current systems. (1, 2, 3, 4)The higher education arena interacts in a complex way with a variety of external partners whoserole, participation, and expertise must be harnessed to help overcome some of the challenges thathave beset engineering education in the Region. Perhaps the most notable partner in thisendeavor is the industrial sector whose role and participation in shaping engineering educationhas, unfortunately, been extremely modest by best estimates. Establishing a beneficial workingrelationship between colleges of engineering in the Region and industries at large, has proven tobe difficult, often short-lived, and appears at the outset, not to be rewarding to either side.Among the many factors contributing to this failure, is the
negatively affect the overall learning ofthe students as measured by their performance on a common, cumulative final exam. Studentsgenerally liked the opportunity to apply their knowledge to real world problems that werethematically centered on the biomedical industry and to be able to work in teams.IntroductionThe Kern Entrepreneurship Education Network (KEEN) supported by the Kern FamilyFoundation was created in 2005 to “champion the entrepreneurial mindset in undergraduateengineering students.”1-3 In an effort to achieve this goal, the Kern Family Foundation created anetwork made up of mostly private engineering schools that are committed to developing theentrepreneurial mindset in their undergraduate engineering students through the network
but not solarge as to invalidate the tools. Steps should be considered to educate students about potentialbias.IntroductionTeamwork is an integral part of Engineering and Engineering Education.1 Well-designed groupand team projects can help students gain valuable teaming skills, and accrediting bodies requirethese skills of engineering graduates.2,3 But teamwork is not without its problems. Social loafingand “I better do it myself, if I want an A” syndrome are part of many peoples experiences withgroup and teamwork.4 A well-designed peer evaluation process can improve the studentexperience and lead to more powerful learning outcomes.Peer evaluation can be used to foster a better team experience and to equitably recognizeindividual student’s
industries that had a great sense oftraditional values and environmental awareness, and explored Taiwan's culture through the eyesof local students. The cohort was a resounding success, with overwhelming positive studentfeedback. Overall, the SJSU GTI program has been very successful and has met the objectivesset for it. Embedding continuous assessment and improvement into this program has allowed usto adapt to changes and provide the participants with an intensive global experience.1. Purpose of the GTI ProgramIn the globally competitive 21st century, corporations have been aggressive in expandingmarkets and their workforces across the globe. In order for engineers to thrive in such anenvironment, they need to understand and prepare for this new
Satisfaction Table 4 Data collection procedures and schedules Phases Contents Duration(1) Pre-tests Demographics , computer experience, GPA Two weeks Knowledge on selected subjects through Concept Inventory Learning disposition measured through MSLQ(2) Collaborative learning Online discussion for collaborative learning Ten weeksthrough online discussion Students' Self-report on collaborative learning process Instructors
Children’s Hospital, and the Rehabilitation Institute of Chicago.Dr. Sheryl Elaine Burgstahler, University of Washigton Dr. Sheryl Burgstahler founded and directs the DO-IT (Disabilities, Opportunities, Internetworking, and Technology) Center and the Access Technology Center. These two centers promote (1) the use of main- stream and assistive technology and other interventions to support the success of students with disabilities in postsecondary education and careers and (2) the development of facilities, computer labs, academic and administrative software, websites, multimedia, and distance learning programs that are welcoming and accessible to individuals with disabilities. The ATC focuses efforts at the UW; the DO-IT
as compared to first-year students. The lower expectation of seniorstudents suggest that engineering instructors should consider ways to engage upper level studentsin creative behaviors. Future research includes a longitudinal study to examine how creative self-concept changes in progression through the engineering curriculum.Introduction The concept of creativity has been an important research topic since the 1950’s and1960’s.1 Educators and scholars with diverse domains of expertise have studied creativity, theskills associated with creativity, and techniques to increase creativity in their respective fields.2-6However, even in the field of psychology, where the most research pertaining to the topic hasbeen produced, researchers
through the NSF sponsored Engineering Coalition of Schools for Excellence in Education and Leadership (ECSEL) program. The main effort made under the ECSEL program was centered on creating a projectdriven approach to teaching engineering design to incoming students 1 . In 1992, seventeen students participated in the pilot section of ENES 100, which was anchored around the design and construction of a swing set. Afterwards, five design projects were developed to form a design project cycle. Those projects were based on the development of a wind mill, a solar desalination still, a weighing machine, a postal scale, and a humanpowered water pump. The motivation was that the design project cycle would ensure that the projects remained fresh for
and HCI practitioners.IntroductionNumerous studies have identified reflection as an essential element in learning, development ofexpertise, and supporting motivation.[1,2,3,4] As Rodgers put it “reflection is identified as astandard toward which all teachers and students must strive” and “the cry for accomplishment insystematic, reflective thinking is clear”.[5] While reflection is generally understood as animportant part of learning, it is emerging as a critical area of scholarship in engineeringeducation.[1] Operationalizing the concept of reflection in classrooms in order to help engineeringstudents engage in reflection has been a challenge and educators are seeking ways to best addressthis issue.[6,7,8]Similar to educators in engineering
currently no easy methods tosynthesize research results, share research data, and indeed validate research studies effectively.In general, topics related to data and data sharing are largely treated as taboos in the engineeringeducation research space. Data sharing mechanisms to enable fundamental research inengineering education that has the potential to address systemic problems have not yet beenclarified. The research goal of this paper is to identify and understand patterns for data sharingmechanisms in order to inform design requirements for data sharing practices and infrastructurein engineering education.1. IntroductionThe scientific community is increasingly recognizing the necessity for sharing scientific databeyond the initial purposes
(system).The general system analysis steps to problem solving are outlined in Figure 1.The initial step is producing a diagram illustrating the system and clearly delineating all theinput/output variables (V) that affect the behavior of the system and listing all the pertinentindependent equations (E) between the variables. The difference in the number of variables andindependent equations establishes the number of degrees of freedom (DoF) in the system. TheDoF value can be used as a check point on the mathematical reasoning or formulation of theproblem. If the DoF is zero, the solution of the problem is determinate with only one solution;but if V > E, there may be several alternative solutions, which defines the problem as a designcase
six learning outcomes in more detail:1. We refrain from addressing “Describe the difference between centralized and distributed software configuration management. [Familiarity]” 4 due to the constraints posed by teaching in the first year: software configuration management is beyond the scope of programming-in-the-small.2. We achieve the same mastery level on “Demonstrate the capability to use software tools in support of the development of a software product of medium size. [Usage]” 4.3. We exceed the recommended mastery level on “Describe how available static and dynamic test tools can be integrated into the software development environment. [Familiarity]” 4 by letting students have hands-on experience with testing tools such as
recession, tuition prices are skyrocketing, student loan debt has surpassed$1 trillion, parents, who have leveraged their homes through equity loans and first loans - for thesecond time, are losing faith in the value of education, state funding is dwindling, federal grantsare shrinking, and donor dollars are smaller5”. These are the times in which we live. Change isinevitable. We can continue to do what we do, until such time when we can’t, then, we must dosomething else. This is the prevalence of the literature today.There is a growing trend toward college and university mergers. Marcus6 states “…it’s a kind ofprivate sector-style consolidation that is becoming increasingly common, not only for publicinstitutions, but also for nonprofit
of responsible science and social science writing. What is less often Page 26.1564.2addressed by even the most thoughtful researchers, however, is the available field of existingresearch options, as such; the universe of possible, credible methodological choices orevidentiary standards.1, 2 We believe that reflection on those parameters would support a morerobust inquiry into STEM education subjects, as would explicit contextualization of researchers’chosen methods or standards along societal terms: that is, attention to the question of whichsocietal conditions may determine researchers’ embrace of quantitative or qualitative methods
students are motived by their engineering mentor’s engagement in their learning and driveto seek improvement. The authors were also enthused by the desire to make a difference, makingtheir learning experience more meaningful. Design projects that address problems posed by realclients, especially those that involve third-world problems, provide that opportunity. Through anevaluation of the design curriculum the authors made recommendations to strengthen studentengagement in engineering education.1 Introduction and BackgroundContext based education methods, where students are presented with application before science,are proven to be significantly more effective than traditional approaches that teach science first,then apply it to real life.1,2 The
the German Institute ofEconomics, the country currently needs 117,000 engineers, scientists, IT experts and technicians. Page 26.337.2U.K is also faced with a chronic shortage of science graduates and especially engineers, whereseveral industries are struggling with a shortage of engineers in the area of power generation,aerospace and manufacturing. Sub-Saharan Africa alone needs 2.5 million new engineers andtechnicians if the region was to achieve the UN Millennium Development Goal of improvedaccess to clean water and sanitation [1].The number of engineering graduates enrolled in Asian countries and their population trendshows that the
terms of theundergraduate and graduate degrees they earn at colleges and universities. Yet, in spite ofsuch advances, most science, technology, engineering and math (STEM) fields stillremain sharply gender segregated, with men making up the majority.1 This is nowheremore evident than in engineering. According to statistics, women earn 57% ofundergraduate degrees, but only 18% of baccalaureates in engineering.2-3 These trendsare a cause for concern because occupational gender segregation fuels the wage gapbetween men and women, which perpetuates gender inequalities.4 Additionally, a dearthof women in engineering represents the potential loss of human capital that could help toadvance scientific and technological discovery.5In response to this
their faculty research advisors received $100.AssessmentDemographicsThe pilot Spring Break for Research program attracted 25 applications for the pilot program. Fromthese applications, a diverse group of 20 undergraduates and 20 graduate mentors were selected asseen in Table 1. 60% 50% 45% 40% 35% 30% 25% 25.0% 24.3% 25% 20% 11.5% 10% 6.2% 0% URM Female Undergraduates in College of Engineering SB4R Undergraduates Graduates in College of Engineering SB4R GraduatesTable 1. Demographics
study was an interpretativephenomenology analysis (IPA)7; nine sophomore and junior biomedical engineering (BME) andmechanical engineering (ME) students at a southeastern land grant institution were interviewedabout their experiences in terms of connecting their future goals to their actions in the present.The themes that emerged from these interviews focused on the range of possible future selvesthat students described. These themes were then described graphically as being cone-shaped (seeFigure 1), where the three axes represent time-orientation, instrumentality, time attitude axis7.The second study was a phenomenography, focusing on the different ways in which students areperceiving the future5–7. This study was a continuation of the first
key steps: Chatbot development, educational intervention,and assessment design and survey development. Each step was critical in ensuring the successfulapplication of the chatbot as both a technical resource and an educational tool aimed at fosteringcritical thinking and ethical awareness in engineering students. Below the framework wasoutlined for the methodology and illustrated in Figure 1: 1. Chatbot Development 2. Educational Intervention - Ethical Training - Technical Training 3. Assessment Design - Likert and Open-ended Questions
strengthen the latest technicaland ethical tenants, standards, methodologies and techniques to better manage the complexitiesof software enabled capabilities. Industry is a vital stakeholder who needs to prioritize properoperational qualities ahead of immediate monitory and schedule concerns. The relationshipsamong technology, process, people and culture must be understood and managed to effectivelyand efficiently orchestrate the release of software capabilities that benefit all stakeholders, andminimize issues.Early Technical Issues and Response PatternToward the end of the nineteenth century homeowners excitedly purchased electric vacuumcleaners whose makers declared its amazing capability e.g., “the Domestic Cyclone” [1]. Theseearly vacuum
students also participated in the formal mentoringprogram with an experienced researcher as their faculty mentor and a network of mentors acrossthe NHERI sites.Qualitative and quantitative data were collected from NSF NHERI REU student participantsthrough pre-program and post-program assessments. These assessments were developed from thegoals of the NHERI REU program which include to (1) provide meaningful research experiencesto undergraduate students, (2) provide mentorship from an experienced faculty researcher, and(3) foster a community of researchers in natural hazards engineering research. This paper delvesdeeply into the mentoring experiences of students, highlighting the structure of the mentoringprogram and the outcomes from the students
contribute tostudents' professional identity formation through engineering education.Introduction and BackgroundEngineering education today faces the challenge of equipping students with both technicalknowledge and the ability to interpret and work with data. The increasing complexity ofengineering problems and the rapid growth of available data have made data proficiency essential[1]. Equally important is fostering a strong engineering identity, which influences students'persistence and career paths [2]. While much research has explored engineering identity—focusingon competence, recognition, and interest [3]—less attention has been given to how data proficiencyimpacts these identity components. This understanding is critical as engineering
the mountains “join” up). After mapping out the mountain, we can then lookto see if, for example, trees on different mountains have any systematic differences, such as theirgenus, average height, longevity, etc. The analogy of studying the location of trees on themountain is represented schematically in Figure 1 as a companion to the illustrative exampledescribed in this paragraph.Figure 1: Schematic representation of the illustrative example of use Topological Data Analysis. Here elevation profiles of mountains are examine to understand the different tree populations found in different elevation zones.In this same way, we use the Mapper algorithm to search the quantitative student response datafor patterns in the
of the traditional four-year baccalaureate degree.”The National Council of Examiners for Engineering and Surveying (NCEES), is the nationalorganization that represents the state licensing boards for professional engineering and surveyingacross the U.S. In 2015, NCEES approved Position Statement 35 – Future EducationalRequirements for Engineering Licensure4 by a nearly 2:1 ratio. The preamble of the statementsays: “One of the goals of NCEES is to advance licensure standards for all professional engineers. Those standards describe the technical and professional competencies needed to safeguard the health, safety and welfare of the public. The council recognizes that the future demands for increasing technical and
1prestige and conceptual hurdles . The POD community represents a young field with many new practitioners who have been or still are faculty in various disciplines and who have 2journeyed into faculty development later in their careers . Both communities intersect in the realm of engineering faculty development. All three of us work within that intersection; we are engineers who journeyed into education research during our time in graduate school and who now focus aspects of our education research and outreach on engineering faculty development. The purpose of this paper is to share what we have learned about the challenges and opportunities that arose while working to
Jacobs Excellence in Education Award, 2002 Jacobs Innovation Grant, 2003 Distinguished Teacher Award, and 2012 Inaugural Distinguished Award for Excellence in the cate- gory Inspiration through Leadership. Moreover, he is a recipient of 2014-2015 University Distinguished Teaching Award at NYU. In 2004, he was selected for a three-year term as a Senior Faculty Fellow of NYU-SoE’s Othmer Institute for Interdisciplinary Studies. His scholarly activities have included 3 edited books, 7 chapters in edited books, 1 book review, 55 journal articles, and 109 conference papers. He has mentored 1 B.S., 16 M.S., and 4 Ph.D. thesis students; 31 undergraduate research students and 11 under- graduate senior design project teams
have access to this technology. The remainder of this paper details the approach taken and lessons learned implementing 3D printers into a firstyear engineering design course. First, implementation details including specific tools, techniques and equipment used in the labs are provided. Next, the instructional approach developed to introduce the concepts and techniques linking CAD with 3D printing is presented. Preliminary results of this effort are then discussed by presenting (1) the print log data collected throughout the semester that provides an indication of the use and success rates associated with the printers and (2) data collected from a survey designed to determine the perceived effectiveness of the system and student
institutionalization strategies thatwere eventually employed. We will also discuss this project’s contribution to a greaterSTEM presence and culture on campus which has resulted in our Latino/Hispanic studentsapproaching full representation in STEM and engineering majors on our campus. (Figure 1) Approaching Representation 50% Percentage of STEM majors who are Latino Percentage of Latino students 40% 30% 34% 32% 34% 20% 26% 23% 19% 20% 10
faculty5,10. For these reasonsand more, learning communities should be a more visible and common means to helpengineering faculty to learn, share, and thrive.Building a Faculty Learning Community: A High Bar?How should a faculty learning community be formed? How should it operate? And who shouldset the process into motion? The most visible recommended practices for faculty learningcommunities in higher education come from the highly influential pioneering work of Milt Coxand his colleagues at Miami University. From their literature directed toward learningcommunity builders10,13–15, we might infer that: 1. A learning community must gain broad support within the hierarchy of an institution, including deans and departments and faculty. 2. A