complete, and theevaluation now includes assessing the validity of the output as measured by a set of target valuesobtained from a reference model. The optimization problem is formulated as a linear BinaryInteger Program (BIP), and the instructional emphasis in this phase centers on theimplementation of Solver to solve the BIP formulation as described by the course textbook7. It isat this time the rationale for the recommended layout becomes more evident to students.The objective of A4 is to incorporate additional financial concepts into the simulation.Requirements include adding the ability to borrow capital using a prescribed debt ratio andincorporating the effects of interest expense, depreciation expense, and taxes by way of anIncome Statement
by NSF, Air Force and DoD. She have several publications regarding to the research and educational projects.Dr. James D Kiper, Miami University James Kiper is Chair and Professor of the Department of Computer Science and Software Engineering at Miami University. He teaches a variety of courses across the CS and SE curricula. His research is in the areas of software testing, software risk assessment, design rationale, and computer science and software engineering teaching and learning.Dr. Gursimran Singh Walia, North Dakota State University Gursimran S. Walia is an associate professor of Computer Science at North Dakota State University. His main research interests include empirical software engineering, software
three main themes: local drug delivery, endothelial dysfunction in diabetes, and cooperative DNA diagnostics. Recent awards include the Jeanette Wilkins Award for the best basic science paper at the Musculoskeletal Infection Society. Dr. Caplan teaches several classes including Biotransport Phenomena, Biomedical Product Design and Development II (alpha prototyping of a blood glucose meter), and co-teaches Biomedical Capstone De- sign. Dr. Caplan also conducts educational research to assess the effectiveness of interactive learning strategies in large classes (˜150 students). c American Society for Engineering Education, 2017Promoting career reflection among freshman biomedical engineering
-based system to assign and gradehomework problems. Web-based systems present many advantages. For instances, they saveinstructor’s time on grading, randomized values on problems may discourage cheating, studentscan use links to the related electronic text before solving a problem, etc. However, web-basedsystems are focused on the answer only. Students become careless of their work and even trytrial and error method just to get the correct answer. In this study, the author presents the assessment of hand-written homework layout used inengineering physics course. A web-based system was also used along with the hand-writtenhomework layout. The purpose was to reinforce students’ critical thinking skills by focusing onthe process of how to
identifiedseven major domains in the process of teaching: 1) Pedagogy, 2) Research, 3) Lecturing, 4)Leading discussions, 5) Mentoring, 6) Curricular and co-curricular integration, and 7)Assessment. He recommended a style of team teaching in which faculty form teams ofspecialists based on these domains of process knowledge. Aspects of the model are put intopractice to varying extents when multiple faculty, staff and students are involved in thedevelopment and delivery of a course. For example, a learning management system specialistmay work with an instructor to set up a tool to meet a specific pedagogical or assessment need.Increasingly today’s flipped classrooms are involving process experts in course development,more commonly as a service orthogonal to
time allocation was from the Information Technology industry.This was closely followed by the Medical Sciences and lastly the Engineering industry. Theinterviews seemed to reveal that there was a higher expectation for work experience or on the jobtraining in the engineering field when compared to the other sectors.The results and discussion above, show the weightage of cost that students place on training andalso the level of investment as made by companies in their employees. This study and theapproach to training as assessed shows that it is a critical component of the student’s success intheir chosen STEM fields. It was also interesting to note that a majority of the training cost asinvested by the companies/professionals was for the
as a National Academy of Education / Spencer Postdoctoral Fellow. Dr. Svihla studies learning in authentic, real world conditions; this includes a two- strand research program focused on (1) authentic assessment, often aided by interactive technology, and (2) design learning, in which she studies engineers designing devices, scientists designing investigations, teachers designing learning experiences and students designing to learn.Dr. Woong Lim, University of New MexicoMs. Elizabeth Ellen Esterly, University of New MexicoIrene A Lee, MITProf. Melanie E Moses, Department of Computer Science, University of New MexicoPaige Prescott, University of New Mexico Paige Prescott has been a classroom science teacher, a curriculum
efforts have focused on the development and mechanical evaluation of medical and rehabilitation devices, particularly orthopaedic, neurosurgical, and pediatric devices. She teaches courses in design, biomechanics, and mechanics at University of Delaware and is heavily involved in K12 engineering edu- cation efforts at the local, state, and national levels.Dr. Amy Trauth, University of Delaware Amy Trauth, Ph.D., is the Senior Associate Director of Science Education at the University of Delaware’s Center for Educational Leadership, Teaching, and Learning. In her role, Amy works collaboratively with K-12 science and engineering teachers to develop and implement standards-based curricula and assessments. She also provides
Paper ID #18746Engineering Leadership in a Chinese Industrial Context: An Exploration us-ing the Four Capabilities ModelDr. Jiabin Zhu, Shanghai Jiao Tong University Jiabin Zhu is an Associate Professor at the Graduate School of Education at Shanghai Jiao Tong Uni- versity. Her primary research interests relate to the assessment of teaching and learning in engineering, cognitive development of graduate and undergraduate students, and global engineering. She received her Ph.D. from the School of Engineering Education, Purdue University in 2013.Miss Hu Yu, Shanghai Jiao Tong University Yu Hu is a graduate student at the
adapting technologies to the relevant situation and with that taking into account the underlying social and cultural structures. Possibly, this result can be affiliated to the fact that the lecturers of the EWB Challenge at RWTH Aachen University and the experts of EWB Germany put a strong focus on imparting knowledge on technology assessment: Using technologies in developing countries always requires a high level of respect for the ecological as well as social limits. Against the backdrop of the needed awareness of sustainability, knowledge on technology assessment is important. This result shows the suitability of the EWB Challenge to impart knowledge on technology assessment and sustainability. The numbers of statement 10 “I
and/orreductive, such as “trying to define a sketch” in SolidWorks, or having trouble printing out theirprojects—according to one student, “possibly the worst problem to have.”Assessment of the KEEN Engineering SkillsetAlong with the “3C’s” of the entrepreneurial mindset, the KEEN framework includes aninventory of engineering skills within the broad categories of defining opportunities, designingsolutions, and achieving impact. For the KEEN Engineering Skillset, we were able to use asimpler method, with students rating the extent to which they had used different skills at the endof each week. Students were asked to rate the extent of their work (high, medium, low, or none)on a given skill during the week; faculty independently rated students
summer. For thefinal year of the BEAT project in 2017 summer instead of conducting the activities on UMEScampus the project team plans to hold a workshop during the 2017 conference and exposition ofthe American Society for Engineering Education in Columbus in the month of June.Although the focus of this document is around the biodiesel related activities on UMES campusthat have been undertaken in concert with the NBBEP and BEAT projects, for ready reference anoverview of all of the BEAT/NBBEP activities (see APPENDIX B for the 2016 BEAT schedule),assessment and impact are outlined below: Biodiesel: In the biodiesel activity, participants
from another university). In order to assess participants’ initial abilities andperspectives on art, contextual competence, and reflective thinking, we first asked the students tocomplete a pre-survey and spend 15-minutes experiencing a large mural drawing while writing ashort, open-ended essay about what they observed. The students then attended an introductorytalk about VTS in a museum classroom and participated in facilitated group discussions ofseveral images shown on screen via a projector. After lunch, the students were divided into twogroups for guided walks through some of the museum’s galleries to practice facilitating VTSdiscussions themselves, choosing from among paintings we had pre-selected. To assess theimpact of the VTS workshop
leading the discussions the pace of the class was slow and no more than 2-3problems were covered per class. There is more to do on this regard to cover more problemswithout cutting much the natural flow of the students’ discussion.From instructor perspective the flipped classroom format was beneficial to all students. The classwas more dynamic and the students were more engaged, particularly the online participants. Thewhole process seemed to have elevated students’ confidence in their abilities. The studentsengaged in actual debate of the step-by-step solutions to the problems, which is an evidence offunctioning critical thinking.The topics where flipped classroom was applied have been always assessed on the 2nd test of thesemester. The student
. Incorrectanswers to this part and the number of instances include: wrong or missing units (4), no work(6), the wrong approach overall (8), and a calculation error (7). The students with no work andthe wrong approach overall are 32% of the students. Part B involved more analysis, and itappears the students did reasonably well. Incorrect answers to this part and the number ofinstances include: an inconsistent interpretation of the results in Part A (3), an argument basedon mass balance/a relatively small velocity as opposed to small kinetic energy terms (6), no work(7), and the wrong direction overall (2). The majority of the students were able to make thecorrect assessment in Part B that the results in Part A were negligibly small compared to theremaining
understanding ofthe processes and the network coordination between brain regions during thinking.Understanding the regions of activation in the brain required for conceptualizing a system, forexample, is important because we can begin to assess how learning enhances the temporalresponse (how fast we think) and how learning reduces the cognitive load (the energy required).This physiological data is also less susceptible to errors such as self-reporting. In essence, thatwhich was once an un-examinable black box can now be examined and in multiple conditions.Adopting Cognitive Neuroscience Techniques to Study Design CognitionMaking sense of brain-behavior relations is a search to understand the functional architectures ofcognitive systems (Coltheart, 2001
-cultural dimensions of pre-college engineering education. She received her M.A. and Ph.D. in Educational Studies from Emory University.Dr. Meltem Alemdar, Georgia Institute of Technology Dr. Meltem Alemdar is Associate Director and Senior Research Scientist at Georgia Tech’s Center for Education Integrating Science, Mathematics, and Computing (CEISMC). Dr. Alemdar has experience evaluating programs that fall under the umbrella of educational evaluation, including K-12 educational curricula, K-12 STEM programs after-school programs, and comprehensive school reform initiatives. Across these evaluations, she has used a variety of evaluation methods, ranging from a multi-level evalua- tion plan designed to assess program
, meaning that it is sometimes true, and sometimes not true,depending on the applicable context. Thus, context is another important factor to consider whenevaluating students’ reflective learning performance or ability.In the present study, we assess the extent to which students use reflective judgment when writingabout their experiences in a semester long introductory design course. Based on our theoreticalmodels, we hypothesized that students whose reflections acknowledge the role of context inlearning will additionally show a higher intellectual level of thinking over the course of thesemester, as well as earn a higher grade on successive assignments. Therefore, we wanted todetermine whether students’ ability to reflect on their experiences in
VRusers completed the task faster and with more correct answers than the desktop users. Althoughthis study did not directly assess the pedagogical efficiency of the immersive experience, itsupports the notion that VR is potentially useful in saving drilling class time by helping thestudents resolve spatially complicated problems quicker. Another study [12] explored wellplacement through VR where the users created vertical and free-form well paths in theimmersive environment. The application analyzed the connectivity of the new wellbore to thereservoir and estimated the amount of recovery associated to the new well. The results weredisplayed in the 3D environment as well as in a table summarizing the calculated values. Thestudy reported that the
. In the future,one might imagine successful modules being repurposed as part of continuing education in IoTfor practicing engineers. This would require modifications to the modules’ structure, deliveryand assessment, which are beyond the scope of the current effort. For now, with the goal ofrapid development and implementation, the focus is on existing courses with traditionalundergraduates.Teams will continue development after the workshop, facilitated by the UW System learningmanagement system, Canvas. This would make the modules broadly accessible across the UWSystem and serve as a first step toward broader dissemination of IoT-related topics inengineering curriculum.It should be noted that the term “IoT” as used here refers to the broader
provided an opportunity to ask questions and makeobservations related to how faculty delivered the material and how students interacted with thecontent. Notes were taken during all of the interviews and course observations.Study LimitationsThe primary limitation of the study is that it is not fully representative of every relevant practicecurrently in use within the department of study. The course materials from the Spring 2017ABET Review represent a snapshot in time and only included course components that could becaptured in paper form. Because of that partial view, it is important to note that the results of thestudy are not intended to be a complete assessment. They are intended to provide insight anddirection, not to identify faults or
/document review. Instruments developed and validated by similar NSF-funded projects(i.e., Assessing Women and Men in Engineering) will be used or modified for use in this project.Qualitative data will be coded and analyzed with the assistance of NVivo. Data will betriangulated to provide a more rigorous assessment of project impact. Summative evaluationwill assess implementation quality and impact and report progress to the National ScienceFoundation. Formative evaluation will track quantitative measurements (numbers andbackgrounds of participants, etc.) and also capture attitudinal data pre- and post-training, as wellas after CyberAmbassadors participants have returned to their roles as CI Professionals. Forexample, participants will be asked
faculty/staff team should meet to assess the program, recommend adjustments andprepare plans and initiate activities to start the next round of projects.ConclusionSan Antonio College has been a pioneer in establishing undergraduate research at communitycolleges. Its success has spawned other community colleges in our district to initiate in-houseresearch programs of their own. The San Antonio College undergraduate research program hasgrown tremendously since its humble beginnings as a summer-only program to a year-roundactivity; i.e., from 3 projects and 10 students in 2010 to 8 projects and 38 students in 2018. Thisexperiential learning program has provided substantial benefits to our STEM students to includeimproved retention, enhanced research
) strongly influenced by the solution manual, and an increased willingnessof students to submit (honest) work with an incorrect answer. Thus it seems that the newhomework policy is having an impact on the way in which students interact with solutionmanuals, guiding them towards more self-reliance as they attempt homework problems. In thiscontext, at least, the policy has been successful.Conclusions and recommendationsA new homework policy was developed in an attempt to shift students’ approach from a results-based mindset to a process-based mindset through the use of a metacognitive follow-up exerciseafter each homework set was returned to them. Although direct assessment of the impact of thischange on student learning outcomes was not possible
socioeconomicdata.Table 1. Program participants Category N % Graduation Year 2019 (Rising seniors) 27 42% 2020 (Rising Juniors) 33 52% 2021 (Rising Sophomores) 4 6% Program Site Chicago 11 17% Research Triangle Park 19 30% Silicon Valley 34 53%4.2 MeasuresEvaluation processes included a pre- and post-program survey and focus groups which werestratified by city-based cohorts. Survey assessment was administered prior to students leaving forthe summer, and the post-program survey was administered on a rolling basis, as Scholarscompleted their
: • Theory — Identify the required balances to be developed; • Data and Assumptions — Test different assumptions and data sources; • Solution procedure — Identify the solution path and understand the impact of approximations; and, • Extension — Understand the impact of assumptions on solution robustness.Surveys and Results In the past two years, students were invited to fill out a survey to assess their problemsolving confidence level, perceptions, and abilities at intervals during their studies. At this point,data has been collected for two successive cohorts. Cohort 1 was assessed at the beginning andend of Course B (winter term of their second year of study), and again at the beginning of the fallterm in their 3rd year of study
observations.Study LimitationsThe primary limitation of the study is that it is not fully representative of every relevant practicecurrently in use within the department of study. The course materials from the Spring 2017ABET Review represent a snapshot in time and only included course components that could becaptured in paper form. Because of that partial view, it is important to note that the results of thestudy are not intended to be a complete assessment. They are intended to provide insight anddirection, not to identify faults or weaknesses.A potential source of error within the study is associated with the strategy of classifying a highlydiverse collection of course materials according to theme. While every effort was made to defineprecise themes and
team forupdates and feedback (see “Project Assessment” section below for more details on thisfeedback). Goal 2, Primary High School Partner: This goal was accomplished during the first year of the project, as the Bossier Parish School for Technology & Innovative Learning (BPSTIL) was added
verse Breakdown Effects Junction Breakdown, pp. 100The assessment results collected in this study are based on instructor observations and a surveycompleted by students at the end of the semester. Instructor observations are summarized in theDiscussion section following each exploration. These observations are based on input from thelaboratory teaching assistants and course instructors. The survey (Appendix A) results are basedon the responses of over 100 students. The survey was conducted at the end-of-semester andsought student impressions of their self-learning after having completed or observed all of thenon-idealities laboratory explorations.Experiment 1: Thermal Effects on PN junction diode MOSFETConducted in groups of 2 or 3
Paper ID #29669Collaboration Patterns and Design Practices in First-Year Project-BasedEngineeringHa Nguyen, University of California-Irvine Ha Nguyen is a PhD student studying systems thinking and collaborative learning in STEM.Dr. Liang Li Wu, University of California, Irvine Liang (Lily) Wu is the Director of Academic Innovation, Programs at the Henry Samueli School of En- gineering, University of California, Irvine. Dr. Wu is responsible for implementing, overseeing and assessing the first-year engineering program and international programs to enhance and support the engi- neering education at the School of