scholarly journals Integrating Manufacturing-related Materials and Quality Control Standards into Master-level Engineering Education

2020 ◽  
Author(s):  
Hua Li ◽  
Kai Jin
Author(s):  
Irina Neaga

This research work-in-progress deals with a holistic analysis of the impacts of Industry 4.0 (I4.0) for engineering education especially for University undergraduate (level 4-6), master (level 7) and PhD related manufacturing, automotive engineering and supply chain management programmes in United Kingdom higher education institutions. This analysis aims at providing support for further consolidated recommendations to enable the development of higher education engineering curriculum for enhancing I4.0 application for smart organisations and industrial companies within the digital supply chains. Also the paper provides an analysis of advancement from digitalisation in engineering education to the implementation of Education 4.0 and related practices of smart labs, and simulation of smart factories leading at the learning factory. A conceptual framework to support the application of big data and learning analytics in the School of Engineering from University of Wales Trinity St David, Swansea, United Kingdom has been identified, discussed and intended to apply in the context of applying learning analytics.


2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Abdelrahim Minalla

For decades Sudan, like most of Sub-Saharan African countries, has been facing profound engineering education issues, namely: poor funding, outdated curricula, ineffective teaching and learning methods, inadequate human capacity, poor research/publishing condition, inappropriate facilities, inadequate educational technology and ICT environment, weak university/industry relationship, lack of academic freedom, and missing of quality control and accreditation measures. The paper discussed these issues, and proposed solutions such as redesign of flexible curriculum, adopting learner-centered approach, and developing hiring structure that focuses on recruiting and retaining qualified educators, with the goal of graduating a high rate of qualified engineers, ready for the 21st century.


Electronics ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 230
Author(s):  
Martin Pajpach ◽  
Oto Haffner ◽  
Erik Kučera ◽  
Peter Drahoš

The main purposes of this paper are to offer a low-cost solution that can be used in engineering education and to address the challenges that Industry 4.0 brings with it. In recent years, there has been a great shortage of engineering experts, and therefore it is necessary to educate the next generation of experts, but the hardware and software tools needed for education are often expensive and access to them is sometimes difficult, but most importantly, they change and evolve rapidly. Therefore, the use of cheaper hardware and free software helps to create a reliable and suitable environment for the education of engineering experts. Based on the overview of related works dealing with low-cost teaching solutions, we present in this paper our own low-cost Education Kit, for which the price can be as low as approximately EUR 108 per kit, for teaching the basic skills of deep learning in quality-control tasks in inspection lines. The solution is based on Arduino, TensorFlow and Keras, a smartphone camera, and is assembled using LEGO kit. The results of the work serve as inspiration for educators and educational institutions.


1999 ◽  
Vol 13 (2) ◽  
pp. 112-118 ◽  
Author(s):  
M. Fehr

Continuing from previous work in which a new teaching philosophy was developed, this paper discusses the management tools used to make it function in practice. Teaching has become virtual. Time has been promoted to the single most important resource, is used efficiently and accounted for accurately. Quality control has become a common tool of performance evaluation. The relationship between teacher and students mimics an industrial setting in which results are required and tolerance levels are low. Excellent technical documents are produced. The ratio of knowledge gained to time spent has reached an optimum level and job satisfaction of both teacher and students is high.


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