AC 2012-3012: TABLET COMPUTERS AND INKSURVEY SOFTWAREIN A COLLEGE ENGINEERING STATISTICS COURSE: HOW ARE STU-DENTS’ LEARNING AND ATTITUDES IMPACTED?Tonya Lynn Lauriski-Karriker, Colorado School of Mines Tonya Lauriski-Karriker received her B.S. and M.S. degrees in mathematics from Montana State Univer- sity. She is currently a Ph.D. candidate in statistics at Colorado School of Mines. Her research interests include statistical methods in epidemiology and educational evaluation and assessment.Emma Nicoletti, Colorado School of Mines Emma Nicoletti received her B.S. in metallurgical engineering and is currently a master’s candidate in statistics at Colorado School of Mines. Her research interests include statistical
Paper ID #43597Board 408: Toward Building a Human-Computer Coding Partnership: UsingMachine Learning to Analyze Short-Answer Explanations to ConceptuallyChallenging QuestionsHarpreet Auby, Tufts University Harpreet is a graduate student in Chemical Engineering and STEM Education. He works with Dr. Milo Koretsky and helps study the role of learning assistants in the classroom as well as machine learning applications within educational research and evaluation. He is also involved in projects studying the uptake of the Concept Warehouse. His research interests include chemical engineering education, learning sciences, and
Paper ID #42573(Board 54/Work in Progress) Exploring How an Unofficial Discord ServerSupports Undergraduate Learning in Computer ScienceMakayla Moster, Clemson University Makayla Moster is a PhD student at Clemson University in Clemson, South Carolina. Her research encompasses improving online teamwork in software engineering education.Dr. D. Matthew Boyer, Clemson University Dr. Boyer is a Research Associate Professor in the Department of Engineering & Science Education in the College of Engineering, Computing, and Applied Sciences at Clemson University. His work focuses on how technology supports knowledge building and
Paper ID #42351WIP: Impact of an Authentic Introductory Computer Programming Courseon New BAE Undergraduate Students’ Learning Motivation and Interest inthe DisciplineDr. Lucie Guertault, North Carolina State University ©American Society for Engineering Education, 2024 WIP: Impact of an authentic introductory computer programming course on new BAE undergraduate students’ learning motivation and interest in the disciplineIntroductionFrom automating tasks to analyzing large amounts of data, or solving complex mathematicalproblems, computer programming is a fundamental skill for engineering
AC 2010-1994: ASSESSING SENIOR STUDENT EXPERIENCES WITH A NOVELMOBILE ROBOTICS LEARNING PLATFORM IN A COMPUTER ANDELECTRONICS ENGINEERING PROGRAMAlisa Gilmore, University of Nebraska, Lincoln Alisa N. Gilmore, M.S.E.C.E., P.E. is a Senior Lecturer with the Department of Computer and Electronics Engineering at the University of Nebraska-Lincoln. Ms. Gilmore has extensive industrial experience in telecommunications and manufacturing, and has used her industry background to foster industrial partnerships in robotics at the university and to develop and teach courses in circuits, telecommunications, and robotics. She has served as senior staff for two NSF grants in the ITEST and Discovery K
Session 2793A Comparative Analysis of Student Performance in Lower Division Computer Science Courses in Face-to-Face Mode vs. Distance Learning Mode Vladimir Briller and John D. Carpinelli New Jersey Institute of TechnologyAbstractComputer engineering and computer science students at the New Jersey Institute of Technology(NJIT) take a two-course sequence on the fundamentals of computer science as parts of theirplans of study. The two courses, CIS 113 and CIS 114, cover topics in computer system basics,algorithm design, data abstraction, programming languages, data structures, and
Paper ID #8523The Effect of Feedback Mechanisms on Students’ Learning in the Use ofSimulation-based IT Training in a Computer Networking ProgramDr. Usman Ghani, DeVry University Usman Ghani Senior Professor DeVry University College of Engineering and Information Science Usman Ghani is a senior professor of Network and Communication Management in the College of En- gineering and Information Science at DeVry University, Addison, Illinois. Professor Ghani’s area of specialization is ’Network Infrastructure and Security’. Mr. Ghani began his career as an Electronics Engineer for Johnson Controls, Inc. in Milwaukee, Wisconsin
Paper ID #43945FAU Hack-a-Thons: An Introduction to Computational and Hardware, LogisticalSkills, and Intense Training for Outcomes-Based Learning for DevelopingInternet of Things ProductsCharles Perry Weinthal Currently Seeking a PhD. in EE Florida Atlantic University College of Engineering EECS Lab Manager 2015- STEM & Robotics Mentor 2012- PV / EV-racingDr. David Jaramillo ©American Society for Engineering Education, 2024 FAU Hack-a-Thons An Introduction to Computational and Hardware, Logistical Skills, and Intense Training for Outcomes Based Learning for Developing
Paper ID #42820Incorporating an Entrepreneurial Mindset, Bio-Inspired Design, and STEAMApproach to Enhance Learning in a Computer Aided Design and ModelingClassDr. Thomas Aming’a Omwando, Simpson University Dr. Thomas Omwando holds a PhD in Industrial Engineering from the University of Wisconsin Milwaukee. He is an Assistant Professor and Director of Engineering program at Simpson University. His teaching interests are in statistical quality control, manufacturing processes, engineering/project management, engineering economy and production and operations analysis. His research interests are in sustainable manufacturing
Teaching Design Thinking, Writing, and Oral Presentation: Lessons Learned from the Computer Science Senior Design Course at GW Gabriel Parmer, Rahul Simha, Chris Toombs, Poorvi Vora & Timothy Wood Department of Computer Science The George Washington University Washington DC 20052 {gparmer,simha,cctoombs,poorvi,timwood} @ gwu.eduAbstractComputer science students in the B.S. program at George Washington University take an 8-credit one-year course sequence in senior design during which students must demonstrateworking software containing a significant algorithmic
Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) Improving Spatial Reasoning Ability While Learning Energy Efficient Construction: Students Who Build Physical Models vs. Students Who Develop 3D Computer Models Orla Smyth LoPiccoloAbstract: Olkun defines spatial reasoning as “the mental the development of students’ spatial reasoning inmanipulation of objects and their parts in 2D and 3D freshman non-design courses.space.” In a previous study, the author found that physicalmodel building increased student spatial reasoning by 12%on average, as compared to drawing the same topic as an II
educational environment.Prof. Curt Schurgers, University of California, San Diego Curt Schurgers is a Teaching Professor in the UCSD Electrical and Computer Engineering Department. His research and teaching are focused on course redesign, active learning, and project-based learning. He also co-directs a hands-on undergraduate research program called Engineers for Exploration, in which students apply their engineering knowledge to problems in exploration and conservation.Dr. Huihui Qi, University of California, San Diego Dr.Huihui Qi is an Associate Teaching Professor in the department of Mechanical and Aerospace Engineering, at the University of California San Diego.Hamad Alajeel, University of California, San Diego
Using open-ended design projects in an open lab to teach lifelong learning skills in an IC design course D. W. Parent EE Department, San Jose State University, San Jose CA 95192-0084, email dparent@email.sjsu.edu, PH 408.924.3863, FX 408.924.3925The ABET criterion, recognition for and the ability to engage in life-long learning, is one of themost important, given that we as engineering educators can not teach every concept that studentswill encounter over the span of a 20-40 year career as an engineer. We believe that one methodto teach and verify this critical skill in the area of Integrated Circuit (IC) design, is to have thestudents learn
Session 2320 Using Modeling and Simulation Projects to Meet Learning Objectives in an Upper-Level Course in System Dynamics Richard A. Layton Rose-Hulman Institute of TechnologyAbstractModeling and simulation projects in an upper-level system-dynamics course are described withan emphasis on using these projects to support course learning objectives. Course-specificobjectives include: modeling engineering systems using Lagrange’s equation; using the Dymolasoftware package to solve the resulting nonlinear differential-algebraic equations; and validatingsimulation
Paper ID #36998Graphics Library to Aid Student Learning of Object-Oriented ProgrammingMr. Thomas Rossi, Penn State Erie Thomas Rossi is a lecturer in Computer Science and Software Engineering at Penn State Behrend. His research focuses on improving the post-secondary experience for students through the use of current com- puting tools and technologies. Thomas graduated with his MS in Computer Science from the University of New Hampshire in 2016.Mackenzie SloanRyan Joseph Pape ©American Society for Engineering Education, 2023 Graphics Library to Aid Student Learning of Object-Oriented
adults seeking to implement ML in their work, and K-12 students.Technical ML courses assume an existing background in computer science with a high barrier ofentry, requiring CS competence, statistics, calculus, and linear algebra. General adult courses arefar more accessible but do not provide sufficient depth for implementation. Instead, many of thesecourses focus on providing a context for conversations with others who will implement ML.Finally, K-12 courses provide smaller activities and projects that develop skills related to modelimplementation but are simple and abstract enough to bypass math and programmingrequirements. Lao created a framework that identified learning outcomes to develop theknowledge, skills, and attitudes necessary to
Paper ID #37043Combining Game-Based and Inquiry-Oriented Learning for Teaching LinearAlgebraDr. Ashish Amresh, Arizona State University Ashish Amresh is an Assistant Professor in the College of Technology and Innovation and is leading the Computer Gaming curriculum initiatives at Arizona State University, where he founded the Computer Gaming Certificate and the Camp Game summer program. IDr. Vipin Verma, Arizona State UniversityMichelle Zandieh, Arizona State University ©American Society for Engineering Education, 2023 Combining Game-Based and Inquiry-Oriented Learning for
Paper ID #39432Student Perceptions of Learning Models in First-Year Programming CoursesDr. David M. Feinauer, P.E., Virginia Military Institute Dr. Feinauer is an Associate Professor of Electrical and Computer Engineering at Virginia Military Insti- tute. His scholarly work spans a number of areas related to engineering education, including the first-year engineering experience, incorporating innovation and entrepreneurship practice in the engineering class- room, and P-12 engineering outreach. Additionally, he has research experience in the areas of automation and control theory, system identification, machine
, is gaining significant traction.This technology holds immense promise for enhancing learning experiences, personalizinginstruction, and preparing students for the demands of the modern engineering workforce.AI is a branch of computer science focused on replicating human intelligence in machines. Thisencompasses areas like visual perception, speech recognition, decision-making, learning, reasoning,and language translation. AI is increasingly embedded in various devices, from smartphones andsmartwatches to automobiles, influencing how we interact with technology (Mukhamediev, et. al.,2022). AI-powered chatbots, such as ChatGPT, use Natural Language Processing to construe what userscommand and machine learning to convey accurate responses by
., 2014. Increasing the use of evidence‐based teaching inSTEM higher education: A comparison of eight change strategies. Journal of EngineeringEducation, 103(2), pp.220-252.[9] Sadowski, W., & Stanisław, P. 2014. Game-based learning in engineering education.International Journal of Engineering Pedagogy, 4(1), 11-17.[10] Merchant, Z., et al. 2014. Effectiveness of virtual reality-based instruction on students'learning outcomes in K-12 and higher education: A meta-analysis. Computers & Education, 70,29-40.[11] Oje, A.V., Hunsu, N.J. and May, D., 2023. Virtual reality assisted engineering education: Amultimedia learning perspective. Computers & Education: X Reality, 3, p.100033.[12] Nguyen, T., Cannata, M., & Miller, J. 2018
Paper ID #42926Machine Learning Tools in the Technical Writing Classroom: A ModularApproachDr. Alyson G. Eggleston, Pennsylvania State University Alyson Eggleston is an Associate Professor in the Penn State Hershey College of Medicine and Director of Evaluation for the Penn State Clinical and Translational Science Institute. Her research and teaching background focuses on program assessment, STEM technical communication, industry-informed curricula, and educational outcomes veteran and active duty students.Dr. Robert J. Rabb P.E., Pennsylvania State University Robert Rabb is the associate dean for education in the College
Paper ID #11415Improving Learning in Continuous-Time Signals and Systems Courses ThroughCollaborative WorkshopsDr. Mario Simoni, Rose-Hulman Institute of TechnologyProf. Maurice F. Aburdene, Bucknell UniversityDr. Farrah Fayyaz, Ghulam Ishaq Khan Institute of Engineering Sciences and TechnologyDr. Vladimir A Labay, Gonzaga University Currently, Dr. Vladimir Labay is a Professor of Electrical and Computer Engineering at Gonzaga Uni- versity in Spokane, Washington, USA. Dr. Labay was born in Winnipeg, Manitoba, Canada and earned a B.Sc.(E.E.) and M.Sc.(E.E.) from the University of Manitoba in 1987 and 1990, respectively. After grad
Paper ID #12409A Framework for Integrating Computational Simulations into EngineeringLessonsDr. Kerrie Anna Douglas, Purdue University, West Lafayette Dr. Douglas is a Visiting Assistant Professor in the Purdue School of Engineering Education. Her research is focused on methods of assessment and evaluation unique to engineering learning contexts.Dr. Tanya Faltens, Purdue University, West Lafayette Tanya Faltens is the Educational Content Creation Manager for the Network for Computational Nanotech- nology (NCN) which created the open access nanoHUB.org cyber-platform. Her technical background is in Materials Science and
, where she focused on wireless health monitoring for stroke and pediatric asthma. Her current research is on engineering education, specializing in pedagogy strategies to promote learning in design-build-test courses, including senior design, computer programming, and computer-aided-design courses. c American Society for Engineering Education, 2019 Introduction of Whiteboards to Improve Sketching in Computer- Aided Design CoursesAbstract:This evidence-based teaching practices paper presents the study of whiteboarding learningmodules to improve sketching in computer-aided design (CAD) undergraduate courses.Sketching is very important in the design process, as it
Session 1453 Project SUCCESS: Sustaining Undergraduate Careers: a Computer Engineering Support System Doug Jacobson, Barb Licklider Iowa State UniversityAbstractLearning Communities, a growing initiative at Iowa State University, aid freshmen in thetransition to college life as students live in the same residence hall and attend a common block ofclasses. By combining learning communities with the concept of student-centered active learning,students will gain control of and adjust more quickly to their new environment, experienceincreased achievement, and persist
Paper ID #43119How AI Assisted K-12 Computer Science Education: A Systematic ReviewZifeng Liu, University of Florida Zifeng Liu is a Ph.D. student and research assistant in School of Teaching & Learning, College of Education, University of Florida. Her research interests include educational data mining, artificial intelligence, and computer science education.Rui Guo, University of Florida Dr. Rui Guo is an instructional assistant professor of the Department of Engineering Education in the UF Herbert Wertheim College of Engineering. Her research interests include data science & CS education, Fair Artificial
laboratory, or all laboratory. For two years the course was organized with twodifferent modalities of instruction. One was the lecture/laboratory and the other the all laboratorystructure. At the end of the semester an in-depth questionnaire with quantitative ratings wasgiven to the students to determine if there were differences in learning preferences. Contingencytables were used to compare responses. There were several statistically significant differences instudent responses favoring the all laboratory structure. Several of them are: the students aremuch more comfortable with computers at the end of the semester; either laboratory or workingby oneself were the preferred settings for learning; and lecture was not a preferred setting forlearning
TechnologyAbstract – Higher education is fast becoming a very competitive market with the plethoraof universities offering online degrees increasing across the country. Our university hasbeen offering distance education in various forms since the 90s. But the courses we couldoffer using distance technology of the 90s were limited due to the nature of our content –computer science and software engineering courses typically have technologyrequirements that could not be supported at that time. Now with high-speed internetconnections and new technologies, we are no longer restricted by our content. Besides theavailability of new technologies, there may also be pedagogical reasons to consider addingonline components into student learning, according to some
knowledge was lower for thecontinuous version of the simulation than for the discrete version, in direct opposition to theiractual objective learning performance.Introduction:Computer-based simulations and simulation games [6], as well as on-line courses withinteractive content, have become an important component of modern education, boosting studentinterest and learning outcomes relative to conventional lecture-based classes [1]-[4]. Manyexamples of these computer-based teaching tools exist, and the manner of student interactionwith simulation programs can vary from something as simple as text input to more advancedmethods such as software-implemented sliders or virtual reality interfaces [5]. Simulations thatmake use of discrete inputs such as
Paper ID #25491The University’s Role in Professional Development for Computer-Aided En-gineeringMs. Emily Nutwell, Ohio State University Emily Nutwell is pursuing her PhD at Ohio State in Engineering Education where her research inter- ests focus on workforce development, adult learning, and distance education. She is also the Education Manager at the Ohio State SIMCenter, the Simulation Innovation, and Modeling Research center, which supports educational initiatives to promote simulation and modeling. She has several years of experience in industry as a CAE analyst focusing on vehicle crash modeling and topology