wide range of courses across the computer science curriculum and supervised undergraduate and graduate research. ©American Society for Engineering Education, 2024 Assessing the Impact of Open-Resource Access on Student Performance in Computer-Based Examinations Zulal Sevkli Computer Science and Software Engineering Miami University Oxford, OH sevkliaz@miamioh.eduAbstractThis study explored the effects of permitting digital resource access during computer-basedexams in the context of System Programming course. Two
AC 2011-2326: S-FIELD ANALYSIS INNOVATION METHOD EXERCISEIN A COMPUTER-INTEGRATED MANUFACTURING COURSENebojsa I. Jaksic, Colorado State University-Pueblo Nebojsa I. Jaksic received the Dipl. Ing. degree in electrical engineering from Belgrade University in 1984, the M.S. in electrical engineering, the M.S. in industrial engineering, and the Ph.D. in industrial engineering from the Ohio State University in 1988, 1992, and 2000, respectively. From 1992 to 2000 he was with DeVry University in Columbus, OH. In 2000, he joined Colorado State University-Pueblo, where he is currently a professor and the mechatronics program director. Dr. Jaksic’s interests include innovation methods, manufacturing processes, automation
cheerful” - he just wanted to Page 3.149.7be told when he was wrong, without a lot of extra hints or support.ConclusionEducators need to provide alternative strategies and options for learning. Initial success withthese modules has encouraged us to continue with their development, and to more fully integratethem into the curriculum. The serious problems of accessibility to computers will be alleviated inthe near future by plans for mandatory computer purchase by all incoming students 5. Changes tothe modules will allow instructors to track student use and performance.In order to be successful with this mode of delivery, it is necessary to undertake
the students have achieved the technical outcomesat the required level of complexity. During the development of the outcomes, the committeecontacted ABET regarding the impact of this new degree on the accreditation of the four-yearinstitutions. The ABET representative reinforced their focus on program outcomes and processand encouraged flexibility in the approach.At the current time, outcomes for the ASE in electrical engineering (EE)4 and computerengineering (CE)5 are specified for math, physics, chemistry, computer science, and engineering.There are a total of 20 required outcomes in EE and 22 required outcomes in CE from the“engineering courses” in the curriculum. These outcomes are usually dispersed in courses withtitles like
, November 2004.2. Baxter, Douglas, and Lister, Brad, and Laplante, Bruce, “A New Model for a Self-Taught SolidModeling Course”, Proceedings, American Society of Engineering Education: Engineering GraphicsDivision Mid Year Meeting, San Antonio, Texas, January 2001.3. Baxter, Douglas, “Expanding the Use of Solid Modeling Throughout the Engineering Curriculum”,Proceedings, American Society of Engineering Education: Annual Meeting, St. Louis, Missouri, June,2000.4. Baxter, Douglas, and Bunk, Donald, Engineering Graphics and Computer Aided Design, Primus CustomPublishing, McGraw-Hill, New York, New York, 1999.5. Baxter, Douglas, “Comparing Passive and Active Lectures for a Freshman Computer Aided DesignCourse,” Proceedings, American Society of
Session Teaching Basic Accounting to Engineering Economy Students: Are Computer Tutorials More Effective than Traditional Classroom Lectures? Donald N. Merino, Ph.D. P.E., and Kate D. Abel, Ph.D. Stevens Institute of TechnologyAbstractMany colleges and universities are making an effort to incorporate computers and technologyinto their teaching environments and grappling with the effectiveness of using such technologies.This article addresses the effectiveness of using a computer –based tutorial as a method oflearning versus traditional
Session 3120 Enhancement to Student Learning by Employing Advanced Computing in a Project Oriented Environment Jeff Nadel, Dan Walsh College of Engineering California Polytechnic State UniversityAbstractA partnership between an individual donor, industry and academia has been formed to develop acrucible where the hypothesis that advanced computing can enhance student learning in a projectoriented environment will be tested. We have developed a facility that provides a location,previously lacking, for teams of students to
troubleshooting often challenges some students’ psychomotorskills and confuses their learning experience, especially when the system performance is alreadynon-linear and dependent on passive (resistors and capacitors) parameter tolerances and ICparameters. To mitigate some of these challenges, we propose the use of a hand-held analogcomputer as a clean alternative for implementing second/third-order, non-linear differentialequations. By seamlessly integrating the hand-held analog computer into the curriculum, we aimto simplify the oscillator design process, relying on the fundamental connections of adder,multiplier, inverter, and amplifier blocks. In doing so, we seek to enhance the studentimplementation experience, mitigating the obstacles associated
Education, 2025Performance Unveiled: Comparing Lightweight Devices Testbed and Virtual Machines for Edge ComputingAbstractTechnological innovations are accelerating across fields like engineering, IT, environmentalscience, and agriculture, the convergence of education & research has emerged as a vital andconcerning issue. Although the research in areas such as edge computing holds a lot of potentialfor real-world applications, its integration into engineering education remains marginalized dueto lack of curriculum alignment, lack of resources for faculty training, and industry-academiadisconnect. This study bridges the gap by investigating the suitability of hands-onexperimentation with edge computing frameworks to enhance
project. Because students were able to use software inany area of civil engineering, those who would previously have commented on the one-notenature of the course noted the broad knowledge gained. Additionally students noted theirappreciation for the fact that they could draw on their knowledge gained in other courses andapply them to new problems.ConclusionsIn summary, this paper presents an outline of a course in computer-aided design and analysisfocused specifically within civil engineering, although any discipline could incorporate thecourse in its curriculum. The purpose is not to analyze or assess the course quantitatively. Themodular nature of the course makes it particularly appealing as it can draw from multiplesubdivisions (focus areas
throughworkforce education. Dean Huffman has over 25 years of experience in higher education where she hasprovided leadership in the planning, implementation and assessment of curriculum and programs withinthe CTE Division. She has served on the Texas Association of College Technical Educators Board ofDirectors and currently serves on the Texoma Workforce Board of Directors.1 Current Status of the U.S. Engineering and Computing Workforce, 2019 – IRA | ASEE https://ira.asee.org/national-benchmark-reports/workforce2019/2 Understanding the Closing the Gaps Domain final https://tea.texas.gov/texas-schools/accountability/academic-accountability/performance-reporting/closing-the-gaps-domainfinal.pdf3 Rankings | Colleges with the largest endowment - Most
technology to maximize student learning process, developing curriculum and labs, and supervis- ing undergraduate students projects.Dr. Naeem Seliya Ph.D., Ohio Northern University Dr. Naeem (Jim) Seliya, PhD., is an Associate Professor of Computer Science at Ohio Northern Uni- versity, Ada, Ohio, USA. His key expertise and interests include Data Science (i.e., Machine Learning, Big Data Analytics, Data Mining, Deep Learning, Data Quality, Feature Engineering, etc.), Software En- gineering and Systems Development, Computing Sciences Pedagogy, Assistive Technology for Persons with Disabilities and the Elderly, Cyber Security Analytics, and Interdisciplinary/Applied Data Analytics. He has published about 90 peer-reviewed
Paper ID #37578How Do Students Take up Notions of Environmental Racism in anEngineering Computational Methods Course?Dr. Desen Sevi Ozkan, Tufts University Desen is a postdoctoral researcher at Tufts University in the Center for Engineering Education Outreach and the Institute for Research on Learning and Instruction Tech. She holds a Ph.D. in Engineering Edu- cation from Virginia Tech and a B.S. in Chemical Engineering from Tufts University.Ms. Cynthia Hampton, Virginia Tech Cynthia Hampton is a postdoctoral fellow with the Center for the Enhancement of Engineering Diversity (CEED) at Virginia Tech. She has done work as a
IT2017 task group, who authored the ”Curriculum Guidelines for Baccalaureate Degree Programs in Information Technology” report. She received external funding awards from the National Science Foundation, New Hampshire Innovation Re- search Center, Google for Education, and other private and corporate foundations for projects that support computing learning by students and teachers. Sabin serves on the ACM Education Board and on the ACM SIGITE Executive Committee as Vice-Chair for Education. She also represents SIGITE on the ACM Edu- cation Advisory Committee. She is a founding member of the Computer Science Teacher Association NH Chapter and of the CS4NH alliance. Sabin is an ABET Program Evaluator, a member of the
. Prior research suggests that the cultural norms about who can work in the computerscience field are embedded in education policy and curriculum design. While figures varybetween school districts, only 25% of students in kindergarten to 12th grade (K-12) receivecomputer science education in the United States, according to estimates by the National ScienceFoundation [3]. President Barack Obama sought to address inequities in CS education bylaunching the Computer Science for All (CS4ALL) initiative [4]. The program called for overfour billion (USD) in the proposed budget for 2014-15. Most of the funds were directed toindividual states and municipalities. Those funds encouraged states to build upon the successfulefforts of Hawaii, Delaware
Materials Science at Michigan State University. Dr. Briedis has been involved in several areas of education research including student retention, curriculum redesign, and the use of technology in the classroom. She is a co- PI on two NSF grants in the areas of integration of computation in engineering curricula and in developing comprehensive strategies to retain early engineering students. She is active nationally and internationally in engineering accreditation and is a Fellow of ABET.Neeraj Buch, Michigan State University Dr. Neeraj Buch is a Professor in the Department of Civil and Environmental Engineering at Michigan State University. He is also the Director of Cornerstone Engineering
engineering curriculum 11. Furthermore, theAccreditation Board for Engineering and Technology (ABET) student outcomes (accreditationcriterion three) have recently been updated to reflect the importance of students developing “anability to use the techniques, skills, and modern engineering tools necessary for engineeringpractice” 12.In response to the increased demand for computational literacy in industry sectors, modeling andsimulation practices are being implemented into course content by professors who commonly usethese practices in their research 13, 14. Situating these modeling experiences within disciplinarycontent often presents challenges, particularly when students come into the class with varyinglevels of computational experience. However
& engineering students to reason formally about programs, computations and systems, one maywell improve his or her student evaluation scores, as well as become “better liked” by thosestudents looking for an easy way out. To do that, however, would be a betrayal to the profession,and ultimately also a let-down to those very same students, especially in today’s highly competitiveworld of high-tech and global competition for the top engineering and computing talent. Ensuringthat the core learning outcomes and objectives are met, therefore, must remain a “hard constraint”imposed on any curriculum and/or teaching methodology changes to how one delivers the theoryof computing content to today’s undergraduate students in general, and to aspiring
Paper ID #28122Board 14: Materials Division: Measuring Student Learning of Crystal Struc-tures Using Computer-based VisualizationsDr. Susan P. Gentry, University of California, Davis Dr. Susan P. Gentry is an Assistant Professor of Teaching Materials Science and Engineering at the Uni- versity of California, Davis. In her current position at UC Davis, she is integrating computational modules into the undergraduate and graduate materials curriculum. She is specifically interested in students’ com- putational literacy and life-long learning of computational materials science tools. c American
Learning Differential-Equation Aspects of Fluid Mechanics with Spreadsheet-Facilitated Computational Fluid Dynamics Jean-Pierre Delplanque and Robert J. Kee Division of Engineering Colorado School of Mines, Golden, CO 804011 IntroductionIt is well known that continuum fluid flow is described at its most fundamental level by theNavier-Stokes equations, a system of nonlinear, second-order, partial differential equations.In spite of this solid foundation, the equations themselves are sufficiently difficult to under-stand and solve that they are often introduced only superficially in fluid-mechanics courses.Because it is difficult to connect mathematical
papers that describe the evolution of computational science, its growth and thefuture needs and emerging topics/areas.Career Exploration and NetworkingFor this module, we present what career exploration entails and why graduate students shouldstart this from day one in their program. The idea is to educate themselves on the various careerpaths they can choose from, understand what each path expects in terms of academicbackground, experiences, skills and expertise. Lectures include, “Career Exploration–What is itand why now?, Curriculum Vita and Resumes, Strategies and Techniques for Networking at Jobfairs and Conferences, and Developing social media presence (LinkedIn, Research Gate andGitHub) to establish visibility and enable networking.We
Virginia University. While her doctorate is in Curriculum and Instruction, focusing on higher education teaching of STEM fields, she also holds B.S. and M.A. degrees in Mathematics. Dr. Hensel has over seven years of experience working in engineering teams and in project management and administration as a Mathematician and Computer Systems Analyst for the U. S. Department of Energy as well as more than 25 years of experience teaching mathematics, statistics, computer science, and first-year engineering courses in higher education institutions. Currently, she leads a team of faculty who are dedicated to providing first-year engineering students with a high- quality, challenging, and engaging educational experience with
program to earn aminor in Computing Applications. Many of these courses are taught by non-CS faculty and thecourse contents are adapted for life sciences students. Every course is assigned a dedicated groupof peer mentors who assist instructors and students during lectures and hold separate mentoringsessions every week. The curriculum for the Computing Applications minor (aka PINC minor) consists of thefollowing five courses, and the recommended course sequence is as follows: Fall (Year 1, Semester 1) ● CSc 306: An Interdisciplinary Approach to Computer Programming Spring (Year 1, Semester 2) ● CSc 219: Data Structures and Algorithms Fall (Year 2, Semester 3) ● CSc 308: An Interdisciplinary
providing enough graduates with an appropriate background to work inthese areas. It may stem from the fact that wireless communications, DSP, and SDR are alltopics traditionally taught at the graduate level within Electrical and Computer Engineering(ECE). Thus, the majority of persons with the requisite knowledge and interest will be ECE MSand PhD graduates. While many ECE graduate level students are strong coders, softwaredevelopment skills are not the primary focus of traditional ECE programs, at least whencompared to that of a typical Computer Science (CS) curriculum. This results in a small pool ofcandidates for positions in wireless communications and SDR, made up of MS and PhDs in ECEwho happened to focus within the area of wireless
Paper ID #18871Exploring Video Projects and Media Literacy in a Computer NetworkingCourseDr. William E. Genereux, Kansas State University Polytechnic Campus William Genereux is a Professor of Computer & Digital Media Technology at Kansas State University Polytechnic Campus. He holds a Ph.D. in curriculum and instruction, and has research interests in com- puting education, media literacy and the educational use of digital media technology. He has been working with computers and technology for the past 30+ years. c American Society for Engineering Education, 2017 Exploring Video
AC 2009-904: COMPUTER-AIDED PHYSICAL MODELS: INTRODUCING NURBSAND FABRICATION IN CONCEPTUAL ARCHITECTURAL DESIGN PROJECTSStan Guidera, Bowling Green State University Dr. Stan Guidera is a registered architect and an Associate Professor in Architecture at Bowling Green State University. His areas of specialization are in Building Information Modeling and design visualization. Page 14.354.1© American Society for Engineering Education, 2009 Computer Aided Physical Models: Introducing NURBS and Fabrication in Conceptual Architectural Design ProjectsAbstractThis paper documents the activities
Paper ID #21429The Ethical Judgement Processes of Students in Computing: Implications forProfessional DevelopmentMr. Amir Hedayati Mehdiabadi, University of Illinois, Urbana-Champaign Amir Hedayati is a PhD Candidate in Human Resource Development at College of Education at University of Illinois at Urbana-Champaign. He received his B.S. in Computer Engineering from Sharif University of Technology in 2008 and his M.B.A. from University of Tehran in 2011. He has presented his research in past years at multiple conferences including American Evaluation Association, International Congress of Qualitative Inquiry, and Academy of
Paper ID #11779Examining the Interaction of Spatial Visualization Ability and Computer-aided Design and Manufacturing Course PerformanceDr. Michael Johnson, Texas A&M University Dr. Michael D. Johnson is an associate professor in the Department of Engineering Technology and In- dustrial Distribution at Texas A&M University. Prior to joining the faculty at Texas A&M, he was a senior product development engineer at the 3M Corporate Research Laboratory in St. Paul, Minnesota. He received his B.S. in mechanical engineering from Michigan State University and his S.M. and Ph.D. from the Massachusetts Institute of
. Page 26.1587.1 c American Society for Engineering Education, 2015 Torsion Mobile App for Engineering Education Using a High Performance Computer (HPC) ClusterAbstractEngineering students are rapidly expecting learning tools to be delivered on their tablets andsmart phones, including simulation tools for basic courses such as solid mechanics. To addressthis issue, a basic torsional stress simulation tool for mobile devices was developed andimplemented into a traditional first year solid mechanics class (Mechanics of Materials). The app,Torsion HPC, allows students to determine shear stresses for a variety of common torsional barcross sections. The app was used in class for discussion
Paper ID #11804Quantifying Student Progress through Bloom’s Taxonomy Cognitive Cate-gories in Computer Programming CoursesDr. Candido Cabo, New York City College of Technology/City University of New York 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