Paper ID #18418Mechanical Engineering Capstone Projects in Rehabilitation DesignDr. Carl A. Nelson P.E., University of Nebraska-Lincoln Carl Nelson is a Professor of Mechanical and Materials Engineering at the University of Nebraska- Lincoln.Dr. Judith Marie Burnfield, Madonna Rehabilitation Hospitals’ Institute for Rehabilitation Science and Engi-neering Judith M. Burnfield, PhD, PT, is Director of the Institute for Rehabilitation Science and Engineering, Di- rector of the Movement and Neurosciences Center and the Clifton Chair in Physical Therapy and Move- ment Sciences at Madonna Rehabilitation Hospital. Dr. Burnfield
Paper ID #17924Improving Performance and Retention of Engineering Graduate Studentsthrough Motivation and Identity FormationDr. Cheryl Cass, North Carolina State University Cheryl Cass is a teaching assistant professor in the Department of Materials Science and Engineering at North Carolina State University where she has served as the Director of Undergraduate Programs since 2011. Her research focuses on the intersection of science and engineering identity in post-secondary and graduate level programs.Dr. Adam Kirn, University of Nevada, Reno Adam Kirn is an Assistant Professor of Engineering Education at University of
Paper ID #22559Gateways-ND: Advancing Learner-Focused Instruction to Catalyze STEMStudent SuccessDr. Jill M. D. Motschenbacher, North Dakota State University Associate Director of the Office of Teaching and Learning; Adjunct Professor of Soil Science - North Dakota State UniversityMrs. Rebecca ReichenbachDr. Mark Hanson, North Dakota State University Mark Hanson is Associate Director of Institutional Research at North Dakota State University.Emily A. Berg Berg, North Dakota State University Emily Berg is the Director of Institutional Research and Analysis at North Dakota State University.Dr. Jared Ladbury, North Dakota
Engineering Education in 2008 and 2011 and from the IEEE Transactions on Education in 2011 and 2015. Dr. Ohland is an ABET Program Evaluator for ASEE. He was the 2002–2006 President of Tau Beta Pi and is a Fellow of the ASEE, IEEE, and AAAS.Dr. Susan M. Lord, University of San Diego Susan M. Lord received a B.S. from Cornell University and the M.S. and Ph.D. from Stanford University. She is currently Professor and Chair of Electrical Engineering at the University of San Diego. Her teach- ing and research interests include electronics, optoelectronics, materials science, first year engineering courses, feminist and liberative pedagogies, engineering student persistence, and student autonomy. Her research has been
Paper ID #25827Board 3: Engineering Technology Scholars-IMProving Retention and Stu-dent Success (ETS-IMPRESS): First Year Progress ReportDr. Nasser Alaraje, Michigan Technological University Dr. Alaraje is a Professor and Program Chair of Electrical Engineering Technology in the School of Technology at Michigan Tech. Prior to his faculty appointment, he was employed by Lucent Technolo- gies as a hardware design engineer, from 1997- 2002, and by vLogix as chief hardware design engineer, from 2002-2004. Dr. Alaraje’s research interests focus on processor architecture, System-on-Chip design methodology, Field-Programmable
treat the airway dehydration present in patients with Cystic Fibrosis through mathematical modeling and systems engineering principles.Dr. Renee M Clark, University of Pittsburgh Dr. Renee Clark has 23 years of experience as an engineer and analyst. She currently serves as the Direc- tor of Assessment for the University of Pittsburgh’s Swanson School of Engineering and its Engineering Education Research Center (EERC), where her research focuses on assessment and evaluation of engi- neering education research projects and initiatives. She has most recently worked for Walgreens as a Sr. Data Analyst and General Motors/Delphi Automotive as a Sr. Applications Programmer and Manufactur- ing Quality Engineer. She received
discipline-focused scholarship in the area of teaching and learning, with an aim of creating pathways that lead to student success, professional development, and institutional transformation. Motschenbacher received a Ph.D. (2012) in Crop, Soil and Environmental Sciences, with a focus in Soil Physics, from the University of Arkansas. She also received an M.Ed. (2007) in the Administration of Higher Education and a B.S. (2006) in Agribusiness from Middle Tennessee State University. Prior to working at NDSU, Motschenbacher completed a research and extension education postdoc in the Depart- ment of Agricultural and Biosystems Engineering at Iowa State University and two USAID agricultural development projects in rice
Paper ID #7863Just-in-Time-Teaching with Interactive Frequent Formative Feedback (JiT-TIFFF or JTF) for Cyber Learning in Core Materials CoursesProf. Stephen J Krause, Arizona State University Stephen J. Krause is professor in the Materials Science Program in the Fulton School of Engineering at Arizona State University. He teaches in the areas of engineering education design, capstone design, and introductory materials engineering. His research interests include evaluating conceptual knowledge, misconceptions and their repair, and conceptual change. He has co-developed a Materials Concept In- ventory for assessing
Paper ID #9116Characterizing and Modeling the experience of Transfer Students in Engi-neeringDr. Matthew W. Ohland, Purdue University and Central Queensland University Matthew W. Ohland is Professor of Engineering Education at Purdue University and a Professorial Re- search Fellow at Central Queensland University. He has degrees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. His research on the longitudinal study of engineer- ing students, team assignment, peer evaluation, and active and collaborative teaching methods has been supported by over $12.8 million from the National
Materials Engineering at the University of Dayton. Dr. Vasquez earned his B.Sc. degree in chemical engineering (ChE) at Universidad Centroamericana Jose Simeon Canas (UCA) in El Salvador, an M.S. in ChE at Clemson University, and a Ph.D. in ChE at Mississippi State University.Dr. Corinne H Mowrey, University of DaytonMichael Moulton, University of DaytonDr. Homero Murzi, Virginia Polytechnic Institute and State University Dr. Homero Murzi (he/´el/his) is an Associate Professor in the Department of Engineering Education at Virginia Tech with honorary appointments at the University of Queensland (Australia) and the University of Los Andes (Venezuela). Homero is the leader of the Engineering Competencies, Learning, and Inclusive
Paper ID #37960Board 333: Lessons Learned Doing Secondary Data Analysis in EERDr. Jennifer M. Case, Virginia Tech Jennifer Case is Head and Professor in the Department of Engineering Education at Virginia Tech, with an honorary position at the University of Cape Town. Her research on the student experience of learning in engineering education has been widely published.Dr. Holly M. Matusovich, Virginia Tech Dr. Holly Matusovich is the Associate Dean for Graduate and Professional Studies in the College of Engineering at Virginia Tech and a Professor in the Department of Engineering Education where she has also served in
Paper ID #30452Accelerated Learning and Assessment in Engineering Mechanics: Designingan Interactive Tool to Support Students’ LearningDr. Nicole P. Pitterson, Virginia Polytechnic Institute & State University Nicole is an assistant professor in the Department of Engineering Education at Virginia Tech. Prior to joining VT, Dr. Pitterson was a postdoctoral scholar at Oregon State University. She holds a PhD in Engi- neering Education from Purdue University and other degrees in Manufacturing Engineering from Western Illinois University and a B.Sc. in Electrical and Electronic Engineering from the University of
teaching and advising awards including the UIC Award for Excellence in Teaching (2017), COE Excellence in Teaching Award (2008, 2014), UIC Teaching Recognitions Award (2011), and the COE Best Advisor Award (2009, 2010, 2013). Dr. Darabi has been the Technical Chair for the UIC Annual Engineering Expo for the past 7 years. The Annual Engineering Expo is a COE’s flagship event where all senior students showcase their Design projects and products. More than 700 participants from public, industry and academia attend this event annually. Dr. Darabi is an ABET IDEAL Scholar and has led the MIE Department ABET team in two successful accreditations (2008 and 2014) of Mechanical Engineering and Industrial Engineering
Paper ID #20368Algae for STEM EducationDr. Kauser Jahan, Rowan University Kauser Jahan, is a Professor of Civil and Environmental Engineering at Rowan University. She received her B.S.C.E. from the Bangladesh University of Engineering and Technology, an MSCE from the Univer- sity of Arkansas, Fayetteville and a Ph.D. from the University of Minnesota, Minneapolis. Her passion as an educator and mentor has been recognized by many professional organizations over the years. She is the recipient of the Gloucester County Women of Achievement Award, Lindback Foundation Teaching Award, the NJ ASCE Educator of the Year award
the Journal of Engineering Education in 2008 and 2011 and from the IEEE Transactions on Education in 2011 and 2015. Dr. Ohland is an ABET Program Evaluator for ASEE. He was the 2002–2006 President of Tau Beta Pi and is a Fellow of the ASEE, IEEE, and AAAS.Dr. Susan M Lord, University of San Diego Susan M. Lord received a B.S. from Cornell University and the M.S. and Ph.D. from Stanford Univer- sity. She is currently Professor and Chair of Integrated Engineering at the University of San Diego. Her teaching and research interests include inclusive pedagogies, electronics, optoelectronics, materials sci- ence, first year engineering courses, feminist and liberative pedagogies, engineering student persistence, and
Paper ID #11719ENFUSE: Engaging Fundamentals and Systems Engineering in IntroductoryCircuitsDr. Paul G. Flikkema, Northern Arizona University Paul G. Flikkema is Director of the Informatics & Computing Program and a Professor of Electrical Engineering at Northern Arizona University. He is broadly interested in the properties of distributed natural and synthetic networked systems that sense and react to their environment, including decentralized and resilient systems. His current work includes research and education in energy-efficient embedded systems and networks and wireless sensor/actuator networks for monitoring
published in the Journal of Engineering Education in 2008, 2011, and 2019 and from the IEEE Transactions on Education in 2011 and 2015. Dr. Ohland is an ABET Program Evaluator for ASEE. He was the 2002–2006 President of Tau Beta Pi and is a Fellow of the ASEE, IEEE, and AAAS.Dr. Susan M Lord, University of San Diego Susan M. Lord received a B.S. from Cornell University in Materials Science and Electrical Engineering (EE) and the M.S. and Ph.D. in EE from Stanford University. She is currently Professor and Chair of Integrated Engineering at the University of San Diego. Her research focuses on the study and promotion of diversity in engineering including student pathways and inclusive teaching. She is Co-Director of the
Paper ID #40318Board 356: Perspectives from an Intervention Model to Improve Retentionand Success Among Low-income Hispanic Engineering StudentsDr. Manuel A. Jimenez, University of Puerto Rico Mayaguez Dr. Jimenez is a professor at the Electrical & Computer Engineering Department in the University of Puerto Rico Mayaguez (UPRM). He earned his B.S from Universidad Autonoma de Santo Domingo, Dominican Republic in 1986, M.S. from Univ. of Puerto Rico Mayaguez, and Ph.D. from Michigan State University in East Lansing, MI.Dr. Luisa Guillemard, University of Puerto Rico, Mayaguez
Paper ID #9102SMARTER Teamwork: System for Management, Assessment, Research, Train-ing, Education, and Remediation for TeamworkDr. Matthew W. Ohland, Purdue University and Central Queensland University Matthew W. Ohland is Professor of Engineering Education at Purdue University and a Professorial Re- search Fellow at Central Queensland University. He has degrees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. His research on the longitudinal study of engineer- ing students, team assignment, peer evaluation, and active and collaborative teaching methods has been supported by over
Paper ID #15082Active Engineering Education Modules: Summary Paper of Five Years of In-cremental Improvements to the ModulesDr. Ashland O. Brown, University of the Pacific Ashland O. Brown, Professor of Mechanical Engineering, University of the Pacific He has served as dean of engineering for ten years at both the University of the Pacific and South Carolina State University and headed engineering groups at Ford Motor Co. and General Motors Corp. The engineering groups included a product design section composed of product analysis engineers finite element analysis experts and prod- uct development engineers. He has taught
Paper ID #10148JTF Web-Enabled Faculty and Student Tools for More Effective Teachingand Learning Through Two-Way, Frequent Formative FeedbackProf. Stephen J Krause, Arizona State University Stephen J. Krause is professor in the Materials Program in the Fulton School of Engineering at Arizona State University. He teaches in the areas of bridging engineering and education, capstone design, and introductory materials science and engineering. His research interests include strategies for web-based teaching and learning, misconceptions and their repair, and role of formative feedback on conceptual change. He has co-developed a
known or not-known by each individual student.This is accomplished by using Bayes rule to calculate the posterior probability of concepts giventhe answers provided by the student to various questions.Transition probabilities between concepts and questions are based on the type of answersprovided. For example, a correct answer to Quiz1_V requires the student to master vectors (V),see Fig.2. This prompts P(Quiz1_V=C|V=known)=0.7 and P(Quiz1_V=X|V=known)=0.01where X is either A, B, or D. This conditional probability corresponding to answering correctlycan be easily constructed, however, the more interesting probability of answering incorrectlywhen the concept is not known is more challenging to define. This is related to themisconceptions that the
be happening through May 2019 andtraining and course materials will be made available to the teachers in July 2019. Figure 1. Subgoals piloted in Fall 2018. Subgoals for evaluating and writing expression (assignment) statements A. Evaluate expression statement B. Write expression statement 1. Determine whether data type of expression is 1. Determine expression that will yield variable compatible with data type of variable 2. Determine data type and name of variable and data 2. Update variable for pre based on side effect type of expression 3. Solve arithmetic equation 3. Determine arithmetic equation with operators 4
systems.2) Kit-based systems can allow students to interact and learn during the assembly, modificationand repair process.The two kit-based systems that were deployed in the University of Massachusetts Lowell Me-chanical Engineering courses were the (a) Zentoolworks family of CNC machines (7”x12”,7”x7” and 12” x 12” cut area, https://www.zentoolworks.com) and (b) the Inventables.comShapeoko II system (https://www.inventables.com/projects/shapeoko-2-the-works-110v). A de-tailed presentation of these machines as well as the safety considerations (safety enclosures,noise limits, electrical systems, etc.) is presented in Vaillant et al.3-62.1.1 Zentoolworks PVC Sheet, Threaded Rod CNC MachinesZentoolworks CNC machines comprise a single axis moving
CCLI (TUES) project. The first course was offered twice; thelatter once. Outcomes assessed within the ABET framework include students’ ability to (a) applymath and science, (b) conduct experiments and interpret data, and (e) solve problems.Experimental and control groups were compared with respect to these outcomes. This paperfocuses on the modified laboratory experience and the assessment of its effectiveness as asupplement to previously published work related to this project. It summarizes observed benefitsfrom the use of these tools, such as more efficient task completion, the flexibility to completetasks that remain unfinished during the scheduled laboratory session, and the ability for studentsto achieve laboratory objectives at their
: at-risk or prone-to-risk (grade below B-), and average or outstanding (grade B- or above) • Three types: at-risk or prone-to-risk (grade below B-), average (grade B- or above but below A-), and outstanding (grade A- or above) • Four types: at-risk (grade below C-), prone-to-risk (Grade C- or above but below B-), average (Grade B- or above but below A-), and outstanding (grade A- or above)Addressing RQ2, we delve into the impact of integrating students’ background andnon-cognitive features on the predictive accuracy of LLMs. We hypothesize that a richer featureset, reflecting both the academic and experiential learning trajectories of students, cansignificantly enhance LLM forecasting capabilities.Our contributions are
) (b)Figure 3. (a) Block Diagram of FFT (b) Plot of FFT of a Rectangular Signal.Android based FFT blockThe algorithm for the Fast Fourier transform has been implemented in this block. The discreteFourier transform is calculated using the Cooley-Tukey decimation-in-time FFT algorithm 21.Different lengths of FFT can be chosen by the user. Figure 3 shows an example simulation inA- JDSP for computing FFT of a rectangular signal. The plot view in Figure 3 can be selected bypressing the Plot function and the user can navigate back to the block diagram by pressing theBack button.Android based Filtering blockFiltering is one of the basic algorithms of signal processing. Several functionalities have beenprovided to help students to understand concepts
Elliott, Sippola & Watkins,2018); and in biology, the core biological transition of ATP to ADP. A M B C D A M B C DFigure 1. A Gaussian gun of four ball bearings and a set of strong magnets. Top: before release, bottom: after.The class of eight students, working in three lab groups, developed a range of ideas to explainthe phenomenon. Through our conversations with as a whole class and in their groups, the ….Group A: The “physics” groupAs the students debated ideas regarding the origin of the energy in this phenomenon, one studentrolled a ball down a three-ring binder to represent the energy of
coursecame from their participation in a team project that called for designing a sustainablemanufacturing process for a product. The teams were encouraged to select the product central totheir design, instead of the product being chosen for them by the instructor. Twenty-six engineering students in Class B, a course in integrated product development,participated in this study. A majority of the students in this class reported that they were pursuinga master’s degree in engineering, although four undergraduates and two doctoral alsoparticipated in the study. The age of the students in Class B ranged from 22 to 45 year old withmajority of the students reporting an age of less than 27 years old. The aim of this class is tofamiliarize students
provides answer-based tutoring where thestudent is usually just told whether or not their final (usually numerical) answer is correct. In afew cases, intermediate results are requested. Students were randomly assigned to either useCircuit Tutor or System X for DC node analysis, and the opposite system for DC mesh analysis(Group A), or vice versa (Group B). The Circuit Tutor exercises included both writing therelevant types of equations, and a separate module where they had to be fully solved. CircuitTutor provided corresponding examples, though students were not required to view them. Thenumber and types of problems assigned in System X were designed to be very similar to thenumber and type of problems students had to work in Circuit Tutor, though