innovation faces is the “mainstreaming phase”. Given successwith pilot programs, the institution will have proof that the program is feasible, even successfulat the present size, with the present personnel and with the present cohort structure. If thepresent size however involves uncharacteristically small class sizes and if the present personnelare the most dedicated teachers, then this does not allow the conclusion that the program will besuccessful when fully implemented. Moreover a pilot program normally does not offer “trailingsections”. This means that students who are unsuccessful in a class will leave the pilot programand be caught by the traditional curriculum. This makes for an uncharacteristic student bodystarting in the second term of
podcast. In the future, continued evaluation forfaculty and students will aid in validation of assessment rubrics, an open area of development foreducational podcasts.AcknowledgementsThe authors would like to thank the Strategic Instructional Innovations Program in the Academyfor Excellence in Engineering Education in the Grainger College of Engineering at the Universityof Illinois Urbana Champaign.References[1] G. L. Herman, J. C. Greene, L. D. Hahn, J. P. Mestre, J. H. Tomkin, and M. West, “Changing the Teaching Culture in Introductory STEM Courses at a Large Research University,” Journal of College Science Teaching, vol. 47, no. 6, pp. 32–38, Jul. 2018, doi: 10.2505/4/jcst18_047_06_32.[2] S. Murugesan, “Understanding Web 2.0,” IT Prof
for our description ofthe current field. We contextualize the field of engineering for good to best describe how and ifparticipants’ efforts are connected. For this regional ASEE meeting session, we focus on“engineering for good” based within the United States as a small case study, however, ourresearch team has plans to do more expansive mapping of engineering for good within NorthAmerica and Latin America in the near future.We propose a future community-based mapping of engineering for good programs and initiativesto identify common themes, resource management strategies, and potential partnerships andnetworks. Community-based mapping strategies allow programs’ participants to contribute to themapping of engineering for good and benefit
same department AND when most of the class enrollment occurs in the SPRING semester. • Method 4: This method considers class enrollment from all semesters equally, making it ideal for situations where the majority of students taking the course are NOT 3rd-year students from the same department OR when enrollment numbers are relatively balanced between the fall and spring semesters.Predicted enrollment varies when using different methods. A range of predicted enrollment isprovided for each course for fall 2023 and/or spring 2024 so the program can assess theirteaching capacity and enact or adjust its entrance-to-major requirements. The Data AnalyticsTeam developed the flow chart presented in Figure 9 to
of their technical education is to participate insenior design projects where the connection to the field of study might not be that clear. Thispaper will present such situation, with the case of a portable cloning chamber.A portable cloning chamber is basically a small clean room. This chamber is used in greenhousesfor tissue culture and cloning of plant life. It is an enclosure that should remain sterile whilebeing used to do plant cloning in a greenhouse environment. The chamber remains sterilethrough the use of laminar flow hoods and HEPA filters, thus controlling as well the flow ofclean air through the chamber. Another component that help in keeping the level of sterility isultraviolet lights, which kills existing bacteria thus
human body (the small bar inside the coil) reactsunder external magnetic field. When the intensity of the external magnetic field (scroll bar) isinteractively justified, the corresponding reaction of the cellular-level magnetic element in thehuman body changes accordingly. How the electrical signal induced by the changes is alsodemonstrated.In order to assess the teaching/learning efficacy, we use a Dynamic Assessment Tracking System(DATS), a username/password required system, to obtain feedback from the MITS system. Aninstructor can enroll his/her students into the system. Students can go through each module at aself-paced fashion. Pre-post quiz-test questions have been included in the system and are pulledout by student randomly. The DATS
Paper ID #38783Using Faculty Learning Communities to Create a Sustainable Community ofPractice That Promotes Curricular and Instructional ChangeDr. Megan Morin, ASHLIN Management Group Megan Morin (she/her) graduated from the University of Dayton with a bachelor’s degree in Middle Childhood Education and completed her Master’s and Ph.D. degrees at North Carolina State University in Engineering and Technology Education. Megan’s research interests include assessment, program devel- opment, faculty development, and workforce development. These have developed based on her previous work experiences as the KEEN Program
innovation in specific focus areas, enhance criticalthinking skills, and clearer sense for real-world applications. No preexisting knowledge on saidtopics was required for participation in the activities.During the workshop, learners were also invited to participate in its evaluation research studythrough pre- and post- self-assessment questionnaires. All data collected focused on theworkshop’s content and implementation, as well as relevance to the participants’ current and futurework activities at their respective units and agencies. Findings of this study are currently beingused to guide future iterations of the program and inform innovative approaches to better scale uphands-on workshops both in person and online.Keywords: Scenario-based
Undergraduate Studies, whichoversees a variety of offices as diverse as The Writing Center, a Regional ProfessionalDevelopment Center, the Freshman Engineering Program, and the Teacher Education Program.No separate budget is allocated for the faculty development center, but it is part of the overallbudget of the undergraduate studies office. Funding is limited to one staff person – a full-timecoordinator – and a small budget for events. Directing the Center is simply one more hat that thevice provost for undergraduate studies wears. A volunteer steering committee comprised offaculty and teaching assistants across various disciplines on campus helps direct the effort.Faculty development strategies that emerged in changing cultureAn initial task for this
, bioengineering, computer science &engineering, human centered design & engineering, informatics, public health, radiology. Otheruniversities and colleges around the United States, both large and small, are likely to havesimilar levels of cross-disciplinarity represented in their HE efforts.Limitations of Traditional Engineering EducationLeydens & Lucena [4] make the point that traditional engineering education is too narrowlyfocused and disciplinary to prepare students very well for most humanitarian engineeringendeavors. While this shortcoming could conceivably be overcome in practice if effective multi-disciplinary teamwork were feasible, such teams are unlikely given typical HE projectconstraints. Leydens & Lucena also identify a
more measurable out-come is the number of students who actually applied for a graduate program in biomedical engi-neering. Two students applied – and were admitted - to prestigious graduate programs, and oneadditional student applied and admitted to a graduate program in ECE where she in fact is work-ing on a BME related project. Due to the overwhelming interest, the course was offered againduring Fall 2004, and students’ pre and post-class interest in BME has been assessed via a seriesof surveys, as described below. Out of 14 students who have taken the course during its secondoffering, two have indicated that they are / will be applying to graduating programs in BME andthat they are committed towards a career in BME. These numbers may seem
means that students become more self-critical as theyparticipate directly in their own learning process. The format eliminates "hiddencurriculum" and self-assessment questions.Team, group and class assessment is integrated into every module of our programs(supported by active code spreadsheets, often with embedded 3D objects, video-clips andanimations) that the students can interrogate to understand either the question(s) or theanswers better. Furthermore, in our assessment programs graphs are shown illustratingindividual vs. group / class benchmark assessment results. This is very useful, in particularfor distance learning students, because they feel that they are equal members of the class.(Note, that in all of our cases traditional, as well
reasonable to achieve.Large enrollment academic institutions were more likely to report more emphasis on lifelonglearning, ethics and professionalism, leadership, communication, and creativity, thanundergraduate only programs and private institutions. This current study was focused onprogram tendencies in reaction to The Engineer of 2020 report and did not consider why someprograms changed the emphasis placed on particular attributes. The observation about largeenrollment academic institutions placing more emphasis on attributes other than strong analyticalskills may come as a surprise based on the conclusions about barriers from Lattuca andTerenzini. One possible explanation for this difference is that large enrollment academicinstitutions were
approximately 50% of theanticipated effort that will be required to create our envisioned option in microelectronics.Surprisingly, we have found that the creation of a common introduction for students from alldisciplines to the necessary solid state physics foundation for our program has been the mostdifficult course to design. This is because of the large amount of material that must be covered,the wide diversity of introductory courses in the sponsoring departments, and the limitations oftime in our already compressed undergraduate curriculum. Although progress has been made inthis direction, and a new course is being taught, we anticipate that significant renovation of thisfoundation course is still required Apart from this issue, our program is
Paper ID #29794Effects of Test Anxiety on Engineering Students’ STEM SuccessMr. Justin Charles Major, Purdue University-Main Campus, West Lafayette (College of Engineering) Justin C. Major is a fourth-year Ph.D Candidate and National Science Foundation Graduate Research Fel- low in the Purdue University Engineering Education Program. As an undergraduate student at the Univer- sity of Nevada, Reno (UNR), Justin completed Bachelor’s degrees in both Mechanical Engineering and Secondary Mathematics Education with an informal emphasis in engineering education. Through his in- volvement in the UNR PRiDE Research Lab and
professional development by establishing CPD-BQIP as the first ever international standard for managing quality in CPD programs at theorganizational level. IACEE is making this program available to CPD and CE organizationsfrom all disciplines.CPD organizations can use the tools and processes of the CPD-BQIP to: - Assess their quality with respect to the standard - Benchmark their quality against peer institutions - Share best practices among similar organizations, to allow continuous quality improvement -Data collection and reporting within CPD-BQIP have been automated via a web-basedplatform to enable better and more scalable access to the self-assessment and benchmarkingtools 1. This quality program allows engineers to have
included 1) lectures on various engineering topics such as computationalstructural dynamics, experimental modal analysis, random vibrations, signal processing, etc., 2) adistinguished lecturer series in which prominent guest lecturers gave talks about cutting edgeresearch in structural dynamics, 3) field trips and 4) an eight week project having both ananalytical and an experimental component. In this paper the details of the program and of how itwas assessed will be presented.I. IntroductionOver the last 20 years there has been a 20% decline in the number of engineering degreesgranted while university degrees in general have increased approximately 20%1 . Engineeringdynamics, which encompasses areas such as flight dynamics, vibration isolation
coverage isthat it does not consider the pre- and post-conditions of functions verified by a test suite. Forexample, consider a function that divides two numbers and should throw an exception when thedenominator is zero. If the function fails to check for division by zero, a test suite without a testcase that passes in zero as the denominator could still achieve 100% coverage, even though thetest suite is incomplete. Mutation testing attempts to address this shortcoming. The goal ofmutation testing is to evaluate a test suite’s ability to expose errors in a program. 6 The process ofmutation testing begins with making small modifications to a program’s syntax tree, usually withan automated tool. Each modified version of the syntax tree is saved as
, recognizing the importance of the context and a thorough analysis of it can contributesignificantly to understanding the dynamics of the system. This implies that an educationalintervention applied in one context will not necessarily have the same effect in other contexts.For example, Hawisher and Pemberton relate an instance where an asynchronous learningnetwork was applied in a small course for students to discuss readings outside of class.20 Theinstructors expected students would be excited to discuss the readings and this application wouldresult in many insightful posts by students. Instead, students made very few posts, and thesewere largely summaries of the readings. After some investigation, it was found that the studentswere making posts
course up a level.The teaching pyramid can also be used as part of assessing the teaching center. Are thereprograms that support faculty at each level? Do the programs help faculty or courses move up alevel over time? Are any faculty consistently in the lowest level and how is that beingaddressed? Are there any patterns of courses or classrooms often showing up at the lowest levelsand what support is needed to make changes?In summary, this paper shares a teaching pyramid framework for thinking about teachingimprovements, for planning programming to meet faculty where they are with enable actionablenext steps in moving towards teaching excellence, and for assessing the teaching center.IntroductionThe mission of our teaching center is to improve
pedagogical approach, no experimentally verifiable evidence supports theseclaims, which are instead largely drawn from qualitative assessments performed at completion ofa power systems analysis course. To quantitatively evaluate such claims, we suggest thedevelopment clear objectives for simulation activities, coupled with associated quantifiablemetrics to evaluate learning objectives that are collected in data sets of sufficient size to allow forstatistically verifiable conclusions. Regarding the features of software packages most beneficialto a college course, we find that little is actually required: easy to use with small learning curve,open source, and applicability across various power-sub domains. In particular, we find thatchoosing software
to you personally and professionally? 3) Facilitators share a. Felder and Brent’s definitions of “diverse learners”3 b. NSF data on achievement gap based on race and gender7 c. CRDC data on Access to Math & Science courses based on race, ethnicity, and socioeconomic status8 d. Freirean concept of banking with examples10 4) Participants share case studies in small groups that demonstrate banking, i.e., students are able to produce the right answers but do not understand how they got there. 5) Collectively brainstorm how to mitigate (How can assessments change? How can teaching methods change?) 6) Facilitators share examples of liberative pedagogies (education
skills and focus on their interpersonal and communications abilities when making the hiring decision.” Project Manager of a large Aerospace Company “We tend not to focus that much on their GPA. In fact if they have a GPA above 3.7 we usually sort out those candidates and focus on the other applicants. Our experience has been students with a lower GPA are more likely to have the broader skills that make for better employees.” Program Manager, National Lab “I have been told by several hiring managers and company executives that, in general, engineering students are technically very capable but experience shows they lack the © American Society for Engineering Education, 2016
@sfsu.eduAbstractWith support from the US Department of Education through the Minority Science andEngineering Improvement Program (MSEIP), five community college engineering studentsparticipated in a ten-week summer research internship program at San Francisco State University(SFSU) in summer 2017. A popular seismic damping device, magneto-rheological damper, wasinvestigated by the interns during the internship. By analyzing different numerical models of thedampers, existing large-scale damper tests were studied and the damper response under externalexcitation is reproduced using the computing program software. UQ Lab was then applied toexperimental results to explore the uncertainties inherent to the damper modeling. Theprobabilistic distributions of model
Co-Director of the EPICS Program at Purdue University. She received her B.S. and M.S. in electrical engineering and Ph.D. in engineering education, all from Purdue University. She has served as a lecturer in Purdue’s School of Electrical and Computer Engineering. Dr. Zoltowski’s academic and research interests include human-centered design learning and assessment, service-learning, ethical reasoning development and assessment, leadership, and assistive technology.Prof. Patrice Marie Buzzanell, Purdue University, West Lafayette Patrice M. Buzzanell is a Professor in the Brian Lamb School of Communication and the School of Engineering Education (courtesy) at Purdue University. Editor of three books and author of over
preferences and who have a good sense of the distribution of learningtype have a better opportunity to enable all students to learn more fully.There are a number of interesting and important aspects of learning styles that the paper does notaddress. In particular, we did not examine how a student’s preference might change as a resultof their experiences in an engineering program or an engineering technology program. We alsodid not evaluate the efficacy of several learning style instruments. While the paper providesdiscussion on the implications of what was learned, a measure of the effectiveness of theserecommendations was not a part of the scope of the study. The study does provide a snapshot ofa relatively large population of students and seeks to
ostensiblyreplace those lost in recent years through the outsourcing of textile manufacturing, assembly,machining, and other regional enterprises to cheaper labor markets. We have found, however,that many of the promised areas of industrial expansion projected to employ people trained innanotechnology fields remain small, if they exist at all. Businesses that self-identify as nanotech-related operations (and this does remain a very diffuse term) employ very few technicalpersonnel holding credentials below the doctoral, let alone below the bachelor’s degree, level.We are interested in discovering how the development of two-year nanotraining programs andthe enrollment of un- and underemployed Pennsylvanians in those programs retain their desirableaura in
interest for future work. Similarly, a more team-basedapproach could provide more information about negative teaming experiences. Did allteammates agree on who contributes effectively and who does not? Is there a divide in perceivedcontributions based on the identity of each team member?Understanding the motivations of student behavior within a teaming environment may haveimplications for improving student persistence in engineering, especially amongunderrepresented groups. Students leave engineering programs in large part because they feelalienated from the engineering community.13 A marked difference exists between the classroom,in which subject knowledge alone suffices, and a project environment, in which students mustexhibit the “inter
Paper ID #18720Disengaging or Disappearing? Losing the most Socially Motivated Studentsfrom Engineering?Dr. Angela R. Bielefeldt, University of Colorado, Boulder Angela Bielefeldt is a professor at the University of Colorado Boulder in the Department of Civil, Envi- ronmental, and Architectural Engineering (CEAE). She has served as the ABET assessment coordinator for her department since 2008. Professor Bielefeldt is the faculty director of the Sustainable By Design Residential Academic Program, a living-learning community where interdisciplinary students learn about and practice sustainability. Bielefeldt is also a
Division, has served as an ABET program evaluator and on the AIChE/ABET Education & Accreditation Committee. He has also served as Assessment Coordinator in WPI’s Interdis- ciplinary and Global Studies Division and as Director of WPI’s Washington DC Project Center. He was secretary/treasurer of the new Education Division of AIChE. In 2009 he was awarded the rank of Fellow in the ASEE, and in 2013 was awarded the rank of Fellow in AIChE.Ms. Paula Quinn, Worcester Polytechnic Institute Through her role as Associate Director for the Center for Project-Based Learning at Worcester Polytechnic Institute, Paula Quinn works to improve student learning in higher education by supporting faculty and staff at WPI and at other