scholarly journals Evolution of Biomedical Engineering Students’ Perceptions of Problem Solving and Instruction Strategies During a Challenge-Based Instruction Course

2020 ◽  
Author(s):  
John Clegg ◽  
K. R. Diller
Author(s):  
Negar M. Harandi ◽  
Carol P. Jaeger ◽  
Philip D. Loewen

In this paper the planning, implementation, and analysis of active learning techniques introduced into a new integrated course designed for second-year Biomedical Engineering students at the University of British Columbia are presented. The course included foundation material on circuit analysis, electromagnetics, and vector calculus. The course was delivered using a blended learning format, incorporating video content, traditional lecture time, and team based in-class problem solving. In general the problem solving activities were well received, but several adjustments were necessary during the term to optimize the effectiveness of the team-based activities. Student feedback and course outcomes are presented and discussed in the paper.  


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.


2019 ◽  
Author(s):  
Corey Peltier ◽  
Mindy E Lingo ◽  
Faye Autry-Schreffler ◽  
Malarie Deardorff ◽  
Leslie Mathews ◽  
...  

Students identified with a specific learning disability (SLD) experience difficulty with mathematical problem solving. One specific intervention identified as a promising practice for students with a SLD is schema-based instruction (SBI). The current projects aimed to tests the efficacy of SBI under routine conditions. This extends prior literature by (a) using a teacher as the implementer, (b) allowing flexibility in the intervention protocol, (c) condensing the duration of intervention sessions, and (d) providing instruction in small group settings. In addition, we examined student problem solving performance on word problems requiring two-steps and combined schema structures. We used a multiple-probe design across three groups of fifth-grade participants (n = 7) receiving supplemental instruction in a resource room setting. Results indicated a functional relation between SBI and problem-solving performance for all students on simple structure word problems, with the magnitude of effects varying across cases. The NAP, Tau, and BC-SMD effect sizes were used to quantify effects. Implications were discussed in regard to systematic replication and conditions that may impact fidelity.


Author(s):  
Vincent Chang

With a growing need to reform Chinese higher engineering education, University of Michigan—Shanghai Jiao Tong University Joint Institute (JI) initiated multinational corporation-sponsored industrial-strength Capstone Design Projects (CDP) in 2011. Since 2011, JI has developed 96 corporate-sponsored CDPs since its inception, which include multinational corporation sponsors such as Covidien, Dover, GE, HP, Intel, NI, Philips, and Siemens. Of these projects, healthcare accounts for 27%, energy 24%, internet technology (IT) 22%, electronics 16%, and other industries 11%. This portfolio reflects the trends and needs in the industry, which provides opportunities for engineering students to develop their careers. An accumulated 480 JI students have been teamed up based on their individual backgrounds, specifically electrical engineering, computer engineering, computer science, mechanical engineering, and biomedical engineering. The corporate-sponsored rate grew from 0% in 2010 to 86% in 2014.


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