12.1487.112. Undergraduate Research Fellowships (original program, 2001)Up to fifteen fellowships are granted each year in both the USC College and in the USCViterbi School of Engineering to support summer and academic year research. The goal is tofamiliarize students with laboratory research and link them with a mentor early on. It ishoped that through the experience of first-hand research at the undergraduate level, thechances will increase that students will choose to pursue a graduate degree in science orengineering. Student recipients of the fellowship are expected to work on their researchproject at least 12 hours per week during the academic semester in which they receive theaward ($2,500). For the summer, the expectation is about 300 hours or
Experiences for Students and Teachers project, Learning through Engineering Design and Practice (2007-2011), a National Science Foundation Award# 0737616 from the Division of Research on Learning in Formal and Informal Settings. This project is aimed at designing, implementing, and systematically studying the impact of a middle-school engineering education program. Page 22.208.1 c American Society for Engineering Education, 2011 Analyzing Subject-Produced Drawings: The use of the Draw-an-Engineer Assessment in ContextIntroductionIn this paper, an example of
of practice; Proc. 2004 ASEE Ann. Conf.6. Dancy, M., J. Smith and C. Henderson (2008). Barriers and promises in stem reform; commissioned paper, presented at NRC Workshop on Evidence on Selected Promising Practices in Undergraduate Science, Technology, Engineering, and Mathematics (STEM) Education; Washington, DC.7. Felder, R. and R. Brent (2010). The national effective teaching institute: assessment of impact and implications for faculty development; J. Eng. Ed. 99:121–134.8. Felder, R., R. Brent and M. Prince (2011). Engineering instructional development: programs, best practices, and recommendations; J. Eng. Ed. 100:89 –122.9. Froyd, J. (2001). Developing a dissemination plan; Proc.31st FIE Conf.10. Froyd, J., C. Henderson, J
opportunities for students to learn how to design in the most authenticcontext possible with many of the constraints of the university setting removed (viz. constraintson time, material resources, and opportunities for multi-disciplinary problems).CEWIL Canada – a national body to promote the use of Work-integrated learning (WIL) ineducational settings – defines work-integrated learning as “a form of curricular experientialeducation that formally integrates a student’s academic studies with quality experiences within aworkplace or practice setting… [involving] an academic institution, a host organization, and astudent” [3]. WIL approaches include: community and industry research and projects,apprenticeships, co-operative education, entrepreneurship
. in Engineering Education, M.S. in Biomedical Engineering, and B.S. in Mechanical Engineering, all from Virginia Tech. Her re- search interests include engaged learning and high impact practices, assessment, and design education. Her teaching experience has primarily been with first-year engineering.Dr. Aditya Johri, George Mason University Aditya Johri is Associate Professor in the department of Information Sciences & Technology. Dr. Johri studies the use of information and communication technologies (ICT) for learning and knowledge shar- ing, with a focus on cognition in informal environments. He also examine the role of ICT in supporting distributed work among globally dispersed workers and in furthering
2006-1889: ENGINEERING EDUCATION: TARGETED LEARNING OUTCOMESOR ACCIDENTAL COMPETENCIES?Joachim Walther, University of Queensland JOACHIM WALTHER graduated from The Darmstadt University of Technology (Germany) with a Bachelor in Mechanical and Process Engineering and a “Diplom” in General Mechanical Engineering. As a PhD student he is now member of the Catalyst Research Centre for Society and Technology at the University of Queensland. His research interests lie in the areas of cognitive and social aspects of engineering design and education.David Radcliffe, University of Queensland DAVID RADCLIFFE is the Thiess Professor of Engineering Education and Professional Development in the School of
control with applications to engine exhaust aftertreatment.Dr. Holly M. Matusovich, Virginia Tech Dr. Matusovich is an Associate Professor in Virginia Tech’s Department of Engineering Education. She has her doctorate in Engineering Education and her strengths include qualitative and mixed methods research study design and implementation. She is/was PI/Co-PI on 10 funded research projects including a CAREER grant. She has won several Virginia Tech awards including a Dean’s Award for Outstanding New Faculty. Her research expertise includes using motivation and related frameworks to study student engagement in learning, recruitment and retention in engineering programs and careers, faculty teaching practices and
research design and assessment practices for othersundertaking curricular revision and development of a student-centered department culture.Research QuestionsOverall, our project seeks to answer the following research questions: 1. How does the deployment of design challenges in core departmental courses, a department-embedded writing-across-the-curriculum initiative, student digital badges, faculty professional development, and other initiatives help support and retain diverse students in our department? 2. What are the impacts of these initiatives and how can they be observed and assessed?Research ContextOur department is currently one of nineteen across the country which has earned NationalScience Foundation funding through
Engineers (ASHRAE).Stewart Ross, Minnesota State University-Mankato Stewart Ross is the founding Director for the Center for Excellence in Teaching and Learning at Minnesota State University. He holds a Master’s Degree and Ph.D. in Music Education from Northwestern University. He is an active presenter at colleges round the country on “Integrated Course Design.” He was Director of Bands at the university for 21 years prior to his appointment in the Center.Brian Weninger, Minnesota State University-Mankato Brian Weninger is a graduating senior in the Mechanical Engineering program at Minnesota State University, Mankato. Following graduation he is pursuing a Master of Science degree at
ActiveExperimentation and Concrete Experience [2]. Also, developing and conducting experimentsare part of the ABET accreditation outcomes, which can most effectively be addressed throughdirect, hands-on experimentation [3]. Furthermore, some research has shown that online-onlycourses can suffer from a lack of application-based learning, particularly for laboratory skills [4].In the Summer term of 2020 at The University of Pittsburgh, Mechanical Measurements 2, asenior-level undergraduate mechanical engineering course focusing on experimental methodsand data analysis, was taught fully online instead of in-person. The goals of this course are toteach students about ABET outcomes 1-3, 5, and 6: experimental planning and design,interpreting data by selecting
challenges exist to theintegration of engineering in traditional science classrooms. For example, Yasar and colleaguesfound that (a) K-12 teachers held stereotypical views of engineers, (b) elementary teachersplaced less value on teaching engineering design than secondary teachers do, and (c) teachers, ingeneral, lacked confidence in the abilities to teach engineering design activities.13,14 Further, thelimited available research indicates that elementary teachers report feeling unprepared to teachengineering practices.15, 16 Below we explore these interrelated challenges to teacherprofessional development in engineering education, as well as some challenges uniquely facedby teachers in rural schools. Misconceptions about engineers and
application, consulting, facilitation and training of such methodologies and business practices as TRIZ, Competitive Opportunity Management, Strategic Planning, Competitive Intelligence, Product / Process Development and Optimization, Business Process Innovation, Design for Manufacture and Assembly, Quality Function Deployment, Technology Research and Organizational Engineering.Donald Reimer, Lawrence Technological University Donald M. Reimer is currently a fulltime senior lecturer and Associate Director of The Lear Entrepreneurial Program in College of Engineering at Lawrence Tech. Mr. Reimer holds a Bachelor of Science degree in Industrial Management from Lawrence Technological University and
ABET Evaluators Team site visit in 2013. EEET received excellent comments for the display materials presented by Dr. Subal Sarkar ABET team chair which was managed to completion by Wajid. He is Digital Integrated Quality Management Systems Expert for Automated Academic Student Outcomes based Assessments Methodology He has taught several courses on electronics, microprocessors, electric circuits, digital electronics and instrumentation. He has conducted several workshops at the IU campus and eslewhere on Outcomes Assessment best practices, OBE, EvalTools R 6 for faculty, E learning with EvalTools R 6 for students, ABET accreditation process. He is a member of SAP Community, ISO 9001, Senior Member IEEE, IEEE
talent. Or, provide sharedshares “to translate some of those best or promising practices over so folks can use that to evaluatewhat they’re doing, make corrections, adjustments and changes and see if we can see some changein the numbers moving forward.” Finally, the varied way shared measures were discussed in theinterviews regarding previous experiences is supported by research that states shared measures areone of the most challenging of the CI conditions because of varied programmatic goals [19].4.1.4 Mutually Reinforcing Activities (MRA)We examined MRAs for mission alignment and coordination of services. Successfully definingthese MRAs means understanding the value proposition for both sides of a partnership. Manyof the members bring a
22.591.4order to make the engineering identity measurement. Further, since persistence in theengineering workforce varies by degree, interviews fit that measure best as well. Finally, open-response interview questions are the best approach for seeking out unknown factors relevant topersistence.To recruit participants we emailed prospective participants a request to complete an onlinesurvey to briefly assess identity and persistence in a quantitative format. We emailed the requestto engineering alumni at three institutions: all engineering alumni at one small, private universityin the Northwest; all engineering alumnae who graduated after 1980 of one small, private collegein the Midwest; and all the engineering alumnae of a large research university in
dedicated staff post to deal with the issues around attrition in general and student failure in particular. A purposefully employed member of staff, working with students two or three days a week could make a significant impact or retention and success; preventing students from reaching the stage where their mental health is impacted or they begin to flounder, and making sure bespoke individual advice is given at a time when it is most needed. 2. Staff Training: Needs to be provided for all colleagues with regards to mental health issues. This is particularly important for personal & subject tutors who have day-to- day contact with students. 3. Academic Support Services: Work best when effectively
and learning innovations into their classroom and assessing their impact. He has regularly published and presented work on a variety of topics including assessment instruments and methodologies, using technology in the classroom, faculty development in instructional design, teaching diversity, and peer coaching. Dr. Utschig completed his PhD in Nuclear Engineering at the University of Wisconsin–Madison.Dr. Valmiki Sooklal, Kennesaw State University Research interests are focused primarily in laser/material interaction, sustainable housing and engineering education.Dr. Margaret L. Lowder, Kennesaw State University M. Loraine Lowder is the Assistant Dean of Accreditation and Assessment at Kennesaw State Univer
the centrality of design in undergraduateengineering programs [1], teaching design courses and embedding design problems in corecourses carries many practical issues for instructors. Researchers suggest that expert designersframe problems more broadly than novices, but authentic context may make a design problemtoo difficult. Further, authentic problems are not instructional designs; they may contain manydetails unrelated to course learning outcomes, and students may focus on aspects of a designproblem that are familiar to them, missing key opportunities to learn both content and designpractices. While highly technical problems seem promising as a way to focus students’ attentionon the content, decontextualized problems provide little
courses, a freshman orientation course, astudent study center; and structured study groups. Significantly, the MEP model originated atCalifornia State University, Northridge (CSUN) and spread nationwide.While these measures have been effective, their impact has reached a diminishing point. Giventhe projected imperative need for increased minority representation in STEM professions, thereis a critical need for new methods to further improve students’ learning and retention. A highlypromising approach is to use an innovative undergraduate education initiative pioneered by theMassachusetts Institute of Technology (MIT) called Conceive-Design-Implement-Operate(CDIO)18,19,20 as the basis to redesign curriculum and to implement active and
methods include the use of content experts, reviews of existinginstruments, and lists of behaviors and descriptors commonly associated with the construct(s) wewish to assess. Unfortunately, however, item creation sometimes becomes overly dependentupon a researcher’s personal attitudes about the construct(s) being tested, or on “borrowing”items from other instruments that may or may not be sound measures of the construct(s) ofinterest. These risks are particularly likely for new researchers in engineering education, whomay have little experience with best practices in social science research.One way to support best practices in the development of new surveys and assessments is to usean instrument blueprint to guide the creation of items, as well
Professionalization of Academic Advising: A Structured Literature Review,” NACADA Journal, vol. 39, no. 1, pp. 89–100, Jul. 2019.[15] X. Zhang, C. Gossett, J. Simpson, and R. Davis, “Advising Students for Success in Higher Education: An All-Out Effort:,” Journal of College Student Retention: Research, Theory & Practice, Jan. 2017.[16] J. M. Allen and C. L. Smith, “Importance of, Responsibility for, and Satisfaction With Academic Advising: A Faculty Perspective,” Journal of College Student Development, vol. 49, no. 5, pp. 397–411, 2008.[17] T. Montag, J. Campo, J. Weissman, A. Walmsley, and A. Snell, “In Their Own Words: Best Practices for Advising Millennial Students about Majors,” NACADA Journal, vol. 32, no. 2, pp. 26–35, Sep. 2012.[18
of the 23rd Frontiers in Education Conference. Institute of Electrical and ElectronicsEngineers (IEEE), Vol. 2.Driskell, J. E., Goodwin, G. F., Salas, E., & O’Shea, P. G. (2006). What makes a good team player?Personality and team effectiveness. Group Dynamics: Theory, Research, and Practice, 10: 249-271.Duderstadt, J. J. (2008). Engineering for a changing world: A roadmap to the future of engineeringpractice, research, and education: University of Michigan. Retrieved from http://milproj.ummu.umich.edu/publications/EngFlex%20report/index.htmDweck, C. S., & Leggett, E. L. (1988). A social-cognitive approach to motivation and personality.Psychological Review, 95, 256-273.Dym, C., Agogino, A., Eris, O., Frey, D., & Leifer, L. (2005
: Teacher Impact on Student Learning Using LC-DLM Implementations in the ClassroomOur team has developed Low-Cost Desktop Learning Modules (LCDLMS) as tools to studytransport phenomena aimed at providing hands-on learning experiences. With an implementationdesign embedded in the community of inquiry framework, we disseminate units to professorsacross the country and train them on how to facilitate teacher presence in the classroom with theLC-DLMs. Professors are briefed on how create a homogenous learning environment forstudents based on best-practices using the LC-DLMs. By collecting student cognitive gain datausing pre/posttests before and after students encounter the LC-DLMs, we aim to isolate thevariable of the professor
themesillustrate how the GEES program influenced low-income masters students’ educationaljourneys and supported their career development.Academic DevelopmentThe transition to graduate studies under the GEES program exposed participants to deeper,more specialized academic content that many found transformative. A common sentimentwas that graduate school allowed them to move from theoretical knowledge to practicalapplications. One participant noted, “In undergrad, it was all about passing exams. Now, Ifeel like I’m creating something real. It’s not just knowledge; it’s hands-on skills.” For thoseinvolved in internships or applied research, these experiences were especially impactful. Oneparticipant engaged in neural engineering research shared, “It’s a
Undergraduate Program grant designed to increase the number of underrepresented minorities who pursue degrees in engineering, mathematics, and science. She serves as the Principal Investigator of an NSF grant designed to study the post baccalaureate decisions of high achieving Black STEM students. She is also a 2005 Scholar at the Carnegie Foundation for the Advancement of Teaching.Dawn Williams, Howard University DAWN G. WILLIAMS is an Assistant Professor and Master's Program Coordinator in the Department of Educational Administration and Policy at Howard University. Dr. Williams serves as a faculty researcher for the Center for Advancement of Engineering Education. She is also the Co
level design situations. By contrast, ETECcurricula prepare its graduates to accept responsibilities closer to the “implement” and even“operate” functions, which require a different focus, different interest, and indeed a differentskill-set from abstractions and complex mathematical manipulations. One valid question then iswhat happens at the graduate level in ETEC and what are the research expectations? Experience shows that the majority of B.S. ETEC graduates need a course dealing withengineering applications of mathematics. Hence, we have found it necessary to require allstudents in the SCT program to take or have an equivalent credit for the course ELET6305
Paper ID #17246Using Concept Maps as a Tool for Assessment and Continuous Improvementof a First-Year CourseDr. Elise Barrella, James Madison University Dr. Elise Barrella is an Assistant Professor of Engineering at James Madison University, who focuses teaching, scholarship, service, and student mentoring on transportation systems, sustainability, and engi- neering design. Dr. Barrella completed her Ph.D. in Civil Engineering at Georgia Tech where she con- ducted research in transportation and sustainability as part of the Infrastructure Research Group (IRG). Dr. Barrella has investigated best practices in engineering
specialist at the Integrated Teaching and Learning Program (ITLL) and the Broadening Opportunity through Leadership and Diversity (BOLD) Center in CU’s College of Engineering and Applied Science. He holds a B.A. in psychology from the Louisiana State University, and an M.S. degree in industrial/organizational psychology and a Ph.D. degree in coun- seling psychology, both from the University of Tennessee. Dr. Knight’s research interests are in the areas of retention, program evaluation and teamwork practices in engineering education. His current duties in- clude assessment, evaluation and research for the ITL Program’s and BOLD Center’s hands-on initiatives.Dr. Jacquelyn F. Sullivan, University of Colorado, Boulder
. We also believe that students learn best through doing. Therefore, we felt aproject-based course in which students participated in a small research project would beappropriate. With this in mind, we have designed a graduate course in artificial intelligencethat is intended to introduce students to some advanced topics in AI and give themfirst-hand experience in many aspects of a research project. As part of the project,students design and evaluate a system, write a proposal and report and present their Page 5.697.1results to the rest of the class.We had several factors in mind when deciding on a topic for the project. We wanted aproject that
supported after the partnership was initiatedAs a practical matter, almost all of the Cohort 3 students represent very difficult cases thatextend over a very long period of time. These cases also span the two support service structures.Since this research focuses on the role of the SAA partnership in student academic outcomes, we Page 26.1049.8will focus our analysis on Cohorts 1 and 2 only.Data for the cohorts are parsed by a number of different factors, including: number of semestersbefore graduation of our first contact with a student, academic major, gender, race, and status aseither a first-year admit or a transfer student to the school of