U.S. patents/patent applications and is the recipient of two NSF grants ($800K) and several internal and in-kind grants ($30M). He has received numerous awards and honors including the Schreyer Institute for Teaching Excellence Award, Industrial Engineering and Operations Management Young Researcher Award, School of Engineering Distinguished Award for Excellence in Research, Council of Fellows Faculty Research Award, IBM Vice President Award for Innovation Excel- lence, IBM Lean Recognition Award, Graduate Student Award for Excellence in Research, and Outstand- ing Academic Achievement in Graduate Studies. He was recently named 40 Under 40: Class of 2019 by the Erie Reader. His projects and achievements have been
test anxiety, by gender, race/ethnicity, socioeconomic status, and first- generation status? 2. How are students’ GPAs in science, engineering, mathematics, and STEM overall related to test anxiety? 3. To what extent do gender, race/ethnicity, socioeconomic status, and first-generation status mediate the relationship between GPA and test anxiety?Research MethodsThis study is part of a larger grant project (DUE-1626287, DUE-1626185, and DUE-1626148),which examines how non-cognitive and affective (NCA) factors affect students’ success inengineering. In this research paper, we define student success as academic success through aproxy of grade point average (GPA).PopulationAs part of the larger project, we surveyed a total of n
of writing attitudes (as was the focus of theoriginal, wider research project) and asked participants to upload the personal statement andresearch statement from their winning application package. After cleaning the data forincomplete survey responses and for those who did not upload both documents, a final totalof N=50 participants were represented in the final data sets and corpuses of documents. Thedemographic distribution of the participants is indicated in the table below. Of the 50participants, N= 10 were undergraduates at the time of winning the NSF GRFP, N=24 werefirst-year graduate students, and N=15 were second year graduate students. Table 2: Demographic Information Racial/Ethnic Demographics
days, I try to put reasonable effort into winning academic accolades while remembering the manyaspects that can make them arbitrary and biased. I try to think about it pragmatically-- it is certainlyuseful, functionally, to me to win an award. It will help me have social capital to move on to the nextmore impactful project. I do not need to put the measure of my self worth in the academic accolade. Allacademic accolades come down to the decisions of a set of people, who may be very knowledgeable, butare still fallible. I try to remind myself that I do my work for bigger reasons than my own self-promotion.Any academic accolades are tools that help me do that work, not an end in themselves. 4. Collective Findings: Wisdom from the
engineering students. The survey askedstudents to self identify their gender. This was used to identify how these factors may influenceranking of rapport supportive behaviors. Additionally, this survey asked students both theiracademic program (the discipline within engineering) and their degree progression, in order toidentify how these factors impact such rankings.Based on findings in the literature, and given the scope of this project, the authors anticipate thatthe most effective way to broaden students’ retention in engineering education is throughestablishing rapport between engineering professors and their students. Using the results of thisstudy, we can design interventions aimed at faculty member’s ability to establish positiverapport, which
and Doctorate in Engineering Education from Purdue University. c American Society for Engineering Education, 2020 Student Perception of Mathematical Modeling Before and After Completing a Two Joint Robot Computer Simulation Task (RTP)Abstract Engineers frequently utilize computer simulation as part of their design processes tomodel and understand the behavior of complex systems. Simulation is also an important tool fordeveloping students’ understanding of modeling and strengthening their intuition for problemsolving in complex domains. This project uses a two-joint robot arm problem and accompanyingcomputer simulation to demonstrate to AP BC Calculus
students enroll in engineering with littleunderstanding of engineering in general [4], much less the specific fields and subfields therein.Further, engineering students graduate having limited understanding of career options orcommitment to engineering careers [5].Within BME, work has been done to employ instructional strategies to improve introductorystudents’ perceptions of the skills necessary for the engineering profession, specifically withregards to technical skills, professional skills, and project management skills [6]. Similarly, workhas been done to improve introductory BME students’ awareness of broad classifications ofavailable BME job functions (e.g., research, technical sales) [7]. A gap in the BME retention andcareer-decision
research interest are student learning and persistence in higher education. Her current projects explore student motivation and success in STEM disciplines at the undergraduate and professional education levels.Mr. Harrison Douglas Lawson, Michigan State University Graduate Student at Michigan State University pursuing a M.S. in Chemical Engineering. After graduat- ing, I plan to pursue doctoral studies at Carnegie Mellon University. My research focuses are biology and education. After graduating I aspire to continue working with education programs and join a university as teaching faculty.Dr. Mark Urban-Lurain, Michigan State University Mark Urban-Lurain is retired as an Associate Professor and Associate Director for
good options for thisintroductory course. On the other hand, if students do not practice training neural networks, theirknowledge on ML would be rather shallow. Therefore, Excel was selected as the tool for simpleML projects that can demonstrate the training procedures.A simple example is temperature conversion, although it is very easy in conventionalcalculations: y = w x + b , where x and y are the temperatures in Celsius and Fahrenheit, and thetwo constants are w = 1.8 and b = 32. With the approach of ML, a training data set withtemperature pairs in Celsius and Fahrenheit (x, y) are provided, and the weights (w, b) in theneural network will be optimized. A more general neural network is shown in Fig. 3, in thisspecial case only one input
to Datum A, which is Feature 8.Figure 12 shows the output of the GD&T tool. By following these instructions, GD&Tspecifications are put onto the part, which has been demonstrated in Figure 10. Figure 12. The output of the GD&T toolThe course assessmentThe students are given the software to practice GD&T. Figure 13 shows an example of a studentproject. In this project, the students were required to practice GD&T on a cylindrical part withthree fins. The 3D model of the part is displayed in Figure 13 (a). After using the GD&T tool, theGD&T specifications are placed in Figure 13 (b). (a) (b
information on radio propagation.ExperimentalOur experimental apparatus is the same as used in a previous project [4] and consists of aKenwood model TS-590 short-wave receiver, and an end-fed, 100-foot wire antenna strungaround the woods of Old Lyme, Connecticut. The antenna was L-shaped, and oriented in boththe north-south and east-west directions. Data collection was done in October, December andJanuary.Initial benchmark using 2.5 MHz NIST broadcasts: As a benchmark, and to observe the timeinterval when D-layer absorption occurs, we first measured the signal-strength of NIST’s WWVtime/frequency beacons at 2.5 MHZ over a 24-hour period for both October and Decembertimes. For October, sunrise and sunset were 6 A.M. and 5 P.M. respectively and for
controller that simulates white caneinteractions, enabling people with visual impairments to navigate a virtual environment by transferring theircane skills into the virtual world. Canetroller focuses on three types of feedback: physical resistance,vibrotactile feedback; and spatial 3D auditory feedback simulating. The inter-activeness of this technologyallows learners to experience these environments in different ways and with greater richness.The complexity of developing haptic virtual learning simulation systems increases as the subjective contentincreases. In [21], in order to identify the impact of the project – hapTEL (developing and evaluating avirtual learning system within an HE healthcare education setting), two theoretical frameworks
homework problems and answering questions about projects. In addition to helping them with work, the Veterans bring a professionalism to the classroom that the cadets observe and in some cases mimic. There are more than educational benefits to having the Veterans in the classroom. Additionally, the Veterans are not only helping cadets in which they have class in, they are also helping cadets in other class sections. “Veteran Student “For some of the non-veteran students I do feel as if we make an impact on them. We have different backgrounds that we can pull from when doing schoolwork. Those experiences allow us to tell and show how different aspects of our schooling are important and are used in the
subjects [1]. To worsen theissue, the number of students enrolled in engineering disciplines is not increasing and in some casesis decreasing [2] with especially low representation from underrepresented minorities [1] andfemale students [3]. In response to this lack of interest in STEM majors, robotics programs havebeen created specifically to motivate high school students toward STEM careers. The use ofrobotics to perform tasks is captivating [1]. Robotics competitions capture students’ attention withthe practicality of hands-on projects and exciting challenges while increasing students’confidence in STEM topics, such as geometry and physics [4]. This increase in comfort levelwith STEM topics has positively impacted these same students
organisms. 3D printing can lead to betterinteractions between engineers and psychologists, produced standardized techniques that areneeded in the behavioral sciences, and encourage skills which may encourage students to enterthe STEM aspects of psychology.8. AcknowledgmentThe authors would like to acknowledge the Endeavor – Digital Manufacturing Maker Space atOklahoma State University’s College of Engineering, Architecture, and Technology. Thislaboratory was designed to increase undergraduate laboratory and exploratory time forinterdisciplinary, hands-on, and industry-aligned learning. We would also like thank Dr. BradRowland for providing the Endeavor facility for this project and Jon Bramsch and HannahLancaster for designing and printing the Y
University Indianapolis Elizabeth Freije is a Lecturer in the Department of Engineering Technology at Purdue University, Indi- anapolis. She received her BS in Computer Engineering Technology with a minor in Mathematics. She received her Masters in Technology at Purdue University, Indianapolis. She teaches classes in program- ming languages, embedded micro-controllers, mobile devices, and programmable logic controllers.Ms. Mengyuan (Alice) Zhao, Indiana University-Purdue University Indianapolis Mengyuan (Alice) Zhao is the Associate Director of Research and development at IUPUI CyberLab. Her team works on designing, developing and commercializing innovative educational technology tools. Their current project is
underlying factor structures for items across all fourteenmodules through the exploratory factor analysis. A confirmatory factor analysis will thenevaluate the proposed emerging factor structure. The analysis will conclude with a finalizedfactor structure, completing steps four and five in the instrument development process. Futurework past this project will extend to step 6, in which we will work to interview current science,engineering, and mathematics graduate students to ask them to comment on the final surveyinstrument and reflect on what areas regarding to their current mental health experiences aremissing.The ultimate purpose of this work is to create an instrument that measures science, engineeringand mathematics graduate students’ mental
perceptions of the relationship between work [13] [14]Balance and non-work obligations and demandsFinances During An individual's perceptions of his or her financial situation [15] [16]Higher Education during higher education as an undergraduate and/or graduate studentFinancial An individual's perceptions of his or her current financial [16] [17]Responsibilities situation and ability to fulfill obligationsThe scale items used in PEAS were developed specifically for this project. We examined scalesfrom existing surveys that probe academic workplace climates and rejected them based onprincipals of best practice [18] [19]. We found existing scales tended to lack sufficient validityevidence or
English teacher and an educational project manager for seven years. In 2015, he came to the University of Missouri to study educational technology and received his M.Ed. in 2017. He started his doctoral study in the same year. During his master’s and doctoral studies, he worked as a research assistant in the Information Experience Lab and conducted user experience evaluations and usability studies. He also contributed to multiple re- search projects covering online learning, creativity in engineering education, game-based learning, and virtual reality learning environment. American c Society for Engineering Education, 2020 Valued Defiance
University. He has additional appointments in the Jonathan M. Tisch College of Civic Life and the Center for Engineering Education and Outreach at Tufts. His current engineering education research interests focus on community engage- ment, service-based projects and examining whether an entrepreneurial mindset can be used to further engineering education innovations. He also does research on the development of sustainable materials management (SMM) strategies.Dr. Daniel Knight, University of Colorado Boulder Daniel W. Knight is the Program Assessment and Research Associate at Design Center (DC) Colorado in CU’s Department of Mechanical Engineering at the College of Engineering and Applied Science. He holds a B.A. in
across the other course requirements, which included three exams, 6quizzes and 3 projects. Homework sets were designed to provide students with practice applyingconcepts and problem-solving strategies to help prepare them for the exams. The first two examsconsisted of two versions (A and B), each having the same problems with various dimension andload values changed. Students in each section randomly received either an A version or a Bversion. The third exam was taken by all students at the same time in the same room. The examconsisted of two versions but with the same problems presented in a different order. The samethird exam had been used over the years until recently, when a change needed to be made due toa security breach. A similar exam
local elementary and middle schools to increase student awareness of STEM.Another model is the ExxonMobil Bernard Harris Summer Science Camp [8]. This free camphas been offered at more than a dozen universities across the country aiming to build self-confidence and interest in STEM among middle school students, particularly fromunderrepresented populations, using a project-based inquiring learning model. However, themajority of these programs are not designed for early elementary grades, despite findings thatearly exposure positively impacts students' perceptions and dispositions toward STEM [9], [10],which increase the likelihood that students will ultimately pursue STEM careers [11].One OST program that does specifically target early
Paper ID #30871First-graders’ Computational Thinking in Informal Learning Settings(Work in Progress)Ms. Hoda Ehsan, Purdue University at West Lafayette Hoda is a Ph.D. student in the School of Engineering Education, Purdue. She received her B.S. in me- chanical engineering in Iran, and obtained her M.S. in Childhood Education and New York teaching certification from City College of New York (CUNY-CCNY). She is now a graduate research assistant on STEM+C project. Her research interests include designing informal setting for engineering learning, and promoting engineering thinking in differently abled students in informal
achievement of Black students and professionals in higher education. She is the PI or co-PI on several grant-funded research projects including the national Black Doctoral Women Study (BDWS), the Women in Engineering Study (WIES), and Bulls-Engineering Youth Experience for Promoting Relationships, Identity Development, & Empowerment (Bulls-EYE PRIDE).Dr. Eugenia Vomvoridi-Ivanovic Eugenia Vomvoridi-Ivanovi´c is an Associate Professor of Mathematics Education at the department of Teaching and Learning. Eugenia is mathematically bi-literate (English and Greek) and has taught mathe- matics at the middle school, high school, and college level. She currently teaches mathematics education courses to undergraduate, masters
participants’ engineering identity which is related to their educational andprofessional persistence [3] [4]. A review of the literature summarizing approaches torecruitment and retention of women and the role of engineering identity can be found in a priorpublication [2].Our current project studied the impact of the 2019 conference on various aspects of engineeringidentity in the participants through pre- and post-conference surveys. Our work draws heavilyfrom the following prior work, which indicates that identity in general, and engineering identitymore specifically, is a multi-dimensional construct that is influenced by many factorsand frequently dependent on context. Before describing influences in engineering identity, it isimportant to note
function. For example, the edX course on electrical circuits listsas learning objectives: designing and analyzing circuits; lumped circuit models and abstraction;construction of simple digital gates; and measurement of circuit variables [1]. This paper is abouta course designed to enable the novice learner to begin using foundational understanding todesign simple instrumentation circuits that can sense and measure physical phenomena that areconcrete to the novice learner, such as angle, weight, temperature, relative humidity, distance,and one’s own heartbeat, pulse, and blood pressure. After completing the modules, students aregiven an opportunity to design a final project involving sensing, measurement, andinstrumentation. As a first-semester
particularly focus on what prevents students from being able to integrate and extend the knowledge developed in specific courses in the core curriculum to the more complex, authentic problems and projects they face as professionals. Dr. Koretsky is one of the founding members of the Center for Lifelong STEM Education Research at OSU. American c Society for Engineering Education, 2020 Work-in-Progress: An Online Journal Tool with Feedback for a Learning Assistant Program in EngineeringOverviewThis work-in-progress paper presents the development and pilot implementation of a computer-based reflection tool used in a Learning Assistant (LA) Program in
. Finally, the students will meet with potential mentors todiscuss research opportunities and then write a synopsis of the meetings along with the positivesand negatives of each opportunity. The goal is for the students to identify a mentor and start theprocess of integrating into their mentor’s research lab. Following lectures on literature searches and reading the literature, the student will locatejournal articles of their mentors work and other related work. This assignment will also havethem write a synopsis of the articles and how it is connected with the student’s project. Later inthe semester, the students will enter the manuscripts into a reference manager. The scientificmethods will then be covered over three lectures. Future
Press, 2015.[12] P. Lencioni, The five dysfunctions of a team. John Wiley & Sons, 2006.[13] EDUCBA. "Effective & Useful Way to Deal with Difficult Team Members." https://www.educba.com/deal-with-difficult-team-members/ (accessed.[14] D. C. Rajapakse, Practical Tips for Software-intensive Student Projects. Damith C. Rajapakse, 2010.[15] L. L. Greer, L. Van Bunderen, and S. Yu, "The dysfunctions of power in teams: A review and emergent conflict perspective," Research in Organizational Behavior, vol. 37, pp. 103-124, 2017.[16] B. Oakley, R. M. Felder, R. Brent, and I. Elhajj, "Turning student groups into effective teams," Journal of student centered learning, vol. 2, no. 1, pp. 9-34, 2004.[17] M
, Purdue University-Main Campus, West Lafayette (College of Engineering) Carla B. Zoltowski is an assistant professor of engineering practice in the Schools of Electrical and Com- puter Engineering and (by courtesy) Engineering Education, and Director of the Vertically Integrated Projects (VIP) Program within the College of Engineering at Purdue. She holds a B.S.E.E., M.S.E.E., and Ph.D. in Engineering Education, all from Purdue. Her research interests include the professional for- mation of engineers, diversity, inclusion, and equity in engineering, human-centered design, engineering ethics, and leadership.Prof. Patrice Marie Buzzanell, Purdue University at West Lafayette Patrice M. Buzzanell is Professor and Chair of