READINESS ASSESSMENT OF PUBLIC UNIVERSITY IN BANGLADESH FOR EDUCATION 4.0: A CASE STUDY OF SHAHJALAL UNIVERSITY OF SCIENCE AND TECHNOLOGY – SYLHET, BANGLADESH

Authors

  • Md Nazrul Islam Department of Business Administration, Shahajalal University of Science and Technology, Sylhet -3114, Bangladesh

DOI:

https://doi.org/10.53808/KUS.2022.ICSTEM4IR.0139-se

Keywords:

Industry 4.0, Education 4.0, Advancement of E4.0 of, SUST

Abstract

In order to get the benefits of Industry 4.0 (4ir) we need the graduates   who are able to face the challenges of 4ir. As the universities are the main sources of producing graduates, they should produce adaptable graduates of 4ir. The 4ir demands such a system of   higher education where each and every stakeholders especially educators and learners should be connected in a globalized automated environment, networked, virtualized and flexible. In the paradigm of 4ir learners should learn to learn the sources of learning how to build knowledge and skills within the process of teaching –learning. The study aims to identify the dimensions of E4.0 corresponding to 4ir and to assess the readiness of Shahjalal University of Science and Technology (SUST) is one of 50 public universities of Bangladesh. At present there are 28 disciplines in six schools of studies in SUST and among them 20 departments have been selected for the study based on minimum 10 years of establishment. The assessment has been focused on four aspects mainly curriculum, teacher (faculty), intuitional qualification and logistic supports in terms of E4.0.  In conducting the study data from collected 120 teachers and graduate students with a structured questionnaire. The questionnaire was five point scales. The collected data was analyzed with SPSS and mainly frequency in each dimension was found and finally factor analysis was done to find the factors affecting E4.0.  The frequency distribution showed that Robotic Process Automation aspects ranked first following cloud computing, data analytics, IoT, AI, and BCT. The factor analysis showed that  seventeen aspects have been  considered as important and the top most five aspects are fees and rewards, data as a service, software as a service, AI extraction and user device.

Downloads

Download data is not yet available.

References

Beyza, H., Damla, A. Y. and Bayrak, D. C. (2020). Education 4.0: Defining The Teacher, The Student, And The School Manager Aspects Of The Revolution. Turkish Online Journal of Distance Education-TOJDE, Special Issue Article 2.

Bloem, J., Doorn, V. M., Duivestein, P., Excoffier, D., Maas, R. & Ommeren, V. E. (2014). The fourth industrial revolution. Things to tighten the link between IT and OT. SOGETI: VINT Research Report 3 of 4.

Bulla, C., Hunshal, B., Mehta, S. (2016). Adoption of Cloud Computing in Education System: A Survey, International Journal of Engineering Science and Computing, 6(6).

Chen, L., Chen, P. and Lin, Z. (2020). Artificial Intelligence in Education: A Review, IEEE ACCESS.

Gehrke, L, Kühn. A. T., Rule, D., Moore, P., Bellmann, C., Siemes, S. et al. (2015). A Discussion of Qualifications and Skills in the Factory of the Future: A German and American Perspective.

Harkins, A. M. (2008). Leapfrog principles and practices: Core components of education 3.0 and 4.0. Futures Research Quarterly, 24(1), 19-31.

Hermann, M., Pentek, T. Otto, V. B. (2016). Design principles for industrie 4.0 scenariop. 49th Hawaii International Conference on System Sciences.

Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann,.M. (2014). Industry 4.0. Business & Information Systems Engineering, 6, 239-242.

Lee, J. A. (2014). Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems A Cyber-Physical Systems architecture for Industry, Society of Manufacturing Engineers, 3, 18–23.

Manly, B. F. J. (2005). Multivariate Statistical Methods: A Primer, Third Edition, Chapman & Hall CRC.

Mendez, C. A. and Gebresenbet, B. D. (2019). Blockchain Technology Applications in Education, - International Journal of Computing and Technology, 6(11).

Moravec, J. W. (2013). Rethinking human capital development in Knowmad Society, J.W. Moravec (Ed.), Knowmad society, 31-56.

Nelles, J., Kuz, S., Mertens A., .Schlick C. M. (2016). Human-centered design of assistance systems for production planning and control. IEEE International Conference on Industrial Technology (ICIT), Taipei, 2099-2104.

Palanivel, K. and Suresh, J. K. (2020). Robotic Process Automation to Smart Education, International Journal of Creative Research Thoughts, 8(6).

Peters, M. A. (2017). Technological unemployment: Educating for the fourth industrial revolution. Journal of Self-Governance and Management Economics, 5(1), 32-41.

Rencher, A.C. (2002). Methods of Multivariate Analysis, Second Edition, Wiley-Inderscience.

Sardareh, S. A., Saad, M. R. M., Othman, A. J., Me, R. C. (2014). Enhancing Education Quality Using Educational Data, Scholars Journal of Arts, Humanities and Social Sciences, 2(3B), 440-444.

Vinayachandra & Prasad, P. K. (2020). Application of IoT in the Development of Intelligent Education System – A Thematic Literature Review, International Journal of Management, Technology and Social Sciences (IJMTS), 5(1).

Kiran, Y. (2014). Role of Cloud Computing in Education, International Journal of Innovative Research in Computer and Communication Engineering, 2(2).

Downloads

Published

23-11-2022

How to Cite

[1]
M. N. . Islam, “READINESS ASSESSMENT OF PUBLIC UNIVERSITY IN BANGLADESH FOR EDUCATION 4.0: A CASE STUDY OF SHAHJALAL UNIVERSITY OF SCIENCE AND TECHNOLOGY – SYLHET, BANGLADESH”, Khulna Univ. Stud., pp. 775–787, Nov. 2022.

Most read articles by the same author(s)