Paper ID #16595Will Students Earnestly Attempt Learning Questions if Answers are View-able?Joshua Sai Yuen, University of California - Riverside M.S.student in Computer Science at University of California, RiversideDr. Alex Daniel Edgcomb, University of California - Riverside Alex Edgcomb finished his PhD in computer science at UC Riverside in 2014. Alex has continued working as a research specialist at UC Riverside with his PhD advisor, studying the efficacy of web-native content for STEM education. Alex also works with zyBooks, a startup that develops interactive, web-native textbooks in STEM.Prof. Frank Vahid
instrumental in providing the behind the scenes support to all these courses. Mr. Gomez also collaborates in the Learning Lab team to explore and implement new educational strategies in the classroom. Mr. Gomez has a Masters Degree in Engineering Education from The University of Texas at El Paso. He has participated in the UTEACH summer program as a Technology Instructor in which he provided workshops on website design, movie creation and computer networking. In addition, Mr. Gomez teaches UNIV1301 Foundations of Engineering, were students learn academic, personal and engineering skills, among many other abilities that help them understand their opportunities and responsibilities as engineering students.Mr. Mike Thomas
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
learning materials for STEM courses. Alex is also a research specialist at UC Riverside, studying the efficacy of web-native content and digital education.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. He is a co-founder of zyBooks.com. c American Society for Engineering Education, 2019Animations for Learning: Design Philosophy and Student Usage in Interactive TextbooksAbstractAnimations have been used in science and engineering to facilitate student learning of difficultconcepts
my research by evaluating the intersection of innovative technology and learning.Dr. Robert Schaffer, Mission College Dr. Bob Schaffer is a professor and department chair of the Engineering Department at Mission College (Santa Clara, CA). He is also a lecturer at Santa Clara University where he teaches a variety of classes in the General and Electrical Engineering departments. His classes include Introduction to Engineering, Introduction to Computing for Engineers, STEM Outreach in the Community, and Digital Signal Process- ing.Ms. Varsha Reddy Kandi c American Society for Engineering Education, 2020Lessons Learned From Implementing Virtual Reality in an Introductory Engineering
Paper ID #29696Minecraft Learning System for Spatial Reasoning in Middle Grades LearnersDr. Bryce E. Hughes, Montana State University Bryce E. Hughes is an Assistant Professor in Adult and Higher Education at Montana State University, and holds a Ph.D. in Higher Education and Organizational Change from the University of California, Los Angeles, as well as an M.A. in Student Development Administration from Seattle University and a B.S. in General Engineering from Gonzaga University. His research interests include teaching and learning in engineering, STEM education policy, and diversity and equity in STEM.Dr. Nick Lux Lux
Paper ID #30309Novel Simulation-Based Learning Modules for Teaching Database ConceptsDr. Sabahattin Gokhan Ozden, Penn State Abington Dr. Ozden is an assistant professor of Information Sciences and Technology at Penn State Abington. He has a PhD and MS from Auburn University in Industrial and Systems Engineering and a B.Sc. in Software Engineering and double major in Industrial Systems Engineering from Izmir University of Economics. His research interests are warehousing, optimization, and information systems. Dr. Ozden has published in various journals/conferences including Computers and Operations Research. His website
AC 2007-943: ACTIVE LEARNING USING GUIDED PROJECTS IN AN UPPERYEAR ECE COURSEBrian Frank, Queen's University Brian Frank is an Assistant Professor in the Department of Electrical and Computer Engineering at Queen's University in Kingston, Ontario, Canada.John Carr, Queen's University John Carr is a Ph.D. candidate in the Department of Electrical and Computer Engineering at Queen's University in Kingston, Ontario, Canada. Page 12.172.1© American Society for Engineering Education, 2007
no solution is obtained. The user notices the counter incremented and the processcontinues until the final iteration. Fig. 3 shows the computation of the real and reactive buspowers resulting from the load dispatch and the line flows after convergence of the solution. Thestudent is able to modify the cost function parameters for any of the three generators and lineimpedances so as to observe how they impact the number of iterations, incremental cost, totalcost, and line losses.In addition to the flowchart algorithm this learning tool presents a display of power systemtransmission lines-flows, bus values and different entities connected on the bus in pictures (notsymbolic). The purpose is to further reinforce learning by helping the student
computational cost. The criticalelement of the project is that it exposes students to real tradeoffs and constraints in a way thatthat is significant to them (their grade is effected). The final lab time is used for a wrap upsession. The purpose of this session is to help all the groups benefit from the lessons learned byeach group. Each team has a chance to share their intuition and see how their results compare inperformance and hours logged from a comparison chart. • Lab 1 – LabVIEW Tutorial • Lab 2 – Second Order Sections • Lab 3 – Quantization Noise • Lab 4 – Integer Computation • Lab 5 – Coefficient Quantization • Lab 6 – Roundoff Noise • Lab 7 – Scaling and Overflow • Lab 8 – Fixed Point SSB • Project
AC 2007-350: THE USE OF ELLUMINATE DISTANCE-LEARNING SOFTWAREIN ENGINEERING EDUCATIONJohn Crofton, Murray State University Dr. Crofton earned his B.S., M.S., and Ph.D. in Physics and his B.E.E. in Electrical Engineering from Auburn University. Before coming to Murray State University in 1994, Dr. Crofton was a Senior Engineer at the Westinghouse Science and Technology Center in Pittsburgh. Dr. Crofton’s research work has focused on ohmic and Schottky contacts to compound semiconductors such as SiC and GaN. Additionally, Dr. Crofton is interested in applications of solid state UV sources for water purification.James Rogers, Murray State University Jamie Rogers is an assistant professor in the
Science foundation for its support for the reportedwork. This paper is based on a NSF CCLI (Course Curriculum and Laboratory Improvement) Page 23.807.19project, award number DUE-0837138. Any opinions, findings and conclusions orrecommendations expressed in this material are those of the authors and do not necessarilyreflect the views of the National Science Foundation.References[1] Atkinson, R. (1968). Computerized instruction and the learning process, American Psychologist, 23, pp.225- 239.[2] Suppes, P. and Morningstar, M. (1968). Computer-assisted instruction, Science, 166, pp.343-350.[3] Barron, B. J., Schwartz, D. L., Vye, N. J., Moore
Paper ID #6884Application of active learning in microwave circuit design coursesProf. Branimir Pejcinovic, Portland State University Branimir Pejcinovic received his Ph.D. and M.S. degrees from University of Massachusetts, Amherst and B.S. degree from University of Zagreb. He is a Professor at Portland State University, Electrical and Computer Engineering department. In his former role as Associate Chair for Undergraduate Education he has led department-wide changes in curriculum with emphasis on project- and lab-based instruction and learning. His research interests are in the areas of engineering education, semiconductor
.- 20007, Phone: (202) 403-5640, email: dsubedi@air.orgCharles Bunting, Oklahoma State University Charles Bunting is an Associate Professor of Electrical and Computer Engineering at Oklahoma State University. His research focus is electromagnetic modeling and microwave measurements. He is also interested in material characterization in the high frequency and microwave regime (500 MHz - 94 GHz) and the interaction of biological systems and electromagnetic fields. He is a Co-PI on a National Science Foundation grant to restructure undergraduate electrical engineering courses that focus on developing deeper levels of student learning. Address: 202 Engineering South, ECEN, Stillwater, OK 74078
Page 24.760.2members without revealing information to other groups.IntroductionAs students learning is widely accepted as key metric of student success, increased attention isbeing paid to the tools and techniques best suited to its successful adoption in classroomenvironment. It is very evident that technology seems to offer a natural and accessible way toadvance students learning [1]. ECAR has surveyed undergraduate students annually since 2004about technology in higher education and found that more and more students are using latesteducation technology in their education [2]. On an average student to computer ratio of 4:1 and ateacher and student population ready, willing and able to use technology (Figure 1). Yet despiteits availability
textbook problems.Students agree (91%) that they would explore the web module problems beyond what they areasked to and 86% feel that web module was more motivating than the textbook.IntroductionComputers have changed every aspect of our lives including engineering education. Thetraditional form of teaching can be complemented by the use of interactive multimedia based oncomputers. These systems can improve student learning by providing a high-quality learningenvironment and subsequently increase the educator's productivity1.Students that enter college today have become accustomed to computer games, digital gadgets,and web browsers that allow them to switch content at will. They have shorter attention spans,lower tolerance for repetition, and are
AC 2011-1805: USING GEARSET TO PROMOTE STUDENT AWARENESSOF LEARNING OBJECTIVESDavid R. Bowman, Clemson University David R. Bowman is a Lecturer in the General Engineering Program at Clemson University. His educa- tional background includes a B.S. and M.S. in Computer Engineering from Clemson University.Elizabeth A. Stephan, Clemson University Page 22.1620.1 c American Society for Engineering Education, 2011 Using GEARSET to Promote Student Awareness of Learning ObjectivesIn fall 2009, several new grade reporting modules were added to GEO (General
.; Bhattacharya, M.; Rayudu, R.; “Work In Progress: E-portfolios in Computer Science andEngineering Education.” FIE Conference Nov. 2006 http://www.fie-conference.org/fie2006/papers/1428.pdf4. Heinrich, E.; Bhattacharya, M.; Rayudu, R.; “Preparation for lifelong learning using ePortfolios.” EuropeanJournal of Engineering Education 32(6), 2007.5. Gulbahar, Y.; Tinmaz, H. “Implementing Project-Based Learning and E-Portfolio Assessment in anUndergraduate Course.” Journal of Research on Technology in Education, 38(3), 2006.6. ABET. “Criteria for Accrediting Engineering Programs.” 2009. http://abet.org/Linked%20Documents-UPDATE/Criteria%20and%20PP/E001%2010-11%20EAC%20Criteria%201-27-10.pdf7. Fink, L.D. Creating Significant Learning Experiences. San Francisco
retention and quality in an introductory Electronics and Network Analysiscourse offered at a university in northeastern United States. It also seeks to study the effects oftechnology-based instruction that complements conventional instruction. This progress, as wellas lessons learned in the first three years of Media Based Instruction in introductory engineeringcourses (namely Circuits, Electronics, Network Analysis, and C++ for Digital Computations) isevaluated with data. The efficacy of embedding conventional teaching with Media BasedInstruction is assessed.IntroductionThis paper explores the results of a study and feedback completed by students. The feedbackwas based on their outlook toward a media-based tool that was used in the instruction
AC 2010-541: PROJECT-BASED THEMATIC LEARNING THOUGH AMULTICOURSE MULTIDISCIPLINARY ROBOTICS PROJECTJames Shey, United States Naval Academy James Shey received the B.S. degrees in electrical engineering and computer science from the United States Naval Academy in 2003, the M.S. in electrical engineering degree from University of Maryland, College Park, in 2008, and the Master of Engineering Management degree from Old Dominion University in 2008. He is currently Active Duty Navy serving as a Senior Instructor in the Electrical and Computer Engineering Department at the United States Naval Academy and is a registered Professional Engineer in the state of Maryland.Thomas Salem, United States Naval
Paper ID #10043UnLecture: A Novel Active Learning Based Pedagogical Strategy for Engi-neering CoursesVignesh Subbian, University of Cincinnati Vignesh Subbian is an instructor/teaching assistant in the Department of Electrical Engineering and Com- puting Systems at the University of Cincinnati. His research interests include embedded computing sys- tems, medical device design and development, point-of-care technologies for neurological care, and engi- neering education.Dr. Carla C. Purdy, University of Cincinnati Carla Purdy is an associate professor in the School of Electrical Engineering and Computing Systems
Paper ID #7134Self-Regulated Learning and Blended Technology Instruction in a FlippedClassroomProf. Kenneth A Connor, Rensselaer Polytechnic Institute Kenneth Connor is a professor in the Department of Electrical, Computer, and Systems Engineering, where he teaches courses on plasma physics, electromagnetics, electronics and instrumentation, electric power, and general engineering. His research involves plasma physics, electromagnetics, photonics, en- gineering education, diversity in the engineering workforce, and technology enhanced learning. Since joining the Rensselaer faculty in 1974, he has been continuously
Paper ID #6854Ubiquitous and Smart Learning Paradigm for Preparing Qualified and SkilledEngineersMohamed Tawfik, Spanish University for Distance Education (UNED) M.Sc. degree in Electrical & Electronics Engineering from Spanish University for Distance Education (UNED), Madrid, Spain, and the B.Sc. degree in Electrical Engineering from Ain Shams University, Cairo, Egypt, in 2011 and 2008 respectively. Visitor researcher at the Faculty of Engineering & IT, University of Technology, Sydney (UTS), Australia, in 2012. He is an IEEE member since 2009. Actually, he is a research associate in Electrical & Computer
and confidence for each learning objective associated withan instructional module will be examined. A user’s knowledge of the motivations for atopic will also be examined in the pretest. See Figure 1. Questions are multiple-choice,but users can select more than one answer as possibly being true. Users then press the +/-buttons to indicate their confidence in each response. (Students who are new to thecontent of a given section may alternatively skip the pretest).Based on the results of the pretest, certain learning objectives will be recommended to theuser. Recommendations will be automatically computed based on both the user’s self-declaration of confidence as well as their performance on pretest questions. The mostcritical recommendations
AC 2012-3216: A PRACTICAL AND COMPREHENSIVE APPROACH OFASSESSING ABET OUTCOME ACHIEVEMENT IN COMPUTER SCI-ENCE AND COMPUTER ENGINEERINGDr. David Wilczynski, University of Southern California David Wilczynski has a long history at USC. He was the first Ph.D. graduate from theUSC Information Science Institute in 1975, where some of the initial work on Arpanet was done. His research specialty at the time was in knowledge representation. In 1984, he left USC for almost 20 years to be an entrepreneur. Most of his work was in manufacturing, both in Detroit and Japan. During that time, he worked on programming real-time systems using an agent methodology, which he now teaches in his CSCI 201 class. He returned to USC in
Graduate Group in Education at the University of California, Davis, where he is also the Director of the UC Davis Center for Integrated Computing and STEM Education (http://c-stem.ucdavis.edu) and Director of the Integration Engineering Laboratory. His current research includes developing computing and robotics technologies and integrate them into STEM education in both formal and informal settings for integrated learning. From 1989 to 1992, he was a Senior Engineer for robotic automation systems with the Research and Development Division, United Parcel Service. He has authored and coauthored more than 170 papers in refereed journals and conference proceedings. He holds two U.S. patents. He is the author of the book ”C
, and to take students to women in computing events. Dr. Villani has been active publishing and presenting these experiences in an effort to share within the research community and to ultimately broaden participation. Dr. Villani is the co-advisor of the Supporting Women in Computing Club where she has mentored many women students in the program. Dr. Villani is the recipient of the Chancellor’s Award for Teaching Excellence, 2012. Prior to joining FSC, Dr. Villani had a 15 year computer consulting career in the Risk Management and Insurance Industry.Dr. Lisa Cullington, Sacred Heart University Lisa Cullington, Ph.D. is an educational researcher with expertise in academic program development, learning outcomes and
in thebeginning of the freshman year, where students get real world experience on cyber-security,computer networks, programming and math. The theme of the mini-project is CSI (Crime SceneInvestigation); students form two groups, the “hackers” and the “defenders” and rotate roleswhile trying to solve various tasks. The teams learn the basics of password cracking, attack trace-back, network monitoring, phishing attacks etc.By the end of the seven-week period students are able to understand how popular operatingsystems are organized, how computer networks are formed, and the format in which informationis exchanged. They are also able to identify the traces computer users leave behind andprograming vulnerabilities that attackers can exploit
literature. Thisapproach develops multiple, pairwise linkages among strategic classes in the engineeringcurricula to promote curricular integration and help students see connections between their first-year courses and subsequent courses.Vertically integrated problem-based learning scenarios that link across courses are crucial to thismodel. Our first vertical effort focuses on MatLab, to integrate learning of this engineering toolin an introductory computing course with the solution of statics problems in an introductorymechanical engineering course. Pre-reform data show that students taking the introductorycomputing course do not see the importance of learning MatLab, because they do not seeconnections to their future courses. This has negative