such as collaborationand reflection. At the end, students demonstrate knowledge and are judged by how much theyhave learnt and how well they communicate it. Throughout this process, the teacher’s role is toguide and advise rather than to direct and manage student work [7]. In project based learning, theprojects will have varying complexity but all will relate in some way to the fundamental theoriesand techniques of an engineer’s discipline specialization. Successful completion of projects inpractice requires the integration of all areas of an engineer’s undergraduate training. Project workis more directed to the application of knowledge, management of time and resources by thestudents as well as task and role differentiation is very important
informed us of our faculty’s perspectives and preferences on the library servicesand collections [2]. But the drawback of large-scale surveys is the impossibility of gathering continualdata to reflect the evolving needs in addition to typical low response rates and problems obtainingrepresentative samples [1]. The current approaches may be good enough if we have sufficient time,staffing and solid faculty-librarian relationships. However, in reality, adoption of the current approachesmay be difficult for liaison librarians who serve a large number of faculty members and have many otherjob duties.As the University of Iowa College of Engineering has experienced significant growth in research, we twoengineering librarians see the necessity of
oninstructional best practices. The combination of experiential knowledge, post course reflection andscholarly literature provided a framework through which the purposed model was conceptualized,developed, and implemented. Verbally Pose non- encourage intuitive student questions participation Communicate Learn student with students
equipmentOne of the most pressing needs reflected in previous assessment activities was the lack ofcampus accommodations with adequate technological capabilities to support intensivecomputation and research activities. As a result, at GRIC, technological architecture plays a vitalrole in incorporating a robust Internet infrastructure with 100 dedicated ports for wired andwireless connection; over 100 electrical outlets distributed throughout the space on walls, floorsand portable towers; and a wide range of computers (HP, Dell, Microsoft, Lenovo, Apple) withvarious operating systems (Mac OS, Windows, Ubuntu), including software for complextechnical writing, programming, data processing and visualization, imaging and design, amongstothers. Figure 7
, stricter government safety or environmental regulations also need to bemet. There are many examples, like cars and home appliances, that reflect this challengingscenario. Consequently, industry needs mechanical engineering graduates that have the necessaryknowledge, skills and abilities (KSAs) to successfully participate in the design and developmentof complex products or systems.The fact that companies need engineering graduates with a good foundation in the process todesign and develop products and systems is reflected in the new ABET accreditation criteria [1]and in references such as the Engineering Competency Model that was jointly developed byAmerican Association of Engineering Societies (AAES) and the United States Department ofLabor (DOL
of constructs likely tobe impacted by grades 6-12 science interventions. See Table 2. We also asked questions aboutwhether students found S&E fair projects to be “transformative experiences”[11] which areexpected to reflect deeper engagement with science. We shortened the scales for time, selectingthe four most representative items from each scale. We also rephrased each question to ask aboutthe fair project.ResultsWe analyzed the demographic characteristics reported by these students and contrasted thosewho did and did not complete science fair projects. Overall, teachers with younger students(especially 6th grade) seemed more likely to require all students to complete a project, whileteachers with older students (especially 12th grade
is shown in Appendix B. The students are required to design their assembly inSolidWorks, including into the dimensions the tolerance they need to make their type of fit. Thestudents then 3D print their parts using the Maker’s Lab at Cline Library NAU. With thephysical components, the students reconstruct their assembly and reflect upon the final products’form, fit, and function. For example, if the assembly is the sliding shelf, the students’ shouldhave designed for a clearance fit and the shelves should successfully slide within the cabinet.Students are also expected to comment on the effectiveness of their tolerances given. With thesliding shelf, if the shelves are too wobbly within the cabinet, the students are expected tocomment on their
, disappear).The participants were instructed on three main action features of Scratch Jr, character movement,creating dialog in ‘speech bubbles’, and playing recording audio, as well as basic controls suchas appearing/disappearing and pausing, but not on all the capabilities ScratchJr provides. Mostparticipants planned code did not reflect the storyboard they had constructed. Only oneparticipant stuck to the planned story from start to finish, with two others keeping elements ofthe same story, but most animating some other aspect entirely. Watching students work on theirdesign, they never seem to revisit the storyboard. Instead, their storyboard often sits right undertheir tablet or to the side of the design paper ignored. While it may be useful to
-consuming nature of fostering several weaker ties.Too much time spent on strengthening weak ties can be difficult, particularly those whom arecommonly tokenized, like women in engineering or those with interdisciplinary degreebackgrounds. Cultivating several functioning weak ties assumes unwritten network requirementsthat are problematic due to their gender-neutral structure, an informal unwritten practice ofnetworks. With men usually in the highest positions of power (seen also in engineering fieldstoday), network structures are related to gender composition of the network and leadership withinthe network; therefore, making women tokenized members (Kanter, 1977). In a network, memberstend to select individuals that reflect themselves for entry to
and out of class. The presentationserves as an elevator or rocket pitch of their idea and is purposely very short for students to learnabout being concise and the importance of selling their design ideas, which may be moreimportant than the design itself. This is also a great exercise for prototyping and creating aworking prototype.Fear of FailureThis activity is part individual exercise and part class collective in nature, where the activecomponent becomes a collaborative reflection. The exercise was adapted from “Fear of Failure”by Yamakawa and Neck [3]. The first part of the exercise involves an individual assessmentwhere students score themselves on nine questions (provided on a handout) designed to evaluatetheir risk tolerance and fear
of metacognition is critical to learning, especially in engineeringwhere the focus is on problem solving and the learning of inherently difficult conceptual material[6, 23].Epistemic metacognitionThroughout the study of epistemic cognition many researchers have included aspects ofmetacognition [2, 24, 25]. Recent work by Barzilai and Zohar [2, 9] conceptualize epistemicthinking as the combination of epistemic cognition and epistemic metacognition, reflecting thestructure of non-epistemic thinking. Within the epistemic thinking framework, epistemiccognition is conceptualized using situation and context-specific models and epistemicmetacognition includes the dimensions from metacognition reframed to be specific to epistemicmatters. Like in
knowledge was a moredistal motivator operating through self-efficacy and identity (Figure 1). The current study usesnewly gathered student data to pursue two objectives. The first objective is to use this newsample data to assess the cross-sample reliability and validity of the Engineering Values Scale(EVS), Engineering Self-Efficacy Scale, and Engineering IDentity Scale (EIDS). The secondobjective is to apply the same information-based approaches to modeling and inference to furtherassess the plausibility of a range of causal models possibly confirming the model identified inStage 1 (Fig. 1), or refining it to reflect new information gained. Thus, the first objective is tofurther confirm the validity and reliability of the scales, and the second
met an engineer, and - communication skills are crucial to practicing engineering.For the past several years, all first-year students majoring in civil and mechanical engineering,approximately 90 students per year, have been required to participate in these afterschoolprograms as “Engineer for a Day.” One engineering major from the class accompanies severalstudents from other majors to an after-school program to assist running a STEM activity. Theimportance of communication in engineering, and of practicing the communication of complexengineering topics to a general audience, is emphasized throughout the course. The engineeringstudents complete a reflection upon return to campus, discuss the experience in class, and use theskills
the translation and the number of constraints, informationgained from this exploration is conditional, with continued dialogue and sense-making withcommunity and institutional partners regarding amendments over time.The model, now referred to as the Community-Engaged Educational Ecosystem Model (C-EEEM, pronounced ‘seam’), has been refined from the original design into core elements andcritical factors using data collected through survey, interview, reflection, and observation fromstudents, community partners, or program managers. In its final year of an initial NSF ImprovingUndergraduate STEM Education grant, researchers are bringing the C-EEEM into another city inthe region as a prelude to scaled replication. Although researchers are
received much attention in recent yearsdue to its lack of diversity and the toxic culture in these companies. The United States populationis 13% Black, but this representation is not reflected in the technology workforce. In fact, fewerthan 5% of tech company employees identify as Black. These factors lead many Blackemployees to leave, costing companies billions of dollars to fill their positions–not to mentiontheir perspectives and expertise. The lack of diversity can also affect worker wellbeing,productivity, and innovation. To interrogate this issue, our study examines the experiences ofBlack engineers through their own narratives. We aim to interview 40 engineers within thetechnology industry to understand their working conditions. The
theprogram, and had provided parental consent and student assent to participate in research. Of thissample, 53.3% were female; 60.6% were non-white; and 30.2% were first-generation students.Further, 77.1% of students reported that neither parent was an engineer. As such, this sampleaccurately reflects the target population our program aims to serve.Results Descriptive statistics revealed that the sample reported awareness, interest, enjoyment,opinion formation, and understanding of engineering that centers on the median of the scale(range = 8-27, M = 15.55, SD = 4.47). This finding suggests that high school students in thecurrent sample have average to low understanding of engineering as a potential career field.Descriptive statistics also
bemisunderstood and ignored. It is crucial for engineers to be able to communicate their ideas toprofessionals outside of the technical realm such as humanitarians, politicians, and financialadvisers. The humanitarian education of engineering students is useless without the ability tocommunicate their globally conscious ideas and environmental concerns. To combat this, oral andwritten communication skills are incorporated into the curriculum using technical reports, oral-presentations, and reflective essays. After each experiment, it is suggested that a written report iscompleted as well as periodic reflective essays that ensure students are making a connectionbetween the technical experiments and their humanitarian aspects.3.4 Curriculum
application of LIWC is whether the pre-defineddictionaries that LIWC draws on are appropriate for the texts that are being analyzed. The essaysthat students compose in specific courses, for instance, may more strongly reflect concepts (assignaled by the words they use) in that course, and those concepts may not have been adequatelyanticipated in the development of LIWC.An emerging supervised method for text analysis uses naïve Bayesian computations. The methodis based on an extension of Bayes theorem and is used to create classifiers that identify predictorsthat are able to classify old and new instances. For instance, after training on a set of newspapereditorials written from reactionary and liberal perspectives, a Bayesian classifier can be used
program. Hence, the present study is motivated by these factors, and the overall interest inmaximizing the students’ writing capabilities as stimulated by a program in mechanicalengineering. An effort is made as part of this study to capture some of the long-term impacts of theefforts in the thermo-fluids lab course, through a survey of student perceptions of their abilitiesand experiences. The data included in this study was administered to seniors in a post-requisitethermo-fluids course asking them to reflect back on their technical writing skills and the coursesthat impacted such skills. This cohort of students had directly been impacted by the technicalwriting efforts described in this study, and hence could provide such insight
and the ways in which this identity is influenced by students’ academic relationships, events, and expe- riences. Dr. McCall holds B.S. and M.S. degrees in Civil Engineering from the South Dakota School of Mines & Technology.Dr. Lisa D. McNair, Virginia Tech Lisa D. McNair is a Professor of Engineering Education at Virginia Tech, where she also serves as Director of the Center for Research in SEAD Education at the Institute for Creativity, Arts, and Technology (ICAT). Her research interests include interdisciplinary collaboration, design education, communication studies, identity theory and reflective practice. Projects supported by the National Science Foundation include exploring disciplines as cultures
the bottom of the figure. The x-axis depicts perceived preparedness, with lower perceived preparedness to the left and higher perceived preparedness to the right. (Note that while we also have perceived preparedness data from participants’ pre-graduation interviews and their weekly surveys, we used only the workplace interview data to select participants for this paper; subsequent larger studies will use the full data set.) The size of the circle reflects extent of engineering identity; the larger the circle, the more the participant identified as an engineer. The shading represents mention of gender bias/discrimination (shaded = yes, unshaded = no).As is clear from Figure 1
years ago in a paper that discussed thecharacteristics of an effective faculty evaluation system.RE-ENVISIONING A NEW PROMOTION AND TENURE PROCESSFor a variety of reasons, colleges, universities, and academic units within these institutions aretaking a closer look at their P&T policies, and are considering making changes to these policiesto reflect the changing landscape of higher education (O’Meara, Eatman, & Petersen, 2015). TheSchool of Engineering (SoE) at the University of Dayton (UD) is one such organization that is inthe process of re-envisioning their P&T policies. Similar to the issues described above, the UDSoE P&T policies and procedures are summative, not formative; they do not fully promote orreward some key
of the product. Results showed that over half of the students believedthat the first solution helped them in answering the second question. Figure 1: Minimum Viable Product (MVP) for Aerospace Sophomore ClassroomWhile the initial learning module was geared to help students bridge the gaps of knowledge toassist them through their engineering courses, our team has begun to pivot the direction of themodules. Interviews from students within the department have suggested that lack of diversity inthe engineering field may be the cause of students switching majors. As of now, our team isworking on how to gear the personal learning module questions so that they reflect the needs ofthe students and professors in regards to diversifying the
their weekly homework assignment, students completed a memo responding to severalprompts that required them to use information from and reflect on their experience. Theydescribed the process their TV would go through at the center and after that. In response to theprompt “What stood out to you about your time at the USD Electronics Recycling Center?Describe how this learning can impact you both personally and professionally as a futureengineer,” about half of the students commented that what stood out to them was the largeamount of electronic waste generated in the USA. Several mentioned that they had never been tosuch a center and never considered “what has happened to all of my old electronics.”Some found it inspirational that students from
each day.Participants & the Class Portrait ProjectFifteen students, ages 14 to 16, at a public high school participated in the maker club – 7 boys, 7girls, and 1 gender non-binary. The club demographics reflected those of the school as a whole –5 African-American, 3 Latinx, 3 White, and 4 multiracial. Most students were from low tomiddle income families. In this paper, we focus on the work of one group, in which there werethree young women -- Casey, Deonne and B -- and one young man -- B’s brother Isaiah.Three members of the group – Casey, Deonne, and Bi – shared a homeroom, and decided tocreate a light-up Class Portrait. The portrait as initially envisioned would include a photo of allstudents in the class and use LEDs embedded in the
thisstudent was excited to conduct research on bottled water and share with the local community.Another student reflected on the pros and cons of the project with, “I was expecting just astandard lab class, where we perform experiments and write reports, but I was really glad to havehands-on experience on an environmental issue happening in our county. I thought the classproject would be more structured, but turned out to be more loose than what I would havepreferred.”The outlier was clearly the student who engaged with the David Tippin Water TreatmentFacility. That student talked about how the conversations for the project led to an interview foranother internship. The added benefits of engaging with the community and professionals wasclear. While
students’preferred learning styles, accommodation of such learning styles through different teachingapproaches, and finally the assessment of the student learning (Driscoll & Garcia, 2000).In order to better assess and accordingly accommodate student learning styles, researcherscategorized students’ learning styles in different ways usually on a bipolar continuum followingthe underlying fundamentals of learning: (1) processing of information: perception(sensing/intuitive), (2) input modality (visual/verbal), (3) organization (induction/deduction), (4)processing (sequential/global), and (5) understanding (active/reflective) (Driscoll & Garcia, 2000).Many assessment tools/surveys were developed to determine students’ learning styles that vary intheir
-2018 academic year, ACRP newlyincluded enhancing sustainability and resilience of airports as a topic in the challenge area ofairport operations and maintenance, and in the challenge area of airport environmentalinteractions [4]. The 2018-2019 design guidelines include these two topics as well [4]. However,the motivations for 2013 to 2017 winning teams to include sustainability in their designproposals have not been investigated. Because one of the evaluation criteria for this competitionis interaction with industry (12 out of 122 points), these motivations may reflect the demand ofairport industry for including sustainability or may reflect the inclusion of sustainability intodesign courses as recommended by ASEE.Student teams at U.S
each stage of an additive innovationcycle influences faculty practices and intentions related to pedagogical risk-taking.In this study, we engaged a cohort of non-tenure line instructors in a range of pedagogicalinterventions (named the Pedagogical Ninjas program) that spanned one semester following thedesign principles of the additive innovation cycle. We intentionally chose to focus on thispopulation to create a close-knit, coherent community of uniform rank and shared perspective onthe importance of teaching. Data was collected from each faculty participant, in the form of theartifacts they created, surveys, and reflective interviews. In this paper, we present details abouteach stage of the additive innovation cycle, including its
working on the homework exercises. Promote lifelong learning – One part of the first Basic PLC laboratory exercise – construct the logic to make two lamps to alternately flash at a given period – requires the student groups to think. No solution is given to them and it is not covered in the prior course lectures, though the lab teaching assistant will help them to figure out the solution. In addition, at the end of each laboratory exercise, the students ask a series of reflection questions to help them evaluate their performance and what they could do better.All of these courses were initiated in response to industry demand. In the 1980’s, AT&Tsponsored a project to develop manufacturing-related courses