scholarly journals Confidence in Computational Problem-Solving Skills of First-Year Engineering Students

2016 ◽  
Author(s):  
Mary Fraley ◽  
Amber Kemppainen ◽  
Amy Hamlin ◽  
Gretchen Hein
Author(s):  
Cyrus Shafai ◽  
Behzad Kordi

The teaching of electric circuit analysis traditionally involves problem solving to ensure understanding of analysis theorems, complemented by laboratory experience. When taught to first year Engineering students, this approach lacks a motivational component and presents difficulties due to the weaker mathematics and problem solving skills of first year students. This paper presents a laboratory-centered approach to introduce engineering students to electric devices and systems. Using open-ended design projects, students explore and construct different types of electrical systems. Laboratories are selected so as to develop student intuition in electrical concepts, scientific fundamentals, provide a historical background, and demonstrate systems-level design issues. Over the past three years in our Department, using this approach, increased student motivation and engagement has been observed, supported by a significant increase in Electrical and Computer Engineering enrollment.


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):  
Rowan W. Hollingworth ◽  
Catherine McLoughlin

<span>Technology is increasingly being harnessed to improve the quality of learning in science subjects at university level. This article sets out, by incorporating notions drawn from constructivist and adult learning theory, a foundation for the design of an online environment for the acquisition of metacognitive problem solving skills. The capacity to solve problems is one of the generic skills now being promoted at tertiary level, yet for many learners problem-solving remains a difficulty. In addition, there are few instances of instructional design guidelines for developing learning environments to support the metacognitive skills for effective problem solving. In order to foster the processes of metacognitive skills explicitly in first year science students, we investigated areas where cognitive support was needed. The aim was to strengthen the metacognitive and reflective skills of students to assist them in adopting strategies and reflective processes that enabled them to define, plan and self monitor their thinking during problem solving. In tertiary science, both well-structured and ill-structured problems are encountered by students, thus a repertoire of skills must be fostered. A model for supporting metacognitive skills for problem solving is presented in the context of an online environment being developed at the University of New England.</span>


2019 ◽  
Vol 1 (3) ◽  
pp. 8-11
Author(s):  
MURUGAN SUBRAMANIAM ◽  
Muhammad Khair Noordin

Current survey shows there are 1 out of 5 graduates are unemployed (Site, 2018). Lack of non technical skills among graduates be one of the main reason for unemployment.Data shows Problem Solving Skills is the second most important non technical skill sought by employers (To et al., 2019); The studies show that the problems cannot be solved by using the same kind of thinking approach applied at the moment it was created. Therefore, a systematic analytical skill is required to handle the engineering related problems happening at manufacturing environment or engineering workplace. The purpose of this paper is to analyze the existing literature about Problem Solving skills for graduate engineers through a systematic literature review. This paper analyses literature through electronic databases mainly from Scopus and Web of Science. This paper summarizes types of problem solving skills applied in the engineering field as of now. Based on that, engineers can differentiate and understand the approach of the problem solving skills in the industrial environment to improve the failures and increase productivity.


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