. Page 26.465.21 IntroductionMany community colleges, including Salt Lake Community College (SLCC), have increasinglycomplex demographics. To name a few, this includes traditional, non-traditional, working full-time, and family committed students. SLCC’s mission is directed toward such a body of studentsbecause it is an ”. . . open-access, comprehensive community college committed to serving thebroader community. . .” [1]. It achieves this mission statement by focusing on 4 core themes. 2 ofthese 4 are most applicable to the topic presented in this paper which are Access and Success andTransfer Education [2] . In addition to obstacles presented college-wide, engineering students face significant intellec-tual challenges. To be successful
that was captured at timet. Later, the same pixel moved to a new location (x+dx, y+dy) in the adjacent image frame thatwas captured at time t+dt without changing the pixel intensity. By assuming the small spatialand temporal changes, Taylor series of the pixel intensity at t+dt is given by ( ) ( ) . (1)Since the pixel intensity I is assumed to be constant at all time in this method, above series willbe simplified to . (2)Here, ( ) and represent the measurable gradients of the intensity and the known timeincrement between image frames. eq.(2) is unsolvable due to the two
because“students can get involved and can learn by doing.”Methodology and ResultsDecision analysis theory is covered during an engineering economic analysis course. The courseis offered to students in their second academic year and for this study, 20 students were involved.The typical course content for a one semester is listed in Table 1. Page 26.665.3 Table 1 List of Topic Covered in the Engineering Economy Course Topic Intro to Making Economic Decisions Engineering Costs and Cost Estimation Interest and
engineeringtechnology programs are based on increasing self-efficacy. Self-efficacy has been used instudies as a measure of engineering design4, persistence5,6, success in mathematics7,8, gender inengineering education9,10, career choice11, and more. Self-efficacy has been shown to becorrelated with several key personal and academic characteristics, as outlined in Table 1.Students who have high self-efficacy for circuit analysis should have high confidence in theirresponses to an assessment of circuit analysis. Table 1. Characteristics Correlated with Self-Efficacy Number of college Hours worked each week12 Total time in program13,14
design. The report included an appendix which documents thedesign calculations and preliminary engineering drawings of individual unit operations.The course required students to perform at a variety of cognitive levels as classified by Bloom’staxonomy4. In engineering practice, especially in the engineering design process, higher–orderthinking is required. Too often junior engineering students are accustomed to learning material atlevels 1 through 3 on Bloom’s taxonomy scale (knowledge, comprehension, and application).The assignments in this course were created to facilitate student development as a futureprofessional engineer by working at the six cognitive levels of Bloom’s taxonomy and also someABET criteria (student outcomes a, c, e, f, g, h
similarities in syntax. While teaching MATLAB as an introduction toprogramming is not new7, direct interfacing between MATLAB and hardware still remains non-trivial. For example, using MATLAB to operate an Arduino microcontroller requires Simulink,which adds another layer of complexity. By design, ECE 103 avoids overly theoretical computerscience topics to focus on practical techniques that would be of value to electrical engineers. Therevised course outcomes for ECE 102 and 103 are shown in Table 1. Table 1: Course Outcomes – Students have the ability to … ECE 102 ECE 103 1. Solve engineering problems by applying 1. Develop algorithms in C to solve the
project sizes and requirements for the students to achieve in a reasonable labtime.Keywords: BIM education, Computer lab education, project-based learningIntroductionAs Building Information Modeling (BIM) has been identified as a new paradigm which couldsignificantly improve productivities and efficiencies in the architecture, engineering andconstruction industry, many construction related programs started to integrate BIM componentsinto their curriculums[1]. According to the results from a survey distributed to members of theAssociated Schools of Construction (ASC), as of 2008 less than 1% of the construction programshad a stand-alone BIM course, while 9% incorporated BIM as a component of their existingcourses[2]. By 2013, 54 % of construction
as an isolated department; rarely understood by otheremployees and only utilized when a problem occurred. Today, however, IT has become thecenter of most every organization – supporting all departments and being involved with all facetsof the organizational processes. According to Holtsnider and Jaffe [1], “IT departments are bydefault in the middle of action. Everyone is aware of the values that computerization can bring toan enterprise” (p. 603). Due to this drastic increase in the level of IT involvement, the need existsfor talented, experienced individuals to fulfill rewarding IT positions. Experience is no problemfor one working in IT for twenty years, but how does a college student with little or no prior ITinvolvement gain valuable
graduating fromcollege with science, technology, engineering, and math (STEM) degrees. This issue isparticularly germane to the State of Washington where 50,000 jobs will go unfilled by 2017 as aresult of the job skills gap.1 Despite awareness of this need, populations that are underserved inengineering are a largely overlooked demographic. We have an opportunity to make a differenceright here in Washington, where in 35 percent of school districts more than half of the studentsreceive free- or reduced-price lunches.The Washington State Academic RedShirt (STARS) Program, based on the University ofColorado’s GoldShirt Program, aims to increase the number of students from economically- andeducationally-disadvantaged backgrounds who graduate with
responses to the survey were collected using Survey Share, an online survey service towhich UNC Charlotte subscribes. Participants were emailed a link to the survey along with anexplanation of the purpose of the survey. After approximately two weeks, a reminder was sent tothe participants who did not respond. A total of 151 participants were identified, of which 44completed the survey. The response rate was 29.1%, and included participants from 24 states and34 institutions. The distribution of responses per state is shown in Figure 1. Thirty-seven of theresponders were Assistant Professors, while 7 were newly promoted Associate Professors. Figure 1: Distribution of ResponsesTwenty-nine of the responders stated that they
[1] from Swanson Schoolof Engineering (United States) notes that “The most significant changes come as a part of threemajor areas of transition: Academic Transitions; Family Transitions; Personal Transitions”.Below we shall use this definition and discuss these challenges in Russian educational system.The inability to overcome these challenges leads to the high dropout rate of freshman. D. Budny[1] suggests to overcome the difficulties of Family Transitions by making “parents part of thefirst year orientation and educational process” in spite of the United States’ law “Family EqualRights and Protection Act of 1974 (FERPA)”. But the realities of Russian universities are notquite the same, in particularly, concerning the so called “Family
content.Larson et al.1 recently discussed ABET’s Criterion 3, and how curricula were expanded toinclude items such as teamwork and communications. The authors noted some haverecommended refining Criterion 3 from eleven to five outcomes, with one of the refinedoutcomes quoted as follows: “D. Demonstration of professional behaviors through teamingskills, communications, and ethical responsibilities.” A recent interview in a magazine of theAmerican Society of Civil Engineers (ASCE) noted communication as a beneficial nontechnicalskill, but also noted it is very difficult to integrate many nontechnical skills into engineeringcurriculums since so much technical information is required (Hill2). Just prior to the completionof this document, a magazine article
archeology, since an attempt ismade to actually reconstruct historical artillery about which very little is known. The studentsthen fabricated and fully tested their Onager design.In the this paper, the authors present a detailed case study of the interdisciplinary Onager projectthat mirrors the interwoven historical and engineering pathways that the student team had totraverse to produce their final Onager design and fabrication. Through a detailed description ofthis interwoven engineering and history-based project the authors hope to illustrate the criticalthinking skills and appropriate engineering analysis and testing methods that the student teamwere required to identify and use in order 1) to determine the historical-based
students achieve learningoutcomes, and view personalized librarian consultations with project teams as the most criticalpiece of that support. 1. IntroductionThe authors, both instruction librarians, completed this work as a baseline for understandingwhat questions and issues related to information seeking and use are most critical to facultyadvisors and their student teams completing significant project work at project centers both in theU.S.A. and across the globe. This population has been the focus of library instruction atWorcester Polytechnic Institute (WPI) for over a decade since the information needs of theproject teams are complex and extensive. The vast majority of team projects we examined werecompleted off-campus, and in most cases
. Page 26.1519.1 c American Society for Engineering Education, 2015 The Ebb and Flow of Engineering Leadership OrientationsContextThe National Academy of Engineering and Engineers Canada have been advocating forengineers to assume greater leadership responsibilities in their workplaces and in society [1, 2],but little is known about how engineers orient themselves toward leadership. A growing body ofliterature on engineering leadership includes: 1) calls for leadership and professional skilldevelopment in faculties of engineering [1-15]; 2) engineering leadership program descriptionswritten by institutional insiders [16-30]; and 3) applications of traditional leadership theory toengineers’ work [31-40
wereallowed to complete an alternative assignment; therefore, participants may be labeled a numbergreater than N. The number of students completing each assignment varied and is reported withthe results in the next section. Students were given course credit for a one-minute paper,workshop attendance, one-week post-workshop reflection (Reflection 1), and end-of-semesterreflection (Reflection 2). To improve the level of metacognitive reflection 30, students wereasked to identify a single course during all responses.Prior to the workshop, students identified an IE course as the focus of their reflections.Additionally, each student wrote a one-minute paper responding to the prompt: “What strategiesdo you find successful that you use to study for this
comparison between the traditionalmethods and the proposed procedures, it was demonstrated that the latter significantly sped up theprocess of creating virtual laboratory implementations.1. IntroductionAlthough the concept of virtual reality (VR) has not been universally defined, VR is used torepresent the real world by a computer-simulated virtual representation of it. 1 Many forms of VRcan be found at present, and they can be divided into four main types: desktop VR, immersive VR,distributed VR and augmented VR. In the environment of VR, multiple users can manipulate andshare the virtual representations of the real world. At the same time, they can also cooperate witheach other. VR systems are inherently safer and less failure prone than their
computer-aideddesign (CAD), computer-aided manufacturing (CAM) and computer-aided engineering (CAE)analysis tools; these tools are ubiquitous in the modern engineering environment 1. As companiesmove towards the model based enterprise (MBE), the ability to fluidly use these tools willbecome more important 2. In the MBE, the model is at the core of improving developmentprocess efficiency. Spatial visualization is a critical skill for interacting and engaging in theseCAx tools. Over two decades ago, Norman3 noted the importance of spatial visualization abilityin computer-based technology.Mohler’s 4 comprehensive review of spatial visualization research shows that for the vastmajority of the history of the field, spatial visualization was examined
follows: 1. Reduce or eliminate homework plagiarism: this is achievable since the final homework grades are not going to assess how well the student attempted the homework but will assess how well they graded it and reflected on their mistakes. This will totally flip the homework from being an assessment tool to an active learning tool. 2. Improve the effectiveness of the homework within the learning process: this is achievable since homework is honestly attempted. In addition, the process of grading the homework requires a good grasp of the solution, which is only possible through outside-the- classroom learning. 3. Develop the student self-reflection skill: this is achievable since students will learn how to
engineering and scientificconcepts, increases interaction with faculty and industry sponsors, and provides opportunities forwork in emerging technology areas. Benefits accrue both to students who pursue a researchcareer and to those who enter applied fields by strengthening their ability to propose innovativesolutions. Over the past nine years, we have sought to improve student research in apredominantly teaching institution. The two primary challenges were: (1) academic - how tointroduce and promote inquiry-based learning given the constraints, and (2) business - how toobtain and sustain funding for student-based research. Further complicating the effort was a lackof experience on the part of most students in identifying an appropriate research
introduce a student mentored first semester freshmenengineering design challenge, called the Holmes Hall Freshmen Challenge, with goals toincrease retention from first to second year while building community and support for first yearfreshmen. The challenge is introduced to freshmen at the college orientation, which draws agreater number of students than the previously mentioned programs. Typically over 100incoming engineering freshmen, participate in the college orientation so the program is offered toover half of the incoming freshmen.Research has shown that combinations of programs for first year freshmen such as learningcommunities, peer and faculty mentoring, introductory courses, and team projects.1 have positiveeffects on retention. Engaging
, do students get a job inindustry right away? Do they go straight to graduate school? Do they consider returning tograduate school if they work in industry? Additional post-graduation tracking is implemented tosupplement the results of the follow-up survey.IntroductionSince its inception, the National Science Foundation (NSF) has supported undergraduateresearch. Initially, support for undergraduates participating in research projects was provided aspart of a research grant award. In 1959, NSF began offering the Undergraduate ResearchParticipation Program, which provided summer support “for undergraduate students to work withfaculty on specially designed research projects.”1 In some cases, support extended into theacademic year. The program
Paper ID #11964Time Management Skills and Student Performance in Online CoursesProf. Susan L. Miertschin, University of Houston (CoT) Susan L. Miertschin, M.Ed., M.S.I.S., is an Associate Professor teaching in the Computer Information Systems program at University of Houston. Her teaching interests are in the areas of (1) information systems applications development and the complementary nature of back-end developer and front-end developer skill sets and (2) managing IT services. Her research interests are program and student as- sessment, the impact of instructional technology on student learning, and the improvement of e
,even with effective learning aids, engineering education struggles to convey both a depth ofinformation as well as the skills needed to apply that knowledge. A gap in recent graduate’s ability to apply their knowledge in an industrial setting has ledto approaches which integrate more project-based learning6. Specifically, graduates lack decision-making skills7 and skills related to working in open and collaborative settings8. Graduates usuallyhave very little experience working in open-ended projects and understanding exactly what sets ofdecisions need to be reached to achieve a final engineering design. The missing skill sets canbroadly be described as: 1) Making effective design decisions to select between alternatives tosatisfy
Maintained Situational phases of interest are hypothesized to beprimarily state-based, while Emerging and Well-Developed Individual phases are considered tobe trait based. Over time, and through repeated activation, states can develop into traits, throughneural reorganization during brain development12. This is one reason why early experiences thatfirst “catch” and then “hold” one’s interest are thought to have such a sustained effect on laterinterest development13, 14. Hidi and Renninger’s model provides empirically driven descriptive characteristics ofstudents in each phase of interest (see Table 1). These descriptive characteristics allow insightinto measurable indicators of interest that go beyond surface level descriptors like
the Introduction to Engineering course was Page 26.472.2designed and implemented. This course is the first required engineering course in the onlineprogram. As a direct equivalent to the on-site version of the course, which is a 2 credit hourcourse with a 1 hour lecture and 3 hour lab offered during each 15-week semester, the course islargely activity based with a large team component. The 7.5 week online course has been offeredtwice during each semester since Fall 2013.It has been considered a best practice for introduction to engineering classes to contain “hands-on”, team based projects6-10. However, incorporating team based projects and
engineering careers were measured byonly one item each. Further, there are other studies that investigated the impact of only a handful of out-of-classactivities. For example, Flowers9 looked at activities, such as student union, athletic andrecreation, and clubs and organization. Similarly, Huang and Chang (2004) focused on activities,such as attended a club meeting, joined a club, and led a club10. In a similar pattern, Webber,Krylow, and Zhang11 investigated community/service projects and interactions with faculty andstaff. To the best of our knowledge, Elkins, Forrester and Noel-Elkins6 included the highestnumber, 14 as shown in Figure 1, of out-of-class activities in a single study to measure students’perceived sense of campus community. The
pre-to-post increase on a 100 point scale occuring inCivil Engineering (+41 points), followed by Inventor Level 2 (+ 35 points), Inventor Level 3(+34 points), VEX Sessions 1 and 2 (+33 points), Digital Electronics – Sequential Logic (+31points), Inventor Level 1 (+29 points), Digital Electronics - Combinational Logic (+27) andRevit (+22 points). Across all sessions, the mean of the pre-assessment cohort scores rangedfrom a low of 35% for Civil Engineering to a high of 63% for Revit. The means for theremaining sessions were 52 to 58%. Of the teachers attending the training, 71% were male and29% were female; 74% were high school teachers and 26% were middle school teachers
platform may be used to create dynamicexams and textbooks in which students can physically interact with exam questions andinstructional examples. This work in progress describes the educational requirements of thesystem and the technical challenges involved in the initial development of the first FLATLABmodule.1 ObjectivesEffective instruction can be Assessment-centered (A), Student-centered (S), or Knowledge-centered (K) 1 , but these models need not be mutually exclusive. In this work in progress, wepropose a visuo-haptic learning platform that integrates these three models into a unified (ASK)paradigm suitable for assessment, study, and teaching.The platform is called FLATLAB, a Focused Learning, Assessment, and Teaching Laboratory
instructionalexpectations and students’ learning outcomes. 1, 2 To address this issue, engineering educatorsand educational researchers have been working together seeking innovative approaches thatengage students in meaningful learning. 3-10 “Flipping classrooms” is one of the emerginginstructional approaches that attempt to replace traditional lectures in an effort to engage studentsin active learning. Educational research shows that when students passively receive contentknowledge from instructors in large lecture halls, meaningful learning seldom happens. On thecontrary, rote learning is the result of such traditional teachings. Learning in classroomsdominated by instructors’ lectures often leads to knowledge retention in the short term, but failsto prepare