scholarly journals Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers

2021 ◽  
Vol 13 (15) ◽  
pp. 8339
Author(s):  
Ardvin Kester S. Ong ◽  
Yogi Tri Prasetyo ◽  
Michael Nayat Young ◽  
John Francis T. Diaz ◽  
Thanatorn Chuenyindee ◽  
...  

The decline of enrollees for industrial engineering during the COVID-19 pandemic and the increasing demand for professional industrial engineers should be explored. The purpose of this study was to determine the preference of industrial engineering students of different educational levels on online learning during the COVID-19 pandemic. Specifically, this study utilized conjoint analysis with orthogonal design considering seven attributes: delivery type, layout, term style, final requirements, Coursera requirements, seatwork and practice sets, and platforms. Among the attributes, 20 stimuli were created through SPSS and were answered voluntarily by 126 respondents utilizing a 7-point Likert Scale. The respondents were comprised of 79 undergraduate, 30 fully online master’s degree, and 17 master’s and doctorate degree students collected through purposive sampling. One university from the two available universities that offer all educational levels of IE in the Philippines was considered. The results showed that undergraduate students considered the final requirements with multiple-choice as the highest preference, followed by non-modular term style, and no seatwork and practice sets. In addition, fully online master’s degree students considered delivery type with the mix as the highest preference, followed by layout, and no seatwork and practice sets. Finally, master’s and doctorate degree students considered final requirements with publication as the highest preference, followed by no seatwork and practice sets, and mix delivery type. The students are technologically inclined, want to learn at their own pace, know where and how to get additional online learning materials, but still need the guidance of teachers/professors. The results would help contribute to the theoretical foundation for further students’ preference segmentation, specifically on online learning during the COVID-19 pandemic worldwide. Moreover, the design created could be utilized for other courses in measuring students’ preference for online learning even after the COVID-19 pandemic.

2016 ◽  
Vol 84 (2) ◽  
pp. 180-185
Author(s):  
Eduardo Esteban Montalvo-Javé ◽  
Germán Eduardo Mendoza-Barrera ◽  
Alan Isaac Valderrama-Treviño ◽  
Stefany Alcántara-Medina ◽  
Nain Abraham Macías-Huerta ◽  
...  

2021 ◽  
Vol 27 (1) ◽  
pp. 50-57
Author(s):  
Sirorat Pattanapairoj ◽  
Krisanarach Nitisiri ◽  
Kanchana Sethanan

Abstract Industry 4.0 is an era in which the manufacturing industry has adopted digital technologies and the Internet to enable smart manufacturing system, machines used in the production now can communicate with each other and exchange information between each other, and the machinery used in the manufacturing process is more modern and precise. Therefore, educational institutions should develop the curriculum to produce qualified graduates with the knowledge required for the Industry 4.0 era, especially Industrial Engineering graduates who are directly related to the industry sector. The purpose of this research is to collect the data for the Master of Industrial Engineering (MSIE) curriculum development. The Analytic Hierarchy Process (AHP) technique is used to rank the indicators of knowledge that is important to the employment of graduates with a master’s degree in Industrial Engineering, and study the gap between the expectations of employers and the ability of the current MSIE students of Khon Kaen University. The results of the study reveal that the first indicators that are most important to the employment of MSIE graduates is the knowledge of Industry 4.0 strategy and the knowledge that the students should have developed are the collaboration of humans and robots, big data analytics, real time data usage and databased decision making.


Author(s):  
Carlos Llopis-Albert ◽  
Francisco Rubio

<p>This paper presents a methodology to evaluate transversal competences in the context of the subject “Design and application of industrial equipment” in the Master's Degree in Industrial Engineering at Universitat Politècnica de València (Spain). The competency-based education implies several activities, such as a project-based learning that must be eventually defended in public by students in groups. Evidence of learning is collected based on a well-defined system of rubrics and indicators, which are known in advance by students. We have observed that the use of such techniques improves the students learning on the contents of the subject, allows to acquire the transversal competences related to the analysis and problem solving, and enhances the ability to understand concepts intuitively. Moreover, results clearly show a positive influence on the use of such tools for improving the professional and ethical commitment to the issues raised.</p>


Author(s):  
Mónica Martínez-Gómez ◽  
◽  
José Jabaloyes ◽  
Andrea Conchado Peiró

This work presents an improvement of the structure and methodology of a subject entitled Management, belonging to the Master's Degree in Industrial Engineering (ETSII) at the Universitat Politècnica de València (UPV). The presented subject deals with the basic and fundamental aspects that the student will need in order to correctly perform the functions of business management in changing and competitive markets and environments and contributes to the formation of professionals capable of carrying out management, direction and evaluation tasks in productive organizations. From the subject, the students' management skills are strengthened to elaborate and build strategic alternatives of decision, both in relation to the understanding of the problems, as well as in the decision making and in the evaluation of the consequences that the own actions can have for the company and for the people. It is centered on the improvement of professional skills. In this context, UPV transversal competences (TC), aim to synthesize a competence profile acquired by all UPV graduates. This study comes from an Institutional Educational Innovation and Improvement Projects to develop a methodological coordination through webs of support in ETSII CT (PIME/19-20/151). The main goal of this project was to make easier our students to acquire the more complex CTs-UPV with an effective model that does not place an additional burden on instructors, providing students with e-learning resources such as support for their training. This study is focused in CT04.-Innovation, Creativity and Entrepreneurship. Innovation is shown as a key competence for companies to remain competitive in the market. Innovation is based on creativity, knowledge and organization, understood as a way of working to achieve objectives. A new trend in higher education is the current shift towards improving innovation, creativity and entrepreneurship of students. To work on these skills, students of Management have to do different exercises in groups where there are 4 to 6 randomly selected students with different roles. Each working group will start by creating a company, on which the different tools and methodologies will be developed through practical cases to achieve innovative and creative solutions that add value to the main stakeholders. The achievement of the proposed techniques for developing Innovation, Creativity and Entrepreneurship competency has been revealed as a significant aspect for the students, and the web CTs-UPV designed on the project (https://ctetsii.blogs.upv.es) has been considered as a strong support for their achievement.


Author(s):  
María Sancho ◽  
Beatriz García-Fayos ◽  
Esperanza María García-Castelló ◽  
Manuel César Martí-Calatayud ◽  
Antonio Diego Rodríguez-López ◽  
...  

Author(s):  
Esther Salmerón-Manzano ◽  
Jose Antonio Garrido-Cárdenas ◽  
Nuria Novas Castellano ◽  
Rosa Maria García-Salvador ◽  
Manuel Fernández-Ros ◽  
...  

Author(s):  
Matthew Bahnson ◽  
Heather Perkins ◽  
Derrick Satterfield ◽  
Mackenzie Parker ◽  
Marissa Tsugawa ◽  
...  

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