Abstract
Revolutions in technology in past few decades have generated complete transformations in natural orthodox processes owned by industry, education and healthcare, disrupting work flow processes and generating out of box solutions and processes. Industry 4.0 has increased the demand for revolutionary changes in education and pedagogical approach in education. Engineering education is directly affected by the revolutionary demand of industry. Disruptive technology has directly affected all the core branches: Mechanical, electrical, electronics, civil engineering. Exponentially evolving technological innovations are described as Volatile, Uncertain, Complex and Ambiguous and to make students industry ready, changes in engineering curriculum are required. The current work is sincere effort to analyze the issues and challenges required in all branches of engineering for industry 4.0. The objective of the work is to analyze and identify the major disruptive technology with their influential effect on core engineering branches. The work also discusses the necessary changes required to incorporate concept of engineering 4.0.
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References
Ciolacu M, Svasta P, Berg W, Popp H (2017) Education 4.0 for tall thin engineer in data driven society. In: IEEE 23rd international symposium SIITME, Constanta, Romania, pp 432–437
Ciolacu M, Tehrani AF, Beer R, Popp H (2017) Education 4.0—fostering student performance with machine learning methods. In: Proceedings of IEEE 23rd international symposium SIITME, Constanta, Romania, pp 438–443
Giusto D, Iera A, Morabito G, Atzori L (eds) (2010) The internet of things. Springer, Berlin. ISBN: 978-1-4419-1673-0
National Intelligence Council (2008) Disruptive civil technologies—six technologies with potential impacts on US interests out to 2025—conference report CR 2008-07, April 2008. http://www.dni.gov/nic/NIC_home.html
Lasi H, Fettke P, Kemper HG, Feld T, Hoffmann M (2014) Industry 4.0. Bus Inf Syst Eng 2(6):239–242
Dujin A, Geissler C, Horstkötter D (2014) Industry 4.0 the new industrial revolution how Europe will succeed. Rol Berger Strateg. Consult, pp 1–24
Jazdi N (2014) Cyber physical systems in the context of Industry 4.0. In: IEEE international conference on automation, quality and testing, robotics, Cluj-Napoca, May 2014, pp 1–4
Maxmen A (2018) AI researchers embrace bitcoin technology to share medical data. Nature 555:293–294
Dinh N, Thai MT (2018) Ai and blockchain: A disruptive integration. Computer 51(9):48–53
Ahmed WK, Alhamad IM (2018) 3D printing innovations in UAE: Case study: Abu Dhabi summer challenge 2017. In: 2018 advances in science and engineering technology international conferences (ASET)
Pereira T, Potgieter J, Kennedy JV (2017) A fundamental study of 3D printing testing methods for the development of new quality management strategies. In: 2017 24th International conference on mechatronics and machine vision in practice (M2VI) IEEE Conference
Sultan N (2013) Knowledge management in the age of cloud computing and web 2.0: experiencing the power of disruptive innovations. IEEE Eng Manag Rev 41(4)
Baynham-Herd Z (2017) Enlist blockchain to boost conservation. Nature 548(7669):523
de A. Azevedo RG, Birkbeck N, De Simone F, Janatra I, Adsumilli B, Frossard P (2019) Visual Distortions in 360-degree videos. IEEE Trans Circuits Syst for Video Technol. Early Access Article
Lhachemi H et al (2019) Augmented reality, cyber-physical systems, and feedback control for additive manufacturing: a review. IEEE Access 7. https://doi.org/10.1109/ACCESS.2019.2907287
Wunder G, Kasparick M et al (2013) 5G NOW: challenging the LTE design paradigms of orthogonality and synchronicity. In: Proceedings of IEEE 77th vehicular technology conference, pp 1–5. https://doi.org/10.1109/vtcSpring.2013.669181
Nagul S (2018) A review on 5G modulation schemes and their comparisons for future wireless communications. In: Conference on signal processing and communication engineering systems (SPACES)
Zhamanov A, Sakhiyeva Z, Suliyev R, Kaldykulova Z (2017) IoT smart campus review and implementation of IoT applications into education process of university. In: 13th IEEE international conference on electronics, computer and computation (ICECCO)
Braun P, Cuzzocrea A, Leung CK, Pazdor AGM, Souza J, Tanbeer SK (2019) Pattern mining from big IoT data with fog computing: models, issues, and research perspectives. In: 19th IEEE/ACM international symposium on cluster, cloud and grid computing (CCGRID)
Schuster K, Grob K, Vossen R, Richert A, Jeschke S (2015) Preparing for Industry 4.0–Collaborative virtual learning environments in engineering education. In: International conference on e-learning in the workplace (ICELW), New York, pp 1–6
Hakeem, Hamami (2015) Flip teaching framework based on multi-tier architecture. Int J Adv Res Comput Sci Softw Eng 5(6). ISSN: 2277 128X
Ennouamani S (2017) An overview of adaptive e-learning systems. In: IEEE 9th international conference intelligent computing and information systems (ICICIS 2017), pp 342–347
Craig KC, Nagurka ML (2010) Multidisciplinary engineering systems: 2nd and 3rd year college-wide course. In: IEEE conference on transforming engineering education: creating interdisciplinary skills for complex global environments, pp 1–15
Cresson E, Flynn P, Bangeman M (1995) White paper on education and training: teaching and learning towards the learning society. European Council, Cannes
Lee J, Bagheri B, Kao HA (2015) A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manuf Lett 3:18–23
Huba M, Orbánová I (1999) Pružné vzdelávanie (Flexible learning). Vydavateľstvo STU Bratislava. The 50 most popular MOOCs of all time 2016, https://www.onlinecoursereport.com/the-50-most-popular-moocs-of-all-time/
Huba M, Rovanová L, Marko L (2013) From automatic feedback systems to MOOCs. In: 2013 IEEE 11th international conference on emerging eLearning technologies and applications (ICETA), pp 151–158
Rossiter JA (2014) Lecture flipping for control engineers. In: IFAC world congress, Cape Town, South Africa
Huba M, Halás M (2011) Hydraulic plants for face-to-face training and remote experiments. In: ICETA 2011—9th IEEE international conference on emerging eLearning technologies and applications, proceedings, pp 79–81
Bistak P (2012) Mobile client for thermo optical remote laboratory. In: 2012 15th international conference on interactive collaborative learning, ICL 2012
Prinz C, Morlock F, Freith S, Kreggenfiels N, Kremeier D, Kuhlenkoetter B (2016) Learning factory modules for smart factories in Industrie 4.0. Proc CIRP 54:7–12
Callaghan MJ, McCusker K, Lopez Losada J, Harkin JG, Wilson S (2009) Teaching engineering education using virtual worlds and virtual learning environments. In: International conference on advances in computing, control, and telecommunication technologies, 5 February 2016. http://edtc6325group2.pbworks.com/f/engineering%2Band%2Bvirtual%2Bworlds.pdf
Schuster K, Groß K, Vossen R, Richert A, Jeschke S (2015) Preparing for industry 4.0—collaborative virtual learning environments in engineering education. In: Proceedings of the international conference on e-learning in the workplace (ICELW 2015). New York, 10–12 June 2015
Richert A et al (2015) Learning 4.0. virtual immersvie engineering education. Digit Univ Int Best Pract Appl 2
Schumacher C, Ifenthaler D (2018) Features students really expect form learning analytics. Comput Hum Behav 78:397–407
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Khanna, P., Kumar, S. (2020). Engineering 4.0: Future with Disruptive Technologies. In: Rosa Righi, R., Alberti, A., Singh, M. (eds) Blockchain Technology for Industry 4.0. Blockchain Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-15-1137-0_7
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DOI: https://doi.org/10.1007/978-981-15-1137-0_7
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