active learning spaces to support a variety of pedagogical strategies”. Their team ofpedagogy experts and IT technicians work with the selected faculty individually and in somegroup activities to assess our use of the space to ensure we are maximizing its potential.Teaching in an architectural design studio classroom style requires the ability to function both inteams and/or pods of students collaborating to generate creative solutions to vertical structureproblems and space use issues. Physically putting students in pods where they face each othermeans being comfortable with some students having their backs to the lecture position or whatwe traditionally think of when we say front of classroom, see image 4.0. However, with themobile tablet the
format, the researcherssimultaneously facilitated the SC activity for both in-person and online students during a 75-minute class session.2.2.2. SC class activity facilitation:Following the widely tested protocol outlined in the manual, we executed the SC class activityover these five, systematic phases: 1. Introduction and Icebreaker: The facilitator began by sharing a recent engineering graduate’s profile featured on the institution’s website, recognizing the alumnus for career achievements and highlighting communication skills needed for work in diverse environments and teams. Next, the facilitator introduced the concept and history of the SC methodology, pointing to its success in diverse settings around the world
current assessments of their students to design it. An example of theIndependence Grid 1 with required skills and knowledge for each research independence stagewas introduced as the starting point for the discussion. Since all three participants were facultyfrom the mechanical engineering department, they worked together to generate an independencegrid for mechanical engineering doctoral students at UMass Lowell. They then went further todevelop some strategies to help students move up the stage levels. In their training session,mentees were given the newly developed independence grids by the mentors. The individualmentee identified the researcher independence stage they thought best described their situationand discussed the rationales and
. 2021, doi: 10.1016/j.destud.2021.101044.[37] M. Hu, T. Shealy, and J. Milovanovic, “Cognitive differences among first-year and senior engineering students when generating design solutions with and without additional dimensions of sustainability,” Design Science, vol. 7, ed 2021, doi: 10.1017/dsj.2021.3.[38] M. Hu and T. Shealy, “Methods for Measuring Systems Thinking: Differences Between Student Self-assessment, Concept Map Scores, and Cortical Activation During Tasks About Sustainability,” in 2018 ASEE Annual Conference & Exposition Proceedings, Salt Lake City, Utah, Jun. 2018, p. 30807. doi: 10.18260/1-2--30807.[39] S. Tak and J. C. Ye, “Statistical analysis of fNIRS data: A comprehensive review,” NeuroImage, vol
thissoftware in real engineering companies. The students were immersed in construction companies,as interns on construction sites. Our research goals were to study the students’ learning and anyimpacts on the companies’ practices; in particular, how new communication skills, tools,symbols, concepts, and procedures disseminated in both directions. Open-ended surveyresponses from the years 2017, 2018, and 2019 were analyzed using the constant comparisonmethod to allow themes to emerge from the data. The analysis of these data shows 1) Throughthe design and prior training of workers, it generated a psychologically safe learningenvironment for students in companies. 2) students recognize they establish a clear connectionbetween the objectives of the
exploration of the in/authentic experiences of Black engineering interns (Work in Progress)AbstractIn this paper, we discuss the preliminary results of a project that explored the effect of internshipexperiences on racial and engineering identity development for nine Black engineering students,four women and five men. Specifically, within this paper we highlight the narratives of threeparticipants and outline how their internship cultures affected the extent in which they couldauthentically be themselves in the workplace. This was done through an extension of Faulkner’sconcept of in/authenticity as a theoretical framework [1], [2]. To understand the experiences ofthe engineering students, our methodology followed steps
retention down the road as well. [1]” Here we argue that it is not only internships, but also professional experiences including non-technical or those unrelated to one’s major that provide value for students’ career readiness. Inthis study, professional experiences were inclusive of working for an organization in a positionrelated or unrelated to one’s major (paid or volunteer); doing research in a position related orunrelated to one’s major (paid
generated, that is critical for project success.Background and Theoretical FrameworkCollective argumentation [9] is an effective learning strategy for promoting deep levelunderstanding course content and is used in k-12 education due to its relationship with criticaland higher order thinking. During the collective argumentation process, the student must articulate the reason for approaching a problem in a particular way, justify the approach using data and information to support the reasoning, and provide the principles that establish the justification. In mathematics and science education, the use of argumentation to assess student knowledgerelies on three core components commonly called the claim, data and warrant (Table 1).Multiple examples
, please refer to the EMS Technical Manual (Gilmartin et al., 2017).EMS 1.0 employed various types of questions. Academic learning experiences and activitieswere asked as “participation” questions, resulting in a binary (yes – 1, no - 0), self-efficacyconstruct questions were asked using a Likert “confident can do” scale (0 – not confident, 4 –highly confident), engineering career persistence was asked using a Likert “will not/will” scale(0 – definitely will not, 4 – definitely will) and proximal influences were assessed using a Likertfrequency scale (0 – never, 4 – very often).This data set contains four constructs that correspond to specific nodes in the SCCT model (seeFigure 1). These constructs are described as follows, and shown in detail in
18 19 19 20 20 21 21 Figure 1. Excel (left) or graph paper (right) breadboard pattern for component layout Figure 2 Printed Circuit board (left) corresponding to a breadboard layout (right) for easy transfer for soldering. In the second week, more complex concepts were presented. Students learned aboutsignal theory starting with wave properties, then observe demonstrations of waveforms usingfunction generators and oscilloscopes. They were given time to experiment using the labequipment. They learned the basics of operational amplifiers and
detailedanalysis on how academic performance might vary based on students' ST skills and PP. This studywould address this gap.Students' Academic Performance: In order to clarify which non-intellective factors are most usefulin understanding academic performance, six research domains were considered includingpersonality traits, motivational factors, self-regulatory learning strategies, students' approaches tolearning, and contextual psychology. Table 1 below presents the different application domains,general themes, discussion, and findings of the six research domains. Table 1. Current Themes of Academic Performance in the Education Literature Contributor
related to product development relevant to Universal Design and apply them to create value for diverse populations Expand the utility of a product so that it provides equitable use Incorporate insight from multiple perspectives to move forward with product design Perform quantitative analysis on engineering design problems using statistics and economic analysis Work effectively in problem-solving teams and carry out meaningful performance assessments of individual team members Develop technical communication skills in written, oral, and graphical formatsThe UD project was completed over the course of five weeks in a 15-week semester. Generally,the 75-minute class meeting was dedicated to a
Implementation, Sequential System Verilog 6 Exam, Testing & Troubleshooting 7 ALUs & Binary Operations*, Counters*, Shift Registers* 8 Health Monitor Design (with focus on reaction timer) Table 1. In-class topics. (*Topics that directly address health monitor capabilities.)LabWeekly lab assignments provide students hands-on experience implementing and testing digitalcircuits. Table 2 shows the labs and the general topics they address. As indicated in the table, somelabs have a direct application to the health monitor. In these labs, students create modules that theywill directly use, or use with small modifications, in the final health monitor. Other labs indirectlyhelp by
academic career at Carnegie Mellon Uni- versity, Boston University, Olin College, and Northeastern University he has been the recipient of the first Whitaker Young Investigator Award from the BMES, a Searle Scholar Award, and an Early Career Development Award from the NSF as well as a three-time recipient of the Omega Chi Epsilon Outstand- ing Faculty Award from the Northeastern Student Affiliate of AIChE. He also has led industrial R&D teams at Organogenesis Inc. and Polymerix Corporation developing tissue-engineered medical products and drug- generating biodegradable polymers, respectively, and has co-founded Automated Cell, Inc. In addition to being an inventor on 11 issued US patents, he has published the
showed that the students as a group became more collaborative in their conflict management styles between their junior and senior years.IntroductionMarket forces within the construction industry are demanding more collaborative environments.Construction Management at Risk, Design/Build, Lean Construction, and Integrated ProjectDelivery (IPD), now account for most of all construction contracts.1 In particular, IPD requires asignificant level of collaboration to succeed. However, these increasingly collaborative projectdelivery systems do not ensure collaboration. For example, Lean Construction proponentsfrequently employ the principles of IPD and have positively impacted the construction industry,but success does not occur on every
submission). Yes No 2. How accurate do you feel the feedback you received is? The areas identified as strengths (AccuracyS*): 1- Completely off/wrong 2- More off-base than on target-although a little bit of it was accurate 3- Generally on target 4- Completely on target The areas identified as weaknesses (AccuracyW*): 1- Completely off/wrong 2- More off-base than on target-although a little bit of it was accurate 3- Generally on target 4- Completely on target 3. How would you rate your grade on this assignment (RateGrade*): 1- Higher than expected
application of AIin industrial scenarios. The minimum credit requirement is 1 credit, which means thatstudents are required to choose at least one course to study and complete relevant practicaltraining.Table 4 Curriculum Structure of Algorithm Courses Course Teaching Course Name Credits Module Institution Applications of AI and Deep Learning ZJU, Baidu 1 AI Full-Stack Theory and Practice Huawei 1 Algorithm General Vision Framework: OpenMMLab SenseTime
Science, and Technology (EAST), was recognized as a significant benefit to the students’immediate need to earn income as well as gain additional training and networking opportunities withthe local and broader industrial community. The desired educational outcome was intended to fill sixbasic requirements for the associated students. These include: 1. Reinforce core concepts instructed in the various engineering and engineering technology curriculums. 2. Generate interest and persuade students to enroll in upper division technical elective coursework specialized in aerospace and closely related fields. 3. Develop comradery, collaboration, and teamwork skills among the students enrolled in the various traditional
computing [12]. Adapting theseinstruments to a disciplinary-specific context is difficult, largely for two reasons: (1) eachdiscipline develops software within its own epistemological paradigm [13], and (2) theterminology used in one discipline may not match what is used within another [14]. Thus, todeeply understand SEPT use within a discipline, we must understand the ways in whichpractitioners of that discipline engage with and articulate the process of softwaredevelopment.To address the above problem, we present in this paper a preliminary design for a qualitativestudy designed to answer the following research questions: 1. How do students and practitioners in non-computing-centric engineering disciplines understand generally accepted
previously explored in systems engineeringliterature17, 18, 22, 24. More than two decades ago, Richmond17, 18 discussed the need for individualsto be systems thinkers, and he identified seven critical systems thinking skills that an individualought to adopt (dynamic thinking, closed-loop thinking, generic thinking, structural thinking,operational thinking, continuum thinking, and scientific thinking). More recently Squires et al.24identified a systems engineering competency taxonomy consisting of five categories ofcompetencies (technical leadership, technical management, project management, broadprofessional, technical/analytical skills) for lead program system engineers. As these examplesillustrate, existing works have focused predominantly on
attainment ofengineering students has been shown to vary significantly between ethnic groups [1]. Whilstit is recognized that the participation rates of minoritized students varies across individualdisciplines within science, technology, engineering, and mathematics (STEM) [2], thereexists a general underrepresentation of those referred to as ‘BME’ [* see Notes] [3].Participation rates also vary between level of study, with 32.3 % of those accepted onto UKbased engineering undergraduate courses in 2017 classed as ‘BME’, compared to only 22.2%at graduate research level [3]. Such issues with persistence (which here refers to the transitionfrom one career stage to another, for example, progressing from an undergraduate program toa graduate program
students (e.g., [27]–[31]). This approachtypically requires students majoring in technical fields to take additional courses housed inliberal arts departments. Students learn content from the liberal arts but it remains divorced fromtheir technical studies.In spite of the general education requirements within technical programs of study, graduates withnewly minted engineering bachelor’s degrees are falling short of the expectations of theiremployers, who struggle to find new hires with the full complement of skills required to succeedat all aspects of the job [33]–[36]. Indeed, many students who acquire technical degrees go on totake jobs outside of their fields [37], a scenario in which the need for broader skills and mindsetsis inarguable
UTFs’ teaching, especially in the space ofa pedagogy seminar. Our study, which looks at two classroom episodes in great detail, is alignedwith other work that has studied a single student in great detail.14-16 Using a single “revelatory”case is useful to develop theory about mechanisms of learning.17 This kind of work is notintended to generalize across populations of students, but instead points to ideas that can beexplored in other settings.18-19Conceptual FrameworkEmpathy and Empathetic PathwaysEmpathy is typically defined as a state of being. Batson reports 4 different psychological statesof empathy, the cognitive/perceptual and the affective/emotional, which involve (1) imagininghow one would think and feel in another’s situation or
a compressor. They had to include all thesteps required to show whether the changes in entropy during the process were positive, negativeor equal to zero. The following is an example of the statement for an external problem.A rigid, insulated tank of volume 5 m3 is connected through a valveto a steam line through which superheated water vapor flows at 4MPa and 500 oC. The tank is initially contains water at 1 bar and aquality of x = 0.5. The valve is opened allowing steam to flow intothe tank until the pressure inside the tank reaches 4 MPa.a) Write down the most general form of rate equations for the conservation of mass, energy (first law), and second law for a control volume. Ignoring the kinetic and potential energy effects
communities and criticalinfrastructure that are exposed to extreme risks generated by natural multi hazards, namely, floods(storm surges and swells, tides, waves, rivers, urban drainage, tsunamis), winds (hurricane),earthquakes, soil instabilities (erosion, sedimentation, liquefaction, landslides), corrosiveenvironment, and many combinations of those. The US Department of Homeland Security (DHS)has established the need to protect and upgrade the state of the nation’s critical infrastructure to amore resilient and sustainable state.The paper will present the outcomes of the educational project sponsored by the DHS to helpimprove the resilience of coastal infrastructure by means of education and building capacity. Thegoal of the project is to educate
better leadership at the new institution, and (3) dual careerconsiderations. The most common of these factors was the availability of resources. For thoserespondents in leadership roles such as department chair, the availability of a larger budgetcoupled with greater autonomy in how to allocate resources were particularly appealing. Forfaculty that did not hold leadership roles, the draw of larger and better equipped lab space ormore generous research funding was appealing. For men, pull factors at their new institutionincluded (1) availability of resources, (2) opportunities for leadership such as building a newdepartment or institute, (3) perceptions of better leadership at the new institution, and (4)strength of department or better fit with
rigorous empirical knowledge base to support the transformation ofengineering education practice. For example, in the opening plenary at the 2011 AmericanSociety for Engineering Education (ASEE) Annual Conference, presenters focused onaccelerating the use of research in practice. 1 This investment has accelerated the need to askquestions such as the following: What are the implications for action of our research? Whatgeneral ideas does our community have about how research can promote action? and What canbe done to accelerate the rate at which research is used to transform engineering education? Suchquestions are part of the phenomenon known as translational work, or the work of connectingresearch to action. While such work has always been
-building, for example, community designers(especially youth) are rarely in the lead. Often, the sense of urgency in a disaster recoverysituation creates a “help the helpless” mindset among aid agencies, and also creates a timeausterity that conflicts with listening, building local consensus, and modifying recovery plans [1][2] [3]. Few funding channels are open to community teams to design and implement their ownsolutions. It is difficult for community designers to access scholarly research and technicalengineering, and difficult for sophisticated engineers to embrace simple, inexpensive solutions.To put this in perspective, we understand development approaches in general, and disaster reliefapproaches in particular, to fall under one of four
research and semi-structured interviews to develop the survey inventory to investigate the unique environment,educational practices, and goals of engineering graduate study [8]. We analyzed students'perceptions of unfair treatment to capture the psychological, emotional, and social responses theyreport.BackgroundGender, racial and ethnic diversity in engineering, particularly in graduate education, does notreflect the general population diversity in the U.S. [1], [2], [9], [10]. In many ways, engineeringrepresents a microcosm of the institutional and structural barriers to persistence traditionallyunderserved graduate students face in higher education across all majors, resulting in adverseeducational outcomes [11]. Gender and race-based bias
conversations, the community of engineeringeducation collaborators decided to develop a week of action as a goal towards which to organize.This provided a structure and intention for which to build content specific to engineeringeducation, as well as start to develop an infrastructure for continuing conversations andcollective support. We have been collectively generating content that can be shared and used viathe website www.engineersshowup.org.Background and structure of roundtable sessionThis session will start with a brief framing description by core organizers of the overarchingRelational Organizing/Action Research (ROAR) project, in which we are interested in achievingtwo goals as outcomes of research with and about engineering educators: (1