scholarly journals What can engineers learn from the past? A potential role for history in engineering education.

Author(s):  
Andrea Gaynor ◽  
Greg Crebbin

At present, in many societies, engineers play a significant role in solving problems of energy, transport, accommodation and production; but similar problems have been solved through technical and non-technical means for thousands of years. Numerous historical examples therefore exist, in which the ends of different approaches to problem-solving are apparent: some tending to produce socially and/or ecologically sustainable outcomes, and some less positive. Historians do not simply narrate the past, they explain and interpret changes and continuities by paying attention to larger issues of, for example, class, gender, polity and economy. Such historical narratives, we argue, may have a useful role to play in efforts to shift the perspective of engineering students away from a narrow focus on complex technical solutions, towards the broader context in which their problem-solving will take place. This ability to assess the relationships between engineering problem-solving and the broader social and environmental context is critical to the development of a more sustainable and socially-just engineering practice.

2018 ◽  
Vol 11 (7) ◽  
pp. 43
Author(s):  
Oenardi Lawanto ◽  
Angela Minichiello ◽  
Jacek Uziak ◽  
Andreas Febrian

Understanding problems or tasks is a critical step in any problem-solving activity and the heart of self-regulated learning. When encountering a problem, students draw upon information available in the environment, along with knowledge, concepts, and perceptions derived from prior learning experiences, to interpret the demands of the task. Interpretation of tasks is, therefore, a key determinant of the goals set while learning, strategies selected to achieve those goals, and the criteria used to self-assess and evaluate outcomes. The purpose of this study is to better understand engineering students’ self-regulation in task interpretation processes while engaged in problem solving in an introductory engineering thermodynamics course. Two research questions guided the study: (1) What are the gaps, if any, between the instructor’s and students’ interpretation (explicit and implicit task features) of a problem-solving task?; and (2) How do students’ task interpretation (explicit and implicit) change after engaging in self-evaluation of their problem-solving processes? One hundred twelve (112) second year engineering undergraduates voluntarily participated in the study. Analysis of the data collected revealed a significant difference between the instructor’s and students’ task interpretation of the assigned problems. Furthermore, the analysis showed that students’ had a higher ability to identify the explicit parts of problem tasks than implicit ones. Students were able to grasp 63 to 77 percent and 39 to 49 percent, respectively, of the explicit and implicit information that was presented to them while engaged in problem-solving activities.


Author(s):  
Zbigniew M. Bzymek ◽  
Eliot Brown

Abstract In today’s fast growing world, the economy — especially the field of technology and production — are developing very rapidly. Engineering design that would predict the results of this rapid development and equip the society with tools to control them, faces a big challenge. Rapidly developing technology brings many benefits to humanity and makes life easier, friendlier and more comfortable. This has been the case for thousands of years as new branches of engineering were born and came to serve society. One might say that engineers have the privilege of creating a bloodless and peaceful revolution resulting in easier and happier lives for people. At the same time, such fast developing technology creates traps and dangers, and may cause harm. The inventions of Alfred Nobel, Samuel Colt and Eliphalet Remington, for example, or nuclear research have all brought significant technological progress to nations and societies but have also brought harms and disasters affecting both societies and individuals. The role of engineering design is to predict these harmful actions and plan to neutralize or eliminate them, or even change them from harmful into friendly. Such actions follow the way recommended by BTIPS (Brief Theory of Inventive Problem Solving) procedures [1], especially those using the Prediction module [2], [3]. When developing Prevention Engineering a system approach should be observed and hierarchy of systems established and defined. All systems should be designed in such a way that prevents harm to humans and the natural world. Recommendations for introducing Prevention Engineering as a branch of engineering practice, and as an educational and research discipline, should be created as soon as possible, and directions for introducing courses in Prevention Engineering design and practice should also be developed [4]. For example, personal protective equipment for individuals and groups as designed by ME and MEM engineering students in their courses might be considered as Prevention Engineering developments [5]. Defining and formulating Prevention Engineering as a new branch of engineering is necessity in our times. In every step of our lives we face the challenge of preventing harms and destruction that can be done by the contemporary surrounding world. The goal of Prevention Engineering [PE] is to make the world safe. Prevention and safety are connected, prevention is an action, while safety is the condition or state that we are trying to achieve. Preventative actions can be based on the recommendations of BTIPS - Brief Theory of Inventing Problem Solving - and may use BTIPS’s approach [4], [5]. The reasons for the development of PE have already been described [6]. Each of these should be pointed out and preventative measures should be found. Adding these preventative measures to the contemporary engineering research, practice and education, and especially reflecting them in the engineering curriculum would be useful now and will also be necessary in the future [7], [8].


Author(s):  
Zbigniew M. Bzymek

The Engineering Problem Solving process has two aspects. It relies on the talent of the designer on the one hand and the efficiency of the problem solving tools on the other. Talent is an attribute of a person. It is very difficult to formalize the talent of an individual, and no satisfactory formalization has been achieved successfully. For this reason only the original designer’s talent and his/her knowledge and experience are available for use during the problem solving process. However, there are several choices and decisions that can be made concerning methods, algorithms, and software packages. After those choices are made the next steps in the problem solving process can be outlined. The problem solving method described in this paper is called a Brief Theory of Inventive Problem Solving (BTIPS) and was developed on the basis of TRIZ (Russian: теория решения изобретательских задач, teoriya resheniya izobretatelskikh zadatch) and TIPS (Theory of Inventive Problem Solving) and taught at the University of Connecticut (UConn). The application of this method starts with the accurate definition of the problem. The problem has to be properly separated from the environment. Further problem solving choices depend on the knowledge of the designer and include the right sequence of steps, definition of contradictions, choice of solution modules, algorithms, definition of designed systems and subsystems, and choice of elements and objects. There are several further paths to be selected and resulting decisions to be made. Those decisions and the processes following them are described in this paper. The recommendations for the proper path are given and the procedures are discussed. The derivation of the Ideal Solution is described and tests of the solution’s effectiveness and economy are given. The experience gained from teaching one Mechanical Engineering course, three MEM (Management Engineering for Manufacturing) courses at UConn, one graduate course at UConn, one graduate course at the University of Fairfield, and several special non-academic courses for practicing engineers is summarized. Some students’ opinions are analyzed and recommendations for further education and the practice of engineering problem solving are derived. The references to the existing teaching, research, practice, and development studies are quoted. This paper is devoted to the characteristics of BTIPS method. The companion paper [1] is devoted to the characteristics of the software that could be used with the method. TIPS (the Theory of Inventive Problem Solving) is a further development of Altshuller’s theory done by Invention Machine under the leadership of Valery Tsourikov [2]. BTIPS (Brief Theory of Inventive Problem Solving) is a simplified version of TIPS developed at the University of Connecticut (UConn) especially for teaching purposes, though it is also powerful when applied to engineering practice problems [3].


Author(s):  
Zbigniew M. Bzymek ◽  
Steven S. Hinkle ◽  
Zoila E. Jurado Quiroga

The Design of Machine Elements course is one of the most difficult and complicated courses in the Mechanical Engineering program. It requires inventive concept generation, the knowledge of geometrical design, and basic knowledge of stress and deformation analyses. On those three elements, the machine elements design philosophy is established and further developed. The course material has to be chosen carefully since the time constrains will allow to cover design of only few essential machine elements. The material is covered by lectures, textbook readings, homework problems, and design projects. In addition to the textbook content the course contains five special elements: Idea Generation, Safety Considerations, Design of the Day (DoD), a Designer’s Liability study, and three projects including Final Project – Shaft Design. In the Idea Generation project, students generate an idea of machine or mechanical device. The Safety Consideration project is done by inspection and documentation of unsafe elements on campus. The Shaft Design Project had students design a shaft system under given constrains. In DoD students present existing advanced machines chosen using different sources or their own industrial internship experience. The Liability assignment addresses the designer’s legal responsibility in case of a defective product that caused an injury or accident. The material taught in the course is larger than conventional machine element design course. The elements added that are beyond the structural analysis bring better understanding of engineering problems during the Senior Design course and later during engineering practice. They allow the students to connect the theory with the real world of engineering challenges. This gives students more satisfaction during the learning process and cognitive benefits during engineering practice. The unconventional inventive design approach of the teaching team (course instructor and GTA) to problem solving is based on many years of instructor’s experience in teaching of engineering problem solving and design. The learning pattern in which students work in teams, both in problem solving and in design exercises, also helps to conduct the course. Thanks to all these elements the learning experience of the course is unique and engaging despite the high level of difficulty associated with it.


Author(s):  
Shahjahan Khan ◽  
Mohammad MRK Khadem ◽  
Sujan Piya

Engineers require scientific methods whereby models are developed to explain real phenomena. Model building, data collection, data analysis, and data interpretation form the very core of any sound engineering practice. Therefore statistical methodologies are vital components in engineering curricula and engineers should have the ability to think statistically when dealing with data. They should learn how to design and conduct well-planned experiments to improve the efficiency of the process and the quality of products, and must learn to deal with data, and interpret results produced as a part of their data analysis skills. Statistical methods are vital in engineering practices such as process monitoring by control charts, process optimization by response surface methodology, determining important factors by hypothesis testing, process modelling by regression analysis, initial pilot plant operation by design of experiments and laboratory recommendation. This paper shares some of the experiences of teaching statistics to undergraduate engineering students in an Australian University, focusing on the appropriate content, teaching technique, educational technology, software package, online support and evaluation in an engineering problem solving course. Results from an online survey of students are also presented.


Author(s):  
Mirka Koro-Ljungberg ◽  
Elliot Douglas ◽  
Nathan McNeill ◽  
David Therriault ◽  
Christine Lee ◽  
...  

Socially constructed identities and language practices influence the ways students perceive themselves as learners, problem solvers, and future professionals. While research has been conducted on individuals’ identity as engineers, less has been written about how the language used during engineering problem solving influences students’ perceptions and their construction of identities as learners and future engineers. This study investigated engineering students’ identities as reflected in their use of language and discourses while engaged in an engineering problem solving activity. We conducted interviews with eight engineering students at a large southeastern university about their approaches to open and closed-ended materials engineering problems. A modification of Gee’s analysis of language-in-use was used to analyze the interviews. We found that pedagogical and engineering problem solving uses of language were the most common. Participants were more likely to perceive themselves as students highlighting the practices, expectations, and language associated with being a student rather than as emerging engineers whose practices are affected by conditions of professional practice. We suggest that problem solving in an academic setting may not encourage students to consider alternative discourses related to industry, professionalism, or creativity; and, consequently, fail to promote connections to social worlds beyond the classroom. By learning about the ways in which language in particular settings produces identities and shapes problem solving practices, educators and engineering professionals can gain deeper understanding of how language shapes the ways students describe themselves as problem-solvers and make decisions about procedures and techniques to solve engineering problems.


2014 ◽  
Vol 7 (1) ◽  
pp. 64-77
Author(s):  
Doris Wolf

This paper examines two young adult novels, Run Like Jäger (2008) and Summer of Fire (2009), by Canadian writer Karen Bass, which centre on the experiences of so-called ordinary German teenagers in World War II. Although guilt and perpetration are themes addressed in these books, their focus is primarily on the ways in which Germans suffered at the hands of the Allied forces. These books thus participate in the increasingly widespread but still controversial subject of the suffering of the perpetrators. Bringing work in childhood studies to bear on contemporary representations of German wartime suffering in the public sphere, I explore how Bass's novels, through the liminal figure of the adolescent, participate in a culture of self-victimisation that downplays guilt rather than more ethically contextualises suffering within guilt. These historical narratives are framed by contemporary narratives which centre on troubled teen protagonists who need the stories of the past for their own individualisation in the present. In their evacuation of crucial historical contexts, both Run Like Jäger and Summer of Fire support optimistic and gendered narratives of individualism that ultimately refuse complicated understandings of adolescent agency in the past or present.


Author(s):  
Sean Maw ◽  
Janice Miller Young ◽  
Alexis Morris

Most Canadian engineering students take a computing course in their first year that introduces them to digital computation. The Canadian Engineering Accreditation Board does not specify the language(s) that can or should be used for instruction. As a result, a variety of languages are used across Canada. This study examines which languages are used in degree-granting institutions, currently and in the recent past. It also examines why institutions have chosen the languages that they currently use. In addition to the language used in instruction, the types and hours of instruction are also analyzed. Methods of instruction and evaluation are compared, as well as the pedagogical philosophies of the different programs with respect to introductory computing. Finally, a comparison of the expected value of this course to graduates is also presented. We found a more diverse landscape for introductory computing courses than anticipated, in most respects. The guiding ethos at most institutions is skill and knowledge development, especially around problem solving in an engineering context. The methods to achieve this are quite varied, and so are the languages employed in such courses. Most programs currently use C/C++, Matlab, VB and/or Python.


Author(s):  
Norasyikin Omar ◽  
◽  
Mimi Mohaffyza Mohamad ◽  
Marina Ibrahim Mukhtar ◽  
Aini Nazura Paimin ◽  
...  

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