Artificial Intelligence Implementation in Higher Education in China: Case Study of Beijing Technology and Business University

Authors

  • Jia Jia The University of Manchester

DOI:

https://doi.org/10.5281/zenodo.14276977

Keywords:

Artificial Intelligence (AI), higher education (HE), teaching and learning, delivery and management

Abstract

With the swift development of technology, there is an increasing number of Artificial Intelligence (AI) technologies entering into different social fields such as education, healthcare, logistics and chemistry. This research focuses on higher education (HE) field. Previous studies placed more emphasis on the delivery of teaching and learning while ignoring the management of education (Dogan et al., 2023). Besides, most researchers just focused on one application of AI. Therefore, this research is trying to bridge these gaps to explore how AI can be used in higher education to improve the delivery and management of teaching and learning from the aspects of applications. The research follows a qualitative method and a case study of Beijing Technology and Business University (BTBU) collected data from internal documents, internal organisational reports, media articles, official website articles and patent. It uses the framework of López-Chila with slight modifications. There are four main applications in BTBU: intelligent tutoring systems, adaptive systems, assessment and evaluation and analysis and prediction.

Downloads

Download data is not yet available.

References

[1]Academic Affairs Office of BTBU (2023a). Description of smart education application. Available at: https://jwc.btbu.edu.cn/zhjs/index.htm (Accessed: 24 July 2024).

[2]Academic Affairs Office of BTBU (2023b). Reporting data of the quality monitoring of higher education. Available at: https://jwc.btbu.edu.cn/jxzl/797e56471ac34697876b1ddb5572c287.htm (Accessed:14 July 2024).

[3]Adamson, D., Dyke, G., Jang, H. & Rosé, C.P. (2014). ‘Towards an agile approach to adapting dynamic collaboration support to student needs’, International Journal of Artificial Intelligence in Education, 24(1), 92-124.

[4]Admissions offices of BTBU (2023a). 21 Smart Classrooms Completed in Beijing Technology and Business University [WeChat] 12:04 pm · 15 September 2023. Available at: https://mp.weixin.qq.com/s?__biz=MzU4NDU1NTE0Mg==&mid=2247514407&idx=1&sn=fb315fbf73a81c1f62597dd61e9fbbe4&chksm=fd9af6cecaed7fd8944ca0d01884ad30d0e4d195a3a44864615454f7ed4b01e3827065bb8a95&scene=27 (Accessed: 26 July 2024).

[5]Admissions offices of BTBU (2023b). Employment report of 2023 graduates. Available at: https://zsjyc.btbu.edu.cn//xzzx/zsjyc4/3bc40a114f6a42aabfb8bf1d6a21ac68.htm (Accessed:14 July 2024).

[6]Beijing Technology and Business University (BTBU) (2023). Report of 2023's freshman class [WeChat] 11:14 am · 5 September 2023. Available at: https://mp.weixin.qq.com/s?__biz=MzA3MzIxNzU5Ng==&mid=2650451605&idx=1&sn=abe1a2b7991ee053a49964c03c3f4a1b&chksm=871c6dc6b06be4d0ff046dc3e7acf4c7e3a55ff5892b4a8619bd31461ea4dfc5f75dc7e98a8b&token=2145178614&lang=zh_CN#rd (Accessed: 14 July 2024).

[7]Casamayor, A., Amandi, A. & Campo, M. (2009). ‘Intelligent assistance for teachers in collaborative e-learning environments’, Computers & Education, 53(4), 1147-1154.

[8]Chen, Y., Wei, W.Q. & Zhang, P. (2023). A prediction method and visual analysis system for undergraduates destination based on causal inference. Patent no. CN117609731. Available at: https://xueshu.baidu.com/usercenter/paper/show?paperid=1b680es0f40r0jp05c5v0jr0pd214747&site=xueshu_se (Accessed: 14 July 2024).

[9]China’s State Council (2017). New Generation of Artificial Intelligence Development Plan. Available at: https://www.gov.cn/gongbao/content/2017/content_5216427.htm (Accessed: 2 July 2024).

[10]Christensen, C.M., Horn, M.B. & Johnson, C.W. (2008). Disrupting class: How disruptive innovation will change the way the world learns. New York: McGraw-Hill.

[11]Crown, S., Fuentes, A., Jones, R., Nambiar, R. & Crown, D. (2011). ‘Anne G. Neering: Interactive chatbot to engage and motivate engineering students’, Computers in Education Journal, 21(2), 24-34.

[12]Ding, J. (2018). Deciphering China’s AI Dream: The Context, Components, Capabilities, and Consequences of China’s Strategy to Lead the World in AI. University of Oxford. Available at: https://www.fhi.ox.ac.uk/wp-content/uploads/Deciphering_Chinas_AI-Dream.pdf (Accessed:2 July 2024).

[13]Education Quality Evaluation Agency of the Ministry of Education (2024a). Introduction of data monitoring. Available at: https://www.heec.edu.cn/pgcenter/zljc/ptjj/index.html (Accessed:27 July 2024).

[14]Education Quality Evaluation Agency of the Ministry of Education (2024b). Introduction of assessment. Available at: https://www.heec.edu.cn/pgcenter/yxpg/pgjj/index.html (Accessed:27 July 2024).

[15]Gandedkar, N.H., Wong, M.T. & Darendeliler, M.A. (2021). ‘Role of virtual reality (VR), augmented reality (AR) and artificial intelligence (AI) in tertiary education and research of orthodontics: An insight’, Seminars in Orthodontics, 27(2), 69-77.

[16]González-Romá, V., Gamboa, J.P. & Peiro, J.M. (2018). ‘University graduates’ employability, employment status, and job quality’, Journal of Career Development, 45(2), 132-149..

[17]Hao, Y.S. (2021). ‘The exploration of using micro-teaching assistants to improve classroom teaching under the concept of OBE: taking teacher education theory courses as an example’, Research in Higher Education of Engineering, 2021(1), 24-25.

[18]Huaqiyun (2022). The successful teaching platform in Wuhan University of Technology and Beijing Technology and Business University [Baidu] 4:50 pm · 17 November 2022. Available at: https://baijiahao.baidu.com/s?id=1749732597900677170&wfr=spider&for=pc (Accessed: 14 July 2024).

[19]Hussain, M., Zhu, W., Zhang, W. & Abidi, S.M.R. (2018). ‘Student Engagement Predictions in an e‐Learning System and Their Impact on Student Course Assessment Scores’, Computational intelligence and neuroscience, 2018(1), 6347186.

[20]Join-Cheer (2024). Acceptance of Beijing Technology and Business University asset comprehensive management platform. Available at: https://www.jiuqi.com.cn/xwzx/38004.jhtml (Accessed: 26 July 2024).

[21]Kinshuk, Chen, N.S., Cheng, I.L. & Chew, S.W. (2016). ‘Evolution is not enough: Revolutionizing current learning environments to smart learning environments’, International Journal of Artificial Intelligence in Education, 26(2), 561-581.

[22]López-Chila, R., Llerena-Izquierdo, J., Sumba-Nacipucha, N. & Cueva-Estrada, J. (2023). ‘Artificial Intelligence in Higher Education: An Analysis of Existing Bibliometrics’, Education Sciences, 14(1), 47.

[23]McKenna, B.A., Horton, C. & Kopittke, P.M. (2022). ‘Online Engagement during COVID‐19: Comparing a Course Previously Delivered Traditionally with Emergency Online Delivery’, Human Behavior and Emerging Technologies, 2022(1), 6813033.

[24]Melhuish, E., Howard, S.J., Siraj, I., Neilsen-Hewett, C., Kingston, D., de Rosnay, M.,

[25]Ministry of Education of the People’s Republic of China (MEPRC) (2018). Action Plan for Artificial Intelligence Innovation in Colleges and Universities. Available at: http://www.moe.gov.cn/srcsite/A16/s7062/201804/t20180410_332722.html (Accessed: 3 July 2024).

[26]Mukhopadhyay, S.C., Tyagi, S.K.S., Suryadevara, N.K., Piuri, V., Scotti, F. & Zeadally, S. (2021). ‘Artificial intelligence-based sensors for next generation IoT applications: A review’, IEEE Sensors Journal, 21(22), 24920-24932.

[27]Niu, K., Cheng, C., Gao, H. & Zhou, X. (2019). ‘Suggestions on accelerating the implementation of artificial intelligence technology in university information system’, 2019 14th International Conference on Computer Science & Education (ICCSE), Toronto, Canada. August 2019. IEEE. pp. 767-770. https://ieeexplore.ieee.org/abstract/document/8845378.

[28]Pons, E., Braun, L.M., Hunink, M.M. & Kors, J.A. (2016). ‘Natural language processing in radiology: a systematic review’, Radiology, 279(2), 329-343.

[29]Popenici, S.A.D. & 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), 22-13.

[30]Recruitment and Employment office of BTBU (2023). See Smart Campus from BTBU. Available at: https://zsb.btbu.edu.cn/zsdt/ec8005e83622462e8c30f00e49fe1489.htm (Accessed: 14 July 2024).

[31]School of E-Business and Logistics of BTBU (2023). Platforms of teaching system in BTBU [WeChat] 3:48 pm · 06 September 2023. Available at: https://mp.weixin.qq.com/s/_2A5_ky1FVfnYcTMG3S6uQ (Accessed: 26 July 2024).

[32]School of Food and Health (2023a). Sharing personal feelings and experiences of intelligent education from a teacher. Available at: https://spxy.btbu.edu.cn/xydt/170254.htm (Accessed: 14 July 2024).

[33]School of Food and Health (2023b). Sharing personal feelings and experiences of intelligent education from a zoology and botany professor. Available at: https://spxy.btbu.edu.cn/xydt/168589.htm (Accessed: 14 July 2024).

[34]School of Food and Health (2023c). Sharing personal feelings and experiences of intelligent education from a microbiology professor. Available at: https://spxy.btbu.edu.cn/xydt/168891.htm (Accessed: 14 July 2024).

[35]Ubell, R. (2017). ‘Why faculty still don’t want to teach online’, Online Research Consortium Blog, 10 January 2017. Available at: https://onlinelearningconsortium.org/faculty-still-dont-want-teach-online/ (Accessed:25 June 2024).

[36]Wu, Y. & Huang, T.S. (2001). ‘Vision-based gesture recognition: A review’, Proceedings of the International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction, Berlin, Heidelberg. 20 December 2001. pp. 103-115. https://link.springer.com/chapter/10.1007/3-540-46616-9_10.

Downloads

Published

2024-12-05

How to Cite

Jia, J. (2024). Artificial Intelligence Implementation in Higher Education in China: Case Study of Beijing Technology and Business University. Journal of Current Social Issues Studies, 1(1), 17–31. https://doi.org/10.5281/zenodo.14276977

Issue

Section

Articles