AdaDeep: Adaboost and Deep Learning to Discover Student 5.0 AI Capabilities in the Fifth Industrial Revolution (Industry 5.0)
Keywords:
Education 5.0, Emerging technologies in education, Industry 5.0, Society 5.0.Abstract
While industry 5.0 is a human-centered shift that focuses on the integration of cutting-edge technology with human skills and talent, Education 5.0 is a result of the substantial influence of the Industry 5.0 and Society 5.0 on education. In this study, we coin the term Student 5.0, a generation that learns skills that are becoming more and more crucial in the modern workplace as a consequence of merging the features of Industry 5.0 and Education 5.0. This study proposes combining two powerful prediction models: Adaboost and deep learning to form AdaDeep. AdaDeep prediction analysis was used on a student data set to discover the AI capabilities that students should acquire to thrive in the Industry 5.0 era. The goal is to gain insight into how the human centralization feature of industry 5.0 could assist in making improvements to the educational process. The findings of this study suggests that the reinforcement of the use of AI and individualized learning is what characterizes this new era of personalized and efficient education. In addition, Education 5.0 has increased the focus on Industry 5.0 soft skills like critical thinking, cooperation, and the ability to communicate effectively with both humans and machines (robots). To better prepare students for the job market, educational institutions should incorporate these abilities into the curriculum.
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X. Xu, Y. Lu, B. Vogel-Heuser, and L. Wang, “Industry 4.0 and Industry 5.0—Inception, conception and perception,” J. Manuf. Syst., 2021, doi: 10.1016/j.jmsy.2021.10.006.
N. Jafari, M. Azarian, and H. Yu, “Moving from Industry 4.0 to Industry 5.0: What Are the Implications for Smart Logistics?,” Logistics. 2022. doi: 10.3390/logistics6020026.
M. C. Zizic, M. Mladineo, N. Gjeldum, and L. Celent, “From Industry 4.0 towards Industry 5.0: A Review and Analysis of Paradigm Shift for the People, Organization and Technology,” Energies. 2022. doi: 10.3390/en15145221.
D. Paschek, A. Mocan, and A. Draghici, “Industry 5 . 0 – The Expected Impact of Next Industrial Revolution,” Manag. Knowl. Learn. Int. Conf., 2019.
S. Nahavandi, “INDUSTRY 5 . 0 definition,” Sustainability, 2019.
Y. Almurtadha, O. S. Mohammed, H. Mirghani, and M. Ghaleb, “Investigating the Relationship Between Medicine Student’s Lifestyle and Their Academic Performance,” in Lecture Notes in Networks and Systems, 2022. doi: 10.1007/978-3-030-85990-9_37.
M. Yağcı, “Educational data mining: prediction of students’ academic performance using machine learning algorithms,” Smart Learn. Environ., 2022, doi: 10.1186/s40561-022-00192-z.
T. T. Huynh-Cam, L. S. Chen, and H. Le, “Using decision trees and random forest algorithms to predict and determine factors contributing to first-year university students’ learning performance,” Algorithms, 2021, doi: 10.3390/a14110318.
E. A. Yekun and A. T. Haile, “Student Performance Prediction with Optimum Multilabel Ensemble Model,” J. Intell. Syst., 2021, doi: 10.1515/jisys-2021-0016.
[J. Dai, “Improving Random Forest Algorithm for University Academic Affairs Management System Platform Construction,” Adv. Multimed., 2022, doi: 10.1155/2022/8064844.
M. Breque, L. De Nul, and A. Petrides, Industry 5.0 - Towards a sustainable, human- centric and resilient European industry. 2021.
S. Saniuk, S. Grabowska, and M. Straka, “Identification of Social and Economic Expectations: Contextual Reasons for the Transformation Process of Industry 4.0 into the Industry 5.0 Concept,” Sustain., 2022, doi: 10.3390/su14031391.
S. Grabowska, S. Saniuk, and B. Gajdzik, “Industry 5.0: improving humanization and sustainability of Industry 4.0,” Scientometrics, 2022, doi: 10.1007/s11192-022-04370-1.
D. Mourtzis, J. Angelopoulos, and N. Panopoulos, “A Literature Review of the Challenges and Opportunities of the Transition from Industry 4.0 to Society 5.0,” Energies. 2022. doi: 10.3390/en15176276.
P. K. R. Maddikunta et al., “Industry 5.0: A survey on enabling technologies and potential applications,” Journal of Industrial Information Integration. 2022. doi: 10.1016/j.jii.2021.100257.
A. Adel, “Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas,” Journal of Cloud Computing. 2022. doi: 10.1186/s13677-022-00314-5.
S. Suryadi, D. Kushardiyanti, and R. Gusmanti, “Challenges of Community Empowerment in the Era of Industry Society 5.O,” Kolok. J. Pendidik. Luar Sekol., 2021, doi: 10.24036/kolokium-pls.v9i2.492.
M. Ghobakhloo, M. Iranmanesh, M. F. Mubarak, M. Mubarik, A. Rejeb, and M. Nilashi, “Identifying industry 5.0 contributions to sustainable development: A strategy roadmap for delivering sustainability values,” Sustain. Prod. Consum., 2022, doi: 10.1016/j.spc.2022.08.003.
S. Huang, B. Wang, X. Li, P. Zheng, D. Mourtzis, and L. Wang, “Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution,” J. Manuf. Syst., 2022, doi: 10.1016/j.jmsy.2022.07.010.
J. Leng et al., “Industry 5.0: Prospect and retrospect,” J. Manuf. Syst., 2022, doi: 10.1016/j.jmsy.2022.09.017.
H. Mansur, A. H. Utama, M. H. Mohd Yasin, N. P. Sari, K. A. Jamaludin, and F. Pinandhita, “Development of Inclusive Education Learning Design in the Era of Society 5.0,” Soc. Sci., 2023, doi: 10.3390/socsci12010035.
D. Gürdür Broo, O. Kaynak, and S. M. Sait, “Rethinking engineering education at the age of industry 5.0,” J. Ind. Inf. Integr., 2022, doi: 10.1016/j.jii.2021.100311.
A. D. Lantada, “Engineering education 5.0: Continuously evolving engineering education,” Int. J. Eng. Educ., 2020.
C. Vimal and E. Alexander, “Exploring Educators’ Acceptance on Education 5.0 and Their Anxiety Towards Its Implementation: A Research Inquiry,” in RASSE 2023 - IEEE International Conference on Recent Advances in Systems Science and Engineering, Proceedings, 2023. doi: 10.1109/RASSE60029.2023.10363499.
Usmaedi, “EDUCATION CURRICULUM FOR SOCIETY 5.0 IN THE NEXT DECADE,” J. Pendidik. Dasar Setiabudhi, 2021.
Y. Falaq, “Education of Citizenship in Higher Education as A Fortress of Nation Characters in Facing Era Society 5.0,” J. Educ. Sci., 2020, doi: 10.31258/jes.4.4.p.802-812.
M. Keshav, L. Julien, and J. Miezel, “The Role Of Technology In Era 5.0 In The Development Of Arabic Language In The World Of Education,” J. Int. Ling. Technol., 2022, doi: 10.55849/jiltech.v1i2.85.
E. G. Carayannis and J. Morawska-Jancelewicz, “The Futures of Europe: Society 5.0 and Industry 5.0 as Driving Forces of Future Universities,” J. Knowl. Econ., 2022, doi: 10.1007/s13132-021-00854-2.
D. Ydyrysbayev, L. S. Kakimova, B. G. Sailaubaikyzy, S. Y. Talgatbekovich, A. Urmatova, and E. Orazbaev, “Determining the Digital Transformation in Education in the Society 5.0 Process,” Int. J. Emerg. Technol. Learn., 2022, doi: 10.3991/ijet.v17i18.32331.
K. Nikum, “Answers to the Societal Demands with Education 5.0: Indian Higher Education System,” J. Eng. Educ. Transform., 2022.
M. J. Sá and S. Serpa, “Higher Education as a Promoter of Soft Skills in a Sustainable Society 5.0,” J. Curric. Teach., 2022, doi: 10.5430/JCT.V11N4P1.
Ł. Sułkowski, K. Kolasińska-Morawska, R. Seliga, and P. Morawski, “Smart learning technologization in the economy 5.0—the polish perspective,” Appl. Sci., 2021, doi: 10.3390/app11115261.
H. A. Almusawi, C. M. Durugbo, and A. M. Bugawa, “Innovation in physical education: Teachers’ perspectives on readiness for wearable technology integration,” Comput. Educ., 2021, doi: 10.1016/j.compedu.2021.104185.
G.-M. Petrașcu, “Students’ Perceptions of AI in Education,” Kaggle, 2023. https://www.kaggle.com/datasets/gianinamariapetrascu/survey-on-students-perceptions-of-ai-in-education (accessed May 23, 2023).
B. Rondović, L. Kašćelan, V. Lazović, and T. Đuričković, “Discovering the determinants and predicting the degree of e-business diffusion using the decision tree method: evidence from Montenegro*,” Inf. Technol. Dev., 2019, doi: 10.1080/02681102.2017.1415863.
L. Breiman, “Random forests,” Mach. Learn., 2001, doi: 10.1023/A:1010933404324.
A. Shahraki, M. Abbasi, and Ø. Haugen, “Boosting algorithms for network intrusion detection: A comparative evaluation of Real AdaBoost, Gentle AdaBoost and Modest AdaBoost,” Eng. Appl. Artif. Intell., 2020, doi: 10.1016/j.engappai.2020.103770.
D. T. K. Ng, J. K. L. Leung, J. Su, R. C. W. Ng, and S. K. W. Chu, “Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world,” Educ. Technol. Res. Dev., 2023, doi: 10.1007/s11423-023-10203-6.
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