-traditional students who work full time jobs, additional class periods during the workday are difficultto accommodate. Several participants noted that many students dropped the class when learning of theadditional time commitment. Many computing classes incorporate team-based work to mirror work-forceexperiences. When students dropped the class, the remaining students were met with an increasedworkload and were deprived of the opportunity to collaborate with other students and to develop bothcompetence and recognition amongst peers to foster computing identity.In addition to the high drop rate, several participants were teamed up with students who were attendingthe “extra” class period, but not enrolled in the HSCC course for credit. Without the
Paper ID #39832Faculty Use of Active Learning in Community CollegesAriel Chasen, University of Texas, Austin PhD Student in STEM education at University of Texas at AustinMs. Lea K. Marlor, University of Michigan Lea Marlor is a Ph.D. candidate at the University of Michigan, studying Engineering Education Research. She has a M.S. in Engineering Education Research from the University of Michigan, as well as a B.S. in Materials Engineering from Rensselaer Polytechnic Institute. Previously, she was the Associate Director for Education for the Center for Energy Efficient Electronics SciencesDr. Cynthia J. Finelli
Paper ID #37705Examining Student Experiences Related to Transfer from Two-YearTechnical Colleges to Engineering and Computer Science Degree Programsat a Four-Year InstitutionShannon ConnerOlivia Anne DiSilvestreMr. Marcus Lee Ridlehuber, Clemson University Senior Mechanical Engineering majorLouise Averitt, Clemson UniversityDr. D. Matthew Boyer, Clemson University Boyer is a generalist in the learning sciences, with a PhD in educational psychology and educational technology. His interests focus on effective knowledge building and transfer with digital technologies. His current work involves how STEM knowledge and skills are
withdraw. These data points were included in the descriptiveanalysis but not in the predictive models.Multiple entries for some students exist in the data set due to those students repeating the CollegeAlgebra course between the years 2017 and 2021. The number of attempts each student made tocomplete the Algebra Courses were calculated and served as one of the input parameters of themodel. Only the grade obtained in their most recent attempt was utilized for evaluating themodel.Additionally, student records with grades that are not included in the computation of the GPA,referred to as other grades (such as incomplete, non-credit, transfer, etc.) are removed from thedata set. Table 3. Evaluation of the machine learning algorithms
from Complex Data4. Causal Coupling Inference in Mass Shootings Data5. Relating Carbon Nanotube Network Structure to Mechanical and Viscoelastic Performance6. Using Fourier Transforms to Disambiguate Microstructures of Ferromagnetic FeSiB Ribbons7. Analog Computing Simulation Tool for Machine Learning Inference in Edge Biomedical DevicesFor the hands-on workshop, students were provided a free ($100 value) SparkFun Inventors Kit[4], which is used in the host institution’s undergraduate curriculum for all undergraduate firstyear engineering students. For the first week of the REU program, an engineering facultymember taught half-day workshops to introduce students to Arduino programming, all thesensors available in the kit, and
Paper ID #42760Engaging Community College Students in Artificial Intelligence Researchthrough an NSF-Funded Summer Research Internship ProgramDr. Zhuwei Qin, San Francisco State University Dr. Zhuwei Qin is currently an assistant professor in the School of Engineering at San Francisco State University (SFSU). His research interests are in the broad area of deep learning acceleration, interpretable deep learning, and edge computing. Dr. Qin serves as the director of the Mobile and Intelligent Computing Laboratory (MIC Lab) at SFSU. Dr. Qin’s research endeavors are dedicated to addressing the inherent challenges related
two large motors and one medium motor, with thetwo large motors being identical to each other. There are three methods of connectionavailable between a user's computer and the LEGO controller: USB cable connection,Bluetooth connection, and Wi-Fi connection. In this new course, the LEGO robot isconnected to a computer via USB connection for better connection stability.3 Course descriptionsThe newly proposed course is composed of two main parts: the Basics part and the Projectspart, both of which utilize LEGO and MATLAB. In the Basics part, students learn andpractice fundamental programming concepts. The Projects part consists of two assignedprojects, a line-tracking robot and a cleaning robot, and one Student-Led project. Through
adoption ofnew technologies, whose impact on student learning remains uncertain. Simultaneously, theimperative to maximize the career trajectories of HSI and Low-income students in burgeoningfields such as Artificial Intelligence, Autonomous Systems, and Machine Learning has becomeincreasingly apparent. The heightened demand for graduates with robust computer sciencebackgrounds, evident in both tech giants like Google, IBM, and Microsoft, and countless smallstart-up companies like Zoom, underscores the urgency for universities to produce STEMgraduates capable of meeting the nation's evolving infrastructure and security needs.A second critical challenge is to enhance the representation of diverse populations, including low-income and
Paper ID #43306A Model for Course-Based Undergraduate Research in First-Year EngineeringProf. Eric Davishahl, Whatcom Community College Eric Davishahl serves as professor and engineering program coordinator at Whatcom Community College in northwest Washington state. His current project involves developing and piloting an integrated multidisciplinary learning community for first-year engineering. More general teaching and research interests include designing, implementing and assessing activities for first-year engineering, engineering mechanics, and scientific computing. Eric has been an active member of ASEE since 2001
. For the third and fourth Bridge iteration, these positions were mostlyoccupied by former Bridge participants. Tutors are tasked to proactively reach out to participantsduring class time, and to assist with examples and with ALEKS self-study. For the duration of theBridge, participants are also given an option to schedule additional tutoring sessions both in personand remotely.CohortsStudents entering the Bridge self-identify as interested in Engineering or Computer Sciencemajors. Participants are made aware they are learning alongside peers and future collegeclassmates, thus initiating a Community of Practice (CoP) [17]. During the years of in-personinstruction, lunch was brought in once a week providing students with an opportunity to
with states and institutions to improve student success in college, particularly with Complete College America (CCA). At University of Colorado Boulder, Heidi is a Senior Research Associate in Ethnography & Evaluation Research, a center focused on STEM education. She recently was the project lead in transforming teaching evaluation practices in the College of Arts & Sciences. A fourth-generation Coloradoan and educator, she lives in Denver with her husband, two college-aged children, and rescue dog.Mr. Nick Stites, University of Colorado Boulder Nick Stites is the Director of the Integrated Teaching and Learning Program at CU Boulder and an instructor with the Integrated Design Engineering program. Dr
exacerbate the shortage of STEM workers, it is particularly unequal acrossgender and ethnicity—women, African Americans, Hispanics, and American Indians/NativeAmericans remain highly underrepresented in STEM degree programs (Center, 2023), as well asengineering and computer science professions.Barriers for student enrollment and persistence in STEM degree programs are numerous andvaried—especially in the community college context. From adverse math experiences in middleand high school to a lack of financial, academic, and social support for a rigorous STEM-basedacademic pathway to self-efficacy and impostor syndrome struggles, underrepresented studentsface many challenges in achieving transfer to 4-year university engineering and computer
importance of lifelong learning. 2. Use technical communication skills to explain the analysis and results of introductory laboratory exercises in engineering and computer science. 3. Explain the engineering analysis and design process and use it to solve problems. 4. Analyze data collected during laboratory exercises designed to expose students to the different engineering disciplines. 5. Describe the impact engineering has had on the modern world. 6. As part of a team, design a simple engineering device, write a design report, and present the design. 7. Demonstrate computer literacy through computer aided analysis, graphing, documentation, and presentation of results. 8. Create detailed plans for degrees at
international division of the American Society for Engineering Education. Examples of some Awards from other Professional Organizations: • American Society of Civil Engineers (ASCE): Engi- neering Educator of the Year Award 2004. • Utah Engineers Council, UEC: Engineering Educator of the Year 2005 award, in recognition of outstanding achievements in the field of engineering and for service to society. • SLC Foundation; Salt lake City, Utah: Teaching Excellence Award 2004 and 2012. * SLCC Faculkty Exemplary Service Award April 2015 and 2016. • American Society of Civil Engineers (ASCE): Chapter faculty Advisor recognition award 2002. • Computational Sciences and Education; recognition for outstanding contributions and for
evidence-based changes to teaching and learning that yield more equitable ©American Society for Engineering Education, 2024 Eliminating Sources of Information Asymmetry in Transfer Articulation Gregory L. Heileman,† Chaouki T. Abdallah,‡ and Andrew K. Koch,? † heileman@arizona.edu Department of Electrical & Computer Engineering University of Arizona ‡ ctabdallah@gatech.edu Department of Electrical &
studying Human and Social Dimensions of Science and Technology in the School for the Future of Innovation in Society in ASU’s College of Global Futures. She practices Socio-technical Integration Research as an embedded social scientist who collaboratively works with technologists (STEM students, STEM faculty, and Tech Com- panies) to increase reflexive learning during technology development and implementation to pro-actively consider the impact of technology decisions on local communities and society at large. This work creates spaces and processes to explore technology innovation and its consequences in an open, inclusive and timely way.Mara Lopez, Arizona State University Dr. Mara Lopez is a full-time Research
. The framework functions within time and resourceconstraints faced by many community college faculty and illustrates opportunities to facilitatemeaningful student work within these constraints.Research projects were conducted by four students, working in groups of two, over the course ofnine months. The projects were mentored by an engineering community college faculty memberand supported by an NSF funded LSAMP grant program. Students utilized Arduino Unomicrocontroller kits to learn the basics of the hardware and software components. Through guidedand independent literature review activities student teams selected research topics. Faculty ledstudent teams through the development of specific research questions and design of experimentdetails
including: ● Students gain valuable hands-on experience in a supportive learning environment ● Opportunity to network and be mentored by faculty/ 4-year university students and grad mentors ● Development of identity as STEM learners ● Comfort/familiarity with the 4-year university, further instilling transfer goals and attainment of B.S With these learning outcomes in place, Growth Sector works with the followinguniversities to develop and continue to implement research internship placements for STEMCore students: • San Jose State University Engineering & Computer Science • California State University Los Angeles Engineering • Santa Clara University Frugal Innovation Hub • Florida
system. An Android deviceimplemented a voice recognition module to select control profiles for the exo-glove, while aJetson Nano developer kit running a deep learning-based computer vision module detected theobject to be grasped and measured distance for more accurate control. The project providedhands-on experience in embedded system design, machine learning, human-machine interfacedesign, and computer vision.Intelligent Structural Hazard Mitigation Laboratory: This project is designed to validate theintegrity of a wooden walk path in the laboratory and investigate the effects of several distinctfloor surfaces in capturing walking patterns. The American population is aging. According to themost recent report from the Census Bureau, more than 20
. Williams, “Board 60: Learning to MakeChange by Revolutionizing Departments: Initial Team Experiences,” presented at ASEE AnnualConference & Exposition, Columbus, Ohio, June 2017, DOI: 10.18260/1-2--27889[21] E.L. Ingram, E. Litzler, C. Margherio, K. Doten-Snitker, and J.M. Williams, “Board 159:The Researcher/Practitioner Strategic Partnership: Linking Theory and Practice for Change inEngineering and Computer Science Education,” presented at ASEE Annual Conference &Exposition, Salt Lake City, Utah, June 2018, DOI: 10.18260/1-2--29962[22] E. Litzler, J.M. Williams, C. Margherio, K. Doten-Snitker, S. Mohan, and E. Andrijcic,“Building Shared Vision to Advance Diversity, Equity, and Inclusion Systemic Change inEngineering Education,” presented
been presented at AlamoSTEM Ecosystem Educator Conference and several schools in the San Antonio area.It uses a variety of exercises designed to challenge different areas of the brain; just as physicalexercises affect various muscle groups. The exercises are disguised as games since one of themost recent trends in education is the ”edutainment” concept. It combines educational contentwith entertaining activities so, the participants learn while having fun.The program is extremely flexible and can be adapted to various locations, number of participants,or time intervals, and applies to all age brackets with educational applications. It is designed to beoffered in multiple stages of complexity, and the length of each stage may be modified as
engineering program, and over three years at a community college. Dr. O’Riordan-Adjah help develop the college’s strategic plan during his time at one of the community colleges. He is committed to aligning student learning to not only the strategic plan but also the real world, and employer needs. He understands how the college can serve students holistically by focusing on retention and student success initiatives, like improved advising, success coaching, and connections to employers. He is also an advocate of the Building and Construction Trades which provides a great opportunity for hands-on student enthusiasts. ©American Society for Engineering Education, 2023 ASEE Annual Conference
Hadnagy, University of Washington Tacoma Dr. Emese Hadnagy is an associate professor and chair of the BS Civil Engineering program at the University of Washington Tacoma. Dr. Hadnagy received her Ph.D. at the University of New Hampshire. Her work falls in the broad areas of surface water quality assessment, physicochemical treatment technology development, and engineering education research.Dr. Sarah L Rodriguez, Virginia Polytechnic Institute and State University Sarah L. Rodriguez is an Associate Professor of Engineering Education and an affiliate faculty member with the Higher Education Program at Virginia Tech. Her engineering education research agenda centers upon engineering and computing identity development of
, Computing, and Applied Sciences at Clemson University. His work focuses on how technology supports knowledge building and transfer in a range of learning environments. ©American Society for Engineering Education, 2024 Examining the motivations and experiences of transfer students participating in an undergraduate research courseAbstractIn this paper, we use both quantitative and qualitative methods to examine transfer student’s in ascholarship program to better understand their university experiences and what drives them tosucceed. The Student Pathways in Engineering and Computing for Transfers (SPECTRA)program is an NSF S-STEM (Award#1834081) that aims to aid students in their transfer fromtwo
Paper ID #38387Mentor Perspectives of Apprenticeships for Community College STEM Ca-reersMs. Sara E. Rodriguez, University of Texas, El PasoDr. Benjamin C. Flores, University of Texas, El Paso Dr. Benjamin C. Flores joined the faculty of the University of Texas at El Paso (UTEP) in 1990 after receiving his Ph.D. in Electrical Engineering from Arizona State University. He is Professor of Electrical and Computer Engineering.Dr. Chandra Anne Turpen, University of Maryland, College Park Dr. Chandra Turpen is a Research Assistant Professor in the Department of Physics at the University of Maryland. She has expertise in physics
Education. Examples of some Awards from other Professional Organizations: • American Society of Civil Engineers (ASCE): Engi- neering Educator of the Year Award 2004. • Utah Engineers Council, UEC: Engineering Educator of the Year 2005 award, in recognition of outstanding achievements in the field of engineering and for service to society. • SLC Foundation; Salt lake City, Utah: Teaching Excellence Award 2004 and 2012. * SLCC Faculkty Exemplary Service Award April 2015 and 2016. • American Society of Civil Engineers (ASCE): Chapter faculty Advisor recognition award 2002. • Computational Sciences and Education; recognition for outstanding contributions and for exemplary work in helping the division achieve its goals1998
andpromising trends in education is the “edutainment” concept, which combineseducational content with entertaining activities so, the participants learn while havingfun.The program proved its flexibility as it was adapted to various locations, number ofparticipants, and time intervals. The paper will present the continuation of the program,the new results, and the plans for future expansion of the program to reach a broaderrange of participants.IntroductionExtensive evidence supports the effectiveness of instructing engineering students inspatial visualization skills, leading to improved outcomes. Research, spanning from theearly 1990s onwards, has consistently shown that practicing and training in spatialvisualization enhances performance in
Paper ID #44236Advancing Two-Year Degree Students Towards a Bachelor’s Degree in EngineeringTechnology: A Pilot StudyDr. Md. Ali Haider, Austin Peay State University Dr. Md. Ali Haider is an Assistant Professor at Austin Peay State University, serving as the concentration coordinator for Electronics and Electrical Engineering Technology. His research interests include Biomedical Signal Processing, Brain-computer interface, Image processing, Artificial Intelligence, Machine Learning, and the Internet of Things (IoT). Dr. Haider has authored multiple publications on signal and image processing and serves as a reviewer for
Investigator of NSF-funded projects.Pamela J Silvers, Mentor-Connect/Florence Darlington Pamela Silvers is Professor Emeritus - have taught in the Computer Technologies Department at Asheville-Buncombe Technical Community College. Currently she is co-Principal Investigator (co-PI) for the Mentor-Connect Forward Grant. She previously served at PI for three NSF ATE Grant entitled Skilled Workers Get Jobs which focused on recruiting and retaining more women into technology programs.Buffy Quinn, University of Southern Mississippi ©American Society for Engineering Education, 2024 Applying Project Management Skills to NSF ATE-funded Grants: A roadmap to success for first-time grantees
Paper ID #38659From Cooperation to Alliance: Transforming a Transfer Partnership toPromote Engineering Degree Pathways for Underrepresented StudentsDr. Matthew Ford, University of Washington, Tacoma Matthew J. Ford (he/him) received his B.S. in Mechanical Engineering and Materials Science from the University of California, Berkeley, and went on to complete his Ph.D. in Mechanical Engineering at Northwestern University. After completing a postdoc with the Cornell Active Learning Initiative, he joined the School of Engineering and Technology at UW Tacoma to help establish its new mechanical engineering program. His teaching