1,078,010 research outputs found
Scarcity of science and engineering students in the Netherlands
In this report, we investigate whether policies that stimulate enrolment in S&E-studies are effective at increasing R&D-activity. Scarcity of science and engineering (S&E) graduates could potentially call for government intervention, because of the role of S&E's in R&D, and because R&D in turn is characterised by positive spillovers. First, we analyse the situation on the Dutch labour market for S&E graduates. We do not find evidence for scarcity of S&E graduates. Rather, the labour market position vis-Ã -vis other graduates weakened. A possible explanation to reconcile this conclusion with a widely felt concern of S&E shortages among employers is increasing internationalisation of the S&E labour market. Concerning policy, we argue that expanding the stock of S&E graduates is not very effective for boosting R&D activity. More than half the number of S&E graduates do not end up working in R&D. De increasing internationalisation of the S&E labour market can diminish the attractiveness of S&E courses.
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Do Engineering Students Learn Ethics From an Ethics Course?
The goal of the present research is to develop machine-assisted methods that can assist in the analysis of students’ written compositions in ethics courses. As part of this research, we analyzed Social Impact Assessment (SIA) papers submitted by engineering undergraduates in a course on engineering ethics. The SIA papers required students to identify and discuss a contemporary engineering technology (e.g., autonomous tractor trailers) and to explicitly discuss the ethical issues involved in that technology. Here we describe the ability of three machine tools to discriminate differences in the technical compared to ethical portions of the SIA papers. First, using LIWC (Language Inquiry and Word Count) we quantified differences in analytical thinking, expertise and self-confidence, disclosure, and affect, in the technical and ethical portions of the papers. Next, we applied MEH (Meaning Extraction Helper) to examine differences in critical concepts in the technical and ethical portions of the papers. Finally, we used LDA (Latent Dirichlet Allocation) to examine differences in the topics in the technical and ethical portions of the papers. The results of these three tests demonstrate the ability of machine-based tools to discriminate conceptual, affective, and motivational differences in the texts that students compose that relate to engineering technology and to engineering ethics. We discuss the utility and future directions for this research.Cockrell School of Engineerin
Middle school students' perceptions of engineering
This paper focuses on implementing engineering education in middle school classrooms (grade levels 7-9). One of the aims of the study was to foster students’ and teachers’ knowledge and understanding of engineering in society. Given the increasing importance of engineering in shaping our daily lives, it is imperative that we foster in students an interest and drive to participate in engineering education, increase their awareness of engineering as a career path, and inform them of the links between engineering and the enabling subjects, mathematics, science, and technology. Data for the study are drawn from five classes across three schools. Grade 7 students’ responded to initial whole class discussions on what is an engineer, what is engineering, what characteristics engineers require, engineers (family/friends) that they know, and subjects that may facilitate an engineering career. Students generally viewed engineers as creative, future-oriented, and artistic problem finders and solvers; planners and designers; “seekers” and inventors; and builders of constructions. Students also viewed engineers as adventurous, decisive, community-minded, reliable, and “smart.” In addition to a range of mathematics and science topics, students identified business studies, ICT, graphics, art, and history as facilitating careers in engineering. Although students displayed a broadened awareness of engineering than the existing research suggests, there was limited knowledge of various engineering fields and a strong perception of engineering as large construction
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First-year interest groups and 1st semester BME design class exposure to improve engineering student outcomes
First year Biomedical Engineering (BME) students at The University of Texas at Austin have the option of joining a First-year Interest Group (FIG). FIGs can increase student interest and retention in the major by allowing groups of 15-20 students to attend a weekly seminar and their first engineering classes together. [1] BME 303L Introduction to BME Engineering Design is a required course for first year BME students; students who join a FIG facilitated by the BME advising office enroll in BME 303L together during their first semester (fall) on campus. Approximately 80% of fall semester BME 303L enrollment is FIG students, while the other 20% are not part of a BME FIG. The same course taught by the same instructor is also offered during the following spring semester, and spring enrollment is exclusively made up of first year students who did not participate in a fall FIG. While FIGs have been shown to increase retention[1] and we have observed a positive impact on attitudes toward engineering, we have not yet been able to correlate these successes to engineering student outcomes as defined by the Accreditation Board for Engineering and Technology (ABET). In order to better understand if the FIG success is correlated to engineering student outcomes, the authors surveyed all first year BME students at the end of the fall 2017 semester to measure their own perception of teamwork, communication skills, lifelong learning, and ability to use engineering tools. This paper presents initial results of the survey comparing engineering student outcome perceptions from students who just completed a FIG and BME 303L in the fall semester, and students who did not participate in FIG and are enrolled in BME 303L in the spring semester. These data will be used to optimize advising and curriculum for first year students and improve engineering outcomes for all students. Future surveys are planned for sophomore and junior years as well.Cockrell School of Engineerin
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Hands-on Learning in Multiple Courses in Electrical and Computer Engineering
It has been reported that persistence rate of engineering students is relatively low. Several new pedagogical paradigms have been proposed to improve engineering education, such as the use of “hands-on” tools to change the learning style in the engineering classroom to more engaging teaching pedagogies. An approach that is being used to engage and retain electrical and computer engineering students is the Analog Discovery board (ADB). The paper describes the hands-on learning experiences of students who used the ADB in multiple courses. The paper discusses (i) the various laboratory experiments and class projects performed by the students, (ii) the knowledge and skills learnt by the students and (iii) the lessons learnt by the instructors while introducing ADB into freshman and junior level courses in the electrical and computer engineering. Preliminary data indicate that students are benefiting from the use of the ADB. Students report increases in their interest in subject content, motivation to learn, and confidence in their ability to learn.Cockrell School of Engineerin
Reasons stated by commencing students for studying engineering and technology
Responses were collected from commencing engineering students and an inventory of reasons stated for electing to study engineering was developed. Commencing engineering students were strongly career oriented; they believed that engineering would be an interesting and rewarding career that would offer enjoyment and career options. No difference was found in the principal reasons stated by respondents based on gender or course of study. On-campus students nominated principally career-related reasons for their choice of study (71 percent). While career-related reasons were still important for off-campus students, the most frequent type of responses were related to career upgrading (43.9 percent).<br /
Why do Deakin students elect to study engineering?
Responses were collected from commencing engineering students and an inventory of reasons stated for electing to study engineering was developed. Commencing engineering students were strongly career oriented, they believed that engineering would be an interesting and rewarding career that would offer enjoyment and career options. No difference was found in the principal reasons stated by respondents based on gender or course of study. On-campus students nominated principally career-related reasons for their choice of study (71 percent). While career-related reasons were still important for off-campus students, the most frequent type of responses were related to career upgrading (43.9 percent).<br /
Teaching Software Engineering through Robotics
This paper presents a newly-developed robotics programming course and reports
the initial results of software engineering education in robotics context.
Robotics programming, as a multidisciplinary course, puts equal emphasis on
software engineering and robotics. It teaches students proper software
engineering -- in particular, modularity and documentation -- by having them
implement four core robotics algorithms for an educational robot. To evaluate
the effect of software engineering education in robotics context, we analyze
pre- and post-class survey data and the four assignments our students completed
for the course. The analysis suggests that the students acquired an
understanding of software engineering techniques and principles
Engineering geology maps of the UK
School and university students of geology, engineering geology and geotechnical
engineering generally have less knowledge of engineering geological conditions than
those who have had experience of hands-on research or practice. In the UK, the number of
geology, geoscience and earth science departments has reduced over the past 25 years.
Engineering geology has a very weak academic base and geology is taught less to civil
engineering students than previously
Learning style preference and critical thinking perception among engineering students
Engineering education plays a vital role towards modernization of world. Therefore, engineering students need to be nurture with multiple skills like learning preferences and critical thinking skills. This study has been conducted to identify the learning style preferences and critical thinking perception of the engineering students from three programs electrical engineering, mechanical engineering and civil engineering at Universiti Tun Hussein Onn Malaysia (UTHM), Johor. Survey research design was applied in this study. The quantitative data was collected by two questionnaires Index of Learning Styles (ILS) that is based on Felder-Silverman Learning Style Model (FSLSM) and Critical Thinking Skills (CTS) questionnaire which consists of analysis, evaluation, induction and deduction in terms of problem solving and decision making. A total of 315 final year engineering students were participated in this study. Data was analyzed in descriptive and inferential statistics involving tests Analysis of Variance (ANOVA), Pearson Correlation and linear regression. The study discovered that engineering students are preferred to be visual learners (83.80%). Visual learning style denotes FSLSM input dimension and visual learners learn best by diagrams, charts, maps and graphical presentations. This study also found that engineering students possess critical thinking perception in all dimensions. However, there is no statistical significant difference of learning style found among engineering programs as “p” value found 0.357. Whereas, there is statistical significant critical thinking difference found among engineering programs as “p” value found 0.006. Lastly, findings revealed that there is no significant relationship found between learning styles and critical thinking skills. The study findings suggested that providing preferred learning style (visual learning style) in classroom will enhance students’ academic achievement and increase their cognitive level. This study might serve as a guideline for educators to facilitate learners to enhance their learning and thinking for better outcomes in academia as well as in workplace
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