Community College and is interested in providing students with authentic practice of science experiences through their courses and independent study.Mr. Eric Davishahl, Whatcom Community College Eric Davishahl is faculty and engineering program coordinator at Whatcom Community College. His teaching and research interests include developing, implementing and assessing active learning instruc- tional strategies and auto-graded online homework. Eric has been a member of ASEE since 2001. He currently serves as chair of the Pacific Northwest Section and was the recipient of the 2008 Section Out- standing Teaching Award.Dr. Michael Jason Babcock, Whatcom Community College Jason Babcock is the Director of the Learning
doctoral student at the University of Texas at Austin studying STEM Education. His research interests include engineering integration in secondary science classes, science assessment devel- opment, and educational program evaluation.Dr. Stephanie Rivale, University of Texas, Austin Stephanie Rivale is a research faculty member at the Center for STEM Education at the University of Texas. She received her Ph.D. in STEM Education at the University of Texas. She received her B.S. in Chemical Engineering at the University of Rochester and her M.S. in Chemical Engineering at the University of Colorado. She has collaborated on engineering education research with both the VaNTH Engineering Research Center, UTeachEngineering
course inethics may not be a possibility due to credit limitations.While many EAC resources are available on the Web, Illinois Institute of Technology’s Centerfor the Study of Ethics in the Professions (ethics.iit.edu), an engineering ethics center, offers anenormous collection of materials, including examples of courses, class assignments, teachingmethodology, and assessment. Due to NSF-sponsored workshops led by Michael Davis andVivian Weil from 1991-2003, the center has collected many tried-and-true classroom materials,as workshop participants were required to submit final reports detailing their efforts on theirhome campuses. All are adaptable to various classes and are offered at no cost. Proceedings of the 2019 Conference
sponsor, DPM student, or faculty/staff member.2. PRP draft is submitted to the DPM instructor, MSD Program or Director for initial review.3. PRP draft goes to review team and is assessed against acceptance criteria 1-4. It is at this stage that if the RIT champion is also identified if the project is not going to be rejected. Possible outcomes are (a) rejection, (b) postponement, or (c) identification of RIT champion to complete PRP.4. If the RIT champion is not the project Guide, a project Guide is assigned.5. PRP reviewed by project Guide. The Guide is responsible for securing reviewers from other departments and gaining approval from those reviews. The Guide is also responsible for any final changes needed before releasing the PRP to
was used to validate the experience level students possess prior to the experimental lecture. The pre-test consisted of ten questions which were a combination of multiple choices andfill-in-the-blank questions. It assessed both basic concept knowledge and calculation ability.The pre-test was administrated one week before the lecture. Two post-tests were conducted toassess the effect Adobe Connect had on students in the short term and long term. As a short termassessment, the first post-test was completed right after the class. At the end of each lecture, aninstructor used the last ten minutes for students to answer the first post-test. As a long termassessment, the second post-test was done in WebCT Vista three days later. Students
behind them are not just applicable to the factory – the student can applythese same problem solving techniques in other classes and in their life. Students learn Paretoanalysis, scatter plots, cause and effect diagrams, root cause analysis, and other methods. Theyalso learn one of the core values of lean that problems should be made evident so that they canbe seen and then addressed.We can also apply these problem-solving principles to the classroom itself. The first way is toimplement measures that allow students to quickly identify when problems are occurring in theirown learning. This is done through frequent assessments of student learning. For example, shortquizzes can be given weekly. Furthermore, during lectures, students should be
who Page 13.1043.3have experienced the industry first hand will be needed to teach these subjects. Only a personwho has worked on numerous real world engineering projects is best qualified to assess whethera student capstone design project is realistic and relevant.Since practitioners are needed, then there needs to be a career track where their services can bevalued and rewarded. In most universities, practitioners are included on the faculty as adjunctprofessors. They are paid less and are not viewed as full-fledged partners. Most do not have thePh.D. credential that accords equal status. For many schools this is a business
usedthroughout the entire sequence for feedback and assessment. This rubric is provided to thestudents before they begin writing the first draft. This rubric is currently being examined forreliability and validity.After students receive feedback on their first draft from the teaching assistant, they makerevisions to their procedure and submit a second draft that enters a calibrated double-blind peerreview. Each team receives three or four critiques. Teams then utilize these critiques to finalizetheir procedure which is submitted for grading to the teaching assistant. Page 13.689.4In the five years since MEAs were first implemented in the first-year
security.John K. Estell, Ohio Northern University John K. Estell is Chair of the Electrical & Computer Engineering and Computer Science Department, and Professor of Computer Engineering and Computer Science, at Ohio Northern University. He received his doctorate from the University of Illinois at Urbana-Champaign. His areas of research include simplifying the outcomes assessment process, user interface design, and the pedagogical aspects of writing computer games. Dr. Estell is a Senior Member of IEEE, and a member of ACM, ASEE, Tau Beta Pi, Eta Kappa Nu, and Upsilon Pi Epsilon.Brenda Hart, University of Louisville Professor Hart is the director of student affairs in the School of Engineering
either STEM subjects or other subjects forsummary description. Job or Career Aspirations. Students were asked “What would you like to do for a job or acareer once you are finished with school?” These open-ended responses were recoded to STEMjobs/careers or other jobs/careers for summary description.Interactions with micro-system Teacher Support. The Teacher Attitudes subscale from the Modified Fennema-ShermanAttitudes Scale 12 was used to assess perceived relational support from teachers in two differentdomains: science and math. Sample science items include “I would talk to my science teacherabout a career that uses science” and “It’s hard to get math teachers to respect me” (reversed;alpha = .86). Math items have identical
flexiblemanipulator systems can in general be divided into two categories: open-loop and closed-loopcontrol. For the reported facility, the controller design involves both the classical open-loop andclosed-loop controllers for flexible manipulator systems 24, 25. Within the open-loop control low-pass filter band-stop filter and Gaussian shaped torque,inputs are considered. Initially, to identify the characteristic parameters of the system, theflexible manipulator is excited with a single-switch bang-bang torque input and its vibrationbehavior is monitored 24. Then the filters are used for pre-processing the input so that no energyis fed into the system at the natural frequencies. Performances of the techniques are assessed interms of level of
, no systematic study has been done of the underlying approachof the program’s pedagogy or the effectiveness of integrating STS and aesthetics insights into thestudents’ design process. Based on interviews with faculty and students and a review ofcompiled student feedback, this paper provides a first-round description of the program’sunderlying approach and evaluates the program’s success in creating a new, liberal engineeringdesign education. It also assesses institutional challenges and how they impact the PDIprogram’s character and effectiveness. Ultimately, the paper shows how the design studio can bestructured to be an ideal setting for genuinely liberal engineering education, because, under theright conditions, it allows integration of
of the students, a moreflexible, yet focused, course structure was selected. The early calculus topics of limits andderivatives were eliminated and the course was re-focused on helping students make up severedeficits in algebra and trigonometry. The online mathematics review courseware, ALEKS, isused. Students register and pay for a six-week “Preparation for Calculus” course, take the initialassessment, and work through the on-line lessons. ALEKS breaks pre-calculus topics into 239concepts and uses artificial intelligence algorithms to assess which of these concepts the studenthas mastered and which are lacking. The student takes a series of online tutorials, with practiceproblems, quizzes and re-assessments, to complete all 239 concepts
improvedcomputer science students’ access to software3.The current technologies that provide such accessare either custom-built for a single or a relatively small set of applications4.There are several used in the market to remotely access software including but not limited toopen source software like X Windows and VNC, and proprietary packages such as MicrosoftTerminal Services (Remote Desktop) and Citrix MetaFrame3.In this study the Citrix software was used to deliver applications to users remotely through theWeb5. This package was installed on the engineering sever by February 25, 2007. Three softwareapplications were available on Citrix to access by faculty and students: AutoCAD 2006, Matlab,and MultiSim. In order to assess the use of the Citrix, two
Rozeboom, 1966 9 ); but “in the toughsense of the word, ‘measurement’ is assessment of quantity” (Rozeboom, p. 224 9 ). Therefore,the only difference between the absolute and the quantitative proportional sizes is what Delgadoet al. 12 , describe as the process when the unit used is another object (for the case of thequantitative proportional) rather than a conventional measurement unit (for the case of theabsolute size).Proportional Reasoning: the Cognitive Process behind the Proportional Conceptions ofSize and ScaleAccording to Lesh, Post, and Behr, (1988) 14 , proportional reasoning is a form of mathematicalreasoning involving multiple comparisons, inference and prediction, as well as both qualitativeand quantitative methods of thought. In
Environmental Engineeringstudents, so that other departments might learn from our experiences and tap into a growing Page 13.589.2demand for a BIM knowledge base in our graduates and in the AEC industry at large. The paperwill discuss the way in which the curriculum was developed, why various curriculum elementswere included, how the students were motivated, how the students’ development andperformance in the course were assessed, what the instructors learned from students andpractitioners while teaching the course, and how this learning is being used to improve the courseas it moves forward.Course InceptionThe rapidly increasing importance of Building
training at Harvard Medical School. Contact Information: Rutgers University, 599 Taylor Road, Room 315, Piscataway NJ 08854; telephone: 732-445-4500 x6315; fax 732-445-3753; e-mail: moghe@rci.rutgers.edu Page 13.440.2© American Society for Engineering Education, 2008 Discourse-Based Communities of Practice: Developing Graduate Students’ Abilities to Communicate their Research Across Disparate Disciplines and Experience LevelsIntroduction: We present the design, development, and on-going assessment of a novel forumto foster research communication skills among doctoral graduate
Researchable Questions," The Review of Higher Education, 28[1] 23-48 (2004).6 V.B. Mansilla, "Assessing Student Work at Disciplinary Crossroads," Change 37[1] 19 (2005).7 V.B. Mansilla and E.D. Duraising, "Targeted Assessment of Students' Interdisciplinary Work: An Empirically Grounded Framework Proposed," Journal of Higher Education, 78[2] 215-23 (2007).8 M. Borrego and L. Newswander, "Characteristics of Successful Cross-Disciplinary Engineering Education Collaborations," Journal of Engineering Education, 97[2] 123-34 (2007).9 S.G. Cohen and D.E. Bailey, "What Makes Teams Works: Group Effectiveness Research from the Shop Floor to the Executive Suite," Journal of Management, 23[3] 239-290 (1997).10 D. Makin, S
concentrates of a description of each of the three exercises – blender, hairdryer, and computer power supply, as well as some assessment of the results to date. This is anongoing project to develop the exercises and the assessment instruments, so the data collectedthus far is being used not only to determine learning gains among the students but also asfeedback to the authors to assist in making improvements to the test procedures and worksheets.Our ultimate goal is to develop interest in this approach among engineering faculty and todemonstrate how they can be incorporated into both lecture based and laboratory based courses.Final dissemination will be through a project website and possibly through workshops andseminars
, 7One such e-learning program available in STEM education is ALEKS (Assessment andLEarning in Knowledge Spaces).8 This web-based program provides a systematically sequenced Page 14.711.2and managed, self-paced environment, designed to help students improve Math skills. InALEKS, a variety of different mathematics levels, or courses can be selected, and within eachcourse, the curriculum can be customized through selecting/deselecting certain topics. Thisresearch is focused on the Precalculus curriculum, and consisted of 181 topics in all. Studentsmust successfully work through the topics in order to master the content. At any given time, avariety
Page 14.381.6volunteering outside of class to assess the impact of curricular service-learning. Whatwas found was for all academic outcomes, as well as some affective ones, participating in service as part of a course has a positive effect over and above generic community service (outside of class).Among the academic outcomes enhanced through the service-learning were college gradepoint average, critical thinking skills and writing skills. The impact of the course-basedservice-learning was significantly more than for students who participated in genericcommunity service. Interestingly, they found that service-learning participants hadslightly lower standardized test scores than non-participants when entering college.In
at a higher education institution, this certainly holds true as teachers interact with students via learning activities such as courses, tutorials, assessment, and other feedback mechanisms. Beyond the teacher/student interaction, students communicate with other students or academic staff on various occasions and in a number of different ways. b) Non-Linear Interaction The interaction of elements of complex systems is generally non-linear. This means that small influences can have large effects in the system and conversely, that large influences can have small effects. In the educational context, this can be verified for example by looking at the process of formal teaching: Generally the same
such as Tufts University and Lehigh University created a “professorof practice” or similar position to bring engineering practice to the classrooms. The success ofthis approach has not yet been assessed formally.In this paper, the focus is on having faculty members acquire the engineering practice throughsummer or part time employment with an engineering firm so that real world engineeringexperience can be shared with the faculty member’s students. The authors recognize this is not anew concept. However, through their personal experience, they discovered that the value of thisapproach is not obvious and “publish or perish” is not the only factor influencing theeffectiveness of this concept. In the following sections, the authors will share
technology. In one of the female teacher’sclasses, students felt that engineering and technology were less difficult after having taken theclass, in contrast to one of the male teacher’s classes where students felt the topics were moredifficult. Again, this might suggest that different classroom experiences result in differentperceptions. We recommend that teachers perform an assessment of each of their activities to Page 14.207.13determine if there might be a connection between the activity and the perception of the studentsregarding the difficulty of engineering and technology. The use of the current instrument togauge perception of difficulty
building an apparatus andcomparing it with traditional practices. Once this has developed enough, remote laboratorieswill garner economical and collaborative opportunities between institutions. Future works willprovide and assessment and evaluation of remote laboratories based of the templates presented in Page 14.29.10this paper and address the pedagogical differences between experiments in more thorough detail.References 1. Tapscott, D., Williams, A. D. (2006) “Wikinomics: How Mass Collaboration Changes Everything”. Portfolio. pp 10 16. ISBN 1591841380 2. Harkin, J., Callaghan, M., McGinnity, T., Maguire, L. (2005): “Intelligent
consistency of .65. A sum knowledge Page 14.961.6score was created.Recruitment for Engineering. A single question developed by the Assessing Women inEngineering (AWE) Project 200517 asked “Has anyone talked with you about becomingan engineer?” Students responded yes (1) or no (0).Covariates:Engineering Track. Students on a successful track for an undergraduate engineeringmajor should be taking advanced science courses6 including pre-calculus/calculus,chemistry, and physics courses. Because we did not have access to students’ schoolrecords, we asked students to report all current and previous high school science andmath classes. For this measure we created
membersto assess potential projects at their own pace as a team and individually. Attending the projectopen-house with the faculty coaches helped the students get to know the coaches and also howeach coach viewed their particular project.During the project open house, each coach was positioned within a large room and was given asign with their project name written in large type. This activity could be considered as a 'ProjectFair', much like a 'job fair'. The students walked around during this one-hour session, meeting withonly those coaches they wished to spend time with. Coaches used their own approaches to attractstudents and to describe the skills that he or she felt would be needed for the project. Team timeduring class hours was left to the
at 47 researchuniversities all over the United States several years ago, as discussed in [12] and [13]. In thesurvey, 17 percent felt that their institutions should emphasize research, 34 percent said teaching,and 50 percent said the two duties should be balanced. Similarly, this comprehensive teachingand research program has followed a tight integration of teaching and research that has led to apedagogical model that focuses on student retention, high-quality student learning, assessment,hands-on experiments, exportable teaching modules, and refinement. In addition, by followingthe spirit of the classic Boyer Report, it is very important that no gap exists between teaching andresearch [14]. In addition, faculty members who creatively
steadyincremental gains in their group-related skills as they work on their projects.E. Giving Students Information When They Need ItAlthough we provided information we thought the students needed in the beginning-of-classlectures, we made those need assessments unilaterally. The result was that the students Page 2.405.9sometimes seemed bored, disengaged, and unresponsive during these sessions. And they oftendidn't connect the information from the presentations to problems their teams were experiencing.It seemed that, unless a lecture was about something the students were desperately grapplingwith, the information presented wasn't meaningful to them
Middle East gulf region. Students weresurveyed to assess their attitudes about which activities constitute academic dishonesty, thefrequency with which they engage in these activities, their motivation for cheating, and thepenalties that students typically face when caught cheating. Statistical methods were utilized toinvestigate variation in attitudes and behavior among various student sub-groups, such as bygender, nationality, English language proficiency, and academic standing. Results indicate thatapproximately three-fourths of students engage in some activity that would generally beclassified as academic dishonesty, but many of these students believe that these activities (suchas copying other students’ homework assignments) are not