Paper ID #16491Collaborative Learning Eliminates the Negative Impact of Gender Stereo-types on Women’s Self-ConceptDr. Jane Gage Stout, Computing Research Association Dr. Jane Stout is a social psychologist with expertise in quantitative methods, and social science and education theory. She directs the Center for Evaluating the Research Pipeline (CERP), which is the Computing Research Association’s research and evaluation center. Her research currently focuses on understanding the perspectives of underrepresented individuals in computing career tracks.Dr. Neslihan Burcin Tamer, Computing Research Association Dr. Burc¸in Tamer
, Macedonia, Poland, Romania, and Thailand. In addition, he teaches undergraduate and graduate courses for the Department of Engineering Education at Utah State University. c American Society for Engineering Education, 2016 Engineering Computer-Aided Drafting: A Hybrid Teaching ModelIntroductionThis “Work in Progress” describes a hybrid/blended teaching model using discipline-basedengineering assignments to enhance student learning in a computer engineering drafting course.Engineering communication skills are recognized as vital for all engineers to be successful intoday’s global economy [1]. Many engineering, education and governmental agencies, such as theAccreditation Board for Engineering and Technology
Paper ID #16679Introduction to Computing Technology: New Interactive Animated Web-Based Learning ContentProf. 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.Dr. Susan Lysecky, zyBooks, Inc.Dr. 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
career in industry. Her research interests include interdisciplinary project and team-based learning to promote gender equality in digital literacy and human and social aspects of software engineering.Mr. Hunter Lovvorn, Mississippi State University Hunter Lovvorn is a Teaching Assistant at Mississippi State University where he is pursuing a master’s degree in Computer Science with an emphasis in computer security. c American Society for Engineering Education, 2016 Building Computational Thinking Skills Using Robots With First Year Engineering StudentsAbstractThis research paper describes the transition of content in a first year experience (FYE) course
Paper ID #14496Use of ePortfolio as Integrated Learning Strategy in Computer IntegratedManufacturing Online CourseDr. Vukica M. Jovanovic, Old Dominion University Dr. Jovanovic received her dipl.ing and M.Sc. in Industrial Engineering from University of Novi Sad, Serbia. She received a PhD in Technology at Purdue University, while working as a PhD student in Cen- ter for Advanced Manufacturing, Product Lifecycle Management Center of Excellence. Dr. Jovanovic is currently serving as Assistant Professor of Engineering Technology, Frank Batten College of Engineering and Technology at ODU. She is teaching classes in the area
. Several interesting observed experimental results that demonstrated a relation between project based learning (PBL) and flip teaching through an online environment were presented in the end. These studied were facilitated by the mechanisms provided by Blackboard.KeywordsMobile computing; Security; Virtualization; Sniffing; encryption.IntroductionAndroid has reached over 1 billion active users, revealed by the senior vice president of Android.Android occupies 85% of market in 2014, according to report [1]. Due to many advantages of theAndroid platform, such as open source, Google support, advanced software programmableframework in popular programming language Java, Android has been and will remain as themost popular mobile device
responds to two primary research questions: What are the challenges and potential solutions for engaging students in learning with large size computer sciences courses? What are effective pedagogical approaches to teach computer science in large classes? Which pedagogical approaches positively impact students’ satisfaction and learning in large classes?2. the course: design and analysis of algorithmsAs previously described, findings in this paper come from our experience with agraduate level course on Design and Analysis of Algorithms. This course hasconsistently had highest registration levels within the Computer Science Department atour university because, not only is it a mandatory course for all
Paper ID #15474Employing Computer Optimization in Powerplant DesignRobert McMasters P.E., Virginia Military Institute Robert L. McMasters was born in Ferndale, Michigan, in 1956. He graduated from the U.S. Naval Academy, Annapolis Md, in June 1978 and completed Naval Nuclear Propulsion Training in August 1979. He subsequently served as a division officer on the USS Will Rogers (SSBN 659) until 1982. Following a 2 year tour as an instructor at the S1W prototype of the Nautilus, the worlds first nuclear powered ship, he resigned his commission as a Naval Officer and began working as a design engineer at K.I. Sawyer Air
. Barton holds a professional engineering license in the State Maryland. He is a member of the Board of Education, ASME. c American Society for Engineering Education, 2016 Developing an Interactive Computer Program to Enhance Student Learning of Dynamical SystemsAbstract Today’s students are quite accustomed to availing themselves of the latest in computerinnovations and technology to aid in learning and the attainment of student outcomes. Forexample, use of tablets and cellphones in the classroom to take notes, collaborate on projects andto search the web for information is commonplace. Likewise, advancements in computersoftware and tools afford in-depth simulations of both
Paper ID #14611Using Student-Developed Narratives to Improve Learning and Engagementin Computer Problem-Solving CoursesDr. Candido Cabo, New York City College of Technology Candido Cabo is a Professor in the Department of Computer Systems Technology at New York City Col- lege of Technology, City University of New York (CUNY). He earned the degree of Ingeniero Superior de Telecomunicacion from the Universidad Politecnica de Madrid (Spain) in 1982, and a Ph.D. in Biomedi- cal Engineering from Duke University (Durham, NC) in 1992. He was a post-doctoral fellow at Upstate Medical Center, State University of New York (Syracuse
computational science and engineering (e.g.,programming) can be difficult to learn. This study explores potential pedagogical strategies forthe implementation of worked-examples in the context of computational science and engineeringeducation. Students’ self-explanations of a worked-example are collected as in-code comments,and analyzed to identify effective self-explanation strategies. The results from this study suggestthat students’ in-code comments: (1) can be used to elicit self-explanations and engage studentsin exploring the worked-example; and (2) show differences that can be used to identify the self-explanation effect.Background and Motivation Several reports have suggested that there are not enough professionals with theappropriate
interviews) from Food,Industrial, Chemical, Logistics, Civil, Mechanical, and Computer Systems engineering students.Furthermore, to strengthen understanding of their PLEs, mappings were conducted throughinfographics, in which selected students (n=28) represented and explained their own PLEs,describing relevant formal and informal learning activities that they usually perform by means ofhis/her PLE.Results confirmed the influence of technological tools in learning experiences of engineeringstudents and the cognitive skills they have developed during their formal education. Studentsemphasized that with the use of technology they acquired new skills to communicate and thatthey have more control over assignments. Through mapping of their PLEs
received over 4500 Google citations in recent 5 years. Dr. Huang has received many research awards, including best paper awards, such as GCCCE2013 and national competition prizes, such as the first prize of ARM Code-O-Rama 2012. He is also a winner of the distinguished research award of the National Science Council, Taiwan in 2010 and 2013, respectively. Dr. Huang is in the editorial board of several SSCI- and SCI-indexed journals such as Interactive Learning Environments and Wireless Communications and Mobile Computing. He was the technical program chair of International Conference on Web-based Learning (2013) and the general chair of AECT International Conference on the Frontier in e-Learning Research 2013 (ICFER) and
Paper ID #14764Mobile Devices and Lifelong Learning: The Students’ PerspectiveProf. Susan L. Miertschin, University of Houston (CoT) Susan L. Miertschin, M.Ed., M.S.I.S., is an Associate Professor teaching in the Computer Information Systems program at University of Houston. Her teaching interests are in the areas of (1) information systems applications development and the complementary nature of back-end developer and front-end developer skill sets and (2) managing IT services. Her research interests are program and student as- sessment, the impact of instructional technology on student learning, and the improvement of e
, “Learning and understanding key concepts of electricity,” in Connecting research in physics education with teacher education, A. Tiberghien, L. Jossem, and J. Barojas, Eds. 1998.[2] A. H. Johnstone, “Why is science difficult to learn? Things are seldom what they seem,” J. Comput. Assist. Learn., vol. 7, pp. 75–83, 1991.[3] P. Licht, “Teaching electrical energy, voltage and current: An alternative approach,” Phys. Educ., vol. 26, pp. 272–277, Sep. 1991.[4] G. Biswas, D. Schwartz, B. Bhuva, S. Brophy, T. Balac, and T. Katzlberger, “Analysis of student understanding of basic AC concepts,” 1998.[5] G. Biswas, D. L. Schwartz, B. Bhuva, J. Bransford, D. Holton, A. Verma, and J. Pfaffman, “Assessing problem
Paper ID #15798Project-Based Learning for Electrical Engineering Lower-Level CoursesDr. Jiahui Song, Wentworth Institute of Technology Jiahui Song is an Assistant Professor in the Department of Electrical Engineering and Technology at Wentworth Institute of Technology. She received her B.S. in Automation and M.S. in Pattern Recognition & Intelligent Systems from Southeast University. She received her Ph.D. in Electrical and Computer Engineering from Old Dominion University.Dr. Douglas E. Dow, Wentworth Institute of Technology Douglas Dow is an Associate Professor in the department of Electrical Engineering and Technology
Paper ID #15359Gamification-Based Cyber-Enabled Learning Environment of Software Test-ingDr. Yujian Fu P.E., Alabama A&M University Dr. Yujian Fu is an associate professor of computer science department at Alabama A&M University. Her research interests fall in formal verification of cyber physical systems, behavioral analysis of mobile security, software architecture and design analysis of safety-critical and mission-critical systems. Her projects are supported by NSF, Air Force and DoD. She have several publications regarding to the research and educational projects.Dr. Peter J. Clarke, Florida International
Paper ID #15829Improving Learning of Digital Systems Concepts Using a Video GameDr. Karen L. Butler-Purry, Texas A&M University Karen Butler-Purry is the Associate Provost for Graduate Studies and Professional Studies as well as a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, College Station, Texas. Her research interests include computer and intelligent systems applications to power distribution systems and engineering education. She can be reached by e-mail at klbutler@tamu.edu.Mehmet Oren, Texas A&M University Mehmet Oren is a PhD student at the Department of
Paper ID #15693New Web-Based Interactive Learning Material for Digital DesignProf. 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.Dr. Alex Daniel Edgcomb, Zybooks Alex Edgcomb finished his PhD in computer science at UC Riverside in 2014. Alex has continued work- ing as a research specialist at UC Riverside with his PhD advisor, studying the efficacy of web-native content for STEM education. Alex also
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
Professor with the Department of Engineering Technology, Prairie View A&M University. His research interests include digital signal processing, image and video coding, and wavelets.Dr. Lin Li, Prairie View A&M University Lin Li is an associate professor of the Computer Science Department at Prairie View A&M University. He received his Ph.D. in computer science from the University of Nebraska at Lincoln in 2004. Before that, he received his B.S. and M.E. from Beijing Institute of Technology and Chinese Academy of Sciences in 1996 and 1999, respectively. His research interests are in Computer Networks, Machine Learning, and Computer Science Education.Dr. Xiaobo Peng, Prairie View A&M University
constructive fashion by first enabling deductive introduction of a topic from a general simplisticframework and then guiding the learner to inductively discover underlying STEM principles throughexperimentation.General TermsTechnological Pedagogical Content Knowledge, Computational Pedagogy, K-12 TeachingKeywordsDeductive and Inductive Reasoning, Cognitive Processes, Memory Retrieval1. IntroductionEducators structure training and curriculum based on learning theories of how the human mind works.Recent findings from empirical research by cognitive psychologists and neuroscientists have created acritical mass to change the way we prepare teachers and support their classroom instruction. Make it Stick,an ostensibly groundbreaking book published recently
various transform methods (Fourier,Laplace and z), modeling of signals & systems in time/frequency domains, discrete powerspectrum, energy spectral density, bandwidth, filter input/output relations, Parseval’s theorem,convolution, signal-to-noise ratio, and transfer (system) function. Software packages likeMATLAB, MATHCAD and WFilter are useful computer IT tools so problems, examples can bepresented in the class and simulations discussed after analytical results are obtained for a givenproblem. Our experience has shown that use of these tools will enhance student learning and isan effective way of teaching the subject.I. Introduction. In our schools we have offered a Signals & Systems course with pre-requisitesof circuits I & II as
intensive, hands-on, motivationalexperience where each student would build, program, and develop the interface between theprogramming board and the robot hardware. We hoped that along the way the students wouldlearn about different engineering fields, computer science, and also the basics of computerprogramming and interfacing. The course concluded with a robot competition. Studentscompeted to see which robot could go through an unknown maze without bumping into mazewalls in the shortest time. The course objectives included: 1) Take the mystery out ofengineering and computing, 2) Show that engineering and computer science is fun and exciting,3) Demonstrate that engineering is for both women and men, 4) Emphasize hands-on, learn bydoing exercises
Engineering Program. Her interests include foster STEM enthusiasm, and technology innovation. c American Society for Engineering Education, 2016 Attracting Students to Programming via Physical ComputingAbstract:College computing programs sometimes use hands-on outreach activities to introduce pre-college students to their discipline. These programs should ensure that the activities employedwill engage the interest of participants and spark a desire to learn more. Programming is anessential skill of most, if not all, computing programs, yet it is also a subject that tends to makestudents shy away from the discipline. By selecting tools that make the value of programmingobvious, and the process of learning
Paper ID #15674Integrating Computer Engineering Labs with a ”Sound Theme”Dr. Pong P. Chu, Cleveland State University c American Society for Engineering Education, 2016 Integrating Computer Engineering Labs with a “Sound Theme”1. Motivation Recent engineering education studies call for change to enhance student learning and to betterprepare graduates to meet the new challenge1,2,3. A good engineer should have a deepunderstanding of a domain and can apply the knowledge to solve problems4. This requires twotypes of practices – the “component skill,” which is the knowledge of a specific domain, and the“integration skill
2016 ASEE Rocky Mountain Section Conference Macroethics Education in Engineering and Computing Courses Angela R. Bielefeldt1, Daniel Knight1, Christopher Swan2, Nathan Canney3 1 University of Colorado Boulder, 2Tufts University, 3Seattle UniversityAbstractFor engineering to reach its full potential to benefit society, students must be prepared to engagein broad considerations of macroethical issues, including the collective responsibility of theprofession toward issues such as sustainability, poverty, and bioethics. This research exploredthe extent to which faculty report educating engineering and computing students to considermacroethical issues in their
Paper ID #16625Ethical Issues in Computing: Student Perceptions SurveyDr. Ali Salehnia, South Dakota State University Professor of Computer Science, South Dakota State University. Computer Science Faculty since 1982. Published more than 40 peer reviewed papers. Supervised more than 30 Master’s Degree thesis and research/design papers. Served on more than 60 Master’s and Ph.D. students’ graduate committees.Shieva Salehnia c American Society for Engineering Education, 2016 Ethical Issues in Computing: Students’ Perceptions Survey Ali Salehnia
Paper ID #14692Alternate Assessments to Support Formative Evaluations in an AsynchronousOnline Computer Engineering Graduate CourseMs. Ritushree Chatterjee, Iowa State University Ritushree Chatterjee is an Instructional Development Specialist working at Engineering-LAS Online Learning at Iowa State University. She did her undergraduate in Chemistry from Delhi University, In- dia and subsequently received her MS in Environmental Chemistry from Iowa State University. She received her second MS in Education with specialization in Curriculum and Instructional Technology and her Instructional Design certificate from Iowa