Paper ID #19090The Case for Epistemologically-Conscious Computer-Based Learning Envi-ronmentsMr. Petr Johanes, Stanford University Petr Johanes is currently a PhD candidate in Learning Sciences and Technology Design (LSTD) at the Stanford University Graduate School of Education. He holds a B.S. and M.S. from the Department of Materials Science at Stanford University and has experience teaching engineering courses as well as researching engineering education, especially in the context of online learning. Currently, Petr is building data-driven digital environments to investigate the role of epistemic cognition in learning
Paper ID #18994Entrepreneurial-Minded Learning in a Freshman Mini-project in Comput-ingDr. Danai Chasaki, Villanova University Danai Chasaki received a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece in 2006. She also received a M.S. and a Ph.D. degree in Electrical and Computer Engineering from the University of Massachusetts Amherst in 2009 and 2012 respectively. In 2012, she joined the Department of Electrical and Computer Engineering at Villanova University as an Assistant Professor. Before that, she was an Adjunct Instructor at Worcester Polytechnic Institute and
Paper ID #19692A Learning Trajectory for Developing Computational Thinking and Program-mingDr. Sean P. Brophy, Purdue University, West Lafayette (College of Engineering) Dr. Sean Brophy is a mechanical engineer, computer scientist and learning scientists. His research in engineering education and learning sciences explores how undergraduate engineering students develop skills in design, troubleshooting and analytical reasoning. He is particularly interested in how these skills develop through students’ interaction with technology.Prof. Tony Andrew Lowe, Purdue University, West Lafayette (College of Engineering) Tony
Paper ID #20134Combining Active Learning Approaches for Improving Computing CourseOutcomes at Minority-Majority InstitutionsDr. Debra Lee Davis, Florida International University, School of Computing and Information Sciences Dr. Debra Davis is an Instructor in the School of Computing and Information Sciences at Florida Interna- tional University. Her research interests emphasize interdisciplinary topics including understanding and improving: (1) Computer Science education, including increasing participation of women; (2) educational applications and techniques for online STEM learning; and (3) complex human-machine interactions
Paper ID #20509Introduction to Deep Learning: A First Course in Machine LearningProf. Yosi Shibberu, Rose-Hulman Institute of Technology Dr. Yosi Shibberu is professor of mathematics at Rose-Hulman Institute of Technology. He has taught undergraduate courses on data mining, machine learning and bioinformatics and computational biology. Dr. Shibberu recently spent a year at Jimma University, Ethiopia, as a Fulbright Scholar and is the current endowed chair for innovation in science, engineering and mathematics education at Rose-Hulman Institute of Technology. c American Society for Engineering
a world where computing and computing technologies are growing at an ever-increasing rate, students need meaningfully situated opportunities to learn how to thinkcomputationally. Defined as a creative way to approach tasks or problems using concepts,practices, and perspectives from computer science, computational thinking holds promise for alllevels of education, especially K-12 classrooms [1]. Efforts to advance computational thinking ineducation include increased attention to the dispositions that people display when engaging incomputational thinking [2]. The study described in this paper extends these efforts by examiningthe impact of a summer professional development institute on teachers’ computational thinkingdispositions. As
Associate Dean and Director of Summer Session at Stanford University (and pre- viously was the Director of Academic Programs at the Stanford Center for Professional Development). Before coming to Stanford he taught computer programming and electrical engineering for sixteen years at U.C. Berkeley and U.C. Davis. He has degrees in physics, math, history, and interdisciplinary studies, including a PhD in the history of science and technology. He also has developed a MOOC on ”Under- standing Einstein: The Special Theory of Relativity.” c American Society for Engineering Education, 2017 Adaptive Learning: The Premise, Promise, and PitfallsIntroductionIn a 2015 speech before the American
section. It is therefore helpful for student learning to incorporate into thecourse practical examples where students can use computer software packages like Matlab,Mathcad or PSpice to solve circuit problems. Several textbooks are available that includeexamples introducing students to use these computing and information technology tools. Forsome majors the circuits course is followed by a course in Signals & Systems where circuits areseen again as examples of systems.Introduction. Authors have taught introductory circuits classes as well as signals & systems,sensors, and digital signal processing courses where the use of information technology tools havehelped students, especially when dealing with abstract concepts such as circuit
students, industry, and thenation by providing more instruction in computational thinking at the undergraduate level.However, undergraduate programs in materials science and engineering typically saturate studentschedules with traditional content, leaving little margin for additional coursework focusingexclusively on development of computational skills. Instead, integrating computationalinstruction into traditional courses not only provides computational training, but also facilitatesimproved learning of the traditional content 14;15;21 . In the Department of Materials Science andEngineering (MatSE) at the University of Illinois at Urbana-Champaign (UIUC), a team offaculty has integrated computational curriculum into the core curriculum 15;16 . In
Paper ID #19770Fluidic channels in the classroom: Fabrication and integration in fluid me-chanicsMegan Miller, Montana State University Megan is a sophomore in Chemical Engineering at Montana State University. Her research interests include MEMS fabrication, microfluidics, and sputtering of thin film alloys.Mr. Chung-Hsuan Benjamin Huang, Department of Electrical and Computer Engineering, Montana StateUniversity Benjamin C.H. Huang received the Master of Science degrees from Drexel University in Philadelphia in 2014. Benjamin Huang is currently Microfluidics Scientist and Lithography Specialist at Montana State Univer
Paper ID #20596Successes and Lessons Learned in an Undergraduate Computational Lab Se-quence for Materials Science and EngineeringDr. Alison K. Polasik, Ohio State University Alison K Polasik received a B.S.E. degree in Materials Science and Engineering from Arizona State University in 2002, and M.S. and Ph.D. degrees from The Ohio State University in 2005 and 2014, re- spectively. She has been part of the adjunct faculty at Columbus State Community College, and was a full-time lecturer at OSU from 2013 until 2015. In 2015, she was hired as an assistant professor of practice in the Department of Materials Science and
Paper ID #19264Visualization as Effective Instructional and Learning Tools in the ComputerScience CurriculumDr. Mahmoud K Quweider, University of Texas, Rio Grande Valley M K Quweider is a Professor of Computer & Information Sciences at the U. of Texas at UTRGV. He re- ceived his Ph.D. in Engineering Science (Multimedia and Imaging Specialty) and B.S. In Electrical Engi- neering, M.S. in Applied Mathematics, M.S. in Engineering Science, and M.S. in Biomedical Engineering all from the University of Toledo, Ohio. He also holds a Bachelor of English and a Masters of Business Administration from the University of Texas at
Paper ID #18732No Excuses: Use of Simple Active Learning in Electrical and Computer En-gineeringDr. Samuel J Dickerson, University of Pittsburgh Dr. Samuel Dickerson is an assistant professor at the University of Pittsburgh Swanson School of Engi- neering. His general research interests lie in the area of electronics, circuits and cyber-physical systems. He is particularly interested in technologies in those areas that have biomedical applications. He has ex- pertise in the design and simulation of mixed-signal integrated circuits and systems that incorporate the use of both digital and analog electronics, as well as
Paper ID #18400Student Perceptions of Their Abilities and Learning Environment in LargeIntroductory Computer Programming CoursesDr. Laura K Alford, University of Michigan Laura K. Alford is a Lecturer and Research Investigator at the University of Michigan.Dr. Mary Lou Dorf, University of Michigan Mary Lou Dorf received a B.S. from Alma College (1967). She received a M.S. in mathematics (1969) and the Ph.D. (1990) in systems engineering both from the University of Toledo. In Jan 2002, she joined the Electrical Engineering and Computer Science Department at the University of Michigan as a Lec- turer. She has received multiple
Paper ID #17928Process Oriented Guided Inquiry Learning in Computer Science: The CS-POGIL & IntroCS-POGIL ProjectsMr. Clifton L Kussmaul, Muhlenberg College Clif Kussmaul is Associate Professor of Computer Science at Muhlenberg College. Previously, he was Visiting Fulbright-Nehru Scholar at the University of Kerala, Chief Technology Officer for Elegance Technologies, Inc., Senior Member of Technical Staff with NeST Technologies, and Assistant Professor of CS at Moravian College. He has a PhD in Computer Science from the University of California, Davis, master’s degrees in CS and Electro-acoustic Music from Dartmouth
Paper ID #19098Investigating Teacher’s Technological Pedagogical Content Knowledge in aCAD-enabled Learning EnvironmentDr. Chandan Dasgupta, Department of Computer and Information Technology, Purdue University, WestLafayette Dr. Dasgupta is a Postdoctoral research fellow at Purdue University. He has a PhD in Learning Sci- ences from the University of Illinois at Chicago (UIC) and MS in Human-Computer Interaction from Georgia Tech. His dissertation work focused on scaffolding students’ productive disciplinary engage- ment in engineering design activities using suboptimal models. His research interests include the use of
embedded system design, hardware-software interfacing, digital communication, networking, image processing, and biometrics, C++, Python, PHP and Java languages. He has a keen interest in pedagogy and instruction de- livery methods related to distance learning. He has a deep commitment to social justice and in achieving economic and educational equity.Dr. Jai P. Agrawal, Purdue University Northwest Jai P. Agrawal is a professor in electrical and computer engineering technology at Purdue University Northwest. He received his Ph.D. in electrical engineering from University of Illinois, Chicago, in 1991, dissertation in power electronics. He also received M.S. and B.S. degrees in electrical engineering from Indian
Paper ID #19018Group-Based Cloud Computing for Secondary STEM EducationDr. Anthony J Petrosino Jr, University of Texas, Austin Anthony Petrosino is a learning scientist and an associate professor of STEM education and the Eliz- abeth G. Gibb endowed fellow at The University of Texas at Austin. He was a seven-year member of the National Science Foundation (NSF) funded VaNTH (a consortium of Vanderbilt University, North- western University, University of Texas, and Harvard-MIT Health Sciences and Technology), ERC, and a principle investigator of a U.S. Department of Education funded PT3 (Preparing Tomorrow’s Teach- ers to
Paper ID #19102Assessment of Student Learning Experience in Two Exemplary EngineeringProjectsDr. Wookwon Lee, Gannon University Wookwon Lee, P.E. received the B.S. degree in electronic engineering from Inha University, Korea, in 1985, and the M.S. and D.Sc. degrees in electrical engineering from the George Washington University, Washington, DC, in 1992 and 1995, respectively. He is currently an associate professor and department chair of the Department of Electrical and Computer Engineering at Gannon University, Erie, PA. Prior to joining Gannon, he had been involved in various research and development projects in industry and
Paper ID #18042Using Information Gap Learning Techniques in Embedded Systems DesignEducationDr. J.W. Bruce, Mississippi State University J.W. Bruce is an Associate Professor in the Department of Electrical & Computer Engineering at Missis- sippi State University.Mr. Ryan A. Taylor, Mississippi State University Mr. Ryan Taylor is currently a doctoral candidate in the Department of Electrical and Computer Engineer- ing at Mississippi State University. He received his BSEE and MSEE from the University of Alabama, where his thesis centered on microcontroller education tools. His doctoral research focuses on asyn
Paper ID #18630Using MyEngineeringLab for Learning Reinforcement in a Mechanics 1: Stat-ics CourseDr. James E. Lewis, University of Louisville James E. Lewis, Ph.D. is an Assistant Professor in the Department of Engineering Fundamentals in the J. B. Speed School of Engineering at the University of Louisville. His research interests include paral- lel and distributed computer systems, cryptography, engineering education, undergraduate retention and technology (Tablet PCs) used in the classroom.Dr. Thomas D. Rockaway, University of Louisville Thomas D. Rockaway, Ph.D., P.E., is an Associate Professor in the Civil and
Paper ID #18254Multi-Lab-Driven Learning Method Used for Robotics ROS System Develop-mentProf. Chaomin Luo, University of Detroit Mercy Dr. Chaomin Luo received his Ph.D. in Department of Electrical and Computer Engineering at University of Waterloo, Canada in 2008, where he was awarded Postgraduate Scholarship (PGS) from the Natural Sciences and Engineering Research Council (NSERC) of Canada; received the Best Student Paper Presen- tation Award at the SWORD’2007 Conference, earned his M.Sc. in Engineering Systems and Computing at University of Guelph, Canada, and his B.Eng. degree in Radio Engineering from Southeast
development, and engineering education. He is coauthor c American Society for Engineering Education, 2017 Paper ID #17780of a best-selling introductory computer science and software engineering texts. Dr. Maxim has supervisedseveral hundred industry-based software development projects as part of his work at UM-Dearborn. c American Society for Engineering Education, 2017 Strategies for Delivering Active Learning Tools in Software Verification & Validation EducationImparting real world experiences is often a challenge due to both lack of effective active learningtools and
Paper ID #18647ECE Teaching and Learning: Challenges in Teaching Digital Signal Process-ingDr. S. Hossein Mousavinezhad, Idaho State University is the principal investigator of the National Science Foundation’s research grant, National Wireless Re- search Collaboration Symposium 2014; he has published a book (with Dr. Hu of University of North Dakota) on mobile computing in 2013. Professor Mousavinezhad is an active member of IEEE and ASEE having chaired sessions in national and regional conferences. He has been an ABET Program Evaluator for Electrical Engineering and Computer Engineering as well as Engineering Education
and I remember. Involve me and I learn.” This quote illustrates quite succinctly Mark Jupina’s pedagogy in teaching courses to undergrads. Since the 1990’s, Dr. Jupina has employed ”active learning” techniques both inside and outside of the classroom using various modalities, including the flipped-lab approach dur- ing the last five years. More recently, Dr. Jupina has also incorporated Entrepreneurial Minded Learning (EML) exercises into his sophomore and junior-level courses. c American Society for Engineering Education, 2017 “FLIPPED LAB” APPROACH IN ELECTRONICS DESIGN TO ENHANCE STUDENT LEARNING EXPERIENCE Department of Electrical & Computer
Paper ID #19699A Real-World Example for Student Learning: BTSU Cafeteria SimulationDr. Hassan Rajaei, Bowling Green State University Hassan Rajaei is a professor of computer science at Bowling Green State University, Ohio. His research interests include cloud computing, High Performance Computing (HPC), distributed simulation, parallel and distributed processing, communication networks, wireless communications, and virtual training envi- ronments. Rajaei received his Ph.D. from Royal Institute of Technology, KTH, Stockholm, Sweden, and he holds a M.S.E.E. from the University of Utah, and a BS from University of Tehran.Mr
Paper ID #19731Promoting Computational Thinking in children Using AppsMs. Hoda Ehsan, Purdue University, West Lafayette (College of Engineering) Hoda is a Ph.D. student in the School of Engineering Education, Purdue. She received her B.S. in me- chanical engineering in Iran, and obtained her M.S. in Childhood Education and New York teaching certification from City College of New York (CUNY-CCNY). She is now a graduate research assistant on STEM+C project. Her research interests include designing informal setting for engineering learning, and promoting engineering thinking in differently abled students in informal and formal
such software packages can be used to improve power engineering education.The advantages and disadvantages of the use of symbolic computations in power engineeringcourses are also discussed. Lessons learned are included and feedback and suggestions fromother educators are welcomed.1. Introduction, Power Engineering Education Issues and ChallengesExcellence in engineering education comes from innovative teaching and effective instructionalmaterials, requiring often changing the traditional way of delivering engineering courses. In thetraditional teaching methods, lecturers offer course materials in a classroom where studentslisten, take notes, copy materials, execute homework and complete assignments. Quite oftenlecturers fail to transfer
, including robotics, computerprogramming, agriculture, food science, unmanned aerial vehicles, clean energy, andconstruction science. Professional educators are paired with small groups (2-4) of pre-serviceteachers to run each class (maximum size of 18). This allows pre-service teachers to getpractical, hands-on experience, as well as to learn new STEM activities to include in theirown future classrooms. This also gives an excellent teacher to student ratio, providing a one-on-one learning experience for program participants. We focus, however, on measuring theimpact of two classes on the program participants. Each class employed similar pedagogyand the Scratch (2009)17 programming language. One relied heavily on computer sciencetheory and space
Paper ID #19132Secure Cloud Computing Infrastructure for K-12 EducationDr. Connie Justice, Indiana University Purdue University, Indianapolis Dr. Connie Justice is a Clinical Associate Professor in Computer and Information Technology (CIT) at the Purdue School of Engineering and Technology at Indiana University Purdue University Indianapolis (IUPUI) and a faculty member of the Center for Education and Research in Information Assurance and Security (CERIAS) at Purdue University. Professor Justice has over 20 years experience in the computer and systems engineering field. Professor Justice is a Certified Information