Collection

2007 ASEE Midwest Section Conference

Authors

Wei Zhang

University Carbondale Carbondale, IL 62902 USA zhang@engr.siu.edu AbstractThe introductory courses in computer architecture typically introduceundergraduate students a large number of hardware components and theirorganizations, including the datapath, control unit, cache, memory, hard disk, bus,other I/O devices, etc. Without a global picture of the computer as a system,students often have difficulties in relating these topics to what they have learned inlower level courses, and can be easily overwhelmed by a large variety of discretetopics, which will impact their learning outcome. This paper

Collection

2015 Pacific Southwest Section Meeting

Authors

Jing Pang

, undergraduate computer engineering students were dividedinto small groups of 3 to 4 students to participate in the technical paper reading, projectproposing, design discussion, and design presentation. Students used schematic based CAD toolsand also Verilog1 Hardware Language based design tools to get engaged in the process ofdesigning the computer hardware components such as the FIFO2, and also the Mic-13microprocessor. The organization of the design assignments applied in this course was toencourage students for hypothesis formulation, problem analysis, information synthesis, cleararticulation of design ideas and results, and also draw logical conclusions, which are core skillsfor critical thinking. Students learning outcomes were clearly specified

Conference Session

Design Thinking and Creativity

Collection

2018 ASEE Annual Conference & Exposition

Authors

Catherine T. Amelink, Virginia Tech; Kirsten A. Davis, Virginia Tech; Barbara G. Ryder, Virginia Tech; Margaret O'Neil Ellis, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Paper ID #21123Exploring Factors Influencing the Continued Interest in a Computer ScienceMajorDr. Catherine T. Amelink, Virginia Tech Dr. Amelink is Assistant Vice Provost for Learning Systems Innovation and Effectiveness, Virginia Tech. She is also an affiliate faculty member in the Departments of Engineering Education and Educational Leadership and Policy Studies at Virginia Tech.Ms. Kirsten Davis, Virginia Tech Kirsten Davis is a doctoral candidate in the Department of Engineering Education at Virginia Tech, where she also completed her master’s degree in Higher Education. She is the graduate assistant for the Rising

Conference Session

Capstone Design II

Collection

2007 Annual Conference & Exposition

Authors

Kyu-Jung Kim, California State Polytechnic University-Pomona

Tagged Divisions

Design in Engineering Education

that computational tools can increase productivity of teaching and learning thefundamental mechanics courses, since they allow students to unload the computational burdenand to conduct various thought experiments and simulations for creatively solving mechanicsproblems. Most mechanics problems often can be solved by hand in conjunction with genericmathematics computer packages such as MS Excel spreadsheet, MathCAD, MAPLE, MATLAB,TK Solver, etc. However, this mode of solution is more or less unrealistic since it is yet achallenge for most undergraduate engineering students. There are also commercial high-endcomputational software tools that can be used for these courses but they are too specialized,expensive and complicated to be used in

Conference Session

Electrical & Computer Engineering Poster Session

Collection

2005 Annual Conference

Authors

Ganesh Venayagamoorthy

output.The learning gain and momentum term have to be carefully selected to maximize accuracy,reduce training time and ensure global minimum. A JAVA based software developed for MLPneural networks developed by the author is used to teach the need to carefully select theseparameters and their effects [9]. More details on neural networks can be found in [5].Evolutionary Computation (EC)In this part, the topics covered include Genetic Algorithms (GAs), Genetic Programming (GP), Page 10.454.3Evolutionary Programming (EP), Evolutionary Strategies (ESs). These algorithms are introducedand their numerous applications are demonstrated in class through

Collection

2001 Annual Conference

Authors

Eric Bell

levels, but on theaverage have not yet made the connection between math and engineering mechanics. It is byexample and homework problems that we instill the connection.Most presentations for making this connection are either printed matter, or computer-basedlearning. Computer-based learning holds the most promise at this time because we have to admitthat printed material is limited in its level of interactivity. It is difficult to respond to a particularstudent problem without mudding the waters for everyone.A solution, which addresses these limitations, is a program that queries students for problemcomponents. This relieves the system of having to be a complete intelligent tutoring system byaddressing specific parts of the example problem. And

Conference Session

Materials Division (MATS) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jacob Kelter, Northwestern University; Jonathan Daniel Emery, Northwestern University

Tagged Divisions

Materials Division (MATS)

Paper ID #42855Re-Envisioning Materials Science Education Through Atomic-Level ComputationalModelingMr. Jacob Kelter, Northwestern University Jacob Kelter is a PhD candidate at Northwestern University in the joint program between computer science and learning sciences. His research focuses on using agent-based modeling for science education and computational social science research, both relatedProf. Jonathan Daniel Emery, Northwestern Univeristy Jonathan Emery is an Associate Professor of Instruction in Materials Science and Engineering at Northwestern University. ©American Society for

Conference Session

Engineering Physics & Physics Division Technical Session 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Yumin Zhang, Southeast Missouri State University; David K. Probst P.E., Southeast Missouri State University

Tagged Divisions

Engineering Physics & Physics

, mathematics is the toughest, as it takesconsiderable time and effort to learn. In our school, the background of students is very diverse,and some of them even have trouble in doing simple integrals. Fortunately, technology comes tothe rescue. SAGE© is an open source symbolic computation tool, and it can be used for symbolicderivation, so every student can find the derivative, integral, and even gradient of functionseasily. In addition, it also supports programming in Python© style. With the challenge ofmathematics alleviated, more time is available to cope with the challenges of other issues, suchas new concepts and approaches. At the end of the semester, students were tested withConceptual Survey of Electricity and Magnetism, as well as surveyed on

Conference Session

First-Year Programs Division WIPS 2: Students and Peer Mentors

Collection

2024 ASEE Annual Conference & Exposition

Authors

Atheer Almasri, West Virginia University; Todd R. Hamrick, West Virginia University; Carter Hulcher, West Virginia University; Akua B. Oppong-Anane, West Virginia University; Xinyu Zhang, Purdue University ; Lizzie Santiago, West Virginia University

Tagged Divisions

First-Year Programs Division (FYP)

), guided (discussions, debates, case studies, project work,simulations, mentoring, and workshops), and active learning (brainstorming, role play, games,site visits, outdoor training, and coaching) [1]. Courses have been designed exclusively tosupport the development of critical non-technical skills, including communication skills andteamwork, in engineering and computer science [2, 3]. However, the alignment of the skillstaught in those courses with the needs of students in subsequent courses have not been addressed.This study is aimed at understanding how the technical and non-technical skills taught in a first-year engineering program aligns with the needs of students in subsequent engineering andcomputer science courses. Research questions for

Conference Session

Laptop/Handheld Computing in Education

Collection

2002 Annual Conference

Authors

Susan Hudson

summary of the larger COE/ME context and then focus on lessonslearned in responding to the COE/ME computer initiative for a lower level engineeringclass, Thermodynamics I. In researching methods to implement the laptop requirementwith the special concerns of a lower level class, very little information was found in theliterature. Some information was gained through personal communication but most wasgained through trial and error in the classroom. The lessons learned have evolved overmultiple semesters of experimenting with alternative techniques to arrive at methodsappropriate for the particular class. This paper documents those lessons learned in anattempt to help others with a similar challenge.IntroductionMississippi State University’s ME

Conference Session

Mechanical Engineering: Student Growth

Collection

2022 ASEE Annual Conference & Exposition

Authors

J. Hylton, Ohio Northern University; Lawrence Funke, Ohio Northern University

demonstrate mastery, significantly lowering the stakes ofany individual attempt. Efforts have manifested at every level, up to and including entire mastery-basedprograms.In this work, the five-year-long reinvention of a mechanical engineering computer applications course isexamined as it was transformed from traditional to flipped to competency-based, navigating the onsetof COVID along the way. In the most recent iteration, the course involves a framework of repeatableassessments across an array of outcomes, including both traditional exam format assessment as well asmore involved project-based assessments, a set of video modules, and a group project. The rationalesfor and lessons learned from this journey are explored, along with student comments

Collection

ASEE-NE 2022

Authors

Cuong H Pham, Wentworth Institute of Technology

nuanced and comprehensive manner.Computer Science encompasses far more than programming. Skuse et al. [1] observe, “ComputerScience is the study of algorithms, i.e., of processes for solving problems. … Learning toprogram, itself, is not Computer Science any more than learning French is the study of FrenchLiterature; a computer scientist may have to learn a programming language to implement analgorithm.” Thus, Computer Science and Society are essential complements of each other.Faculty at University of British Columbia developed a CS 0.5 course [2] in addition to for non-CS majors because that population was increasingly taking CS 1 classes and having a negativeexperience and not meeting the learning outcomes. The new course covers 40% of the

Conference Session

Materials Division Technical Session 3

Collection

2016 ASEE Annual Conference & Exposition

Authors

Lan (Samantha) Li, Boise State University

Tagged Divisions

Materials

Thermodynamics,and Structure of Materials. We also flipped the courses, requiring students to self-study topicsoutside the class. In the class, the instructors focused on demonstrating real-world materialsproblems and guiding the students to solve the problems using different computational modelingtechniques. Learning the computational modeling concepts within a short period of time waschallenging to the students. Another challenge was that the students had various STEMbackgrounds, such as MSE, mechanical engineering, and physics. In order to foster studentlearning, engage student interest and seamlessly couple computational modeling modules withthe courses, real-world problems, examples and homework were all developed based on studentbackground and

Conference Session

NSF Grantees Poster Session

Collection

2005 Annual Conference

Authors

Garcia Julio; Patricia Backer

Aviation and Technology in the College of Engineering atSJSU. He teaches electronics and computer courses to undergraduate students and has taught one class in the MS ofQuality Assurance in the department. He holds a Doctorate in Industrial Technology from the University ofNorthern IowaPATRICIA RYABY BACKERPatricia Backer is a Professor and chair of the Department of Aviation and Technology in the College ofEngineering at SJSU. She holds a BS degree in Chemical Engineering from Rutgers University, a MA and MSdegree from Tennessee Temple University, and a MA and PhD from Ohio State. Her research interests are in theintegration of multimedia and web-based learning into technology instruction. “Proceedings of the 2005 American Society for

Collection

2023 ASEE GSW

Authors

Akila Ravichandran; Kiran Katira; Tariq Khraishi

, electricity, strength ofmaterials, and mechanics. Jordan-Bloch & Cohen (2018) used service learning to motivate girlsinto STEM education/careers. Che (2018) used students in a computer-aided engineering (CAE)course to construct a CAD model via ANSYS for an old truss bridge. The motivation for thisproject was for students to help determine the load-carrying capacity (or reverse engineer it) of thebridge for safety purposes going forward. Krishnan & Nilsson (2015) discuss a course titled“Engineering Projects for the Community” at their institution to engage students in communityprojects. Projects cover a wide variety of engineering majors including civil, mechanical,electrical, bio and computer. This course also emphasizes the need to interact

Conference Session

Incorporating Technology in the Classroom

Collection

2022 ASEE Annual Conference & Exposition

Authors

Mariana Silva, University of Illinois at Urbana - Champaign; Matthew West, University of Illinois at Urbana - Champaign; Sascha Hilgenfeldt, University of Illinois at Urbana - Champaign; Philipp Hieronymi; Nicolas Nytko, University of Illinois at Urbana - Champaign; Akshit Deshpande, University of Illinois at Urbana - Champaign; Jer-Chin Chuang, University of Illinois at Urbana - Champaign

Paper ID #36870Innovating and modernizing a Linear Algebra class throughteaching computational skillsMariana Silva (Teaching Associate Professor) Mariana Silva is a Teaching Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Silva is known for her teaching innovations and educational studies in large-scale assessments and collaborative learning. She has participated in two major overhauls of large courses in the College of Engineering: she played a key role in the re-structure of the three Mechanics courses in the Mechanical Science and Engineering

Conference Session

First-year Programs Division Technical Session 5: Using Video, Games, and More in the First Year

Collection

2015 ASEE Annual Conference & Exposition

Authors

Gregory Warren Bucks, University of Cincinnati; Kathleen A. Ossman, University of Cincinnati

Tagged Divisions

First-Year Programs

perceptions toward theinverted classroom pedagogy.3-6 For example, J. Foertsch et al used the flipped classroomapproach in a computer course for sophomores and juniors called Engineering Problem Solvingusing Computers.3 Survey data from their study indicated that students in the flipped version ofthe course gave significantly higher ratings to all aspects of the course; however no mention wasmade of the effect on student learning. Some of the recent research studies focus on whether or Page 26.1698.2not the flipped classroom has an effect on student learning and performance.7-9 At Harvey Mudd,a controlled study was performed in selected engineering

Conference Session

Engineering Design Graphics Division Technical Session 2: VR, AR, and CAD

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Robert P. Leland, Oral Roberts University; Rachael Valentz, Oral Roberts University

Tagged Divisions

Engineering Design Graphics

Paper ID #33457Collaboration with Nursing in Computer-aided Design of Emergency RoomsProf. Robert P. Leland, Oral Roberts University Robert Leland has taught engineering at Oral Roberts University since 2005. Prior to that he served on the faculty at the University of Alabama from 1990 - 2005. His interests are in control systems, engineering education, additive manufacturing and stochastic processes. He has participated in engineering education research through the NSF Foundation Coalition, NSF CCLI and NSF Department Level Reform programs.Mrs. Rachael Valentz, Oral Roberts University Rachael Valentz has taught various

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jung Won Hur, Auburn University; Cassandra Thomas, Tuskegee University; Li Huang, Tuskegee University; Xiao Chang, Tuskegee University

Tagged Topics

Diversity, NSF Grantees Poster Session

addition to teaching and advising students, she has worked to nurture and retain students who demonstrate high academic achievement and financial need and to teach STEM-related skills and cybersecurity issues via Mobile App development.Dr. Li Huang, Tuskegee University Li Huang, associate professor in department of psychology and sociology at Tuskegee University. She earned her doctorate at Auburn University in 2007. Her research mainly focus on minority students academic achievement and success, STEM field retention for minority serving institution.Dr. Xiao Chang, Tuskegee University Dr. Xiao Chang is an assistant professor of computer science at Tuskegee University. His research areas include machine learning

Conference Session

ERM: Instruction and Engagement

Collection

2022 ASEE Annual Conference & Exposition

Authors

Gerald Prendergast, University of South Carolina Aiken

) class using Creo Parametric, a feature-based solid modelingprogram. In spring 2019, the author instructed students in a traditional classroom setting, goingstep-by-step through the first ten lessons in Toogood [1]. However, in spring 2020 when classesshifted online due to the pandemic, the author decided to shift his instruction to a recorded videoformat. This approach provided students with more flexibility and a greater sense of control overtheir learning process. Students responded very well to this approach and performed better, onaverage, than in 2019. The recorded video approach also seemed to align well with the attentionto detail required for computer modeling. Therefore, the author used this video tutorial approacheven more extensively

Conference Session

NSF Grantees Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Pong P. Chu, Cleveland State University; Chansu Yu, Cleveland State University; Karla R Hamlen, Cleveland State University

Tagged Topics

NSF Grantees Poster Session

. Karla Hamlen is an Associate Professor of Educational Research in the Department of Curriculum and Foundations. She specializes in educational research relating to both formal and informal entertainment technology use among students. c American Society for Engineering Education, 2017 Integrating Computer Engineering Lab Using Spiral Model1. Introduction 1.1 Motivation Recent engineering education studies call for change to enhance student learning and tobetter prepare graduates to meet the new challenge 1,2,3. A good engineer should have a deepunderstanding of a domain and can apply the knowledge to solve problems 4. This requires twotypes of practices – the “component skill,” which is the

Conference Session

K-12 & Pre-College Engineering Division: Evaluation: Exploring the Impact of Programs & Professional Development for K-12 Teachers

Collection

2016 ASEE Annual Conference & Exposition

Authors

Andrea Carneal Burrows Borowczak, University of Wyoming; Mike Borowczak, Erebus Labs

Tagged Divisions

Pre-College Engineering Education Division

total group of 41 K-12 science, mathematics, and technology (STEM) in-service teacherschose to participate in a Math and Science Partnership grant for professional development (PD),named Launching Astronomy: Standards and STEM Integration or LASSI (resources found atUWpd.org/LASSI) for 25-days during the summer and academic year that involved astronomyand computer science (CS) opportunities (e.g. Arduinos) that they could recreate in theirclassrooms. Electrical/computer engineering, astronomy, and educational experts defined theactivities, which were intended to introduce CS concepts to teachers and thus K-12 students increative manners. The LASSI PD focused on astronomy – and used CS - as a vehicle toexplicitly model problem-based learning

Conference Session

Web-Based Instruction

Collection

2003 Annual Conference

Authors

Mufazzal Arif; Mitchel Keil; Jorge Rodriguez; Alamgir Choudhury

needfor programming and increase the flexibility of the learning tool, commercial symbolic-manipulation software (e.g. Mathcad) is utilized for the calculations performed in themodule. The module is available either as an application module or on the web for thestudents of specific courses in the subject area. The tool allows for faster solution of aproblem, experimentation with the effect of various parameters of a problem on itssolution, and graphical visualization. It is expected to generate greater student interest inthe subject, resulting in better understanding of the underlying theories and principles.Additionally, it will enhance computer skills for solving technical problems, as sought bythe industry and required by program accrediting

Conference Session

Digital Simulation Tools in Energy Education

Collection

2011 ASEE Annual Conference & Exposition

Authors

Laura J. Genik, Michigan State University; Craig W. Somerton, Michigan State University

Tagged Divisions

Energy Conversion and Conservation

to showcase the uses of MATLAB in the context ofengineering applications. Learning objectives were developed for the introduction of MATLABto the courseA2. In courses focused on learning the tool, rather then the application, students canbecome muddled in the nuances of the tool rather then its overall usefulness to the discipline.This is the impetus for adding this component to a required class in the sophomore level.Students were informed on the syllabus that certain assignments would be computer intensiveand the point value for these problems would reflect the amount of expected effort. It was also Page 22.1642.2noted on the homework

Collection

1998 Annual Conference

Authors

Kenneth L. Tuttle

Engine Cycles. The Midshipmen atthe Naval Academy write computer models of the heat engine cycles to study thethermodynamics of heat engines. The best example of the thermodynamic cycle modeled is theBrayton Cycle. The Marine Engineering students use a spread sheet program on their personalcomputers to model the Air Standard Brayton Cycle and run experiments by varying theindependent variables.INTRODUCTIONTraditionally, engineering students learn most or all of the thermodynamic cycles that are incommon use to model heat engines. They may learn to work around the Air Standard Cycle forOtto, Diesel and Brayton by assuming air behaves as an ideal gas with constant specific heats.They may also treat the working fluid as a real gas and use Gas

Conference Session

Computational Thinking in Pre-College Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Tony Andrew Lowe, Purdue University, West Lafayette; Sean P. Brophy, Purdue University, West Lafayette

Tagged Divisions

Pre-College Engineering Education

Paper ID #25444Identifying Computational Thinking in Storytelling Literacy Activities withScratch Jr.Prof. Tony Andrew Lowe, Purdue University, West Lafayette Tony Lowe is a PhD student in Engineering Education at Purdue University. He has a BSEE from Rose- Hulman Institute of Technology and a MSIT from Capella. He currently teaches as an adjunct at CTU Online and has been an on-and-off corporate educator and full time software engineer for twenty years.Dr. Sean P. Brophy, Purdue University, West Lafayette Dr. Sean Brophy is the director of Student Learning for the INSPIRE Pre-college Research Institute at Purdue University

Conference Session

Division Experimentation & Lab-oriented Studies Electrical Engineering and Circuits

Collection

2017 ASEE Annual Conference & Exposition

Authors

Kathleen A. Ossman, University of Cincinnati; Gregory Warren Bucks, University of Cincinnati

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Paper ID #17741Adding Hardware Experiments to a First-Year Engineering Computing CourseDr. Kathleen A. Ossman, University of Cincinnati Dr. Kathleen A. Ossman is an Associate Professor in the Department of Engineering Education at the University of Cincinnati. She teaches primarily first-year students with a focus on programming and problem solving. Dr. Ossman is interested in active learning, flipped classrooms, and other strategies that help students become self-directed learners.Dr. Gregory Warren Bucks, University of Cincinnati Gregory Bucks joined the Department of Engineering Education in 2012. He received his BSEE

Conference Session

Studies of Classroom Assessment: Exam Wrappers, Equitable Grading, Test Anxiety, and Use of Reflection

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Karen C. Davis, Miami University

Tagged Divisions

Educational Research and Methods

efficacy of exam wrappers for reflective learning has been established inSTEM disciplines such as physics, biology, chemistry, and math. Very little research in usingexam wrappers in engineering and computing courses has been conducted to date. Twocontributions of this paper are (1) a characterization of the recent findings in engineering andcomputing education literature on the efficacy of exam wrappers, and (2) an analysis of thequestion types used on those exam wrappers. A third contribution of the paper is an examinationof the efficacy of exam wrappers in an upper-level computer science course. The studyinvestigates the relationship between student performance on two midterm exams before andafter introducing exam wrappers. Student responses

Conference Session

Mathematics in the Transition

Collection

2003 Annual Conference

Authors

Lisa Kilmer-Doty

Session #2665 Fostering a Relationship between Computer Animation and Middle School Math Students Lisa A. Kilmer University of Central FloridaAbstract This paper documents an outreach program from a university-level computer animationprogram to students within a middle school math class. Students were introduced to the conceptof 2D and 3D space during the first class meeting using a variety of inexpensive props andappropriate brainteasers. The second meeting consisted of the students using basic geometricshapes to create computer-animated

Conference Session

Using Computation and Modeling, Engineering Physics and Physics Division (EP2D) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ruben D. Lopez-Parra, University of New Mexico; Ravishankar Chatta Subramaniam; Jason Morphew, University of Illinois, Urbana-Champaign

Tagged Divisions

Engineering Physics and Physics Division (EP2D)

Paper ID #38566Promoting Computational Thinking in Integrated Engineering Design andPhysics LabsDr. Ruben D. Lopez-Parra, University of New Mexico Ruben D. Lopez-Parra is a Post-doctoral fellow in the Department of Chemical & Biological Engineering at University of New Mexico. His Ph.D. is in Engineering Education from Purdue University and he has worked as a K-16 instructor and curriculum designer using various evidence-based active and passive learning strategies. In 2015, Ruben earned an M.S. in Chemical Engineering at Universidad de los An- des in Colombia where he also received the title of Chemical Engineer in