The Impact of Artificial Intelligence-Assisted Teaching on Teachers' Instructional Development

Runqiu Wu

doi:10.54097/7821c148

Authors

Runqiu Wu

DOI:

https://doi.org/10.54097/7821c148

Keywords:

Artificial Intelligence, personalized learning, assessment and instruction, teacher professional development, teaching optimization.

Abstract

Global attention has been attracted to Artificial Intelligence (AI) due to its rapid development. As a new science technology, AI has not only made remarkable achievements in the business and industrial fields but also gradually affected the education field, bringing far-reaching impacts on the traditional teaching model. However, with the proliferation of AI technology, teachers are facing challenges in terms of role orientation and professional development. This essay analyses the challenges that teachers are facing in the age of AI and proposes strategies to rationally balance the application of AI in education, to provide valuable management ideas and suggestions for educational policymakers. This essay concludes that the impact of AI on education consists of positive effects such as improving teaching efficiency, providing personalized learning, and reducing the burden on teachers, but at the same time, it brings with it challenges such as the change in teachers' professional roles and the need for skills upgrading. Based on this, this essay proposes recommendations to strengthen teacher training to enhance their AI-related skills, formulate policies to safeguard teachers' professional development and promote the application of human-computer collaboration models in education.

Downloads

Download data is not yet available.

References

[1] Chen L, Chen P, Lin Z. Artificial intelligence in education: A review. IEEE Access, 2020, 8: 75264-75278. DOI: https://doi.org/10.1109/ACCESS.2020.2988510

[2] Celik I, Dindar M, Muukkonen H, Järvelä S. The promises and challenges of artificial intelligence for teachers: A systematic review of research. Tech Trends, 2022, 66(4): 616-630. DOI: https://doi.org/10.1007/s11528-022-00715-y

[3] Pratama M P, Sampelolo R, Lura H. Revolutionizing education: harnessing the power of artificial intelligence for personalized learning. Klasikal: Journal of Education, Language Teaching and Science, 2023, 5(2): 350-357. DOI: https://doi.org/10.52208/klasikal.v5i2.877

[4] McClelland E R. Exploration of positive teacher-student relationships in the online context of VIPKID, 2018.

[5] Yeti̇şensoy O, Karaduman H. The effect of AI-powered chatbots in social studies education. Education and Information Technologies, 2024, 1-35. DOI: https://doi.org/10.1007/s10639-024-12485-6

[6] Zhang X, Zhang X, Jasni Bin Dolah T D. Intelligent classroom teaching assessment system based on deep learning model face recognition technology. Scientific Programming, 2022, 2022(1): 1851409. DOI: https://doi.org/10.1155/2022/1851409

[7] Gandedkar N H, Wong M T, Darendeliler M A. Role of virtual reality (VR), augmented reality (AR) and artificial intelligence (AI) in tertiary education and research of orthodontics: An insight. In Seminars in Orthodontics. WB Saunders, 2021, 27(2): 69-77. DOI: https://doi.org/10.1053/j.sodo.2021.05.003

[8] Roshanaei M, Olivares H, Lopez R R. Harnessing AI to foster equity in education: Opportunities, challenges, and emerging strategies. Journal of Intelligent Learning Systems and Applications, 2023, 15(04): 123-143. DOI: https://doi.org/10.4236/jilsa.2023.154009

[9] Zhou X, Tong Y, Lan X, Zheng K, Zhan Z. AI education in massive open online courses: A content analysis. In 2021 3rd International Conference on Computer Science and Technologies in Education (CSTE). IEEE, 2021: 80-85. DOI: https://doi.org/10.1109/CSTE53634.2021.00023

[10] Hooda M, Rana C, Dahiya O, Rizwan A, Hossain MS. Artificial intelligence for assessment and feedback to enhance student success in higher education. Mathematical Problems in Engineering, 2022, 2022(1): 5215722. DOI: https://doi.org/10.1155/2022/5215722

[11] Dogmus Z, Erdem E, Patoglu V. ReAct!: An interactive educational tool for AI planning for robotics. IEEE Transactions on Education, 2014, 58(1): 15-24. DOI: https://doi.org/10.1109/TE.2014.2318678

[12] Chiu T K, Chai C S. Sustainable curriculum planning for artificial intelligence education: A self-determination theory perspective. Sustainability, 2020, 12(14): 5568. DOI: https://doi.org/10.3390/su12145568

[13] Badshah A, Ghani A, Daud A, Jalal A, Bilal M, Crowcroft J. Towards smart education through internet of things: A survey. ACM Computing Surveys, 2023, 56(2): 1-33. DOI: https://doi.org/10.1145/3610401

[14] Lee Y J, Davis R O, Ryu J. Korean in-service teachers' perceptions of implementing Artificial Intelligence (AI) education for teaching in schools and their AI teacher training programs. Int. J. Inf. Educ. Technol, 2024, 14: 214-219. DOI: https://doi.org/10.18178/ijiet.2024.14.2.2042

[15] Selwyn N. Should robots replace teachers?: AI and the future of education. John Wiley & Sons, 2019.

[16] Qadir J. Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. In 2023 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2023: 1-9. DOI: https://doi.org/10.1109/EDUCON54358.2023.10125121

[17] Reidenberg J R, Schaub F. Achieving big data privacy in education. Theory and Research in Education, 2018, 16(3): 263-279. DOI: https://doi.org/10.1177/1477878518805308

[18] Ji H, Han I, Ko Y. A systematic review of conversational AI in language education: Focusing on the collaboration with human teachers. Journal of Research on Technology in Education, 2023, 55(1): 48-63. DOI: https://doi.org/10.1080/15391523.2022.2142873