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
Paper ID #33782Learning Experiences of Social Science Students in an InterdisciplinaryComputing MinorDr. Valerie A. Carr, San Jose State University Valerie Carr earned a PhD in Neuroscience from UCLA followed by a postdoctoral fellowship at Stan- ford University. She is now an Associate Professor in the Department of Psychology at San Jose State University where she conducts research regarding learning and memory across the lifespan. She teaches courses on human learning and neuroscience, and helped create SJSU’s new minor in Applied Comput- ing for Behavioral and Social Sciences (ACBSS). Valerie currently teaches the
Paper ID #22511Process Oriented Guided Inquiry Learning in Introductory Computer Sci-enceDr. Helen H. Hu, Westminster College Helen H. Hu received her Ph.D. in computer science from the University of Utah. She is a Professor of Computer Science at Westminster College and a member of the ACM. Her research interests include active learning pedagogies and broadening participation in computer scienceMr. Clifton L. Kussmaul, Muhlenberg College Clif Kussmaul is Associate Professor of Computer Science at Muhlenberg College. Previously, he was Fulbright Specialist at Ashesi University, Visiting Fulbright-Nehru Scholar at the
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
AC 2012-4831: UNDERSTANDING THE DIFFERENCE BETWEEN CLASS-ROOM LEARNING AND ONLINE LEARNING ON MEDICAL IMAGINGWITH COMPUTER LAB EXERCISESProf. Hong Man, Stevens Institute of Technology Hong Man joined the faculty of electrical and computer engineering at Stevens in Jan. 2000. He re- ceived his Ph.D. degree in electrical engineering from the Georgia Institute of Technology in Dec. 1999. Man is currently an Associate Professor in the Department of ECE. He is serving as the Director of the undergraduate Computer Engineering program, and the Director of the Visual Information Environment Laboratory at Stevens. His research interests have been in image and video processing, medical imaging, data analysis and pattern
optics, microfluidics and devices that interface to the biological world. Dr. Dickerson is also interested in enhancing undergraduate engineering education, and investigates new and innovative methods for improving the learning experience for electrical and computer engineering students.Dr. Renee M Clark, University of Pittsburgh Renee Clark is Research Assistant Professor of Industrial Engineering and Director of Assessment for the Engineering Education Research Center (EERC) in the Swanson School of Engineering, University of Pittsburgh. She conducts research on education projects that focus on active learning and engineering professional development. Current research includes the propagation of active learning
educational topics.Dr. Rebecca L. Damron, Oklahoma State University Page 24.87.1 c American Society for Engineering Education, 2014 A Platform for Computer Engineering EducationAbstractThe goal of the Progressive Learning Platform (PLP) pilot project is to design and test a platformto teach students how the underlying hardware building blocks relate to organization andarchitecture of microprocessors. PLP helps students link computer engineering concepts—logicdesign, microprocessors, computer architecture, embedded systems, compilers, operatingsystems, and high-level language constructs—in
, cloud computing, programming model, and compiler optimizations. Page 25.552.1 c American Society for Engineering Education, 2012 Engineering Laboratory Enhancement through Cloud ComputingAbstractLaboratories are important to engineering and technology curricula. Through systematicallydesigned experiments, students can gain hands-on experience, enhance classroom learning, andcultivate career interests. However, traditional laboratory conduction is often restricted byvarious reasons such as facility cost, conflicted schedule, and limited space. Thus, how toeffectively extend laboratories via cyberspace
Paper ID #38487Board 254: Developing Tools, Pedagogies, and Policies for Computer-BasedCollaborative Learning ActivitiesMorgan M. Fong, University of Illinois, Urbana - Champaign Morgan is a PhD student in the Department of Computer Science at the University of Illinois at Urbana- Champaign. Her current research focuses on developing methods and analyzing cooperative learning in undergraduate computing courses.Liia Butler, University of Illinois, Urbana - ChampaignDr. Abdussalam Alawini, University of Illinois, Urbana - Champaign Dr. Abdussalam Alawini received a doctoral degree in Computer Science from Portland State in 2016
Paper ID #33489Peer Mentoring in an Interdisciplinary Computer Science TrainingProgram: Mentor and Student Perspectives and Lessons LearnedProf. Anagha Kulkarni, San Francisco State University Anagha Kulkarni is an Associate Professor of Computer Science at San Francisco State University. Her research investigates problems at the intersection of information retrieval (IR), natural language process- ing (NLP), and machine learning (ML). Her work applies IR, NLP, and ML tools and techniques to multidisciplinary problems in public health, social justice, women’s health, and biomedicine. She leads the following CS education
Paper ID #17928Process Oriented Guided Inquiry Learning in Computer Science: The CS-POGIL & IntroCS-POGIL ProjectsMr. Clifton L Kussmaul, Muhlenberg College Clif Kussmaul is Associate Professor of Computer Science at Muhlenberg College. Previously, he was Visiting Fulbright-Nehru Scholar at the University of Kerala, Chief Technology Officer for Elegance Technologies, Inc., Senior Member of Technical Staff with NeST Technologies, and Assistant Professor of CS at Moravian College. He has a PhD in Computer Science from the University of California, Davis, master’s degrees in CS and Electro-acoustic Music from Dartmouth
Paper ID #11564Deploying Adaptive Learning Environments to Overcome Background Defi-ciencies and Facilitate Mastery of Computer Engineering ContentDr. Brock J. LaMeres, Montana State University Dr. Brock J. LaMeres is an Associate Professor in the electrical and computer engineering department at Montana State University. LaMeres teaches and conducts research in the area of digital systems and engineering education. LaMeres is currently studying the effectiveness of online delivery of engineering content including the impact of adaptive learning modules. LaMeres is also studying how different student demographics use e
Paper ID #30150(Mis)match of Students’ Country of Origin and the Impact ofCollaborative Learning in Computer ScienceProf. Nicholas A Bowman, University of Iowa Nicholas A. Bowman is a professor of Higher Education and Student Affairs, the director of the Center for Research on Undergraduate Education, and a senior research fellow in the Public Policy Center at the University of Iowa. His research uses a social psychological lens to explore salient issues in higher education, including student success, diversity, undergraduate admissions, college rankings, and research methodology.Lindsay Jarratt, University of Iowa
AC 2012-3964: IMPROVING PROJECT-BASED LEARNING VIA REMOTEOPNET-BASED LAB SEQUENCE IN UNDERGRADUATE COMPUTERNETWORKING CURRICULUMDr. Jianyu Dong, California State University, Los Angeles Jianyu Dong is a professor in electrical and computer engineering at CSULA. Her area of expertise is video compression/communication, multimedia networks, QoS, etc. As the PI of the NSF CCLI Project entitled ”Enhancing undergraduate computer networking curriculum using remote project-based learn- ing,” she works closely with colleagues from computer science to redesign the network curriculum to integrate project-based and inquiry-based learning.Dr. Huiping Guo, California State University, Los Angeles Huiping Guo is currently an
AR environment that promotes the earlycultivation of computational thinking. Children in K-2 were tasked with walking on a floor matdesigned as a 5x5 chessboard, assisting a robot named Linibot in navigating a path to a destinationwhile holding a tablet. Linibot provided guidance through instructions, cues, and feedback,encompassing corrections and motivational encouragement. The tablet concurrently displayed acorresponding map and AR obstacles for the child to navigate around. The key learning objectives of this study were to enhance children's foundational STEMproblem-solving skills, specifically focusing on their comprehension of symbols and sequencesapplicable across various STEM domains, and to boost their confidence in utilizing
NSF sponsoredproject, entitled “Enhance Computer Network Curriculum using Remote Collaborative Project-based Learning”. The focus of the project is to explore Collaborative Project-based Learning(CPBL) as a pedagogical approach to address the learning issues of under-prepared minoritystudents, and seek effective implementation strategy to extend the pedagogy beyond theclassroom through a remote learning structure. During the three-year project course, a newpedagogical model named as CPBL-beyond-Classroom was developed and its effectiveness hasbeen thoroughly evaluated in iterative classroom implementation. In this paper, we will analyzethis pedagogical model to illustrate how it can address the learning needs of minority students ona commuter
improving methods of assessment in engineering learning environments and supporting engineering students. ©American Society for Engineering Education, 2021 Computational Thinking frameworks used in Computational Thinking assessment in higher education. A systematized literature review.AbstractThis research paper presents a literature review of Computational Thinking (CT) frameworks andassessment practices. CT is a 21st century way of solving a problem. It refers specifically to theeffective methods when trying to solve a problem with a machine or other computational tools. Inthe past few years, CT researchers and educationists' significant movement started to look for aformal definition and composition of
Paper ID #19018Group-Based Cloud Computing for Secondary STEM EducationDr. Anthony J Petrosino Jr, University of Texas, Austin Anthony Petrosino is a learning scientist and an associate professor of STEM education and the Eliz- abeth G. Gibb endowed fellow at The University of Texas at Austin. He was a seven-year member of the National Science Foundation (NSF) funded VaNTH (a consortium of Vanderbilt University, North- western University, University of Texas, and Harvard-MIT Health Sciences and Technology), ERC, and a principle investigator of a U.S. Department of Education funded PT3 (Preparing Tomorrow’s Teach- ers to
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
Engineering Education from Purdue University.Dr. Donald Winiecki, Boise State University Don Winiecki, Ed.D., Ph.D. is the ‘Professor of Ethics & Morality in Professional Practice‘ in the Boise State University, College of Engineering. He teaches undergraduate and graduate courses in ‘Foundational Values‘ and ‘Professional Ethics‘ in the Computer Science Department and Organizational Performance & Workplace Learning Department in the Boise State University College of Engineering. His research focuses on the attributes of technology and technology-in-use as a reflection on, and an influence on social morals and social ethics. c American Society for Engineering Education, 2019
State University. His interests include digital and solid-state circuits and computer programming. He is a member of the Society of Hispanic Professional Engineers and the Institute of Electrical and Electronics Engineers.John M Quick, Arizona State University John M. Quick is an Educational Technology doctoral candidate at Arizona State University who is in- terested in the design, research, and use of educational innovations. He has been active in the creation of both entertainment and serious games. His current research explores the intersections of individual characteristics, enjoyment, learning, and video games.Prof. Robert Kenneth Atkinson, Arizona State University Dr. Robert Atkinson is an associate professor
ethical reasoning, and assessments of engineeringprofessional responsibility collected in year 1 of the project.Summary of ECE 121 (Introduction to Electrical and Computer Engineering)At UA, one-credit courses in the College of Engineering introduce first-year students to theirspecific disciplines (e.g., mechanical, aerospace, chemical, electrical/computer, computerscience). These courses focus on basic discipline-specific concepts, along with assignments thatraise student awareness of other key skills important for ABET course requirements includingdesign, ethics, computer simulations, and life-long learning. Each department has developed itsown version of this course, numbered 121, to expose students earlier to their major discipline.ECE 121
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 #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
low-income backgrounds succeed in their goal of successfullypursuing a career in Computer Science, we at the University of San Francisco started a community engagement-focusedprogram that was funded by the NSF S-STEM program. Our “Community Engaged Scholars in Computer Science [4]”program is focused on promoting community engagement by providing students with a comprehensive suite of structuredopportunities to learn from and to contribute back to the community. As a part of this program students will participate in sixcore activities: (1) an Early Arrival Program, (2) CS 101 - a course specifically designed to introduce them to campus andprofessional resources necessary for success, (3) cohort enrollment in Computer Science courses [5], (4
- cations of computer modeling and simulation. He was a National Science Foundation (NSF) CAREER Award recipientMr. Hai Le, Georgia State University Hai Le, a native of Vietnam, is a PhD student in the Computer science at Georgia State University at Atlanta. He is one of the members of collaborative virtual computer lab developing team. His current research focuses on Agent-Based simulation and modeling, particularly on emergent behaviors. His future goals include working as a professor and focus on Simulation and Modeling research topics.Dr. Yuan Long, Georgia State University YUAN LONG is affiliated with Georgia State University. Her research interests include machine learning, big data analysis, and high-performance
communityservice projects. The community service projects were enabled by the S-STEM Scholars takingcredit hours or performing paid internships. Although the NSF project is in its first two years, ithas had many successful community service projects. This paper focuses on surveys and otherdata from the scholars' participation in this NSF project. The survey data and testimonials showthat the NSF project is progressing in the right direction to achieving its original stated goals.Background:The University of New Mexico (UNM) was awarded, by the National Science Foundation(NSF), a project titled “Scholarships, Service Learning, and Community Engagement to ImproveStudent Success in Engineering and Computer Science”. This is a multi-year project that
addition to teaching and advising students, she has worked to nurture and retain students who demonstrate high academic achievement and financial need and to teach STEM-related skills and cybersecurity issues via Mobile App development.Dr. Li Huang, Tuskegee University Li Huang, associate professor in department of psychology and sociology at Tuskegee University. She earned her doctorate at Auburn University in 2007. Her research mainly focus on minority students academic achievement and success, STEM field retention for minority serving institution.Dr. Xiao Chang, Tuskegee University Dr. Xiao Chang is an assistant professor of computer science at Tuskegee University. His research areas include machine learning
. Karla Hamlen is an Associate Professor of Educational Research in the Department of Curriculum and Foundations. She specializes in educational research relating to both formal and informal entertainment technology use among students. c American Society for Engineering Education, 2017 Integrating Computer Engineering Lab Using Spiral Model1. Introduction 1.1 Motivation Recent engineering education studies call for change to enhance student learning and tobetter prepare graduates to meet the new challenge 1,2,3. A good engineer should have a deepunderstanding of a domain and can apply the knowledge to solve problems 4. This requires twotypes of practices – the “component skill,” which is the
materials used in the module Module evaluation Assessment tools to measure learning and module effectivenessCourse module 1 – Introductory levelThis course module, referred to as CM1, targets CS2, the second course in the problemsolving sequence typically required for first year students in several computing majorssuch as Computer Science, Software Engineering, Computer Engineering, andComputational Mathematics. Students in the class are already prepared with basic idea ofcomputational thinking, programming languages and techniques, elementary datastructures, and some basic problem solving methods. They continue to learn those topicswith more complex features and typically from