. Barrows, H., & Tamblyn, R. (1980). Problem-based learning: An approach to medical education. New York,NY: Springer.29. Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and PsychologicalMeasurement, 20, 141-151.30. Cattell, (1966)31. Muthén, L. K., & Muthén, B. O. (2007). Mplus User’s Guide (5th ed). Los Angeles, Muthén, & Muthén32. Bentler, P.M. (1990). Comparative fit indices in structural models. Psychological Bulletin,107, 238-246.33. Browne, M.W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In L.G. Grimm & P.R. Yarnold(Eds.), Testing Structural Equation Models. Newbury Park, CA: Sage.34. Cohen, J. (1977). Statistical power for the behavioral sciences. New York
assess how well the competitive aspect of the projectmotivated the students. They all indicated that they would have been happy to simply “put up a Page 23.737.10good effort”, but were extremely pleased to win two events. This was especially evident whenthe team finished the “cycling with ball” event over one and a half minutes faster than any of theother teams that had already completed the event. The rest of the competitors began clapping andcheering for our team and congratulated them on their outstanding result.This positive experience and friendly competitive atmosphere seemed to have the desired resultas all four students expressed to us an
. Received several awards for the actuation in education including INTERTECH, ICECE and IGIP. Director of a project in Digital preservation of heritage and member of projects in Automation. Member of a program for enhancement of computer literacy at the University of Buenos AiresProf. Maria Feldgen, University of Buenos Aires Maria Feldgen is an associate professor and researcher in computer science at the University of Buenos Aires (School of Engineering). Her research interests include Engineering Education, Distributed Sys- tems, and Ubiquitous Computing. Her main research interests are around classroom assessment tech- niques for design capstone courses, heritage digital libraries and sensor networks. She was the
. Balderrama, A. Should your boss be your Facebook friend? - CNN.com. CNN at 11. Krippendorf, K. Content analysis: An introduction to its methodology. (Sage, 2003).12. Neuendorf, K. The content analysis guidebook. (Sage Publications, 2002).13. Hatmaker, T. 3 easy tools for crafting a great-looking personal webpage. Read/Write Web at 14. Henry, A. How can I sell my skills beyond a boring resume? Lifehacker at 15. Stemler, S. An overview of content analysis. Practical Assessment, Research & Evaluation 7, http:––PAREonline.net–getvn.asp?v=7&n=1716. cross-tab Online Reputation in a Connected World. microsoft.com (2009).at 17. Enge, E., Spencer, S., Fishkin, R. & Stricchiola, J. The art of SEO: Mastering search engine
lab instructions and aDVDROM, which is self-contained with OSSIE and other dependent software. Students wererequired to complete the four OSSIE labs during the semester, with help from experiencedgraduate students, and to complete a survey to provide feedback by the end of the semester.Assessment and Student Feedback Page 23.822.8We employed the Student Assessment of Learning Gains (SALG) facility athttp://www.salgsite.org to collect feedback from students, which is an on-line survey thatmeasures student perceptions of their learning gains due to any components within a course. Wemodified the standard template provided at SALG to match the
instruction involves a range of approaches,including making lectures more interactive, having students work in groups, and incorporatingauthentic problems and activities.” 5 And in terms of assessment, the study claims: “Much ofthe engineering education research on professional skill-related process …largely describes “howto”—for example, how to build and use teams—rather than studying what works for developingstudents’ professional skills and how those strategies work.” 5 In terms of supporting theimportance of dialogue with more experienced mentors, the study states that students need helpidentifying the critical characteristics of problems in order to establish mental connections that
. Page 23.844.1 c American Society for Engineering Education, 2013 Development of a CCLI Course on PV Engineering AbstractA Course Curriculum Laboratory Improvement (CCLI) Type I NSF proposal under the title”Development of Novel Learning Materials for Green Energy Education Centered around a PVTest Station” was awarded in August, 2010 to develop exemplary learning materials andlaboratory modules for PV engineering at the undergraduate/graduate levels. The paper discussesa preliminary version of course modules developed as of now, the laboratory facilities andexperimental projects, and assessment of its impact on students.Keywords: Photovoltaic, Renewable Energy
basedon the Challenger space shuttle disaster. Another video, currently using the PI’s as actors, showshow the “dirty desk” scenario can affect ethical behavior. Once the topic and script is finalized,trained student actors will be used in the videos for a polish product. The videos contained topicsthat are accessible to a wide level of audiences. However, the topics are geared towardsadvanced undergraduate and graduate student levels. The students are assessed by surveying Page 23.864.6their understanding of the relationship of moral psychology to ethical behavior using terms thatdoes not require even a passing knowledge of moral psychology
project to teachers, show a preview of theapp, and gain valuable feedback in order to improve CorePal development. A pre-workshopsurvey was conducted to assess the impact of state standards on teaching activities, the use ofapps in the classroom, and the use of technology in the classroom. Over 89% of teachersindicated that their curriculum was at least in part driven by standards, with over two-thirds ofteachers indicating that their curriculum is very strongly driven by state standards. Over 30% ofworkshop attendants use apps in the classroom to supplement instruction, and 100% use digitaltechnology of some kind (laptop and desktop computers, SMART boards, web applications, etc).After reviewing the project goals and having hands-on time to
can actively engage students and promote improved learning andmotivation for students [4]. The central message of CTL is “learning by doing causes us to makeconnections that yield meaning, and when we see meaning, we acquire and retain knowledge and Page 23.335.2skills.” [5] Johnson believes that the CTL approach is a “holistic system” and consists of variouscomponents which include: (1) making meaningful connections, (2) doing significant work, (3)collaborating and self-regulated learning, (4) critical and creative thinking, (5) nurturing theindividual, (6) reaching high standards, and (7) using authentic assessment. When these parts
of undergraduate engineering education. That is the purpose of thestudy reported here. As a start, the broad outlines of the first-quarter physics and mathcourse as adopted at my University are listed with a subsequent more detailedexamination of the curriculum that attempts to assess how math concepts are used inphysics education. The hope is that it serves as a basis for interaction between physicsand math educators in the future. As I have argued above, the use of math in physics,and subsequently in engineering, is what should drive the interaction among thedisciplines. The analysis that follows the curricula overviews is motivated by this view.2. Overview of curriculumTo be as specific as possible, my study is restricted to the textbooks
testquestions are shown in Table 2. The table includes student test score averages per question forthe two tests on a scale from 1 to 5, and the difference (in percent) between the two. Eightstudents participated in the assessment process. Table 2. Obstacle Detection/Avoidance and Sensors Test Num. Question Pre-test Post-test diff (%) 1 What is an ultrasonic sensor? 3.33 4 16.75 2 How does an ultrasonic sensor work? 2.67 4 33.25 3 Describe at least two different obstacle avoidance 1.33 4.75 72.00 algorithms. 4 How does the Kinect’s 3D depth
the connection definitions can beeasily seen on the 10 second animation.The assessment of the results is based on their interpretation and effects on the final design.Students discuss their designs and findings in their written reports. The analysis step can takevery long time because of the computer processing time. So, the design criteria should be set in away that it should be easy for the students to verify their design by the simulation. For example,for the FEA analysis, the design should withstand 10,000 lb horizontal force; this force is half ofthe actual requirement for this design. So, if the students don’t make a very critical mistake theycan easily verify their design and fulfill the stress requirements after two or three
action primarily within their departments: speaking upat a meeting, inviting a female colleague to collaborate on research, talking about teaching andobserving each other in the classroom, or serving on a committee so their female colleague doesnot have to. It might also mean making sure that coffee runs, lunches, or after-work socialevents are open and inclusive. Although any faculty man can become an ally, the focus forparticipation is on tenure track faculty members who will become tenured in the next five yearsas a means to develop a pool of Allies from which future Advocates can be selected. In an effort to evaluate the impact and assess the effectiveness of the Advocates/Alliesprogram at our institution, we have collected both
program at Worcester Polytechnic Institute is to engage younger generations in theSTEM fields and make the engineering study seem more accessible and exciting, meanwhile stillgarnering leadership, presentation, and project management skills of their own.10 This paper presents an overview of the Engineering Ambassador Network. Connectedwith this overview paper are four more specific papers that provide analysis about specificaspects of the Network. One such paper focuses on the outreach done by EngineeringAmbassadors,14 a second paper focuses on the leadership development of the EngineeringAmbassadors,15 a third focuses on the establishment of Engineering Ambassador programs atthree additional schools,16 and the fourth assesses the
examinations, fraud resulting from people other than enrolledstudents sitting for exams, accreditation and certification, the counting of MOOC’stoward engineering degree program fulfillment at universities that do not originate thecourses, and a reported gulf between student enrollment in MOOC’s and the number whoactually successfully complete them.ABET is beginning discussions about the accreditation of on-line degree programs.Specifically, if it is possible for students to earn a B.S. degree in engineering on-line,possibly without ever setting foot on a campus, how can the EAC of ABET assess suchprograms to ensure that the basic and program criteria are met that would warrantaccreditation? And, how can on-line students obtain the laboratory
professors taught classes at the 300-level, which accounts for 1252 entries.Project DesignSince this project involves examining student success and attendance the first requirement was todefine what was meant by ‘student success’. For lack of any better assessment method it wasdetermined that a student’s grade in a course would be the determining factor of their success inthat course. Also tracking a student’s attendance had to be agreed upon. Although it cangenerally be assumed that students who miss class for circumstances beyond their control mightbe impacted by the absence to a lesser or greater extent than those that simply choose not toattend, the decision was made to simply track attendance and not attempt to discern the reasonfor any
of the BMES-idea national student design competition and writes a quarterly column on senior design for IEEE-Pulse magazine. In 2012 he received the National Society of Professional Engineers Engineering Education Excellence Award for linking professional practice to engineering education.David B. Rank, Root Cause Consortium, LLC David has more than 28 years in the workforce with 19 of those working for Harley-Davidson, Inc.. The majority of his Harley-Davidson R experience was as their Softail R Platform Director, developing and caring for that family of motorcycles with his management team. Over the years, he has participated in international assembly bench-marking studies, manufacturing capability assessments and
Proceedings of World Haptics Conference. 2005, pp. 537–538.[6] K. Bowen and M. K. O’Malley, “Adaptation of haptic interfaces for a Labview-based system dynamics course,” in Proceedings of 14th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2006, pp. 147–152.[7] D. I. Grow, L. N. Verner, and A. M. Okamura, “Educational haptics,” in Proceedings of AAAI 2007 Spring Symposia-Robots and Robot Venues: Resources for AI Education, 2007.[8] J. L. Gorlewicz and R. J. Webster III, “A Formal Assessment of the Laboratories in Teaching System Dynamics.” in Proceedings of American Society of Engineering Education Annual Conference, 2012.[9] “Haptic Paddles at EduHaptics.org,” 2012. [Online]. Available: http
they can be connected to industrial processes. There is also a slight hint about how probabilities might be assessed in practice. The problem focuses on sample spaces, composite events, joint events, partitions, conditional probability, Bayes' theorem, and a tool for organizing probability information. The first and second tasks require recognition that the sample space can be partitioned in two ways and that four of the box's sub compartments satisfy the definition of the event whose probability is requested. This is meant to reinforce the concept of a union of events.The third task and fourth tasks require recognition that a probability conditioned on information is required. The
successfully onits crash program. We wish to express our gratitude to them all.ReferencesBurton, M. and Kagan, C., (2004), “Marginalization”, Chapter 13 in Prilleltensky, I. and Nelson, G., CommunityPsychology: In pursuit of wellness and liberation, Macmillan/Palgrave, London, UK, 596 pp.Crawford, Wesley G., (2003), Construction Surveying and Layout, 3rd ed., Creative Construction Publishing, Inc.,IN, USA, 734 pp.Glaser, Robert and Baxter, Gail P., (2000), Assessing Active Knowledge – Center for Study of Evaluation TechnicalReport 516, National Center for Research on Evaluation, University of California, Los Angeles, CA, USA, 14 pp.Leonard, P., (1984), Personality and ideology: Towards a materialist understanding of the individual, Macmillan,London
annual conference for promoting CAAT activities, Summer Academies for introducing advanced automotive technologies to K-12 students, University Bound program for encouraging community colleges students transferring to four year universities, and workshops and seminars for exposing the technologies and related impacts to key groups, including first responders, industry professionals, and the general public. 7. Coordinating educational and industry partners to promote internship and undergraduate research opportunities of students as gateways to full time employment. 8. Conducting core competence survey and market assessment, including industry expectations of educational institutions, technical worker demand, and demand in
ultimately use the equipment beingdesigned. As the design phase of collaborative projects nears completion, the Kinesiologystudents focus their attention on the long-term use of the equipment. In order to ensure that theprojects are ultimately used and enjoyed safely, Kinesiology students also help to writeguidelines and instructions for playing with and using the equipment produced. Evaluation of Kinesiology/Engineering CollaborationTo date, most of our assessment has involved the engineering teams, including their motivation,learning design, and overall attitudes towards the adapted physical activity projects4,10-12.Recently we have held a number of different focus groups, which have primarily included theengineering students. Additionally
course concepts due tolack of understanding of domain vocabulary. One strategy for addressing this problem is tomake design of vocabulary part of overall course design. This requires explicitly identifying thevocabulary that students need to learn in the course of their studies. Proper specification ofvocabulary is likely to be particularly important in introductory courses that form the foundationof engineering disciplines.Identifying discipline-specific words helps instructors establish clear expectations of requiredvocabulary knowledge, while building robust technical communication skills. If students have aclear understanding of required vocabulary, then instructors will be able to develop higherquality teaching and assessment material. As a
verbal component of working memory effecting the generation and maintenance of visual-mental images? • What is the difference between the cognitive activity involved in processing the less complex geometric configurations and the more complex geometric configurations?References1. Lane, D. and N. Seery, Freehand sketching as a catalyst for developing concept driven competencies. Engineering Design Graphics Journal, 2011. 75(1): p. 3-25.2. Delahunty, T., N. Seery, and R. Lynch, An Evaluation of the Assessment of Graphical Education at Junior Cycle in the Irish System. Design and Technology Education: An International Journal, 2012. 17(2): p. 9-20.3. Finke, R.A., T.B. Ward, and S.M. Smith, Creative
networks (WMSNs). Wireless medical sensor networks havedelivered significant improvements to the healthcare industry in the 21st century6. Wirelessmedical sensors are arranged on a patient’s body and can be used to closely monitor thephysiological condition of patients. These medical sensors monitor the patient’s vital body signs(e.g temperature, heart rate, blood pressure, oxygen saturation, etc.) and transmit the data in atimely fashion to some remote location without human intervention. A doctor can interpret thesesensor readings to assess a patient’s condition. Thus patients could benefit from continuouslong-term monitoring after being discharged from the hospital6. WMSNs will continue to play acentral role in the future of modern healthcare
Paper ID #6570Applying a knowledge-generation epistemological approach to computer sci-ence and software engineering educationDr. Stephen T Frezza, Gannon University Dr. Stephen T. Frezza, C.S.D.P. is a Professor of Software Engineering at Gannon University in Erie, PA (USA). Dr. Frezza is a Certified Software Development Professional (CSDP), and at Gannon pursues research in Program Assessment, Software Engineering Pedagogy, and Engineering Philosopy. His teach- ing interests include Software Process, Requirements, Design, Testing and Quality Assurance. He is the past chair of the Computer and Information Science Department
Educational Delivery Tools Using Multimedia and Distance Learning.” Proceedings, 1999 ASEE Annual Conference, June 1999. 5. Lewis, V.W. “Experiences with a Virtual Laboratory Class in Materials Testing for Civil Engineering Technology.” Proceedings, 2000 ASEE Annual Conference, June 2000, St. Louis, MO. 6. Considine, C.L. and Lewis, V.W. “Assessment Methods for Virtual Laboratories in Civil Engin eering Technology.” Proceedings, 2001 ASEE Annual conference, June 2001, Albuquerque, NM. 7. Lohmann, J.R. and Sharp, G.P. “The Evolution of an Electronic-only Course Delivery Method in Engineering Economy for On-campus Students.” Proceedings, 2002 ASEE Annual Conference, June 2002, Montreal. 8. Johnson, B.P
they feel they did very well on theengineering economy portion of the examination and that it contributed to their passing the FEexamination. As a result of that success rate, Badiru was selected by the engineering studentcouncil to serve as the FE review instructor for engineering economy, which he did every yearfrom 1989 until he moved to the University of Tennessee in 2000. He received several teachingawards, which he credits to the assessment of his engineering economy lectures. The awardsinclude: Regents’ Award for Superior Teaching (University of Oklahoma, 1995); School ofIndustrial Engineering Outstanding Professor of the Year Award (University of Oklahoma, 1993and 1995); Lectureship Award, College of Engineering (University of Oklahoma
students and providing its graduates jobs. McCleary also points out thattechnology creates an opaque, verses transparent, filter in the process of doing, and thus effectslearning.19 In this sense, the amount of technological assistance within this level is always goingto be skewed toward understanding why and assessment and not toward efficient industryproduction.OrganizationallyAcademia operates primarily at the individual level for pedagogical reasons related to studentassessment. A compartmentalized approach to design also does not allow students to see orunderstand the entire process. The academic institution itself obviously operates in a highlycompartmentalized manner. The issue here is on how we organize students to do design in aclassroom