The Teamwork Conundrum: What Should be Taught and How Can We Assess Team Learning in Engineering Technology (original) (raw)
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2011 ASEE Annual Conference & Exposition Proceedings
Master of Science degree in Chemical Engineering/Process Control from the University of Alberta, and the Doctor of Philosophy degree in Chemical Engineering/Process Control from Lehigh University. His research interests focus on process control systems, process modeling and simulation, artificial intelligence and expert systems. His professional experience includes management and technical positions with chemicals, refining, and consulting companies. He has published and presented a number of papers on advanced process control, real-time optimization systems, adaptive control, artificial intelligence and expert systems. He is a member of AIChE.
Experimental Teaching of Process Control Principles Supported by Intelligent Tutoring Systems
The method of process control teaching of chemical engineering students and engineering by means of cybernetic model of a system, supported by the experimental plant developed in a laboratory, is presented. The process has been designed and adapted so it would enable teaching in both traditional and modern control methods. The method is then considered as a basis for development of intelligent tutoring system, that comprises an original interactive system, while its author shell has been built with a knowledge base on process control methods and experimental research.
Chapter A Framework for Learning System for Complex Industrial Processes
2021
Due to the intense price-based global competition, rising operating cost, rapidly changing economic conditions and stringent environmental regulations, modern process and energy industries are confronting unprecedented challenges to maintain profitability. Therefore, improving the product quality and process efficiency while reducing the production cost and plant downtime are matters of utmost importance. These objectives are somewhat counteracting, and to satisfy them, optimal operation and control of the plant components are essential. Use of optimization not only improves the control and monitoring of assets, but also offers better coordination among different assets. Thus, it can lead to extensive savings in the energy and resource consumption, and consequently offer reduction in operational costs, by offering better control, diagnostics and decision support. This is one of the main driving forces behind developing new methods, tools and frameworks. In this chapter, a generic le...
Being a leading technological higher education institute in the country, Universiti Teknologi Malaysia (UTM) is aggressively encouraging teaching staff to enhance teaching and learning to produce graduates who are relevant in today's highly competitive world. To achieve this goal, grassroots awareness and training campaign, followed by encouragements are rigorously made. Active learning techniques, especially the Cooperative Learning (CL) and Problem Based Learning (PBL) are currently being promoted across all disciplines as well as levels of studies. This effort which was initiated by a group of enthusiastic teaching staff received a welcome endorsement from the highest level of university administrative key personnel. A special task force called CL-PBL Support Group was then set up to facilitate the promotion of CL and PBL practices across the board. At implementation level, faculty-based core groups were set up and trained to acquire and apply the necessary knowledge and teaching skills pertaining to these active learning approaches. This paper describes strategies and efforts to convince and encourage the implementation of active learning techniques among teaching staff and administrators, especially those in the engineering and engineering-related faculties. Training and support provided to academic staff are also discussed. Finally, factors that influence the success of university-wide implementation will be included.
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2020 ASEE Virtual Annual Conference Content Access Proceedings
joined the faculty as an Assistant professor of Chemical Engineering at West Virginia University (WVU) in January 2013. He is now Associate Professor of Chemical Engineering since August, 2019. His research group at WVU focuses on the development and implementation of process systems engineering methods for process design and intensification, advanced control and state estimation, modular energy systems and sustainability. He received his B.S. degree from the University of São Paulo in 2003 and his Ph.D. from Tufts University in 2007, both in Chemical Engineering. Upon completion of his Ph.D., he was a research associate at the University of Wisconsin-Madison and a postdoctoral associate at the University of Minnesota. Dr.
Chemical engineering transactions, 2017
This study was conducted to investigate the development of teamwork skills among first year chemical engineering students using Cooperative Problem-Based Learning in “Introduction to Engineering” course. A pre and post-test questionnaire using Team Assessment Tool (TAT) established by Moore and colleagues was administered to 52 first-year chemical engineering undergraduates. This instrument is useful to measure individuals’ rate on team’s performance using 24 Likert-scale items. The main constructs for this instrument consist of interdependency, potency, goal-setting and learning. The descriptive analysis provides the mean, standard deviation and frequency to see the significance of the pre and post-test results. The paired sample t- test was used to determine the significant differences of teamwork level between at the beginning and end of the course. The results from paired sample t-test shows that there was significant increment (p < 0.05) for teamwork in its constructs like i...
The Process Control and Dynamics course in the undergraduate Chemical Engineering programme at Universiti Teknologi Malaysia underwent a gradual change in the way it was taught since 2002, by incorporating Cooperative Learning (CL), Problem-based Learning (PBL) and finally Cooperative Problem-based Learning (CPBL). CPBL is the integration of CL principles into the PBL cycle to support the implementation of PBL in a typical class setting, where students are gathered in small groups of three to five in a medium class size of up to sixty students for one floating facilitator. Currently, more than 90% of the course is covered using CPBL with four problems. To ensure coverage of the course syllabus using the problems, and the necessary support for attaining outcomes using CPBL throughout the semester, proper planning must be made ahead of time. This paper explains how to plan the time frame for the problems within a semester consisting of fourteen weeks. Planning is necessary so that a suitable length of time can be allotted to ensure that students can go through the CPBL cycle for each problem, while allowing for scaffolding activities needed to support students to learn. Efforts to innovate the teaching of the course have positive impacts towards students. Research conducted on the implementation of CPBL showed that there was significant increases in students' motivation towards learning the course, as well as their learning strategies and team-based problem solving skills.
Chemical process control education and practice
IEEE Control Systems Magazine, 2001
C hemical process control textbooks and courses differ significantly from their electrical or mechanical-oriented brethren. It is our experience that colleagues in electrical engineering (EE) and mechanical engineering (ME) assume that we teach the same theory in our courses and merely have different application examples. The primary goals of this article are to i) emphasize the distinctly challenging characteristics of chemical processes, ii) present a typical process control curriculum, and iii) discuss how chemical process control courses can be revised to better meet the needs of a typical B.S.-level chemical engineer.
Advanced Applications in Process Control and Training Needs of Field and Control Room Operators
IIE Transactions on Occupational Ergonomics and Human Factors, 2014
OCCUPATIONAL APPLICATIONS Operators play a vital role in production and safety in industrial processes. Since the introduction of advanced control techniques, such as model predictive control and real-time optimization, operators' acquisition of adequate mental models to develop complex cause-and-effect relationship explaining plant behavior has been increasingly challenged. Additionally, distinct challenges have arisen with respect to crew coordination between control room and field operators to orchestrate a coordinated flow of actions to assess situations or choose a course of action. Based on an analysis of training needs, it is argued that traditional training practice, such as the use of operator training simulators, could be advanced by using current training environments, such as virtual reality training simulators. This would allow using modern training technology and its advancements in parallel to the advancements of control techniques to support production and safety at its best.
A Framework for Learning System for Complex Industrial Processes
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Due to the intense price-based global competition, rising operating cost, rapidly changing economic conditions and stringent environmental regulations, modern process and energy industries are confronting unprecedented challenges to maintain profitability. Therefore, improving the product quality and process efficiency while reducing the production cost and plant downtime are matters of utmost importance. These objectives are somewhat counteracting, and to satisfy them, optimal operation and control of the plant components are essential. Use of optimization not only improves the control and monitoring of assets, but also offers better coordination among different assets. Thus, it can lead to extensive savings in the energy and resource consumption, and consequently offer reduction in operational costs, by offering better control, diagnostics and decision support. This is one of the main driving forces behind developing new methods, tools and frameworks. In this chapter, a generic le...