Paper ID #6696Computer Aided Design: Learning Style Preference Effect onDr. Grant Crawford, U.S. Military Academy Colonel Dr. Grant Crawford is currently the director of the Mechanical Engineering Program at the United States Military Academy, West Point, New York. He graduated from West Point in 1985 with a bachelor of science in Mechanical Engineering. He earned a master of science in Aerospace Engineering from the Georgia Institute of Technology in 1994 and a Ph.D. in Aerospace Engineering from the University of Kansas in 2004. He has taught courses in aeronautics, thermal-fluid systems, heat transfer, computer
important software engineering concepts, suchas iterative and incremental development (IID) 9, with programming. As Reichlmayr 10 explains,at the Rochester Institute of Technology, IID is taught to sophomore computer science and ECEstudents, who have already learned programming. The approach proposed here has been usedsuccessfully, as evidenced by student, peer, and self assessments, to teach a large and diversegroup of Civil, Chemical, Electrical & Computer, and Mechanical Engineering students.2. Procedural C++ with RobotsAlthough once taught by the current Dean of Engineering, ENCMP 100 lecture sections weretaught exclusively by 2 Faculty Service Officers (FSOs) in the years preceding the 2008–9academic year. According to the University, FSOs
worked for Ronin Entertain- ment as Graphics Software Engineer known for Star Wars: Force Commander and Bruce Lee Quest of the Dragon. He is the author of Unreal Game Development, a popular book used for teaching game de- velopment skills for high school students. He has given numerous talks on using games in the class room for enhancing math and science learning. He is currently researching on how to improve learning of math word problems using games. Page 23.889.1 c American Society for Engineering Education, 2013 Creating and Validating a Computing Self-Efficacy
Paper ID #6930Impact of Internet Use on the Academic Advancement of Engineering Stu-dentsDr. Hoda Baytiyeh, American University of Beirut Dr. Hoda Baytiyeh holds a B.E. in Computer Engineering and M.S. in Computer Science. She has earned a Ph.D. in Instructional Technology from the University of Tennessee, Knoxville. She is currently an assistant professor in the Education Department at American University of Beirut where she teaches courses related to the integration of technology in education. Her research interests include Engineering Education, ubiquitous computing using Open Source Software, and online learning
Paper ID #6251A Learning Outcomes Assessment Level Dashboard Based on Standard Ter-minologyDr. Khalid W Khawaja, American University in Dubai Dr. Khawaja is currently the associate dean of the School of Engineering and an associate professor of Computer Engineering at the American University in Dubai. In his tenure at AUD, he spearheaded ABET and UAE MOHESR accreditation of various graduate and undergraduate programs. He is an established expert on the use of Java technologies in enterprise applications. His research interest is in the area of Enterprise Computing and Architecture and its usage in Education Systems
professor of computer and information technology and chair of the Department of Computer, Information, and Graphics Technology in the Purdue School of Engineering and Technology, Indiana University-Purdue University, Indianapolis. She is a fellow of the Mack Center at Indiana University for Inquiry on Teaching and Learning and an editor of the Journal of Scholarship of Teaching and Learning. Her research focuses on the scholarship of teaching and learning related to learning with technology. Page 23.970.1 c American Society for Engineering Education, 2013 Podcast
instrument, studentsentered a four digit identification code that was created and distributed by the course instructor.The code was used during data analysis to match multiple surveys and course grades fromrespondents. The resulting data allowed the evaluation team to conduct the analyses required totest the relationships in the 4P model. We conducted both qualitative and quantitative analysis tofind out the effectiveness of the serious game. The detailed quantitative analysis results will bediscussed in the journal paper titled "Teaching Engineering Design Principles through a SeriousGame," and we are planning to submit this to the Computers in Education(CoED) journal. Somepreliminary qualitative results are presented here.ResultsStudents learned
Paper ID #6113Effective Collaborative Inquiry-based Learning in Undergraduate ComputerNetworking CurriculumDr. Jianyu Dong, California State University, Los AngelesDr. Huiping Guo, California State University, Los Angeles Page 23.463.1 c American Society for Engineering Education, 2013 Effective Collaborative Inquiry-based Learning in Undergraduate Computer Networking CurriculumAbstractIn 2010, California State University Los Angeles (CSULA) received a CCLI grant from NSF toexplore a good solution to
Paper ID #8090Integrating Online Identity Management Tools in a Complete Social MediaLiteracy Curriculum for Engineering and Technology StudentsDr. Mihaela Vorvoreanu, Purdue University, West LafayetteGeovon Andre Boisvenue, Purdue University Geovon Boisvenue is a graduate student at Purdue University. He researches technology innovation and entrepreneurship, human-computer interaction, and social media marketing and analysis.Mr. Francisco Javier Portela IIAnna Bao Page 23.778.1 c American Society for
Paper ID #8148A Performance Assessment Framework for Measuring Online Student Learn-ing OutcomesDr. Petronella A James, Morgan State UniversityDr. Craig J. Scott, Morgan State UniversityDr. Yacob Astatke, Morgan State University Dr. Yacob Astatke completed both his Doctor of Engineering and B.S.E.E. degrees from Morgan State University (MSU) and his M.S.E.E. from Johns Hopkins University. He has been a full time faculty member in the Electrical and Computer Engineering (ECE) department at MSU since August 1994 and currently serves as the Associate Chair for Undergraduate Studies. Dr. Astatke is the winner of the 2012- 2013
difference in student performancebecause of the open-resource nature of the on-line quizzes and assignments. For both quizzes andexercises, students had a full week to complete each with open notes/lecture/resources. Theywere only asked not to discuss the quizzes and exercises amongst themselves. Thus, studentswho had not committed class concepts to memory still had the ability to look them up. Furtherwork could utilize proctored, time-limited exams to better ascertain differences in learning.References:1. Liu, M. and M. Reed. “The Relationship Between the Learning Strategies and Learning Styles in a HypermediaEnvironment.” Computers in Human Behavior. Volume 10, Issue 4, Winter 1994, Pages 419–434.2. A. Azemi. “Designing an Effective Distance
experience (Doctoral dissertation, Drexel University).3. Minocha, S., & Sharp, H. (2004). Learner-Centered and Evaluation of Web-Based E-Learning Environments. The 7th HCI Educators Workshop: Effective Teaching and Training in HCI. Preston, United Kingdom.4. Ssemugabi, S., de Villiers, M.R. (2010). Effectiveness of heuristic evaluation in usability evaluation of e- learning applications in higher education. South African Computer Journal, 45, 26-39.5. Cook, D.A., & Dupras, D.M. (2004). A practical guide to developing effective web-based learning. JGIM, 19, 698-707.6. Hoyle, S., Bruton, K., Peres, S.C., & Gutierrez, T. (2012). Usability of an Interactive Educational Website for Statistics. Proceddings of the Human Factors and
University, Orem, Utah. He received his MS and PhD in Computer Science from University of Oklahoma, Norman, Oklahoma. His research focuses on diverse areas such as: Database Design, Data Structures, Articial In- telligence, Robotics, Computer Integrated Manufacturing, Data Mining, Data Warehousing and Machine Learning. Page 23.316.1 c American Society for Engineering Education, 2013 Computational Intelligence in the Undergraduate Computer Science and Engineering CurriculaAbstractComputational Intelligence (CI) is the study of adaptive mechanisms to enable or
Paper ID #8010Using Programming to Strengthen Mathematics Learning in 9th Grade Al-gebra ClassesDr. Eric A Freudenthal, University of Texas, El Paso Eric Freudenthal is an Associate Professor of Computer Science.Dr. Kien H. Lim, University of Texas at El Paso Dr. Lim’s research interests are on students’ problem-solving disposition and instructional strategies to advance their ways of thinking. Dr. Lim is particularly interested in impulsive disposition, students’ propensity to act out the first thing that comes to mind. Dr. Lim’s research goal centers on helping stu- dents advance from impulsive disposition to analytic
Paper ID #5701Service Learning: Industrial Embedded Systems CourseDr. 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
Paper ID #7252A Computer-Controlled Biodiesel ExperimentDr. William M. Clark, Worcester Polytechnic Institute William Clark is an associate professor in the Chemical Engineering Department at Worcester Polytechnic Institute. He holds a B.S. from Clemson University and a Ph.D. from Rice University, both in Chemical Engineering. He has taught thermodynamics, separation processes, and unit operations laboratory for over 25 years. In addition to research efforts in teaching and learning, he has conducted disciplinary research in separation processes.Mr. Nicholas Janeiro Medeiros, Worcester Polytechnic InstituteDonal James
Paper ID #6378Colombian Elementary Students’ Performance and Perceptions of Comput-ing Learning Activities with ScratchMr. Camilo Vieira, Eafit Master of Engineering from Universidad Eafit. Doctoral student in Computer and Information Technology at Purdue University. Research interests include Computing Education, Computational Thinking and Educational Technologies.Dr. 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
Paper ID #7035Work in Progress: Computational Modeling of Biomedical Devices with Ac-tive Learning StrategiesDr. Tom Merrill, Rowan University Dr. Tom Merrill’s research interests include energy systems, biotransport modeling, and medical de- vices. Prior to Rowan University, Dr. Merrill worked for thirteen years at a number of places including United Technologies Carrier, Abiomed, Wyeth Research, MicroDose Technologies, and at a medical de- vice start-up company called FocalCool. He received his degrees in Mechanical Engineering from Penn State (Ph.D.), the University of Michigan (M.S.), and Bucknell University (B.S.). He
Paper ID #6114Lab and Team Project Development for Engineering Problem Solving usingMATLAB, with Emphasis on Solar Power and Engineering for SustainabilityMr. Stanley W. Hsu, University of California, Davis Stanley Hsu received a B.S. degree from University of California, Los Angeles in 2006 and an M.S. degree from University of California, Davis in 2011, both in Electrical Engineering. He is currently pursuing a Ph.D. in Electrical & Computer Engineering at UC Davis. His research is in the area of low power mixed- signal integrated circuits for energy harvesting sensor applications. He is also interested in high-speed
Paper ID #6344Hands-on Active Learning in Fiber Optics CourseDr. Lihong (Heidi) Jiao, Grand Valley State University Dr. Jiao is an Associate Professor in the Padnos College of Engineering and Computing at Grand Valley State University. Her areas of interest include semiconductor device fabrication and characterization, nano-materials, nano-devices, fiber optics, and nanotechnology education. Her research activities involve inorganic/organic solar cells, organic light emitting diodes, and MEMs/NEMs for sensor applications
Paper ID #7142An Associative Based Approach to Analyzing an Online Learning Environ-mentMs. Bahareh Azarnoush, Arizona State University BAHAREH AZARNOUSH is a PhD student at the School of Computing, Informatics, and Decision Sys- tems Engineering, Arizona State University, PO Box 878809, Tempe, AZ 85287-8809, bazarnou@asu.edu. Her research interest is statistical learning.Dr. Jennifer M Bekki, Arizona State UniversityDr. Bianca L. Bernstein, Arizona State UniversityDr. George C Runger, Arizona State University Page 23.154.1
. In response, thesecond set of videos will contain more live action video clips, animations, and “pen tableting,”which allows us to sketch images and graphics digitally, as if using a pencil and paper. In thesecond set of videos, all mathematical computations and simple drawings will be done using apen tablet. Students commented they really appreciate the pen tablet videos, especially whendealing with mathematical content. Page 23.1347.11In the first 24 videos, we tried to adhere to Mayer’s Redundancy Principle—written text shouldnot duplicate narration, however, we did not always succeed. For example, the intended learning outcomes and
Paper ID #7137Work-in-Progress: The Impact of MatLab Marina - A Virtual Learning En-vironment on Student Learning in a Computing for Engineers CourseDr. Priya T Goeser, Armstrong Atlantic State University Dr. Priya T. Goeser is an associate professor of Engineering Studies at Armstrong Atlantic State Univer- sity in Savannah. She received her Ph.D. in Mechanical Engineering from the University of Delaware. Her current research interests are structural health monitoring, functionally graded materials and innovative teaching methods in engineering education.Dr. Wayne Johnson, Armstrong Atlantic State UniversityDr. Shonda L
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
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
design education. Page 23.1093.1 c American Society for Engineering Education, 2013 Student Attention in Unstructured-Use, Computer-Infused Classrooms1. IntroductionThe number of computer-infused classrooms is growing due to an increasing number ofengineering programs requiring students to purchase personal computers1. As classroominstructors, we have stood before the sea of computers and wondered, "How many students aretaking notes?" "How many students are playing on Facebook?", and, ultimately, "Are laptopsaiding or hindering student learning?". We are not alone in our questions. As evident
Paper ID #6506Analysis of Contextual Computer-aided Design (CAD) ExercisesMrs. Elif Ozturk, Texas A&M UniversityDr. Bugrahan Yalvac, Texas A&M University Dr. Bugrahan Yalvac is an associate professor of science education in the Department of Teaching, Learn- ing, and Culture at Texas A&M University, College Station. He received his Ph.D. in Science Education from Pennsylvania State University in 2005. Prior to his current position, he worked as a learning sci- entist for the VaNTH Engineering Research Center at Northwestern University for three years. Yalvac’s research is in STEM education, 21st century skills