Paper ID #31586A literature based perspective towards learning and pedagogy ofComputational ThinkingMs. Huma Shoaib, Purdue University Huma Shoaib is an engineering education graduate student at Purdue working with INSPIRE. Her research interests are; identifying computational thinking patterns in engineering students and underrepresentation of women in engineering.Dr. Sean P Brophy, Purdue University-Main Campus, West Lafayette (College of Engineering) Dr. Sean Brophy is an engineer, learning scientist and educator. His research in engineering education and learning sciences explores how students think with technology
involving the development of online assessments for computer- based testing and creation of collaborative programming activities for computer science classes. She is also involved in a project that aims to create a software that facilitates collaborative problem-solving ac- tivities in classrooms, through which both the instructors and students learn more about collaboration skills. Silva is very passionate about teaching and improving the classroom experience for both students and instructors. She has been included in the List of Teachers Ranked as Excellent five times and has received the Engineering Council Outstanding Advisor Award every year since 2014.Eric G Shaffer, University of Illinois at Urbana-Champaign Eric
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
enhance the learning experiencefor our students. While good teaching in no way justifies a lack of student effort to learnthe material, good teaching does inspire students to want to know more about a topic. Aseries of strategic questions were to be addressed when putting these seminars togetherwhich in turn provided the framework for implementation: Why should someone come to Baylor University to study engineering or computer science (instead of other options for the same degree)? What is the importance of teaching in the current Baylor culture (i.e. what is considered the teaching strength of Baylor University)? What will be the role of academic teaching in the future? What is the importance of teaching in
of Western Ontario and is an IEEE member and a registered Professional Engineer of Ontario. He taught at the University of Western Ontario and is currently Assistant Professor at McMaster University, Department of Electrical and Computer Engineering. Page 14.516.1© American Society for Engineering Education, 2009Effective criteria for teaching and learningNew faculty as well as experienced faculty may sometimes face challenges concerningteaching evaluations. Student perception of what is taught and what is learned may besignificantly different from the instructor’s perception and intention. This may become aproblem, since
AC 2007-523: SELF GRADING FOR IMPROVED LEARNINGMelani Plett, Seattle Pacific Univ Melani Plett is an Associate Professor at Seattle Pacific University. Her research interests include engineering education, non-stationary signal processing, biomedical engineering and Christian women engineersDon Peter, Seattle Pacific University Don Peter is an Associate Professor at Seattle Pacific University. He is particularly interested in discovering ways to improve teaching and learning in electronics. Page 12.1263.1© American Society for Engineering Education, 2007 Self Grading
Paper ID #19411Self-Assessment to Improve Learning and EvaluationDr. Edward F. Gehringer, North Carolina State University Dr. Gehringer is an associate professor in the Departments of Computer Science, and Electrical & Computer Engineering. His research interests include computerized assessment systems, and the use of natural-language processing to improve the quality of reviewing. He teaches courses in the area of programming, computer architecture, object-oriented design, and ethics in computing. c American Society for Engineering Education, 2017 Self-Assessment to Improve Learning and
Paper ID #19944Profiles of Participation Outcomes in Faculty Learning CommunitiesDaria Gerasimova, George Mason UniversityDr. Margret Hjalmarson, George Mason University Margret Hjalmarson is an Associate Professor in the Graduate School of Education at George Mason University and currently a Program Officer in the Division of Research on Learning in Formal and Infor- mal Settings at the National Science Foundation. Her research interests include engineering education, mathematics education, faculty development and mathematics teacher leadership.Prof. Jill K. Nelson, George Mason University Jill Nelson is an associate
Communications Concentration at University of Southern Maine, Gorham, ME 04038 Research Interests: Computer Graphics, Technology, Communication Technologies, Human User Inter- face, Graphic Design, Cognitive Ergonomics, Interactivity, and Technology in Education Page 24.975.1 c American Society for Engineering Education, 2014 Pedagogy Including Differentiated Instruction That Enables Student LearningThe participants populating our schools are becoming more diverse. They are coming fromdifferent cultures and have different learning styles. They also have different
served as elected co-chair of the Science & Technology Taskforce of the National Women’s Studies Association, and as a Postdoctoral Research Officer at the Centre for Informal Learning and Schools (CILS) at King’s College, University of London. Her graduate training is in Science & Technology Studies and Women’s Studies at Virginia Tech.Dr. Michael Haungs, California Polytechnic State University Michael Haungs is an Assistant Professor in the Computer Science Department at California Polytech- nic State University. He received his B.S. degree in Industrial Engineering and Operations Research from the University of California, Berkeley, his M.S. degree in Computer Science from Clemson Uni- versity, and his
Paper ID #25335Progressive Use of Active Learning in Electrical Engineering CoursesDr. Ahmed Dallal, University of Pittsburgh Dr. Dallal is an assistant professor at the department of electrical and computer engineering, Unversity of Pittsburgh, since August 2017. Dr. Dallal primary focus is on education development and innovation. His research interests include biomedical signal processing, biomedical image analysis, and computer vision, as well as machine learning, networked control systems, and human-machine learning.Dr. Renee M. Clark, University of Pittsburgh Renee M. Clark is a research assistant professor of
Paper ID #6340Instilling the Necessity of Lifelong Learning using Article ReviewsDr. Walter W Schilling Jr., Milwaukee School of Engineering Walter Schilling is an Assistant Professor in the Software Engineering program at the Milwaukee School of Engineering in Milwaukee, Wis. He received his B.S.E.E. from Ohio Northern University and M.S.E.S.and Ph.D. from the University of Toledo. He worked for Ford Motor Company and Visteon as an embedded software engineer for several years prior to returning for doctoral work. He has spent time at NASA Glenn Research Center in Cleveland, Ohio, and consulted for multiple embedded systems
engagement of all students enrolled in our seminar.References[1] R. M. Lima, P. H. Andersson, and E. Saalman, Active Learning in Engineering Education: a (re) introduction. Taylor & Francis, 2017.[2] D. Schon, “The reflective practitioner,” 1983.[3] J. Turns, B. Sattler, K. Yasuhara, J. Borgford-Parnell, and C. J. Atman, “Integrating reflection into engineering education,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2014, vol. 35, p. 64.[4] J. E. Mills and D. F. Treagust, “Engineering education—Is problem-based or project-based learning the answer,” Australasian journal of engineering education, vol. 3, no. 2, pp. 2–16, 2003.[5] R. Dimeo, “Sketchnoting: an analog skill in the digital age,” ACM SIGCAS Computers
degree of how a customer’s want is influenced by a technical characteristic. Moredetailed descriptions can be found in references 10-15. Prusak described use of QFD inassessment of course activities for learning outcomes in 5 sophomore, junior and senior coursesin Manufacturing and Mechanical Engineering Technology programs plus industrial co-op 15. Materials Processing classroom / lab Sophomore Geometric Dimensioning & Tolerancing classroom Junior/Sophomore Computer Aided Planning classroom / computer lab Junior Manuf. Process Planning and Estimating classroom / lab on occasion Senior Design for Manufacture classroom / lab on
AC 2012-4440: FOSTERING EXCELLENCE IN TEACHING AND LEARN-ING IN A COLLEGE OF ENGINEERINGDr. W. Vincent Wilding P.E., Brigham Young University W. Vincent Wilding is professor of chemical engineering, 1994-present, Brigham Young University. He worked for Wiltec Research Company, Inc., 1985-1994, and has a Ph.D. in chemical engineering, Rice University, 1985, and a B.S. in chemical engineering, Brigham Young University, 1981.Prof. James K. Archibald, Brigham Young University James K. Archibald received a B.S. degree in mathematics from Brigham Young University, Provo, Utah, in 1981, and M.S. and Ph.D. degrees in computer science from the University of Washington, Seattle, in 1983 and 1987, respectively. Since 1987, he
in very similar answers on a prior exam. On the Final Exam (Exam 3) they turned inExcel files that looked alike with only superficial formatting modifications. The files were foundto both be derived from an example problem created in 2006 and posted on the LMS as alearning aid. Student C and Student D sat in university computer lab logged in at neighboringPCs. Student C started Exam 3, relayed exam information to Student D who then downloadedthe learning aid file (see arrow below) in violation of the rules, entered the exam data, relayedthe file to Student C, made some more modifications, and saved another version for later use.Student C completed the exam and submitted one version of the file. Student D started the examthe next day at an
Paper ID #34463Visual Teaching Philosophy Empowering Inclusive Learning and ManagingExpectationsDr. Tawfik Elshehabi, University of Wyoming Dr. Tawfik Elshehabi is a Senior Academic Professional Lecturer at the University of Wyoming. He joined the College of Engineering and Applied Science in 2017 as an Associate Lecturer. Currently, he serves as the Program ABET Accreditation Coordinator. He also manages the simulation facility in the Engineering Education and Research Building. He is a registered Professional Engineer with the State of Wyoming. He received his Ph.D. degree in Petroleum and Natural Gas Engineering from West
PhD degree in Aerospace and Mechanical Engineering and MS degree in Elec- trical Engineering from the University of Southern California. Her research interests include micro-scale molecular gas dynamics, micro fluidics, and heat transfer applications in MEMS and medical devices as well as autonomous vehicles and robotics. She also holds the patent for the continuous trace gas separa- tor and a provisional patent for the dynamic tumor ablation probe. She is passionate about Engineering Education and experienced in developing inverted classroom lectures and facilitating students’ learning through authentic engineering problems. She is currently the Co- PI for the NSF Revolutionizing Engi- neering and Computer Science
Cambridge, MA. She earned a bachelor’s degree in biological engineering from Cornell University and a Ph.D. in biomedical engineering from the University of Virginia.Mr. Zhilin Zhang, University of Illinois at Urbana - Champaign Zhilin Zhang is a 5-year BS-MS Computer Science student at the University of Illinois at Urbana Cham- paign (UIUC). He has experience in text retrieval and mining, machine learning, data analysis, mobile development, web development, and user study. His interests include (but are not limited to) Human- Computer Interaction, Artificial Intelligence, Data Retrieval and Mining, and Computer Security.Mr. Chirantan Mahipal, University of Illinois at Urbana - Champaign I’m a Computer Science grad student
Paper ID #30427Making Large Classes Work for You and Your StudentsDr. Edward F. Gehringer, North Carolina State University Dr. Gehringer is an associate professor in the Departments of Computer Science, and Electrical & Computer Engineering. His research interests include computerized assessment systems, and the use of natural-language processing to improve the quality of reviewing. He teaches courses in the area of programming, computer architecture, object-oriented design, and ethics in computing. c American Society for Engineering Education, 2020 Making Large Classes Work for You and
computer science at University of Illinois at Urbana-Champaign (UIUC). His interests include (but are not limited to) joyful teaching, empirically-sound educational research, campus and online courses, computer science, engag- ing underrepresented students, improving accessibility and creating novel methods to create, adapt and enhance learning opportunities and learning communities.Karle FlanaganDavid Mussulman, University of Illinois, Urbana-Champaign Dave is an Instructional Technology Facilitator with the University of Illinois at Urbana-Champaign’s Engineering IT Shared Services. He helps instructors select and adapt the courses to technologies to enhance student learning and course administration.Dr. Christopher D
Paper ID #26077Work In Progress: From Face-to-Face to Online Learning Environments: ATransition to a Learner-centered ApproachDr. John Alexander Mendoza-Garcia, University of Florida John Mendoza Garcia is a Lecturer at the Institute for Excellence in Engineering Education in the Herbert Wertheim College of Engineering in the University of Florida. He received his Ph.D. in Engineering Edu- cation at Purdue University, and he has a Master’s and a Bachelor’s in Systems and Computing Engineer- ing from Universidad de Los Andes, in Colombia, and Universidad Nacional de Colombia respectively. He teaches professional skills like
innovation, teaching-learning strategies, Fourth Industrial Revolution, Critical Thinking, Cognitive Flexibility and development of soft skills in engineering. She teaches courses on the implementation of Educational Innovation strategies as: Development of Creativity and Innovation Techniques, Development of Transversal Skills and Competencies, Development of Critical Thinking and Case Analysis, Problem Solving through Lateral Thinking and Design Thinking. Dr. Caratozzolo is Se- nior Member of IEEE and member of the IEEE Industry Applications Society (IAS), Power and Energy Society (PES) and Women in Engineering (WIE). She is also a member of the International Association of Continuing Engineering Education (IACEE
exercises and were articulated based on real construction scenarios. In detail, theworkshop was observed as a key tool that would: a) consolidate principles and skills; b) providean understanding of the implications (cost, schedule, and planning) of decision makingprocesses; c) provide an opportunity for the integration of advanced computing tools; d) integratereal construction data into the learning environment of the students; and e) enhance thecommunicate skills of the engineers.Table 2. Time dedication of students Number of courses attended Additional work activity simultaneously in the semesterStudents Yes No
AC 2011-324: HOW CAN WE HELP FACULTY BALANCE BETWEENTEACHING AND SCHOLARLY ACTIVITIES?Cheryl B. Schrader, Boise State University Cheryl B. Schrader is Associate Vice President for Strategic Research Initiatives and Professor of Electri- cal and Computer Engineering at Boise State University, where she previously served nearly eight years as Dean of the College of Engineering. Dr. Schrader has an extensive record of publications and spon- sored research in the systems, control and engineering education fields. She received the 2005 Presidential Award for Excellence in Science, Engineering and Mathematics Mentoring from the White House for an enduring, strong, and personal commitment to underrepresented engineering
large enrollment courses. Page 25.135.8Role of technology inside the classroomWe have tried to make sure that the latest technology is used appropriately in our courseinstruction. We feel that students and faculty members absolutely must have broadband accessinside the “classroom”, anything less is analogous to a library without books. However, use oftechnology comes with its own set of issues.These are engineering “classrooms,” “technology” should be immersed throughout – in coursedelivery and management as well as content. Technology should be used in the classroom toenhance student learning. Student computers should be used actively to
amount of intellectual maturity for a young student(“cherry picked”). For one semester, the student worked for credit learning computationalmodeling and CAD skills. The seniors on the team quickly brought him up to speed and by theend of his sophomore year, he was the project expert on geometric creation and mesh generationon a glass forming contract. In subsequent years, he went on to take an internship at the fundingcompany and completed several more semesters as a paid researcher. He has published severalpapers and presented his work at international conferences in England and France. He willcontinue his work in computational heat transfer as he pursues a graduate degree.FailureAn unsuccessful experience with undergraduate research began with
use, upper level engineering courses and courses withsmaller enrollments are unlikely to have online textbook publisher homework available. TheLMS algorithmic calculated questions present a means for instructors to construct their ownonline homework assignments without needing to do computer programming or resort to anassisted authoring tool. Commercially available learning management systems such asBlackboard, Moodle10, Brightspace11, and Canvas12 provide the ability for an instructor toconstruct algorithmic calculated questions and assemble them into online homework assignmentsor quizzes.This paper shows how algorithmic calculated questions can be designed and utilized in order toaid the educational learning process. A key motivator is to
implementation presented.Table 1. List of topics and their classification for mastery learning progression Topic # Classification Course Learning Outcomes Estimate forces on particles in equilibrium P1 Preliminary in 2D and 3D Estimate moments and couples on bodies in P2 Preliminary 2D and 3D Create free-body diagrams and solve with R3 Required vector algebra in 2D and 3D Compute the resultant
University of Delaware. He has taught core and elective courses across the curriculum, from introduction to engineering science and material and energy balances to process control, capstone design, and mathematical modeling of chemical and environmental systems. His research interests include technology and learning in various incarnations: electronic portfolios as a means for assessment and professional development, implementa- tion of computational tools across the chemical engineering curriculum, and game-based learning.Dr. Allen A. Jayne P.E., University of Delaware Allen Jayne is an assistant professor in the Department of Civil and Environmental Engineering at the University of Delaware. He possesses 28 years of