to consider how these approachescould benefit industrial enterprise. Further, rigorous Engineering Education research practiceswere put to work underpinning the topical exploration, and enabling the class deliverables whichincluded individually developed, industry facing, research proposals, and formal proposal“pitch” presentations to industry representatives. Beneficial outcomes from developing thiscourse have included: 1) establishing a foundation of college/industry collaborative graduatelevel course work that supports the concerns of industry facing stakeholders and beyond, and 2)offering engineering education students a unique area of research specialization focused on life-long learning and engineering practice in Industry.Framed using
outcomes upon H/SS is explored. Based on this dependence, the appropriateness of thecurrent BOK2 H/SS outcomes is assessed. The proposed CEPC are examined in light of theneed for H/SS to underpin the expectation of the proposed criteria. Finally, recommendations forchanges to be incorporated into BOK3 are provided.IntroductionThe importance of humanities and social sciences studies in civil engineering education is wellestablished.1-6 ASCE's second Body of Knowledge (BOK2)7 recognized this importance andadded two additional outcomes, one for humanities and one for social sciences. As part ofBOK2, the outcomes were reorganized and the four foundational outcomes were mathematics,natural sciences, humanities, and social sciences.Educational
: Fundamentals, Sustainability, Design (1st and 2nd Editions,John Wiley & Sons, 2010, 2014) (1st Edition translated into Spanish and Portuguese). Page 26.930.2 c American Society for Engineering Education, 2015 Improving the Global Competency of Engineers through the Peace Corps Master’s International Program Manser, N. , Naughton, C. , Orner, K. , Prouty, C. , Verbyla, M. , and Mihelcic, J.R. 1 1 1 1 1 1 University of South Florida Department of Civil and Environmental Engineering
engineering and science education communities has been trying toaddress the problem of: Why do students leave STEM disciplines during their first year of college?The exodus of students from the STEM disciplines contributes to what Shirley Jackson, presidentof Rensselaer Polytechnic University, calls the “quiet crisis.”1 According to a 2012 article in TheChronicle of Higher Education, “60% of students who enter college with the goal of majoring ina STEM subject end up graduating in a non-STEM field”.2 The fact that this has been a long-term problem suggests that we have not been able to address the heart of the matter.This problem has been brought to the forefront due to recent economic needs of the United Statesand the rising demand for STEM
for First Year Undergraduates that Connects the Electrical and Thermal Properties of MetalsAbstractThe undergraduate engineering programmes at the University of Glasgow were recently revisedto include a common core of classes in Year 1 and Year 2. Materials I, an introductory materialsscience course, is now taken by all Year 1 engineering students. The lectures in the course weremodified to include topics that are of interest to electronic and electrical engineering students,electrical and optical properties of materials. A hands-on laboratory experience has been developedto support student learning on electrical resistivity and thermal conductivity. The hands-onexperiment about optical reflectivity will be added to the
, contrasting approaches to instrument validation, and the need for an online surveyand assessment system.It is worth emphasizing that this paper reports on research-in-progress, and is focused on avariety of methodological decisions – some which have already been made, and others still underconsideration. One major goal of this paper is to make visible and critically reflect on the kindsof study design decisions which are often absent or simplified in more conventional researchpapers. We therefore see this work as contributing to broader discussions of methodology andmethod in engineering education,1-3 while also following in the footsteps of colleagues who havepublished detailed discussions about the methodological decisions and challenges
identify the presence or absence of learning patterns using qualitative andquantitative modes of data evaluation viz a viz cognitive apprenticeship instructionalmethodology.This paper presents the findings of the research study which tested the hypothesis byinvestigating three key questions: 1) Does the use of simulation improve students ‘learningoutcomes? 2). How do faculty members perceive the use and effectiveness of simulation in thedelivery of technical course content? 3). How do students perceive the instructional designfeatures embedded in the simulation program such as exploration and scaffolding support inlearning new concepts? The paper also discusses the other aspects of findings which reveal that simulation by itself isnot very
Paper ID #13742Eliciting Informed Designer Patterns from Elementary Students with Open-Ended Problems (Fundamental)Mrs. Lija Andrija Yang, Tufts Center for Engineering Education and Outreach Lija Yang is an Educator in Residence and Curriculum Developer at the Tufts Center for Engineering Education and Outreach; she has a M.Ed. in Literacy Instruction K-12 and is a certified Reading Special- ist. She has taught 1-4th grade and integrated engineering concepts and thinking in her curriculum. Her focus is to help educators gain confidence and experience in STEM and enable them to inspire and teach engineering to budding
onehour long and used a question guide with nine questions developed using key areas to probebased on a review of the literature and interview questions developed for similar studies10, 11.The focus group data was analyzed using a careful approach in order to minimize the potentialbias when analyzing and interpreting this kind of data. Krueger & Casey point out that a robustanalysis should be systematic, sequential, verifiable, and continuous17. The Krueger contentanalysis framework was used. This framework includes the following headings for interpretingcoded data: 1) words; 2) context; 3) internal consistency; 4) frequency and extensiveness ofcomments; 5) specificity of comments; 6) intensity of comments; and 7) big ideas18.Some of the
engaging.This paper documents our efforts during the Fall 2014 semester to further integrate the ComplexProgrammable Logic Device (CPLD) into our introductory logic circuits course. This paperconsiders how to better present test benches as well as CMOS device characteristics, both ofwhich are important to students' learning experience about CPLDs. In our prior research weidentified test benches as a critical aspect in the use of CAD tools. Also we consider devicecharacteristics, which some other courses no long cover, to be an important part in anintroduction to logic circuits. For the Fall 2014 semester we started with several clearly defined,achievable goals in furthering the integration of CPLDs in our introductory logic circuits course. 1
provide mutual benefits through exchange andimplementation, where researchers and participants develop shared solutions to problemsof mutual interest [5]. Community engagement can positively impact citizenship and provide a larger senseof mission and clarity to those who participate [1]. These efforts are important to offsetthe increasingly business-oriented approach of higher education and to minimize theisolation of the “ivory tower” [5]. In the science, technology, engineering, and Page 26.1289.2mathematics (STEM) fields, a lack of connection between education and society’s needsis limiting interest and enrollment [6], minimizing creative outcomes
(WEPs) are often charged with offering college-wideinitiatives. This includes initiatives such as outreach programs for prospective engineeringstudents [1-3], summer bridge programs for transitioning engineering students [4-6], and mentoringprograms for current engineering students [4, 7, 8]. While engineering colleges typically share thecommon goal of improving recruitment and retention, the specifics of these initiatives cansignificantly vary across universities. This variation makes it difficult for practitioners (i.e., thoseinvolved in leading recruitment and retention efforts) to learn from other institutions and, morespecifically, successful practices are not always shared in a manner that facilitates benchmarking.Benchmarking is defined
study, but provide stronger evidence thatstudent involvement in HFOSS promotes student learning in the areas of tools and techniquesand technical knowledge about the process and tools used to develop an HFOSS project.1. IntroductionSoftware engineering programs as well as most computer science programs desire to providestudents with experience working on a real-world project in order to supply students with anunderstanding of professional practice including such skills as teamwork, communication, workethic, self-confidence and more. In fact, the SE 2004 curriculum guidelines2 emphasize the needfor including professional practice in the education of software engineers. A common way toprovide this experience is through instructor and/or student
-grantuniversity. In addition to the two lecture-based meetings, students attended a workshop sectionduring the third meeting of the week. Unlike traditional lab classes, CBWs are given to thestudents in a structured format that includes a challenge question and five step approach to guidethe students in the direction of both solving the challenge question and understanding theunderlying concepts. The challenge every week consisted of a hypothetical scenario intended tomake the students imagine they were engineers working in industry trying to solve a problem fortheir employer. Following the CBI technique, students work to solve the challenge question via researchand experimentation through a five step process: [1] The first step was to
strongly they identified as engineers (identity) and theirappreciation of diversity in engineering (diversity), see Table 1. Approximately one-third of theparticipants on any one survey were female, and approximately one-tenth of the participantswere underrepresented minorities (URM).ProceduresThe research team visited these two courses on the first day of class near the end of the lectureperiod. Students were presented with the research project and asked to complete a consent formif they were willing to participate. Consent forms were collected during the first week of thesemester. Consenting students were then contacted via email and asked to complete an onlinesurvey five times during the semester. The surveys were sent during weeks two, five
learned were: (1) design definitions vary across disciplines anddepartments need to explicitly develop design guidelines across all programs offered, (2)significant efficiency can be gained by developing one set of Program Education Objectives andOutcomes encompassing all programs offered, and (3) capstone design classes will need muchattention to detail if a single class is for multiple degree programsIntroductionOver the last several decades, and in response to a variety of drivers, departments of civilengineering at universities across the United States have expanded and many now supportmultiple degrees. Over the same time period, ABET’s Engineering Criteria 2000 introducedoutcomes-based assessment to the accreditation process for engineering
the individuals contributed to creating Page 26.1573.5a cohesive team environment. In particular, we were interested in which behaviors the teammembers displayed, when they displayed them, and how they contributed to the team’satmosphere and ability to work effectively together. The particular behaviors we used come fromSheridan et. al’s Team-member Effectiveness Framework which articulates 12 behaviors across3 ways of contributing to the team’s effectiveness, Table 2-1. Effective team members werethose seen exhibiting these behaviors and encouraging the rest of the team to exhibit them aswell.Table 2-1: Behavioral Team-member
. Page 26.592.1 c American Society for Engineering Education, 2015 Elementary Teachers’ Reported Responses to Student Design FailuresIntroduction The inclusion of engineering design within elementary education means that students’engineered designs will sometimes fail. Failure is a normal part of engineers’ and students’attempts to solve a problem by creating and testing possible designed solutions (i.e., designs); itis expected that one or more designs will fail to solve the problem and operate as intended.1, 2, 3, 4Although students may receive failing grades or perform poorly on a test, failed designs arerelatively new artifacts within elementary education.5, 6
- Purdue University Master of Engineering in Educa- tional Technologies - Eafit University Systems Engineer - Eafit UniversityDr. R Edwin Garc´ıa, Purdue University, West Lafayette Page 26.185.1 c American Society for Engineering Education, 2015 An Exploratory Study of the Role of Modeling and Simulation in Supporting or Hindering Engineering Students’ Problem Solving SkillsBackground and MotivationIn the context of problem-solving in science and engineering, the use and creation of computingartifacts are being used to understand and design systems 1
evaluated each item in the original EAO individually for reasonablenessand ease of interpretation by a first-year undergraduate student population. The evaluationsfocused on ensuring alignment between the experiences that items asked subjects to recall andexperiences that first-year undergraduates are likely to have had. In keeping with the goal ofminimal modification, changes did not include any adjustment to item-subscale alignment. Themodified instrument maintained the four original EAO sub scales: innovation, personal control,self-esteem, and achievement. The breakdown of items by subscale and attitude componentappears in Table 1. Subscale Affect Behavior Cognition Total achievement
) acknowledged that all available evidence can and should be utilized whenconsidering the validity of an assessment in a particular context, but also that certain evidencemay be stronger than other types.14 In particular evidence must be introduced to account for sixparticular aspects of the unified validity construct: content validity, substantive validity,structural validity, generalizability, external aspects of validity, and consequential validity.Figure 1 describes each of these validity types and demonstrates their interrelationships.Collecting data on multiple aspects of validity with a single methodological approach ischallenging. A mixed-methods approach provides multiple means to collecting such evidence.Messick (1995, p. 747) noted that “the
they develop misconceptions (e.g. Gentner & Gentner, 1993).1 The formation ofmisconceptions can act as a barrier to learning, limiting additional learning within that contentarea.2, 3 As such, semiconductor courses must tailor content with student misconceptions inmind.2, 3 Research is needed to determine what these misconceptions are so that changes can bemade to the curriculum. The research addressed in this study specifically looked atmisconception formation in the area of semiconductors.Misconceptions Overview Research is being conducted in engineering education on how people learn content inengineering(e.g. Streveler, Litzinger, Miller, & Steif, 2008).4 This work has primarily used theframework of conceptual knowledge
engineers take—should cover this. Fortunately, a short discussion of a powerful real-world model for investingalso helps support understanding of (1) the relationship between risk and return, and (2) the valueof diversification. Increasing a course’s relevancy to the student’s life has been shown toincrease both motivation and understanding.Keywords: risk, return, diversification, investingIntroductionEngineering economy and finance courses and texts overlap but they focus on different topics.Risk coverage in finance focuses on the value of diversification in reducing risk, the CapitalAsset Pricing Model, and the relationship between risk and return. In contrast, risk coverage inengineering economy typically focuses on calculating the standard
theaerospace, automotive, medical/dental, and consumer products industries.1 The ASTMInternational Committee F42 on Additive Manufacturing Technologies currently classifies AMprocesses into seven categories based on the techniques used to deposit the layers and themethods in which the layer are bonded. These seven types of AM processes are VatPhotopolymerization, Material Jetting, Binder Jetting, Material Extrusion, Powder Bed Fusion,Sheet Lamination, and Direct Energy Deposition.2Since its inception, AM has been used as a tool to facilitate engineering education and as afocused topic within design education. More recently, AM has become the central topic ofindividual courses within both engineering and engineering technology programs.As a
with reflections on how to successfully implement auniversity STEM scholarship program to attain the simultaneous goals of increasing STEMenrollment and increasing diversity in the STEM fields. In particular, this paper highlights thenecessity of strong and broad-based (peers, faculty, and industrial) mentors. Initial results areencouraging with regards to STEM scholarship student retention.1 IntroductionThe Executive Summary of “Rising Above the Gathering Storm: Energizing and EmployingAmerica for A Brighter Economic Future,” notes that “scientific and technological buildingblocks critical to our economic leadership are eroding at a time when many other nations aregathering strength”1. This, however, is not the first report that has spelled
illustrates how the integration and synchronization of the course content isachieved. Quantitative metrics of the outcomes of the course are provided, including results fromstudent course evaluations, surveys, and exams. Results to date indicate an increase in bothprogramming competency and satisfaction with the learning experience.1. IntroductionWe have recently implemented an integrated, hands-on, project-based approach to instructingMechanical Engineering students in computer programming at the University of Utah. Our newcourse serves as an introduction to computer programming for freshmen in MechanicalEngineering, preparing students in particular for a sophomore-level Numerical Methods courseand a junior-level Mechatronics sequence. It is desired
andEydgahi (n.d.) approach this issue as it relates to curricula, by recognizing that non-STEM fields such as Social Sciences andHumanities “emphasize more on ‘soft skills’ and ‘social service’ and as such have naturally embraced ‘service-learning’” (p. 1). As aresult, integrating academic fields with “service-learning” that emphasizes, “‘technical’ and ‘scientific’ skills such asEngineering…[is] rare”33. Another difference in the definition of service learning provided through an evaluation of Jacoby (1996), who defines servicelearning as a “form of experiential education in which students engage in activities that address human and community needs togetherwith structured opportunities intentionally designed to promote student learning and
professional identity.1. Previous Research on Class SizeAs Johnson1 observes, there is not much agreement among researchers about what constitutes asmall and a large class: the number of students that comprises a small class varies from 132 to653, and large classes range from 54 students4 to 3505. While the disagreement about thenumber of students that comprise a large class is significant, the estimation of a small class isrelatively consistent: a small class usually has no more than 30 students6, or perhaps just a fewmore (there are a few exceptions, however, who regard small classes as having 35-39students5,7,8). Both professors and students feel the effects of additional students more stronglyin smaller classes than they do in larger classes. In a
literacy toreinforce the need for life-long learning skills.IntroductionAn engineer’s ability to use the correct engineering standards and codes effectively “…canreduce manufacturing costs, create customer satisfaction, open new markets and vastly improvethe quality of products and services” [1]. To prepare students for professional practice universityengineering programs are responsible, as specified by ABET, to create “…a major designexperienced based on the knowledge and skills acquired in earlier course work and incorporatingappropriate engineering standards and multiple realistic constraints”[2]. Furthermore, standardsand technical reports were ranked as the most important types of information by corporateengineers in a survey by Waters
the energy balance portion of thecompetition. Shown in Figure 1, the Norwich ΔT90 house was named for the 90ºF differencebetween inside and outside temperatures that residents of Vermont experience each winter. Figure 1: Norwich University ΔT90 House at 2013 Solar Decathlon CompetitionAlthough due to the scoring rubric two other schools were officially listed as tied for first placein affordability, at $234,000, one of these two houses cost 39% more than the Norwich team’shouse and at $248,000, the other cost 48% more than Norwich team’s house. All other houses inthe 2013 Solar Decathlon competition cost more than $250 per square foot.3While this was the most affordable solar decathlon house in the history of the competition, basedupon