Conference Session

Instructional Showcase

Collection

2024 ASEE Annual Conference & Exposition

Authors

Stephany Coffman-Wolph, Ohio Northern University; Ahmed Ammar, Ohio Northern University; Henry Timothy Debord, Ohio Northern University

Tagged Topics

Professional Interest Council (PIC)

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

By Henry Debord, Dr. Ammar, Dr. Coffman- Wolph THE through 12th grade. It consists of 6 tactile buttons and a Raspberry Pi Pico (a palm-size computer that allows students to learn about CODETROLLER programming and basic electronics) and a 3Dprinted protective case. This is a cost-effective programming educational tool for students and teachers alike. The Codetroller replaces the traditional keyboard and mouse set up toallow your students to play preexisting gamesor explore learning to program in Scratch. This project provides an opportunity for students to learn soldering (but a pre solder option is available). Use the

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Ayush Vasu Gowda, Florida Atlantic University; Daniel Raviv, Florida Atlantic University; Juan David Yepes, Florida Atlantic University

Tagged Topics

Professional Papers

and gain practical experience in an accessible way. In this paper, we detail theprogression of technical expertise, problem-solving abilities, and creative thinking fosteredthrough exploration.The student joined this project with minimal robotics knowledge and only a basic understandingof computer vision. He learned about theoretical mathematical algorithms developed prior to hisinvolvement and was introduced to existing Python and Excel simulations. After learning thetheory, the student assembled a HiWonder JetAuto Pro Jetson Nano robot, created an artificial3D environment, developed a Python program using OpenCV, and implemented and verified thetheories and simulations. He also recorded and processed relevant videos.As part of a team

Collection

2015 Pacific Southwest Section Meeting

Authors

Baird W. Brueseke; Gordon W. Romney

483 Computer Lab Provisioning: A Review of Current Educational Practices Baird W. Brueseke, Gordon W. Romney iNetwork, Inc. /National University, School of Engineering and Computing San Diego CAAbstractTraditionally, brick and mortar universities and junior colleges have delivered computerlaboratory exercises via dedicated equipment resources in the classroom. Current trends inhigher education have seen the classroom setting evolve into a distance learning environment.Students enrolled in distance learning

Conference Session

Computing and Information Technology Division (CIT) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lily Liang, University of the District of Columbia; Briana Lowe Wellman, University of the District of Columbia; Rui Kang

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

associate professor and chair in the Department of Computer Science and Information Technology at the University of the District of Columbia. She joined UDC in May 2012 after receiving her Ph.D. in Computer Science from The URui Kang Rui Kang is Professor of Secondary Education (6-12) of Georgia College & State University (GCSU). She teaches graduate courses in numerous areas, including math pedagogy, assessment, educational research, and learner development. She holds two Ph.D. degrees, in Curriculum and Instruction from Texas A&M University (2007) and in Mathematics Education from the University of Georgia (2022). Her scholarship focuses on mathematics teaching and learning, STEM education, and teacher

Collection

ASEE 2021 Gulf-Southwest Annual Conference

Authors

Prabha Sundaravadivel, The University of Texas at Tyler

it challenging for such students who are not enrolled in departments such as ComputerScience or Computer Engineering. In Electrical Engineering, learning to code in C or C++language has been helpful for engineers to program their microcontrollers and perform someanalysis on circuits and devices where the theoretical work is quite advanced. MechanicalEngineers on the other hand use programming if they are interested to work in control systems,robotics, or mechatronics3.To help our Electrical and Mechanical engineering students with necessary programming skillsetsand be better prepared for the ever-changing job market, a new course EENG 2301 ProgrammingLanguages for Design was developed and taught in Spring 2020 at the University of Texas at

Collection

2014 EDI

Authors

Anshuman Razdan

Academic Integrity Issues inOnline and Computer Based Testing Dr. Anshuman Razdan “AR” Professor, Ira A. Fulton Schools of Engineering President/CEO Vproctor.com razdan@asu.edu or razdan@vproctor.com The Premise: E-Learning• Need to reach global workforce/students cost effectively.• Knowledge, technology and products are available for dissemination of information.• Institutions and customers are comfortable interacting online.• New pedagogical models with media rich environment provides better learning methods.• Standards are emerging but we are not there !!12/21/2015 2E-Learning Case• In 2009, 1.25 million took all classes

Conference Session

Curriculum and Assessment I

Collection

2019 ASEE Annual Conference & Exposition

Authors

Reza Sanati-Mehrizy, Utah Valley University; Kailee Parkinson, Utah Valley University; Elham Vaziripour, Utah Valley University; Afsaneh Minaie, Utah Valley University

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology

Professor and Chair of Engineering Department at Utah Valley University. She re- ceived her B.S., M.S., and Ph.D. all in Electrical Engineering from University of Oklahoma. Her research interests include gender issues in the academic sciences and engineering fields, Embedded Systems De- sign, Mobile Computing, Wireless Sensor Networks, Nanotechnology, Data Mining and Databases. c American Society for Engineering Education, 2019 Data Mining Course in Undergraduate Computer Science CurriculumAbstractData Mining combines tools from statistics, neural networks, and machine learning with databasemanagement to analyze large data sets. It is a well-researched area of computer science with highdemand due to its

Conference Session

K-12 & Pre-College Engineering Division: Fundamental; K-12 Students & Engineering Division: Fundamental; K-12 Students & Engineering Design Practices: Best Paper Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Morgan M. Hynes, Purdue University, West Lafayette; Tamara J. Moore, Purdue University, West Lafayette; Monica E. Cardella, Purdue University, West Lafayette; Kristina Maruyama Tank, Iowa State University; Senay Purzer, Purdue University, West Lafayette; Muhsin Menekse, Purdue University; Sean P. Brophy, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division

interactions with technologies ranging from manual manipulative like structures students design build and test with shake tables to digital manipulative with mobile devices. He continues to explore new methods to enhance informal and formal learning experiences. c American Society for Engineering Education, 2016Inspiring computational thinking in young children's engineering design activitiesIntroductionComplementing science and mathematics, computational thinking and engineering areincreasingly integrated into K-12 classrooms as well as K-12 out-of-school environments. In theUnited States, these efforts are motivated by the Computer Science Teaching Association’s K-12standards, the inclusion of engineering in the

Conference Session

Engineering Technology Division (ETD) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Marilyn Barger P.E., FLATE (Florida Advanced Technological Education Center of Excellence); Richard Gilbert, University of South Florida

Tagged Divisions

Engineering Technology Division (ETD)

alwaysincluded in I4.0 technology equipment. With this attribute information from equipmentsensors is efficiency transferred to an edge computer and equipment operationinstructions are effectively returned to the equipment final control elements.The complete Learning Integrated Manufacturing System (LIMS), Figure 2, with over 50Input/Output Interfaces, is an example and open access to its complete rules engine, aswell as analytics and statistics engines for turn-key subsystem and system applicationsmakes this industry focused interface an excellent tool for “hands-on” InformedEngineering Design learning approach in ET 2-year degree programs. Figure 2: The Learning Integrated Manufacturing System (not connected).Integrated Manufacturing System

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Xumin Liu; Erik Golen; Rajendra Raj, Rochester Institute of Technology (GCCIS)

great demand 1,2,3 . However, the majority of current data science courses either haveprerequisite requirements on programming (such as Python) or are designed with a major focuson programming, which is inappropriate for non-computing majors. First, these students cannotaccess the traditional data science curriculum due to long prerequisite chains consisting ofcomputing and mathematical topics listed earlier. Second, non-computing majors are usuallymore interested in learning how to use data science techniques effectively in the context of theirdisciplines, rather than learn how to write code. Therefore, it is crucial for data science to bebrought to non-computing majors in an easy-to-access manner.In this paper, we describe the design and

Conference Session

Computing and Information Technology Division Technical Session 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Margaret Ellis, Virginia Tech; Catherine T. Amelink, Virginia Tech; Stephen H. Edwards, Virginia Tech; Clifford A. Shaffer, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology

Paper ID #29158Incorporating Practical Computing Skills into a Supplemental CS2Problem Solving CourseProf. Margaret Ellis, Virginia Tech Assistant Professor of Practice, Computer Science Department, Virginia Tech My research interests include examining ways to improve engineering educational environments to facil- itate student success, especially among underrepresented groups.Dr. Catherine T. Amelink, Virginia Tech Dr. Amelink is Acting 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

Conference Session

NSF Grantees: First Year Programming (2)

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Alark Joshi, University of San Francisco; Gian Bruno; Xornam Apedoe, University of San Francisco; Sophie Engle, University of San Francisco; Sami Rollins, University of San Francisco; Matthew Malensek, University of San Francisco

Tagged Topics

Diversity, NSF Grantees Poster Session

low-income backgrounds succeed in their goal of successfullypursuing a career in Computer Science, we at the University of San Francisco started a community engagement-focusedprogram that was funded by the NSF S-STEM program. Our “Community Engaged Scholars in Computer Science [4]”program is focused on promoting community engagement by providing students with a comprehensive suite of structuredopportunities to learn from and to contribute back to the community. As a part of this program students will participate in sixcore activities: (1) an Early Arrival Program, (2) CS 101 - a course specifically designed to introduce them to campus andprofessional resources necessary for success, (3) cohort enrollment in Computer Science courses [5], (4

Conference Session

NSF Grantees Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

James Dean Palmer, Northern Arizona University; Joseph Flieger, Northern Arizona University; Eddie Hillenbrand

Tagged Topics

NSF Grantees

code, complex build tools, and unintuitive interfacesthat discourage students from engaging in directed and focused practice.In this paper we review existing introductory computer science tools, enumerate barriersto student learning we have identified in our own classes, and introduce a new web-basedpedagogical platform for teaching computer science that emphasizes problem solving andcore computer science concepts while deemphasizing the role of specialized developmenttools. This is accomplished with JavaGrinder, a task specific web 2.0 environment wherestudents can work either individually or as teams on bite-sized problems that focus onsolid software engineering practices and concept mastery. Concepts are presented withinreal-world contexts

Conference Session

Teaching with Technology

Collection

2013 ASEE Annual Conference & Exposition

Authors

Alejandra J. Magana, Purdue University, West Lafayette; Michael L Falk, Johns Hopkins University; Mike Reese, Johns Hopkins University; Camilo Vieira, Purdue University

Tagged Divisions

Educational Research and Methods

Paper ID #7450Materials Science Students’ Perceptions and Usage Intentions of Computa-tionDr. Alejandra J. Magana, Purdue University, West Lafayette is an Assistant Professor at the Department of Computer and Information Technology at Purdue Univer- sity West Lafayette. Magana’s research interests are centered on the integration of cyberinfrastructure, computation, and computational tools and methods to: (a) leverage the understanding of complex phe- nomena in science and engineering and (b) support scientific inquiry learning and innovation. Specific efforts focus on studying cyberinfrastructure affordances and

Collection

2007 North Midwest Section Meeting

Authors

Qingli (Barbara) Dai

their capstone senior design project sequence,and can also practice NX by taking technical electives in CAD and Finite ElementAnalysis.Elective course MEEM 4403 - Computer-Aided Design (CAD) Method [2] is to helpstudents practice the computer – aided design of mechanical system though theoreticallectures and laboratory assignments. NX integrated with this CAD method courseallowed students to learn the modern industrial design skills. PACE competition based onthe course final design projects judged the students’ teamwork from professional aspects.Objective of the Course and ActivitiesThe objectives of this elective course are to instruct students in both practical andtheoretical aspects of using computers to aid in the design of mechanical

Conference Session

Potpourri

Collection

2016 ASEE Annual Conference & Exposition

Authors

Roxanne Moore, Georgia Institute of Technology; Douglas Edwards, Georgia Institute of Technology; Jason Freeman, Georgia Institute of Technology; Brian Magerko, Georgia Institute of Technology; Tom McKlin, SageFox Consulting Group; Anna Xambo, Georgia Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Computing & Information Technology

gateway to better understanding how to effectively teach computing skills. Much of this work results in cutting edge digital media experiences in digital games, interactive narrative, and educational media. Dr. Magerko has been research lead on over $5 million of federally-funded research; has authored over 60 peer reviewed articles related to cognition, creativity, and computation; has had his work shown at galleries and museums internationally; and co-founded a learning environment for computer science - called EarSketch - that has been used by tens of thousands of learners worldwide.Tom McKlin, SageFox Consulting GroupDr. Anna Xambo, Georgia Institute of Technology Anna Xamb´o is a postdoctoral fellow at Center for

Conference Session

Computing and Information Technology Division Technical Session 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Uma Kannan; Rajendran Swamidurai, Alabama State University

Tagged Divisions

Computing and Information Technology

as computer architectures,cryptography, networking, secure coding, secure system development, penetration testing,incidence response, tool development, operating systems internals (such as Linux), and low-level 2programming [17-21] and how and the organization’s information system operates [22-24], 2)soft skills such as team-work, problem-solving, and communication [25-28], and 3) hands-ontraining on cyber ranges [29]. Cyber range is an interactive simulated representation of anorganization’s cyber infrastructure that includes their local networks, systems, tools, andapplications that provide a safe and legal environment for learning and testing Cybersecurityoperations [30].To address this

Conference Session

Teaching Strategies in Graphics

Collection

2006 Annual Conference & Exposition

Authors

Yi-hsiang Chang, Purdue University; Craig Miller, Purdue University

Tagged Divisions

Engineering Design Graphics

. Instead of lecturing on the basic principles, this course module consisted oftwo core exercises. The exercises were based on a computer simulation package available oncampus. With a two-hour brief of the domain knowledge, students learned how to manipulate themanikin in a virtual environment to accomplish a given task. After the students became familiarwith the major functions of the software, various assembly process plans from industry partnerswere distributed, where the individual students were to model and verify human operationsspecified in the worksheets. Through the “hands-on” experience and group discussion in aproblem-based learning setup, students were exposed to various topics of ergonomics in theworkplace. The topics included postures

Collection

2001 Annual Conference

Authors

Thankappan Pillai

physical principles. Page 6.288.3 Proceedings of the 2001 American Society of Engineering Education Annual Conference & Exposition Copyright © 2001, American Society for Engineering EducationThe Microcomputer Based Laboratory (MBL)3, 11 is one of the methods by whichstudents may achieve conceptual learning. Ronald K. Thornton of Tufts University hasbeen instrumental in the development of computer software for science education,including the Tools for Scientific Thinking (TST) project, and in the development oftesting materials to evaluate the knowledge of students in science concepts. He hasdemonstrated, "that the majority

Collection

2020 ASEE North Central Section conference

Authors

Nadir Yilmaz P.E., Howard University; Hyung D. Bae, Howard University

alsoinvestigated in the class by coupling different types of analysis to tackle challenging engineeringproblems. Students learn how to work on a multiphysics design project in a team through offlinemeetings, synchronous, and asynchronous communication tools (i.e., Slack and Blackboard).Two third of classes are held in a computer lab of the Department of Mechanical Engineering atHoward University. Some basic concepts/physics and CAE examples are covered during theclasses and students follow the examples on their workstations to practice. And one third of theclasses are performed based on distance learning class. All the learning materials for each classare provided online (e.g., online articles, online tutorials, lecture notes, etc.) for students’ self

Conference Session

Academic Success and Retention

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Olusola Adesope, Washington State University; Oluwafemi J. Sunday, Washington State University; Ebenezer Rotimi Ewumi, Washington State University; Angela Minichiello P.E., Utah State University; Muhammad Asghar P.E., Utah State University; Candis S. Claiborn, Washington State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Paper ID #33771Investigating Factors that Predict Academic Success in Engineering andComputer ScienceDr. Olusola Adesope, Washington State University Dr. Olusola O. Adesope is a Professor of Educational Psychology and a Boeing Distinguished Profes- sor of STEM Education at Washington State University, Pullman. His research is at the intersection of educational psychology, learning sciences, and instructional design and technology. His recent research focuses on the cognitive and pedagogical underpinnings of learning with computer-based multimedia re- sources; knowledge representation through interactive concept maps

Conference Session

Military and Veterans Division Technical Session 3

Collection

2019 ASEE Annual Conference & Exposition

Authors

Thomas E. Mertz, Kansas State University - Polytechnic Campus; William E. Genereux, Kansas State University - Polytechnic Campus; Troy Harding, Kansas State University - Polytechnic Campus; Tim Bower, Kansas State University - Polytechnic Campus; Katrina M Lewis; Michael Lee Oetken, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Military and Veterans

for Engineering Education, 2019 Developing a Studio Model Computer Curriculum for First Year Undergraduate StudentsAbstractThis paper describes what was learned while implementing a reinvented undergraduate computertechnology curriculum during the first two years of its rollout. The paper includes the activitiesof the freshman cohorts of computer students who were the first to experience the curriculumredesign.Perhaps the biggest paradigm shift in the new curriculum was the adoption of the studio model ofinstruction. Borrowed from other traditions such as art and architecture, the studio provides ahands-on approach to learning that is ideal for computing students; particularly for the largepercentage of

Collection

2003 ASEE North Midwest Section Conference

Authors

Fernando Rios-Gutierrez; Rocio Alba-Flores

Pocket PC: a Useful Tool in Electrical and Computer Engineering Courses Fernando Rios-Gutierrez, Rocio Alba-Flores Electrical and Computer Engineering University of Minnesota Duluth friosgut@d.umn.eduAbstractSince Fall 2001, freshman students attending the Electrical and Computer EngineeringDepartment at the University of Minnesota Duluth (UMD) have been integrated into a newhandheld computer technology program, which uses the Compact (HP) iPAQ device equippedwith wireless internet connections, as a learning tool in some of their courses. The mainmotivation to use the iPAQ handheld and implement the wireless access at UMD, was

Conference Session

Curricular Developments in Electrical and Computer Engineering

Collection

2022 ASEE Annual Conference & Exposition

Authors

Wei-Jer Han, Virginia Polytechnic Institute and State University

learning from something acquainted is easier than creating. Moreover, the bottom-up method requires a designer to inspect the intricate connection of logic components instead of writing text, which should improve learning effectiveness.1.2 – Method Two simple computer models will be discussed and simulated in Multisim in this paper. One is the multiple-cycle computer like CISC computers, and the other is the single-cycle computer like RISC computers. The model for a multiple-cycle computer is taken from the textbook in reference [9]. The model for a single-cycle computer is taken from the textbook in reference [10]. To compare their differences in HDL and Multisim, the single-cycle example will have both Verilog and Multisim

Conference Session

Curriculum Development and Applications

Collection

2009 Annual Conference & Exposition

Authors

Claude Villiers, Florida Gulf Coast University

Tagged Divisions

Engineering Design Graphics

the students have demonstrated that this approach is veryeffective in improving a student’s learning outcome, ability to work with others, design ability,and communication skills. Other schools could also use such an approach to increase studentparticipation and to improve student learning in engineering computer graphics courses.IntroductionThe challenge of maximizing student classroom learning within minimal time constraints is avery real one for the educator. Nowhere is this problem more apparent that in the field ofEngineering Computer Aided Graphics (AutoCAD). The following is the study plan I havesuccessfully used to maximize student learning by placing it in a real life context. Established in1997, FGCU is the newest public university

Collection

2000 Annual Conference

Authors

Oguz A. Soysal

their learning style the best. Many authors addinteractivity to their web courses by using chat and discussion sections, dynamic testing, andfeedback. There is no doubt that these techniques can make a virtual classroom environmenteven more interactive than some conventional classrooms. Nevertheless, an online technicalcourse can not be complete if students do not actively perform experiments and observe physicalphenomena.III. Computer Integrated ExperimentationThe term "computer integrated experimentation (CIE)" is used here to express that variouselements of an experiment such as equipment control, data collection; information processingand analysis are coordinated in the computer environment. In this context, CIE can beimplemented in the

Collection

2009 Pacific Southwest Section Meeting

Authors

Frederick Harris; Gordon Lee; Stuart H. Rubin; T. C. Ting; Billy Gaston; Gongzhu Hu

enabled individuals, small groups, and small countries to have an equal voice by providingas much access, visibility and opportunities as large businesses and advanced countries. One of the major impacts of computing is in the area of human learning, that is, cognitiveand logical inference activities that will inevitably change the way we learn, work and live [1].Lifelong learning will be the focus for long term and continuous economical development. In areport from the European Parliament and the Council on Key Competences for Lifelong    Proceedings of the 2009 American Society for Engineering Education Pacific Southwest Regional Conference

Conference Session

New Trends in ECE Education II

Collection

2016 ASEE Annual Conference & Exposition

Authors

Ronald F. DeMara, University of Central Florida; Navid Khoshavi, University of Central Florida; Steven D. Pyle, University of Central Florida; John Edison, University of Central Florida; Richard Hartshorne, University of Central Florida; Baiyun Chen, University of Central Florida; Michael Georgiopoulos, University of Central Florida; Ronald F. DeMara, University of Central Florida

Tagged Divisions

Electrical and Computer

and Computer Science at the University of Central Florida. His research interests lie in the areas of Machine Learning and applications with special emphasis on neural network and neuro-evolutionary algorithms, and their applications. He has published more than 70 journal papers and more than 180 conference papers in a variety of conference and journal venues. He has been an Associate Editor of the IEEE Transactions on Neural Networks from 2002 to 2006, and an Associate Editor of the Neural Networks journal from 2006 to 2012. He has served as the Technical Co-Chair of the IJCNN 2011.Dr. Ronald F. DeMara P.E., University of Central Florida c American Society for Engineering Education

Conference Session

Recruitment, Retention, and First-year Programs in ECE

Collection

2012 ASEE Annual Conference & Exposition

Authors

David Wilczynski, University of Southern California; Gisele Ragusa, University of Southern California; Michael Crowley, University of Southern California

Tagged Divisions

Electrical and Computer

careers? We intend to keep our advisory board informed about what we are doing and their feedback will tell us if we are succeeding. We often have students specifically mention that certain skills they have learned in class were important in their jobs. We expect more feedback from these students about how their team skills made them better teammates as employees and researchers.All of the above assessment is anecdotal or from surveys. We do some formal assessment. Allrequired computer science classes, including C3 and C4, use a methodology10 we designed forour ABET accreditation. The professors and their graders review all the work and the gradersfollow our ABET assessment procedure. That ABET assessment only tells us how the

Collection

2000 Annual Conference

Authors

Augustus K. Uht

Sessions 1526 & 2526 The URI Integrated Computer Engineering Design (ICED) Curriculum: Progress Report Augustus K. Uht University of Rhode IslandAbstractThe University of Rhode Island started the ICED curriculum in the Fall of 1997. The key featureof ICED is a substantial 2-3 year long project tying together important but normally disjointcomputer engineering concepts across the major. The students learn how to make criticalhardware/software tradeoffs with long-term implications. Courses in processor design, compilerdesign and networks are required, and