 2024, 23(5): e139-e141.

[27] B. J P, Ashwini K, Sudarshan S, et al. Artificial intelligence-assisted generative pretrained transformers for applications of ChatGPT in higher education among graduates. SN Social Sciences, 2024, 4(2).

[28] Jiahong S, Weipeng Y. Unlocking the Power of ChatGPT: A Framework for Applying Generative AI in Education. ECNU Review of Education, 2023, 6(3): 355-366.

[29] Won T K. Application of artificial intelligence chatbot, including ChatGPT in education, scholarly work, programming, and content generation and its prospects: a narrative review. Journal of educational evaluation for health professions, 2023, 2038-38.