Paper ID #26508Exploring the Impact of a MATLAB Programming Interactive e-Textbook ina First-Year Engineering CourseDr. Krista M. Kecskemety, Ohio State University Krista Kecskemety is an Assistant Professor of Practice in the Department of Engineering Education at The Ohio State University. Krista received her B.S. in Aerospace Engineering at The Ohio State Uni- versity in 2006 and received her M.S. from Ohio State in 2007. In 2012, Krista completed her Ph.D. in Aerospace Engineering at Ohio State. Her engineering education research interests include investigating first-year engineering student experiences, faculty
AC 2008-2741: RELATING CONTINUOUS-TIME AND DISCRETE-TIME IN THECLASSROOMMark Hopkins, Rochester Institute of Technology Mark A. Hopkins is an Associate Professor in the Dept. of Electrical Engineering at Rochester Institute of Technology (RIT), Rochester, NY. He obtained his Ph.D. in Electrical Engineering from Virginia Tech in 1988. His main research interests are in the areas of modeling and controlling large flexible structures, and engineering education. Page 13.1030.1© American Society for Engineering Education, 2008 Relating Continuous-Time and Discrete-Time in the ClassroomAbstractIt never ceases to
Paper ID #27535Many Small Programs in CS1: Usage Analysis from Multiple UniversitiesJoe Michael Allen, University of California, Riverside Joe Michael Allen is a Ph.D. student in Computer Science at the University of California, Riverside. His research interests include STEM education, specifically educational games for building skills for college- level computer science and mathematics.Prof. Frank Vahid, University of California, Riverside Frank Vahid is a Professor of Computer Science and Engineering at the Univ. of California, Riverside. His research interests include embedded systems design, and engineering education
students’ interest in this course, which also improved their performance.1. IntroductionRobotics is becoming one of the most attractive majors in the Colleges of Technology because ofthe advantages in respect of applications, jobs, and prospects. Therefore, more and more Collegesof Technology have or are planning to create robotics program. Usually, as an interdisciplinaryfield, the robotics programs are provided by either Computer Engineering Technology or MET.However, students of Engineering Technology, especially MET, are facing two dilemmas whenproviding robotics courses:(1) Technology programs mainly focus on hands-on skills and there are fewer fundamentalrobotics-related courses in the MET curriculum than in electrical engineering
assignments by students.References [1] Esther Shein, "Should Everybody Learn to Code?," Communications of the Association for Computing Machinery, vol. 57, no. 2, pp. 16-18, February 2014. [2] Philip Guo, "Teaching Programming the Way It Works Outside the Classroom," Communications of the Association of Computing Machinery, vol. 56, no. 8, pp. 10-11, August 2013. [3] Manojkumar Deshpande, Pradeep Waychal, and Prashant Udawant, "Analysis of Improved Pedagogy Applied for Teaching courses related to Computer Programming for First Year Engineering Programs," in ASEE International Forum, Seattle, 2015. [4] H. Estrada and F. Aguiniga, "Analysis of Laminated Composites: A Web-based Computer Program Based on Classical Lamination
Paper ID #21466Library and Student Innovation Center: Makerspace!Dr. Steven F. Barrett, University of Wyoming Dr. Steven F. Barrett, P.E., received the B.S. in Electronic Engineering Technology from the University of Nebraska at Omaha in 1979, the M.E.E.E. from the University of Idaho at Moscow in 1986, and the Ph.D. from the University of Texas at Austin in 1993. He was formally an active duty faculty member and professor at the United States Air Force Academy, Colorado and is now professor of Electrical and Computer Engineering and associate dean for Academic Programs, College of Engineering and Applied Science
satellite design. Although my primary focus is with aerospace applications, I participate in many projects related to controls and heat transfer. Aside from my research, I focus heavily on the advancement of engineering education at the collegiate level. I work on revising and updating laboratory experiments to help improve student understanding of how concepts are applied and utilized. I also spend time writing design optimization MATLAB codes for various applications.Mr. Michael Golub, Indiana University-Purdue University of Indianapolis Michael Golub is the Academic Laboratory Supervisor for the Mechanical Engineering department at IUPUI. He is an associate faculty at the same school, and has taught at several other
onlineeducation offers a variety of resources and focuses primarily on teaching the fundamentaltheories and concepts, one disadvantage is the lack of hands-on experience and direct interaction[1]. Particularly in engineering education, where abstract engineering concepts ideally can bebetter understood by doing the related hands-on activities such as laboratory experiments. Tosolve the issue of the practical training shortage and the lack of hands-on experience with onlineeducation, VR takes the learning experience to a next level in terms of interaction andengagement. VR refers to an artificial world that replicates the real world environment generatedby computers, and that simulates the physical presence of a user in the virtual environment [2].With the
train talents equipped with a practical engineeringknowledge and skills to integrate theory with practice 2. Therefore, the curriculum ofengineering education must match the needs to resolve real-world sophisticated and authenticproblems. Moreover, the curriculum of engineering education needs to cultivate students’capability not only of deep perspective to a particular problem but also divergent thinking.This view is supported by the theory of Conceptual Learning and Development (CLD), whichsuggests that taught theoretical concepts should be linked to related engineering problems 2.With the rapid change in the structure of the competitive market, those talents who arecapable of embarking on independent design and skillful in innovation
exploits the power of on-line technologies to enable engineering –more generally, STEM– students to develop thoroughunderstanding of technical topics through collaborative learning. Our approach, as we show, has anumber of important advantages over most approaches to face-to-face collaborative learning. Wehave implemented a prototype web app, CONSIDER, based on our approach and used it in twoComputer Science and Engineering courses: a graduate level theory of programming languagescourse, and an undergrad principles of programming languages course. It was very well received,with 15 out of 22 students in the grad course, and 13 out of 21 students in the undergrad courseindicating, in a post-discussion survey, that the approach provided them a better
-efficacy was predicted by capabilities on databasefundamentals, basic knowledge of programming, and data analysis. Computer self-efficacy waspredicted by capabilities on basic knowledge of programming, communication /organizationtools, and web searching. Process modeling and design did not predict either self-efficacyconstructs.The study results provide support for the relationship among computing-related self-efficacy,gender, GPA, and specific computational capabilities. Given the importance of self-efficacy inlearning, these findings have implications for computer science and engineering education.Besides continuing to acknowledge gender differences in computing-related self-efficacy,training interventions to enhance specific computational
developer of several virtual worlds including the popular Toontown Online, one of the first 3D virtual worlds for children. More recently he was Vice President at Rebel Entertain- ment, a division of IAC, focused on social and mobile games. Joe has a Computer Science degree from the University of Virginia, where his research focused on virtual reality, user interface design, and developing Alice3D.Dr. Amy Strachman, codeSpark American c Society for Engineering Education, 2021 Using Visualizations of Students' Coding Processes to Detect Patterns Related to Computational ThinkingIntroductionComputational thinking (CT) has emerged as a key
California Page 22.233.1 c American Society for Engineering Education, 2011 Assessing Collaborative Undergraduate Student Wikis and SVN with Technology-based Instrumentation: Relating Participation Patterns to Learning 1. Case Study Objective and Collaborative Context Local industry representatives consistently point to the lack of large-project and team- based experience as a weakness in newly hired computer science graduates. To better prepare students for
Cornerstone projects that all students demonstrate andpresent at the end of the semester. Throughout the semester up to Cornerstone demonstrations,course instruction, activities, and deliverables have been designed in a dual-purpose manner, inthat they augment student practice of essential engineering skills (such as introductoryprogramming), while at the same time scaffolding progression towards Cornerstone Projectcompletion. Scaffolded lesson plans related to programming have been designed to exposestudents to two primary means of programming interface and methodology. These respectivelyinclude 1) Arduino-based platforms focused on instruction of algorithm-based programmingmethodology, and 2) Programmable Logic Controllers (PLCs) focused on
) Weak fundamental knowledge related electrical engineering (EE), computerscience (CS) and information technology (IT); (2) Difficulty in understanding the advancedconcepts and theories of robotics; (3) Limited robotics class hours. Therefore, devising an efficienteducational pedagogy for the robotics classes of the MET program is desirable.In order to overcome the above-mentioned problems, a project-based pedagogy for the roboticsprogram is devised and implemented in the Department of MET. There are three levels of roboticscourses ranging from ‘introduction’, ‘application’ to ‘advanced’. A series of projectscorresponding to different levels are designed and then are assigned to students. The students learnand practice the fundamental theories
Paper ID #26430Work in Progress: Adding the Internet of Things to a Freshman-level Engi-neering CourseDr. W. Davis Harbour, Louisiana Tech University Dr. Davis Harbour is a Senior Lecturer and Program Chair for Electrical Engineering at Louisiana Tech University. He earned his BS and MS degrees at the University of Oklahoma and he earned his PhD degree at the University of Arkansas. His primary teaching responsibilities are in the freshman and sophomore engineering courses, and his interests include microcontrollers, data acquisition systems, control systems, and engineering education. He is a member of ASEE and IEEE.Dr
Paper ID #24599Creation of an Online Video Tutorial Library at a State UniversityDr. Paul Morrow Nissenson, California State Polytechnic University, Pomona Paul Nissenson (Ph.D. Mechanical & Aerospace Engineering, University of California, Irvine, 2009) is an Associate Professor in the Department of Mechanical Engineering at California State Polytechnic Uni- versity, Pomona. He teaches courses in the thermal-fluid sciences, computer programming, and numerical methods. Paul’s current research interests involve studying the impact of technology in engineering edu- cation. He has served on the ASEE Pacific Southwest
Paper ID #16666Predictive Data Analytic Approaches for Characterizing Design Behaviors inDesign-Build-Fly Aerospace and Aeronautical Capstone Design CoursesDr. Krishna Madhavan, Purdue University - West Lafayette Dr. Krishna Madhavan is an Assistant Professor in the School of Engineering Education at Purdue Univer- sity. He is Co-PI and Education Director of the NSF-funded Network for Computational Nanotechnology (nanoHUB.org which serves over 330,000 global researchers and learners annually). Dr. Madhavan was the Chair of the IEEE/ACM Supercomputing Education Program 2006. In January 2008, he was awarded the US National
, University of California - Riverside Frank Vahid is a Professor of Computer Science and Engineering at the Univ. of California, Riverside. His research interests include embedded systems design, and engineering education. He is a co-founder of zyBooks.com. c American Society for Engineering Education, 2016 Will Students Earnestly Attempt Learning Questions if Answers are Viewable? Joshua Yuen, Computer Science & Engin., Univ. of California, Riverside (also with zyBooks) Alex Edgcomb, zyBooks, Los Gatos, California (also with UC Riverside) Frank Vahid, Computer Science & Engin., Univ. of California, Riverside (also with
her B.Sc. degree in computer engineering from Azad University, Ardebil, Iran, in 2012 and her M.Sc. degree in computer engineering, computer systems architecture from Science and Research Branch of Azad University, Tehran, Iran, in 2014. She is currently pursuing her Ph.D. degree in computer engineering at the University of Central Florida, Orlando, FL, USA. Her current research interests include brain-inspired computing, spin-based computing, and educational research involving digitally-mediated team learning.Dr. Wendy Howard, University of Central Florida Dr. Wendy Howard is the Program Director of the Pegasus Innovation Lab at the University of Central Florida, which is an incubator of experimental projects
Paper ID #25833Memory Retrieval Strategies to Help Retain STEM Content KnowledgeProf. Osman Yasar, State University of New York, Brockport Osman Yasar is an endowed professor and director of the CMST Institute at The College at Brockport, SUNY. He established the first undergraduate degree program in computational science in the United States, and his research interests include engineering and science education, computational pedagogy, fluid and particle dynamics, engine ignition modeling, and parallel computing. Yasar has a PhD in engi- neering physics and an MS in computer science from the University of Wisconsin
used toassess and improve educational practice within this, and likely similar, contexts [11], [12]. Theiterative process of DBR makes this research method similar to the classical engineering cycle inthat it begins with a challenge or question within an educational context, researchers develop ahypothesis, then design and test an intervention or product [13], [14]. That intervention is thenevaluated within the educational experience and further refined through subsequent iterations(Figure 2).Implementation will occur in undergraduate fluids engineering courses at Utah State Universityand the University of Colorado, Boulder and in STEM outreach events for diverse high schoolstudent at the Undersea Technology Apprentice Program (UTAP) hosted by
department of Computer Science and Engineering, Texas A&M University. His primary research interests span from computer systems, system modeling, and to the future generation of real-time, distributed systems. He is keen on developing innovative technologies to enable students in overcoming the common learning barriers, especially the STEM fields.Dr. Robert M. Capraro, Aggie STEM @ Texas A&M University Robert M. Capraro, is Co-Director of Aggie STEM, Director of STEM Collaborative for Teacher Pro- fessional Learning, and Professor Mathematics Education in the Department of Teaching Learning and Culture at Texas A&M University. Dr. Capraro’s expertise is applied research in school settings, program
AC 2007-495: PROGRAMMING GAMES TO LEARN ALGORITHMSTimothy Baibak, Kettering University Tim Baibak graduated Summa Cum Laude from Howell High School. He is a Computer Science Major at Kettering University and currently a Software Engineer Intern at Gabriel Roeder Smith and Company. Apart from programming, he enjoys tennis, fishing, and playing video games.Rajeev Agrawal, Kettering University Rajeev Agrawal received his BS and MS, both in Computer Science, from India and currently working on his PhD thesis at Wayne State University. Since 2001, he has been with Kettering University as a faculty member in Science and Math department. His research interests are Content Based Image Retrieval
developing both hardware and software course materials for the Mechatronics program at San Jose State University (SJSU) for more than a decade. He has been involved in operat- ing systems and driver development, mobile computing device development, DevOps and security, and authentication and encryption toolkits. He holds a BS in EE/CS from the University of California at Berkeley. c American Society for Engineering Education, 2020 Making the Move from C to Python With Mechanical Engineering StudentsAbstractWork is underway in the Mechanical Engineering Department at San José State University totransition the first course in computer programming (ME 30
assistant where she works with WV schools to inspire students to pursue a STEM career. c American Society for Engineering Education, 2020 STEM Ambassadress Program (Research-to-Practice) Strand: OtherIntroductionIn this paper we describe our experience with our “STEM Ambassadress Program,” in whichfemale university students in STEM Background serve as the STEM Ambassadresses of femalehigh school students. The project is sponsored by American Association of University Women(AAUW) and NASA WV Consortium. The ambassadresses, who graduated from high schoolsrecently, will mentor high school girls in their high
paper describes integration of Tablet PCs into a required first semester freshman yearengineering course called EngE 1024, "Engineering Exploration." Assessment results from in-class clicker-based responses and online course exit surveys are presented to assess theeffectiveness of Tablet PC-based instruction. Problems encountered and plans for futureenhancements are also briefly discussed. A summary table showing Tablet PC related instructionactivities in various other academic programs is also presented.2. EngE 1024, Engineering Exploration – BackgroundEngineering freshmen at COE are required to pass two freshman engineering courses duringtheir 1-year long freshman engineering (also called General Engineering (GE)) program. Thefirst course is
AC 2011-120: USING THE PROCESSING PROGRAMMING ENVIRON-MENT IN ENGINEERING EDUCATIONRyan J Meuth, University of Advancing Technology I graduated from UMR with a B.S. of Computer Engineering in 2005, after which I stayed at UMR (Now Missouri University of Science and Technology) to pursue and complete a Master’s and PhD in computer engineering. I worked for Dr. Donald C. Wunsch at the Applied Computational Intelligence Laboratory in the Department of Electrical and Computer Engineering. There I worked on the Learning Applied to Ground Robotics project, developing a ground vehicle that can not only navigate unknown terrain, but be able to learn from experience with the world. During the summers since 2006 I worked at
Paper ID #12018A Blocks-based Visual Environment to Teach Robot-Programming to K-12StudentsMr. Raghavender Goud yadagiri, NYU Polytechnic School of Engineering Raghavender Goud Yadagiri received his B.Tech degree in Electronics and Communication Engineering from JNTUH, Hyderabad, India, in 2011. After obtaining his B.Tech he worked as an Embedded As- sociate at Thinklabs Technosolutions Pvt. Ltd for two years. He is currently pursuing a M.S degree in Electrical and Computer Engineering with specialization in Computer Engineering. Raghavender con- ducts research in the Mechatronics and Controls Laboratory at NYU Polytechnic
students to explore and complete design challenges in afully immersive VR chemical processing plant.The chemical engineering students at Queen's University are required to take a capstone coursein their final year of the program. The goal of this class is to have the students use the skills theyhave learned over the course of their degree to complete a large comprehensive design project.This course assesses the design competency that the students have developed and their ability toapply those skills to an engineering project. Although the students will have seen the technicalconcepts needed to complete the work and have been exposed to design tools in earlier courses,for many, this will be the first time applying their engineering design skills