socialjustice. Using a particular perspective on sociotechnical thinking (STSE), the goal of thisresearch was to explore sociotechnical thinking within engineering instructor teaching goals andpractices. The study also sought to identify the challenges and enabling factors that engineeringinstructors experience in utilizing teaching practices related to sociotechnical thinking. STSEwas selected given both its inherent flexibility, and its specific features that allow for somenatural connections with engineering. Using STSE also allowed for the introduction of aframework from a different context to assess its utility and relevance to the engineeringlandscape.This study employed an online survey, featuring both qualitative and quantitative methods
generally had a strong interest in aesthetics and design.This meant that it was difficult to detect significant positive shifts across student responses.ResultsTransformative ExperienceThe AesDes survey assessed the transformative experience by measuring the three indicators:expansion of perception, motivated use, and affective value. The findings are presented below.Expansion of PerceptionExpansion of perception was measured by Questions 9, 10, and 11, as shown in Table 1.It was found that the responses to Question 9 were positively saturated, as 51% (n=15) of thestudents who came into the class gave responses like the following on the entry survey: “In the engineering field, even though aesthetics is rarely mentioned in any textbooks or
students in the creation and submission of a smart contract, and verification oftransaction blocks through a proof-of-work consensus algorithm. A preliminary assessment of thelab exercises by undergraduate students allowed us to present in this paper (see Appendix A) awell-tested set of lab exercises.The paper is organized as follows. In section 2, we provide a brief overview of the opportunitydefinition and the solution goal and objectives of the work described in this paper. In Section 3,we provide a brief description of the core and special components of the Ethereum blockchainplatform. Also included is a walk-through of the data flow of blockchain transactions and blocks.Section 4 focuses on the solution implementation stages and section 5
“Q” noted on their transcript [17]. ● QDFW% rates: the percentage of students in the course who Q-dropped the class, made a D, F, or withdrew (and received a W on their transcript), in comparison to the whole student population for that course. ● “SI” students: students who attended 6 or more sessions ● “non-SI” students: students who attended 5 or fewer sessions.IV. Research Questions To assess the impact of SI on freshmen engineering participants, this report addresses the following questions: 1. How did SI attendance affect overall course GPAs for SI students versus non-SI students in this course? 2. How did SI attendance affect QDFW% rates for SI students versus non-SI students in this
orlittle confidence using computer assessed design (CAD) (n = 22, 81.5%), probes/sensors (n = 18,66.7%), and programming software (n = 16, 59.3%).RQ 2: Appropriateness for Engineering InstructionRegarding whether teachers felt it was appropriate to use each of the digital technologies withintheir classroom to support engineering instruction, all teachers (n = 27, 100%) indicated digitalimages, simulations, and interactive visualizations were somewhat to extremely appropriate(Figure 2). One or more teachers indicated spreadsheets (n = 12, 44.4%), computer-assisteddesign (n = 6, 22.2%), probeware/sensors (n = 3, 11.1%), and programming software (n = 2,7.4%) were not appropriate to use. Digital image use was most frequently ranked by teachers
, space, or resources to support course offerings in emerging fields [2].Students who left engineering programs have cited a lack of interest in their major and theinability to work closely with faculty on research projects throughout their undergraduateeducation [3]. Students’ own experiences and performance on assessments indicate that thetraditional “lecture-homework-exam” method of engineering education is insufficient to fulfillthe goal of long-term information retention and academic and professional success [4].Furthermore, students who struggle significantly to succeed in classes employing this method ofeducation are more likely to discontinue their pursuit of engineering, as evidenced by the >50%attrition rate observed in many
lecturer in Purdue’s School of Electrical and Computer Engineering. Dr. Zoltowski’s academic and research interests include human-centered design learning and assessment, service-learning, ethical reasoning development and assessment, leadership, and assistive technology. Page 26.1711.1 c American Society for Engineering Education, 2015 Vulnerable heroes: Problematizing metaphors of male socialization in engineeringAbstractWhile extensive research and intervention has occurred over the past two decades to amelioratethe underrepresentation of white females and
shape their actions. In particular, we suggestthat students construct a cultural model of the admissions process in order tobetter understand and navigate the process. To understand this cultural model weneed to examine the beliefs that are born from it. In other words, to understand thestudents’ cultural model of the process we must examine what they report theirbeliefs about the process to be. It is important to understand this cultural model,because it is an evaluative tool, one that allows them to assess themselves andothers. This in turn shapes the students’ view of themselves and others, and howothers see them as well. Page 12.428.2Gaining entry to a
of accelerated globalization, “grey matter” is a country’smain durable resource. Its exploitation for economic and social well-being is increasingly at thecenter of development strategies. The analysis and information on which this book is based arelargely drawn from work by the World Bank Institute’s Knowledge for Development program,launched in 1999, which has carried out a number of knowledge based economy diagnostics andcase studies, using the Knowledge Assessment Methodology (KAM) 5 .What are the basic foundations of knowledge based economies? The World Bank suggests fourmajor areas [2]: • Education & Training– An educated and skilled population is needed to create, share, and use knowledge. • Information
: Definition PhaseTask #1: Define Progressive Growth Levels of Engineering Beyond Entry [I – IX] Assess the progressive stages of growth and levels of increasing responsibility in the practice of engineering for leadership of responsible technology development and innovation in industry14.Task #2: Identify Core Progressive Skill-Sets in Engineering for all Levels Identify the professional skill-sets, experience factor, and knowledge required at all growth levels for engineering-leadership of technology development and innovation a) Early-career Level I – III Engineer b) Mid-career Level IV–VI Engineer c) Senior-career Level VII–IX
was responsible for developing curriculum and assessment tools and overseeing the research efforts within EPICS. Her academic and research interests include the profes- sional formation of engineers, diversity and inclusion in engineering, human-centered design, engineering ethics, leadership, service-learning, and accessibility and assistive-technology.Debra S. Fuentes, Brigham Young University Debra S. Fuentes is a doctoral student at Brigham Young University in Educational Inquiry, Measurement, and Evaluation specializing in Mathematics Education. She received a Master’s degree in Curriculum and Instruction emphasizing English as a Second Language, and a Bachelor’s degree in elementary education, minoring in
participation in groupactivities. Other studies have found that mixed-gender groups are associated with more positiveoutcomes than single-gender groups. For example, researchers [82] found that middle-schoolstudents participating in a design-based physics curriculum performed better on assessments ofcontent and practices if they had worked in mixed-gender as opposed to single-gender groups.Schnittka and Schnittka [27] found mixed-gender groups to be beneficial in engineeringeducation, with girls learning more in such mixed-gender groups.Although research findings related to the influence of group gender composition are mixed, anumber of studies [78], [83] – [85] have found group gender composition to be significantlyrelated to students’ participation
associated surveys (assessment instruments).It should be noted that our surveys have been designed to (1) educate students about important items/choices/topics/processes that they should be thinking about, etc. (2) deeply understand how students feel about a variety of issues (3) get relevant feedback to alter instruments, surveys and practices.The latter two are very important in order to provide very directed student-centric mentoring and to supportour grounded theory approach (Barney Glaser, Anselm Strauss, 1965, 1967: [53], [54]). Here, groundedtheory refers to an inductive data-based approach to identify patterns and develop empirical-based workingtheories.The following subsections
field experiences, andreceive in-the-moment pedagogical coaching within the pedagogy course.Critical and constructive reflection on teaching practice, which we assume is needed to helpstabilize student-centered instructional approaches, is scaffolded through course assignments andin-class activities. LAs regularly reflected on (and wrote about) how course readings connect totheir to own experiences both as a student and as a peer educator within the ENES100. Throughboth field note assignments and in-class video analysis sessions, LAs were encouraged to (1)develop detailed descriptive accounts of classroom events, (2) generate multiple plausibleinterpretations of classroom events, and (3) assess the affordances of instructional moves inrelation
review briefly outlines some of the common motivations behindthe development of design agents as well as providing a high-level overview of the softwarearchitecture used in these systems.A frequent motivation or target goal of design agent systems is to create intelligent assistive toolsfor designers, often by having agents search a design space for solutions6,43, 45-46. These designagent systems typically employ multiple agents, called multi-agent systems, which includesmultiple agents with the same role as well as differentiated roles across agents6, 43, 46-47. Some ofthe roles design agents may take on include search/configuration agents that create solutions4-5,43-44 to evaluators that assess the performance of a generated solution44-46
Paper ID #15378Attitudes that Students Believe Best Characterize EngineersDr. Angela R Bielefeldt, University of Colorado, Boulder Angela Bielefeldt is a professor at the University of Colorado Boulder in the Department of Civil, Envi- ronmental, and Architectural Engineering (CEAE). She serves as the ABET assessment coordinator for the department and its three accredited bachelor’s degrees. Professor Bielefeldt is the faculty director of the Sustainable By Design Residential Academic Program, a living-learning community where inter- disciplinary students learn about and practice sustainability. Professor Bielefeldt’s
is not uncommonfor one or two students to be excluded from the leadership clique. P863: It was kind of a voting thing and it was also last year's members kind of assessed the team and semi-determined what they think needed to be done… There wasn't an actual sit down vote, it was more so like Mike and Richard said Susan you need to be Captain and Don you need to be co-captain. They were like "do you have a problem with that?" Nobody said anything.As one advisor commented, “You know these captains we have, sometimes they get elected on apopularity contest. Loyalty and commitment most definitely trumps the right person for the job.”One of the potential weaknesses of leadership which arises from and is embedded in
as it: encourages students togenerate ideas and consolidate solutions (Kapur, 2008), activates prior knowledge differentiationand allows students to critically assess their current knowledge (Bransford & Schwartz, 1999;Kapur, 2011), can set the stage for noticing critical features of a solution (Bransford & Schwartz,1999), provides an impetus for prediction and causal reasoning (Schank, 1982; Gartmeier et al.,2010), helps students resolve misconceptions (Gartmeier et al., 2010), and makes it easier toretrieve experiences for future problem solving (Kapur, 2010; Schank, 1999; Gartmeier et al.,2008).Tawfik and colleagues (2015) argue based on the prior research that failure “generates anadditional inquiry process at the point of
of increasing complexity. The teamsdevelop models, test their models with laboratory experiments, and validate their models withexperimental data. At the conclusion of the course, freshmen gain an appreciation for the powerof modeling physiological systems and can propose their own hypothesis, which they can thentest in lab. With practice, freshmen become more comfortable with the modeling process [3].They understand the value of solving challenging, open-ended problems with multiple potentialsolutions. Engineering students must learn to creatively ideate and assess numerous approaches,often with conflicting outcomes, starting their freshmen year. Modeling and design team-basedprojects engross students in learning beyond lectures and
education. The real-life application of the content covered in courses with no laboratory component is provided bydifferent learning experiences. The purpose of this study was to assess the effectiveness of theQFT as a strategy to promote application, analysis, and evaluation in upper-division engineeringcourses.3. MethodologyTwo class sections (Group 1 and Group 2) of Renewable Energy Engineering students wereassigned a term paper at the beginning of the quarter. The topic of the paper was selected usingthe QFT in two different ways. Students were given minimal instructions on how to develop thepaper to both give students the opportunity to drive their own research and to understand theeffect of the QFT on student learning throughout the term. A
Processes Increase +ve value Environment Economy Figure 5: Category 4 - Sustainable Design is Social Network Problem Solving (+ve is used to denote positive)The focus of this category as solving problems that are part of larger problems facing society isillustrated by Larry specifically in terms of water:In terms of assessing whether an engineer understood and can practice, in a way thatunderstands that what they're doing will change the way communities work, and in the pastengineers have never done that, they’ve never asked the community whether they
; II). Figure 4. Course sequence analysis for the sophomore level product development course at SDSM&T After taking this course, it is expected that the students should be able to: ‚ Develop a set team rules and an assessment strategy to be used during a structured product development process. ‚ Apply the basic elements of the Quality Function Deployment (QFD) methodology to identify the customer needs, carry out a competitive benchmarking, and set the target specifications for a product. ‚ Classify the customer needs according to the Kano Model of customer satisfaction. Page
residential portion of the travel abroad program. The student co-authors of this paper believe that the travel portion of their study abroad experience helped prepare them to bemore accepting of the unique nature of this course, to be more willing to critically assess theirown ways of thinking, and to reconsider their pre-existing stereotypes of how engineers, andnon-engineers, think about things.PedagogyThe pedagogical approach for the course was informed and inspired by Finkel’s book TeachingWith Your Mouth Shut [1] As the title suggests, Finkel advocates a student-centered learningenvironment in which the teacher is largely silent. Finkel calls for instructors to let the readingsand students do the talking. The teacher and students engage with
Member of the Institute of Electrical and Electronic Engineers, a Fellow of the Chartered Management Institute, and a Licentiate and Fellow of the College of Preceptors. His major studies are co-authored book ”Analysing Jobs” about what engineers do at work; three editions of ”Assessment in Higher Education” ; ”Learning, Adaptability and Change; the Challenge for Education and Industry” and the American educational research award winning ”Engineering Education: Research and Development in Curriculum and Instruction” published by IEEE/Wiley. He is a recipient of a Sci- ence, Education and Technology Division Premium of the London IEE for his contribution to engineering education