Abstract
The research focuses on the construction and application of learning adaptation intervention field for college students in the age of intelligence, uses research methods of survey research, literature research, theoretical deduction, and design-based research, under the guidance of field theory, combined with the development direction of digital transformation, proposed the concept of college students’ learning adaptation intervention field construction of factor connectivity, link routing and data integration; applied technologies such as AI and RPA to build an “AI + RPA + X” intervention field that highlights the characteristics of human-machine synergy, and clarified its hierarchical structure and operating mechanism; carried out a one-semester practical application for 49 undergraduate normal students majoring in educational technology in the 2021 grade of H University, and analyzed the application effect of “AI + RPA + X” intervention field. The results show that the “AI + RPA + X” intervention field of college students’ learning adaptation can provide theoretical and practical reference for constructing and optimizing the existing field and interfering with college students’ learning adaptation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gupta, A., Soneji, P., Mangaonkar, N.: Robotic process automation powered admission management system. In: Smys, S., Kamel, K.A., Palanisamy, R. (eds.) Inventive Computation and Information Technologies. Lecture Notes in Networks and Systems, vol. 563, pp. 169–178. Springer, Singapore (2023). https://doi.org/10.1007/978-981-19-7402-1_13
Hu, T.Z., Chen, F.-R.: Research on improving learning adaptability of educational technology students in network environment. In: 2011 International Conference on Electrical and Control Engineering, pp. 6732–6735 (2011). https://doi.org/10.1109/iceceng.2011.6056948
Li, Q.: A brief analysis of Bourdieu’s field theory. J. Yantai Univ. (Philos. Soc. Sci. Ed.) (02), 146–150 (2002). https://doi.org/10.13951/j.cnki.issn1002-3194.2002.02.005
Mosteanu, N.R.: Machine learning and robotic process automation take higher education one step further [Article]. Rom. J. Inf. Sci. Technol. 25(1), 92–99 (2022). <Go to ISI>://WOS:000775912300007
Nguyen, A., Gardner, L.A., Sheridan, D.: A framework for applying learning analytics in serious games for people with intellectual disabilities [Article]. Br. J. Edu. Technol. 49(4), 673–689 (2018). https://doi.org/10.1111/bjet.12625
Pierre Bourdieu, L.J.D.W.: An Invitation to Reflexive Sociology [Practice and reflection: the guidance of reflective Sociology]. University Of Chicago Press (1992)
Qiu, H.: A probe into the Integrated intervention Model of College students’ Web-based Learning adaptability [Master , Hunan University] (2010)
Scepanovic, S., Debevc, M.: (2012, 2012 Nov 19-21). adaptation of learning objects in virtual learning environment to learning styles of students. In: [5th International Conference of Education, Research and Innovation (iceri 2012)]. 5th International Conference of Education, Research and Innovation (ICERI), Madrid, Spain (2012)
Somasundaram, M., Sumitra, V., Vardan, R.S.P.V., Sakthipriya, B., Pavithra, K., Nivedha, M.K.: Monitoring and facilitating students programming skill development using robotic process automation (RPA) and artificial intelligence (AI)-a case study. In: 2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), pp. 1–6 (2022). https://doi.org/10.1109/icerect56837.2022.10060772
Sutipitakwong, S., Jamsri, P.: The effectiveness of RPA in fine-tuning tedious tasks. In: 2020 6th International Conference on Engineering, Applied Sciences and Technology (ICEAST), pp. 1–4 (2020)https://doi.org/10.1109/iceast50382.2020.9165452
Xie, Y., Qiu, Y., Luo, W., Zhang, R.: Research on remodeling of college students’ learning adaption in the age of intelligence: connotation, model and measurement. e-Educ. Res. 44(03), 13–20 (2023). https://doi.org/10.13811/j.cnki.eer.2023.03.002
Xu, D., Tsai, S.-B.: A study on the application of interactive english-teaching mode under complex data analysis [article]. Wirel. Commun. Mob. Comput. 2675786 (2021). https://doi.org/10.1155/2021/2675786
Zhang, L.F.: Maturity appraisal of RPA application in China. AEBMR-advances in economics business and management research [Proceedings of the third international conference on economic and business management (febm 2018)]. In: 3rd International Conference on Economic and Business Management (FEBM), Hohhot, Peoples R China (2018)
Zhao, T., Zhang, W., Zhao, H., Jin, Z.: A reinforcement learning-based framework for the generation and evolution of adaptation rules. In: [2017 IEEE International Conference on Automatic Computing (icac)] 14th IEEE International Conference on Autonomic Computing (ICAC), Ohio State Univ, Columbus, OH (2017, 2017 July 17–21)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Qiu, Y., Peng, Z., Lu, Y. (2024). Construction and Application of “AI + RPA + X” Intervention Field for College Students’ Learning Adaptation. In: Cheung, S.K.S., Wang, F.L., Paoprasert, N., Charnsethikul, P., Li, K.C., Phusavat, K. (eds) Technology in Education. Innovative Practices for the New Normal. ICTE 2023. Communications in Computer and Information Science, vol 1974. Springer, Singapore. https://doi.org/10.1007/978-981-99-8255-4_14
Download citation
DOI: https://doi.org/10.1007/978-981-99-8255-4_14
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-8254-7
Online ISBN: 978-981-99-8255-4
eBook Packages: Computer ScienceComputer Science (R0)