experiences with their own assessment efforts, in order to limit the complexity of the overall process. 2. Identify a Small Set of Critical Assessment Measures – Ideally, the assessment measures should be a small set of strong indicators, easy to obtain, and consistent over time. Too much data may actually make it harder to analyze results and improve the process. 3. Clearly Define the Faculty Role – This is critical for large programs, since documentation will be prepared by a small group and the evaluator will interview only a few people. However, every faculty member needs to be knowledgeable enough to properly advise students and participate in the continuous improvement process for courses and curricula. 4
Advisory Board, based on experiences with their own assessment efforts, in order to limit the complexity of the overall process. 2. Identify a Small Set of Critical Assessment Measures – Ideally, the assessment measures should be a small set of strong indicators, easy to obtain, and consistent over time. Too much data may actually make it harder to analyze results and improve the process. 3. Clearly Define the Faculty Role – This is critical for large programs, since documentation will be prepared by a small group and the evaluator will interview only a few people. However, every faculty member needs to be knowledgeable enough to properly advise students and participate in the continuous improvement process for
Technology, a post doctoral fellow at Rice University, and a research scientist at DePuy Synthes (companies of Johnson & Johnson). Stephens first joined BME in September 2013 as temporary faculty and is now an assistant professor of instruction and associate director of BME’s undergraduate program. In this role, she will strengthen the department’s connection with the local medical community, both in clinical and industrial settings, in order to foster undergraduate design projects as well as internship and employment opportunities for our students. c American Society for Engineering Education, 2016AN FYE COURSE STRUCTURE FOR COLLABORATIVE LEARNING IN LARGE LECTURE COURSESJenni M
that working in such a program requires a substantial time investment.Faculty members working on this program need to dedicate a large number of working hours tothe program, which may result in time reduction to work on other scholarly activities. A largeamount of the grant is dedicated to travel expenses for faculty, and to pay for students’ stipends.Only a small amount is used to cover summer salaries. The grant only covers one or two weeks(depending on the program year) of summer salary for the PIs. One additional benefit of aprogram like this one is faculty research collaboration. The program director from NDSU istaking his sabbatical year of 2011 at Unicamp collaborating with another program director in aspecific research area in
with driverless vehicles.Dr. Michael Shindler, University of Southern California Michael is a member of the teaching faculty at the Computer Science Department of the University of Southern California. He teaches a variety of classes covering programming, systems, and computer sci- ence theory. c American Society for Engineering Education, 2016 Teaching Large Computer Science ClassesDr. Shahriar Shamsian, University of Southern CaliforniaShahriar is a member of teaching faculty at the Computer Science Department of theUniversity of Southern California where he teaches graduate level courses in the area ofdesign and analysis of algorithms. He has over twenty years of software
insufficient for assessingintercultural competence (Deardorff, 2004; Patterson, 2006). This paper presents a qualitativestudy that documented the learning outcomes of participants in two global programs forengineering students. The research question guiding this study was: What specific knowledge, skills, and attitudes did students gain from participation in their respective global engineering programs? Interviews were conducted with participants during and after the two programs todocument the experiences and learning outcomes of participants. Learning outcomes refer to broad goals that describe what a student should know, think,or be able to do and are an essential component of individual assessments of achievement as wellas
assignments, provide on-line assistance and provide rapid feedback onassignments and exams (Kashy et al. 1998). This on-line approach led to an 18% increase instudent success and a small but significant decrease in the dropout rate. Dutton et al. (2001)compared the performance of students who took a programming class face-to-face vs. studentswho took the class through on-line delivery. The on-line students performed significantly betterin the course but were also found to be less likely to complete the class. Griffioen et al. (1999)discussed the use of a wireless classroom which supports a teaching style that is a mixture oflecture, student-teacher interaction and student problem solving. The authors indicated that thepositive aspects of this
facilitating active learning in large-enrollment courses, severalstudies have reported undergraduate teaching assistants (i.e., peer leaders, learning assistants) asa means for providing students with proximal, guided support in learning activities [25]–[27].Prior studies have also indicated that teaching assistants can effectively moderate small groupteam dynamics [28], [29], improve individual student learning [28], [30], [31] and promotedevelopment of professional dispositions such as critical thinking, problem-solving,collaboration, self-assessment, and effective oral and written communication [27], [28]. The roleof the teaching assistant (TA) in large-enrollment courses naturally becomes outsized in onlineas compared to F2F formats, as the TA
? Page 12.983.4 11. Have you taken any courses related to nanoscience in College? 12. Have you read any scientific facts about nanoscience? Elaborate on the program, such as News, self reading, TV programs 13. Do you a clear idea how nanoscience is related to courses of mechanics you will take at college? 14. Do you think Statics has any relation with nanotechnology? And if yes in what aspects? 15. Do you think will it more beneficial if we extends the Statics to nanosized and multiscale analysis? (Note: Word selection and phraseology were chosen to allow a single assessment tool to be used in both statics and mechanics of materials classes. As this
AC 2011-977: BENEFITS OF SMALL COLLEGE-INDUSTRY PARTNER-SHIPS FOR TRAINING PROGRAM DEVELOPMENTBruce V. Mutter, Bluefield State College Bruce V. Mutter is the founder and CEO of the Center for Applied Research & Technology, Inc. (CART) and teaches project management and engineering economics at Bluefield State College as an Associate Professor in the School of Engineering Technology.Roy Pruett, Bluefield State College Roy E. Pruett is a Registered Professional Engineer and a Professor and Department Head of the Electrical Engineering and Technology Department at Bluefield State College. He is the owner of Pruett Engineering and serves as consultant to several local businesses. Roy received his B. S. degree in
AC 2012-4547: PEER-TO-PEER ASSESSMENT IN LARGE CLASSES: ASTUDY OF SEVERAL TECHNIQUES USED IN DESIGN COURSESDr. Peter M. Ostafichuk, University of British Columbia Peter Ostafichuk is a Senior Instructor and the Associate Head (yeaching) in the Department of Me- chanical Engineering at the University of British Columbia. He has co-developed and coordinates the multi-award winning integrated Mech 2 program for second-year mechanical engineering. Ostafichuk received a B.A.Sc. in engineering physics in 1997 and a Ph.D. in mechanical engineering in 2004, both from the University of British Columbia.Mr. Jim Sibley, University of British ColumbiaDr. H.F. Machiel Van der Loos, University of British Columbia H.F. Machiel Van
Page 25.891.2expounded on the benefits of peer-led team-learning that comes with SAE Baja projects4. Reimer,Lawrence and Abro noted that competitive activities such as Baja could help nurture theentrepreneurial mindset in students5. Hoff and Davis pointed out that the SAE Collegiate DesignSeries can provide valuable hands-on experience for undergraduates6. Novoselich and Dillonexplored the unique dynamics and benefits of creating two student teams instead of one to furthermotivate students to excel, in the context of a large engineering program7. Marlor shared hisexperience serving as a faculty advisor to the SAE Baja team, especially from advising the SAE clubperspective8. In this paper, we will share our experience working with a small pool
need for plethysmogram baseline extraction (Requirement 4) is a consequence of threeissues: (1) the inability to predict ambient light levels in the usage environment, (2) the location-dependent change in the amount of non-perfused tissue as well as tissue with residual but non-pulsatile blood, both of which contribute to constant (“DC”) signal levels, and (3) DC signallevels that are orders of magnitude larger than the desired pulsatile, or “AC” plethysmographicsignals. The system must be able to respond to large variations in DC level while maintainingthe AC sensitivity needed for Requirements 1 and 2.Requirement 5 (small probe size) can be viewed as a matter of convenience for storage andhandling, but it also facilitates measurements from
establishing and sustaining multi-disciplinary research at small and minorityuniversities is through a Multi-disciplinary Research Center (MDRC). The general mission ofthe MDRC is to: Conduct research in the sciences; Develop technologies and evaluationprocedures; Resolve technical and human problems; or Assess the impact of variousconditions on life, materials, systems or the environment. Centers also provide variousresearch bases, which are carried through engineering implementation. The first step ofestablishing a MDRC is to identify a “funding source” with needs in the various areas of localexpertise. The second step is to propose a center foundation or organization upon which tobuild the MDRC infrastructure. Constructing the foundation of an
Paper ID #18299Barriers to Learning in a Large Flipped Biotransport CourseDr. Brian P. Helmke, University of Virginia Brian Helmke is currently Associate Professor of Biomedical Engineering at the University of Virginia. He received the B.S.E. in bioengineering from the University of Pennsylvania, the B.S.Econ. from The Wharton School of the University of Pennsylvania, and the Ph.D. in bioengineering from the University of California, San Diego. Brian’s research interests include cardiovascular physiology, cellular mechanobi- ology, and nanotechnology-based biomaterials. He is also interested in technology-enhanced teaching
Session W1A Assessing Usage, Satisfaction, Effectiveness, and Learning Outcomes for an Engineering Peer Tutoring Program Lisa Lampe and Brian Paljug The University of Virginia, ll4uu@virginia.edu, bjp4qd@virginia.eduAbstract – Peer tutoring programs are an important funding, recruitment, training, and coordination for theservice colleges and universities can utilize in pursuit of program, and tutors are largely responsible for setting andincreased student success. Peer tutoring offers numerous managing their own schedules. Tutoring is focused primarilybenefits to students: individualized, active learning
Paper ID #30124An Autoethnography: Outcomes from Faculty Engagement in CourseDevelopment in a Large First-Year Engineering ProgramDr. Holly M Matusovich, Virginia Tech Dr. Holly M. Matusovich is an Associate Professor in the Department of Engineering Education. She is current the Assistant Department Head for Undergraduate Programs and the former Assistant Department Head for Graduate Programs in Virginia Tech’s Department of Engineering Education. Dr. Matusovich is recognized for her research and practice related to graduate student mentoring. She won the Hokie Supervisor Spotlight Award in 2014, was nominated for a
c American Society for Engineering Education, 2011 Consideration of Happenstance Theory in Major Selection and Migration in a Large Engineering ProgramAbstractApproximately 1,000 second-semester engineering students, all of whom were admitted into afirst-year program as General Engineering students, were surveyed to determine their initialinterest in 14 different available engineering majors, their major choice, certainty of choice, andthe information sources they valued for choosing an engineering major. Data showed thatinitially students were considering over three different majors on average, with women beingmore undecided than men. Approximately 6% of students were initially completely undecidedabout
automotive, aerospace, electronics, financial services, biotech-pharmaceutical, and other industries. c American Society for Engineering Education, 2018 Student Usage of Small Auto-Graded MATLAB® Coding ExercisesAbstractInstructors are increasingly using small auto-graded coding exercises with immediate feedbackto help students learn the MATLAB programming language. Such exercises may requirestudents to write 3 - 10 lines of code. We analyzed student usage of 38 instances of MATLABcoding exercise instances across 1,435 students from seven courses at different universities todetermine how students are using the automated MATLAB assessment tool. When instructorssuggested completing the exercise (not necessarily
environment. Thereare many opportunities for students to participate in team-based work in various courses andcapstone projects to help them practice teamwork skills. However, in many cases, students are ontheir own to make their teams work and these team-based activities do not necessarily allowstudents to develop effective teamwork abilities. At Arizona State University, two cohorts of firstyear engineering students took Introduction to Engineering and Small Group Communicationtogether during Fall 2018 semester with cohered schedule, content, and assignments, around asmall design challenge and a large design project.The impact of this model on team dynamics in the design projects was assessed using the CAREmodel and assessment tool developed by the
removing some of the obstacles for students Page 25.507.3struggling with the English language.Methodology – Service EnvironmentCourse lectures take place in a large 1750 seat theater that has been retrofitted to serve part-timeas a lecture hall (see Figure 1). There are two small and one large projection screens at the frontof the room along with an elevated stage and podium (see Figure 2).Figure 1 –View of two thirds of the studied course student populationFigure 2 – Reference view of the stage and projection screens, (not lecture capture view)The podium mounted teaching station consists of a Personal Computer (PC) and monitor running
moreupper-class CoE students. Upper-class students will also feel more confident in their abilitieswhen they are able to learn effective techniques from their fellow mentors.The utilization of the AWE surveys will continue. More time and thought will be devoted toacquiring baseline data. If mentees are contacted by their mentors prior to the start of classes,assessing the mentees’ pre-sense of community will be difficult. Ultimately, the assessment andcontinual evaluation of the large-scale peer mentoring programs is paramount to its futuresuccess. Page 11.887.14AcknowledgementsThe authors wish to acknowledge support of the mentoring programs from
confident.ConclusionLarge first year engineering classes are a way of life at RMIT University and hopefully arehere to stay, because if not, the viability of programs is under threat. Meeting the challengespresented by such large classes is therefore an ongoing reality. Qualitative survey dataindicates that the seven elements above are critical factors in responding successfully to thischallenge, but the practical focus and nature of programs and the availability of quasiinteractive videos continue to emerge as the most influential and critical success factors.References1. Schreyer Institute for Teaching Excellence “Large Classes versus Small: Does It Make a Difference?”2. Islam R. “Reflections on Large Class Teaching “– Charles Sturt University.3. Light, P
AC 2008-529: QUANTIFYING QUALITY: A MEASUREMENT ATTEMPT FORRETURN ON INVESTMENT FOR A SMALL ELECTRONICS ENGINEERINGTECHNOLOGY PROGRAMFrank Bartonek, Cessna Aircraft CompanyBruce Dallman, Pittsburg State UniversityJames Lookadoo, Pittsburg State University Page 13.1015.1© American Society for Engineering Education, 2008AbstractThis paper offers observations from a faculty student team internship with a NASALaboratory and an aircraft company in the summer of 2007. Both organizations havealumni employed from the team’s home program.The onsite observations allowed analysis of educational effectiveness for Pittsburg StateUniversity’s Electronics Engineering Technology (EET) program
Paper ID #25223Measuring Fidelity of Implementation in a Large-Scale Research Study (RTP)Dr. Cathy P. Lachapelle, Museum of Science, Boston Cathy Lachapelle leads the EiE team responsible for assessment and evaluation of our curricula. This includes the design and field-testing of assessment instruments and research on how children use EiE materials. Cathy is particularly interested in how collaborative interaction and scaffolded experiences with disciplinary practices help children learn science, math, and engineering. Her work on other STEM education research projects includes the national Women’s Experiences in College
Paper ID #9805Collaborative cloud-based documents for real-time bi-directional feedback inlarge lecture activitiesProf. Brian M Frank P.Eng., Queen’s University Brian Frank is an associate professor in Electrical and Computer Engineering, where he has taught courses in electronics and wireless systems. He is the DuPont Canada Chair in Engineering Education Research and Development, and the Director of Program Development in the Faculty of Engineering and Applied Science where he works on engineering curriculum development, program assessment, and developing educational technology.Mr. Behnam Behinaein Hamgini, Department of
opportunity for mentors to learn from the peer leaders and veteranmentors can in turn lead new mentors. The purpose of this study is to assess the relative successof the transition from a single facilitator model to a peer leader model. The following questionsare addressed: 1. How does the peer leader model compare to the single facilitator model with regard to program structure? 2. How does the peer leader model compare to the single facilitator model with regard to feedback?Program StructureThere are 5 different segments of the peer mentoring program developed at a large publicuniversity in Eastern United States. These programs aim to provide the opportunity for all first-year College of Engineering students to be matched with a
latter half of the semester, a large demo in thefront of the classroom (Fig. 2a) was used to introduce the concept of simple and compound gearratios. This was followed by hands-on activities in the lab (Fig. 2b) where students worked inpairs to analyze gear trains and design gear trains to achieve specified gear ratios. Additionally,students completed homework problems on gears individually as part of the Excel homework(the memo and attachments corresponding to this lab are available in Appendix 3). (a) (b) Figure 2. Interactive learning methods used to teach simple and compound gear trains, (a) Large classroom demo, (b) Small hands-on lab experiment.The interactive tools used in
AC 2009-1027: THE DEVELOPMENT AND IMPLEMENTATION OF ANANOTECHNOLOGY MODULE INTO A LARGE, FRESHMAN ENGINEERINGCOURSEVinod Lohani, Virginia Tech Vinod K Lohani is an associate professor in the Engineering Education Department and an adjunct faculty in the Civil and Environmental Engineering at Virginia Tech. He received a PhD in civil engineering from Virginia Tech in 1995. His research interests are in the areas of knowledge modeling, water and energy sustainability, engineering learning modules for freshmen, and international collaboration. He leads a major curriculum reform project, funded under the department-level reform program of the NSF, at Virginia Tech. A spiral curriculum approach
Paper ID #6447Web-based audience response system for quality feedback in first year engi-neeringDr. Brian M Frank, Queen’s University Brian Frank is an associate professor in Electrical and Computer Engineering, where he has taught courses in electronics and wireless systems. He is the DuPont Canada Chair in Engineering Education Research and Development, and the Director of Program Development in the Faculty of Engineering and Applied Science where he works on engineering curriculum development, program assessment, and developing educational technology. He is a co-founder of the Canadian Engineering Education Association