Science.Dr. Jon A. Leydens, Colorado School of Mines Jon A. Leydens is Professor of Engineering Education Research in the Division of Humanities, Arts, and Social Sciences at the Colorado School of Mines, USA. Dr. Leydens’ research and teaching interests are in engineering education, communication, and social justice. Dr. Leydens is author or co-author of 40 peer-reviewed papers, co-author of Engineering and Sustainable Community Development (Morgan and Claypool, 2010), and editor of Sociotechnical Communication in Engineering (Routledge, 2014). In 2016, Dr. Leydens won the Exemplar in Engineering Ethics Education Award from the National Academy of Engineering, along with CSM colleagues Juan C. Lucena and Kathryn Johnson
who pioneered thefunds of knowledge approach is nearly absent in our review because a large portion of their workwas conducted on elementary students. Thus, we consider primary sources, sources that helpanswer our research questions. A detail explanation of the types of sources that we excluded fromthis study are outlined in the next sub-section.4. Finding and cataloging sourcesIn the fall of 2015, papers indexed in the following five electronic databases were searched 1)Engineering Village, 2) Scopus, 3) Academic Search (EBSCO), 4) Educational Full Text (EBSCO)and 5) the ASEE PEER database. Table 2 outlines the exact search strings that were used in allfive of the electronic databases. For each database, we indicated that the search string
context.While one participant was walking through the user story of their partner’s concept, the otherparticipant was given Post-It notes to write down issues or questions that arose. These wereexplained to the participant as “parts of the concept that were confusing or strange, that somehowseemed inappropriate to the user, or didn’t work correctly.”2. Listing and grouping concernsAfter the user story, the concerns that were noted were shared with the other participant, and anyadditional concerns were added onto new Post-It notes. The participants were then asked to sortthese concerns as they applied to the five properties of a concept, identified above (i.e., form,function, temporal, use/user, and system). A brief definition of each property (Table 2
learned. In an online environment that is asynchronous, learnersdo not have the constraints of time and place. By leveraging online technologies, studentlearning should be designed with transfer of same information to all learners. For the freshmanstudent, online learning is most suitable for factual type learning or less challenging learningactivities [12].F2F would be recommended for intensively challenging, high-benefit learning activities. Forexample, the hands-on laboratory experiments in EE110 solidify key concepts learned from themultimedia content: online videos, text readings, assigned homework and frequent onlinequizzes. Through peer collaboration, students can help each other work through the labs as wellas learning how to troubleshoot
organizationsas “creating value” in the same way that technological innovation is [9], [10]. These types oflower-recognition tasks also can include “office housework”—planning social events, gettingcoffee for colleagues, coordinating meetings. Some of these tasks carry more organizationalsignificance than do others, as they can sustain networks, communication, and projectmomentum, but few are rewarded in the way that strategic stretch work can be; Babcock et al.[8] write that these are tasks people generally do not want to do as part of their jobs and wishwould be completed by others.And yet some groups do them, and do them more than other groups do, even among those in thesame profession and role. Sociological and economic research shows that gender
. I’m nervous that they’re gonna be like,man, she doesn’t know anything. But otherwise, no, [I’m not nervous]. I think just because it'shands-on, I feel prepared for it, you know, like as far as my technical writing skills and my teamwork skills and my people skills and that kind of stuff.[Now that I’ve been at work for 3 months] Mostly my responsibilities are just doing whateveranybody tells me to do, so that can range anywhere from working on [specific softwarepackage], which is something that I actually know how to do personally … or working on areport or attaching wires or testing some sort of a component. I’m not having to learn a whole lotyet, but for the stuff that I’m doing, I feel completely prepared for it. [...] I read up on
specific as using a new design tool or performing aspecific task (e.g., a weighted decision matrix); documenting and/or considering a new criterion,constraint, or focus area (e.g., users, marketability); or adhering to new project managementstructure (e.g., a set of milestones/deadlines).In some cases, these approaches were restrictive initially. For example, Hannah felt that thedocumentation aspect detracted from her technical design work, which was where she believedinnovation was occurring. We have this big design document... It's a 15 or 16 page document that we had to write about the project partner… So, obviously, we wanted to record what went on. Each failure, why it went wrong, things like that. But a lot of it was like
competitions. We found differences between the teams in recruiting,team structure and organization, student leadership, faculty advisors, expectations forcommitment, integration into academic structure (capstone), and focus on competition success.In spite of the differences in team organization and goals, both teams missed opportunities forstudents to acquire and practice important professional skills. Neither team providedopportunities for formal learning about leadership and management, nor experience andmentorship for working with a diverse group of peers (e.g. diversity from race, gender, socio-economic status, or major discipline). The most egregious missed opportunity within these teamswas, and is for many teams, the vast number of students who
, based in science.”Interestingly, despite our explicit prompt to discuss engineering culture, very few participants framedtheir responses in cultural terms. Instead, they spoke about the engineering-intensive work they did thatbrought them career satisfaction. The prominence of technical affinity in the responses of racializedwomen was also noteworthy. This finding challenges the implicit, and somewhat essentialistassumptions about women in general, and racialized women in particular, underlying recruitment andretention efforts that magnify the socio-emotional features of engineers’ work in order to diversify theprofession. Racialized women, just like their peers, tended to speak about “nerd