student perceptions?BackgroundEducational technology (EdTech) use has been growing, especially with the emergence ofGenerative AI, prompting study into the design of learning environments using EdTech,professional development for instructors, and student outcomes. In this study, we aim tounderstand student perceptions of an educational technology tool that serves as an audienceresponse system (ARS) and a content repository for high-quality and content-oriented questions[1]. Students can use a personal electronic device to answer concept questions. Instructors arealso able to contribute concept questions. Work detailing student practices and perceptions ofARS or “clickers” [15] in undergraduate classrooms has observed that students generally
the use ofnetwork diagrams as a discourse analysis tool.1,2Feedback has been found to be one of the most important factors for educationalachievement.3 It is especially valuable in open-ended projects where student teams canproceed along multiple paths. Our Industrially-Situated Virtual Laboratory projectsprovide a unique learning environment for the study of feedback due to the instructionaldesign and to the variation in student teams, project types, and instructors. Feedback isthe mechanism that the coach uses to guide or redirect student efforts, to challengestudent conceptions, and to enculturate students to the expectations of industrial projectwork.Our previous research on these virtual projects involved developing the coding protocolto
residence halls andate in the dining halls. They were also given some free time, where they were able to exploreparts of campus such as the campus recreation center. These elements not only provided theopportunity for participants to develop their identities as engineers, but also see themselves as apart of the identity of the institution. Through connections to students, faculty and industrymembers, these students had the opportunity to learn more about the community and begin topicture themselves experiencing college life on campus. These camps are generally seen asrecruitment tools for the institution, however it was not understood to what extent this was true.The purpose of the study was to explore the effectiveness of the recruitment of
systems), Computer Networks, and Operating Systems. Page 14.738.1© American Society for Engineering Education, 2009 Innovative Network Security Course DevelopmentAbstractNetwork security courses become increasingly popular in colleges (including communitycolleges) and universities. This paper discusses about developing the novel course of networksecurity using laboratory activities. It elaborates innovative projects that are suitable forlaboratory work in network security curriculum. It explores both hardware and softwarecomponents that are now being used for practical exercises in network security courses. Mostoften these
AC 2009-247: USING WEB 2.0 TECHNOLOGIES IN THE AUTOMOTIVEENGINEERING LANGUAGE CLASSROOM AS A TOOL TO IMPROVEWRITING SKILLS AND PREPARE UNDERGRADUATE STUDENTS FOR THEINTERNATIONAL WORKPLACEAdrian Millward-Sadler, Joanneum University of Applied SciencesAnnette Casey, Joanneum University of Applied SciencesEmilia Bratschitsch, Joanneum University of Applied Sciences Page 14.1336.1© American Society for Engineering Education, 2009Web 2.0 Technologies in the Automotive Engineering Language Classroom as aTool to Improve Writing Skills and Prepare Undergraduate Students for theInternational WorkplaceAbstractIn times of multi-national engineering companies and international job
Session 2515 Opposition to Mandatory Use of PE/FE Exams as Assessment Tools Vincent P. Drnevich, P.E. and Robert K. Tener, P.E. Purdue University, School of Civil EngineeringAbstract: The authors oppose the required use of PE/FE Exams as assessment tools. To considerthe PE exam has no merit, since it is taken by only a fraction of engineering graduates and examperformance is strongly influenced by many factors independent of the BSCE education. Thispaper then focuses on the issues involved in the proposition for mandatory use of the FE exam asan assessment tool. Opposition to such required
Session 1520 An Innovative Software Tool for Teaching Discrete Convolution from the Perspective of the Output Signal in Digital Signal Processing: Its Software Design and Implementation, and Usage in Teaching and Learning S. Easwaran Department of Computer Sciences and Computer Engineering Xavier University of LouisianaAbstractThis paper describes an approach and a novel software tool that was developed and used by theauthor of this paper to visually teach discrete convolution to students encountering it for
The University of _____ Reduced Instruction Set Computer (MARC)AbstractWe present our design of a VHDL-based, RISC processor instantiated on an FPGA for use inundergraduate electrical engineering courses and research. Our architecture incorporates asimple instruction set serially executed in a 5-stage cycle (fetch, decode, execute, memory, writeback). The design utilizes SRAM memory to store instructions and pushbuttons, switches,LEDs, and 7-segment displays provide feedback and user input. Specifically, we use the AlteraCyclone II to instantiate our system running on the Altera DE2 development and educationboard. We also leverage the associated CAD tools to build this system. Our implementationallows students the ability to easily
Paper ID #47992Experiences Using Live Streaming as an Informal Learning Tool in the FormalClassroomElla Kokinda, Clemson University Ella Kokinda is a PhD candidate at Clemson University’s Zucker Family Graduate Center in Charleston, South Carolina. Her research surrounds live streaming, software and game development, and developer communities.Dr. D. Matthew Boyer, Clemson University Dr. Boyer is a Research Associate Professor in the Department of Engineering and Science Education and an Educational Proposal Writer in the College of Engineering, Computing and Applied Sciences.Paige Rodeghero, Clemson University
Proficiency level of computational capability. It is important Page 14.356.5to note that the assumption (based on feedback from the industry panel) is that fewstudents will develop capabilities at the fluency level prior to embarking on a professionalengineering career. The levels are: Competency The individual has technical skill mastery of certain computational tools and/or programming languages. Limits in conceptual knowledge means that they are limited to solving well-defined tasks with specified tools. When faced with a more open-ended or complex problems, limits in conceptual knowledge will mean they will probably not be able to solve the
Paper ID #39394New Course Development for Internet of ThingsDr. Yanxiao . Zhao, Virginia Commonwealth University Dr. Yanxiao Zhao is an Associate Professor in the Electrical and Computer Engineering Department, Virginia Commonwealth University. Dr. Zhao’s research interests include, but not limited to: Internet of things (IoT), 5/6G communications, machine learning, cyber security, wireless energy harvesting, power management and communications in smart grid. Dr. Zhao’s research has been supported by NSF, NASA, Air Force and Virginia Commonwealth Cyber Initiative (CCI). Dr. Zhao has published over 80 papers in
Paper ID #47322Tapping into Student Behavior Insights tool to detect struggle in CS programmingassignmentsGabriel Beal, zyBooks, A Wiley BrandDr. Chi Yan Daniel Leung, zyBooks, A Wiley Brand Chi Yan (Daniel) Leung is the Senior Content Author (Labs) at zyBooks. He oversees the content creation and maintenance of labs across different titles at zyBooks. Before joining zyBooks, he was a lecturer at the School of Engineering at the University of California at Merced. He received his Ph.D. in Computer Vision from the University of California at Merced.Joe Mazzone, zyBooks, A Wiley Brand Joe is the learning tools and zyLabs
2006-2004: INFORMATION ASSURANCE FACULTY DEVELOPMENTWORKSHOPDouglas Jacobson, Iowa State University Dr. Doug Jacobson Associate Professor Department of Electrical and Computer Engineering Iowa State University Ames, IA 50011Thomas Daniels, Iowa State University Dr. Thomas Daniels Assistant Professor Department of Electrical and Computer Engineering Iowa State University Ames, IA 50011 Page 11.757.1© American Society for Engineering Education, 2006 Information Assurance Faculty Development WorkshopAbstractThe Information Assurance Center at Iowa State University received support from the
continuing with the same or new topic - Followed by students working together on a problem - A poll on the solution resultsFinally, managing very large classes is very time consuming and therefore it isimportant to have full support of the school and department to provide adequateresources such as instructors for discussion sessions, teaching assistants to work one onone with students on their issues, graders for the massive amounts of grading workinvolved, and a strong technical support team to help overcome the scalability issuesthat might be faced when using online classroom tools in class sizes for which theywere not originally designed.References 1. Heywood, J., (2005) Engineering Education: Research and Development in Curriculum and
design and discovery of point-defect mediated active behavior in solid-state ionic materials for high- and low-temperature energy conversion and storage applications. Her teaching encompasses functional ceramics (senior-level class), solid-state ionics (graduate-level class), and phases and phase relations (sophomore-level class). She continues to support the incorporation of diverse computational modules in her courses. She is also active in educational outreach to middle-school and high-school stu- dents as well as the broader community on the topics of materials for sustainability, electrochemistry, and energy conversion, developing and leading interactive lessons and hands-on demos.Prof. Jessica Krogstad, University
Paper ID #25907Online Computer-aided Design ClassDr. Dani Fadda, University of Texas, Dallas Dr. Fadda is Clinical Associate Professor of Mechanical Engineering. His background includes two decades of professional engineering practice in the energy industry where he has held numerous positions. Dr. Fadda has worked in product research and developed patented products for chemical, petrochemical, and nuclear applications. He is a professional engineer and an ASME fellow.Dr. Oziel Rios, University of Texas, Dallas Dr. Oziel Rios earned his Ph.D. in mechanical engineering from the University of Texas at Austin in 2008
mustprovide effective computer literacy courses to meet the needs of students. Developing tools toassess learning outcomes is mandatory to ensure that students are gaining the computerknowledge and skills they need to be successful in their chosen fields of study.Programs have been developed for teaching computer literacy, but little has been done to testtheir efficacy. One problem in assessing such programs is that there is no generally accepteddefinition of computer literacy. The Webster's II New College Dictionary [3] defines computerliteracy as "the ability to use a computer and its software to accomplish practical tasks." Stewart[4] says computer literacy is "an understanding of the concepts, terminology and operations thatrelate to general
Massachusetts Institute of Technology. Dr. Johnson’s research focuses on design tools; specifically, the cost modeling and analysis of product development and manufacturing systems; computer-aided de- sign methodology; and engineering education. His work has been published in the International Journal of Production Economics, IEEE Transactions on Engineering Management and The Journal of Engineering Design. Page 23.190.1 c American Society for Engineering Education, 2013 Analysis of Contextual Computer-aided Design ExercisesAbstractComputer-aided Design (CAD) technologies are an
, metacognitive, and motivation educa- tion.Dr. Semih Yilmaz, California State University, East BayMr. Akarsh Rao, Immersive and Interactive Research GroupMr. Walter Condori Jr., California State University, East BayKaran Monga, STEM Educational Gaming Research Group Karan Monga is an international student in his second year pursuing a degree in Computer Science. He is a research assistant in the STEM Educational Gaming Research Group. He is in charge of game development and programming. He also led the development of the Cal State East Bay virtual campus, by leveraging several modeling tools. Through the educational simulation game, he aims to educate college students about the importance of waste management and sustainability by
Successful Assessment of the Computer Engineering Technology Program M. Abdallah, D. Jones SUNY PolyAbstractETAC/ABET-accredited programs have demonstrated their excellence during rigorous,objective, periodic reviews conducted by external evaluators. Two main parts of the accreditationprocess are the ABET student outcomes and ABET program criteria. For computer engineeringtechnology programs, ETAC/ABET specifies (a-k) student outcomes and (a-e) program criteria.Our Computer Engineering Technology program developed eight student outcomes and mappedthem to the ABET student outcomes (a-k) and the ABET program criteria (a-e). The computerengineering technology program has
advancement in computerscience and information technology. The end objective of biomedical informatics is thecoalescing of data, knowledge, and the tools necessary to apply that data and knowledgein the decision-making process, at the time and place that a decision needs to be made.The emphasis on the structures and algorithms necessary to manipulate the informationseparates Biomedical Informatics from other medical disciplines where information Page 11.805.2content is in focus. While historically innovations in computer science and informationtechnology had found viable applications in medical data, computer scientists and ITprofessionals are venturing into
Paper ID #49398Leveraging AI-based Tools to Teach Literature Review for Engineering Studentsand Professionals: A Case StudyDr. Arezou Harraf, Dr. Arezou Harraf Head of Department of Business Studies Assistant Professor Box Hill College KuwaitDr. Yuetong Lin, Embry-Riddle Aeronautical University - Worldwide Yuetong Lin received the Ph.D. degree in Systems and Industrial Engineering from the University of Arizona, Tucson, in 2005. He was with Indiana State University from 2005 to 2016, where he became associate professor of Electronics and Computer Engineering Technology. He joined Embry-Riddle Aeronautical University
active learning.Most simulations described by Schank and co-workers deal with training to perform managerialtasks. A recent review on the potential relevance of this approach as part of the education offuture engineers has been recently presented by the author 6.In the early tools developed by Schank’s group, simulations as close to reality as possible weredeveloped, involving animations and multimedia; however, as stated by Schank 7, the cost ofsuch implementations may become prohibitive if a realistic simulation is attempted. Analternative has been proposed in the form of Story-Centered Activities (SCA), which are alsoforms of active learning in a computer environment 7. In SCA the participant performs tasks toreach a goal; however, SCA do not
problem as opposed to those where they followed a script for asolution.Assessment becomes problematic for project labs. Course objectives must be written in terms orproject specifications instead of in terms of methods and tools that are used to solve a problem.Toward this end, we are proposing a method of classifying computer engineering projects tofacilitate assessment and to clarify what course and curricular objectives are being met forparticular projects.The Computer Engineering Body of Knowledge (BOK)Classification of projects needs to be done with some standards in mind. The ABETrequirements for accreditation in computer engineering contain standards but these tend to applyto a curriculum and have insufficient detail to be used at the
noise cancellationsystem designed and implemented using available software/hardware resources. Section 5 detailthe challenges involved in teaching continually-evolving software/hardware design tools and theefforts made to reduce their learning times.2. Adaptive algorithmsThis section briefly describes two of the most recognized adaptive filter design algorithm;namely the LMS and the RLS.2.a The LMS algorithmThe most commonly-used algorithm to design adaptive linear filter is the least-mean-square(LMS) algorithm originally developed by Widrow and Hoff [5]. The LMS algorithm is based onthe principle of Minimum Mean square error and the steepest descent algorithms [6]. However,unlike the steepest descent algorithm, the LMS does not require exact
and Carr [6] have concluded that students learn 20% of the material taughtby hearing, 40% by seeing and hearing, and 75% by seeing, hearing, and doing. Highlyinteractive, well-designed computer-based-instruction (CBI) modules then offer the possibility ofachieving the 75% goal. Renshaw, et al. [7] state “students unanimously preferred modules thatincorporated animations and interactive design tools.” Others [2-5,7,8] have reported similarfindings in several engineering fields and topics. Since it seems that students prefer interactivemultimedia modules and retain more material presented in this way, the goal of any CBI moduleshould be to use interactive engaging material rather than static material.The challenge is then one of developing
tools used were different.Another project with MIS Systems [4] was conducted in our Algorithms course in Fall-2004.The following innovative teaching and learning activities we have been performing in thoseprojects:1. Industry partners and faculty members work together to develop a project according to the course objectives and industry partners’ needs. This provides a unique opportunity for the faculty members to keep themselves up to date with current technology and business activities.2. Industry partners visit classrooms to talk to students directly to explain the project in a professional manner and set the expectations. These types of visits highly motivate students and improve students’ performance.3. Students work in teams
Design of a freshman mini-project in Computing Danai Chasaki, Villanova UniversityComputing and Information Technology are among the fastest growing fields in the U.S. andparticipating in efforts to attract and retain students in this major is critical. Universities andcolleges can recruit new students from their own campuses by restructuring freshmanintroductory courses to make them more relevant to student lives. The Computing field offers aunique opportunity for exciting industry-sponsored mini-projects that involve hands-onexperience and link the applicability of computing skills to the industry world.In this paper, we discuss the design of a seven week long project-based course offered
this reason, a surveywas conducted among last year’s freshman students consisting of all computer and someundeclared engineering students at RIT.BackgroundAll freshmen in the computer engineering program at RIT take Freshman Seminar. The seminarserves as a laboratory introduction to computer engineering where students gain hands-onexperience with real-world computer engineering applications and observe practical, necessaryinteractions with other disciplines.1 They also develop laboratory skills and experience withlaboratory equipment required in subsequent courses. In addition, they are exposed to technicalwriting aspects of professional communication at a point in their academic career where they areconsciously developing classical writing
Session1620 Application of Computer Simulation in Metalcasting Course Mileta M. Tomovic Purdue University West Lafayette, Indiana AbstractModern developments in computer technology and computer software have allowed simulationof very complex physical phenomena, which was almost impossible or prohibitively expensiveeven several years ago. One such area is fluid flow involving heat transfer and coupled withphase transformation. The problem is very difficult