Abstract
From antiquity until nowadays, educational systems have evolved in parallel with major social and economic changes, integrating pedagogical and technological innovations into the educational ecosystem and leading to the advent of a new educational revolution, called Education 4.0. The Education 4.0 paradigm allows both, to support educational organizations in the adoption of pedagogical and digital transformations, and at the same time to meet the needs of new generations of learners and teachers. The increasing use of ICT and the power of the Internet have fostered the emergence of a new generation of learners for whom technology is an integral part of their lives and therefore of their learning style. To respond effectively to the specific needs of these new learner profiles, educational organizations must adopt significant and ongoing transformations in the way we teach and learn. Enabling student-centered teaching, personalized learning paths, and access to a variety of heterogeneous educational resources have made educational processes too complex for the educator to effectively monitor the individual progress of each student. It becomes necessary to automate the management of learning processes to provide better answers to the evolving and specific needs of the different actors (students, educators, training program managers, companies, etc.). This research project aims at proposing an autonomous architecture of Cyber-Physical systems for Education 4.0. This architecture responds to the needs of educational systems, integrating digital technologies for the development of heterogeneous learning environments, capable of meeting the needs of a plurality of learners with different profiles and supporting teachers and training managers in the management of learning processes. This architecture offers the possibility of autonomous management of learning processes to analyze the progress of students and to prescribe the necessary recommendations to increase the chances of success, facilitating the mission of teachers.
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References
Halili, S.H.: Technological advancements in education 4.0. Online J. Distance Educ. e-Learn. 7(1) (2019). https://tojdel.net/journals/tojdel/articles/v07i01/v07i01-08.pdf
Federation of Indian Chambers of Commerce and Industry: Leapfrogging to Education 4.0: Student at the core (2017). http://www.moe.gov.mm/sites/default/files/Leapforgging_to_Education_4.0.pdf. Accessed 2 June 2022
Mecalux News: Industrie 4.0: la quatrième révolution industrielle (2020). https://www.mecalux.fr/blog/industrie-4-0. Accessed 2 June 2022
Vaidya, S., Ambad, P.M., Bhosle, S.M.: Industry 4.0 – a glimpse. Procedia Manuf. 20, 233–238 (2018). https://doi.org/10.1016/J.PROMFG.2018.02.034
Intelitek report: The Education 4.0 Revolution. Analysis of Industry 4.0 and its effect on education (2018). https://e4-0.ipn.mx/wp-content/uploads/2019/10/the-education-4-0-revolution.pdf. Accessed 23 Sept 2022
Fisk, P.: Education 4.0 … the future of learning will be dramatically different, in school and throughout life (2017). https://www.peterfisk.com/2017/01/future-education-young-everyone-taught-together/. Accessed 2 July 2022
Hussin, A.A.: Education 4.0 made simple: ideas for teaching. Int. J. Educ. Literacy Stud. 6, 92–98 (2018). https://doi.org/10.7575/AIAC.IJELS.V.6N.3P.92
Mourtzis, D., Vlachou, E., Dimitrakopoulos, G., Zogopoulos, V.: Cyber-physical systems and Education 4.0-the teaching Factory 4.0 concept. Procedia Manuf. 23, 129–134 (2018). https://doi.org/10.1016/j.promfg.2018.04.005
Advanced Distributed Learning Initiative: Experience API Standard. https://adlnet.gov/projects/xapi/. Accessed 30 Sept 2022
Kephart, J.O., Chess, D.M.: The vision of autonomic computing. Computer 36(1), 41–50 (2003). https://doi.org/10.1109/MC.2003.1160055
Sinreich, D.: An architectural blueprint for autonomic computing. IBM (2006). https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.150.1011&rep=rep1&type=pdf
Gartner Research: Best Practices in Analytics: Integrating Analytical Capabilities and Process Flows. https://www.gartner.com/en/documents/1964015/best-practices-in-analytics-integrating-analytical-capab. Accessed 3 Sept 2022
Katie, L.: The 4 Levels of Learning Analytics (2014). https://schoolleadership20.com/forum/topics/the-4-levels-of-learning-analytics-by-katie-lepi. Accessed 23 Sept 2022
SOLAR.: What is Learning Analytics?. https://www.solaresearch.org/about/what-is-learning-analytics/. Accessed 4 Aug 2022
Process Mining and Execution Management Software: Celonis. https://www.celonis.com/. Accessed 15 Sept 2022
Acknowledgment
The authors would like to thank the Conseil Départemental des Landes (CD40) for its support in carrying out this research project. The partners in the HyPE13, UNITA and Connect UNITA projects are also acknowledged for enabling the deployment of the solution.
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Gueye, M.L., Exposito, E. (2023). Education 4.0: Proposal of a Model for Autonomous Management of Learning Processes. In: Troya, J., et al. Service-Oriented Computing – ICSOC 2022 Workshops. ICSOC 2022. Lecture Notes in Computer Science, vol 13821. Springer, Cham. https://doi.org/10.1007/978-3-031-26507-5_9
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