AC 2007-1160: A SPREADSHEET-BASED SIMULATION OF CPU INSTRUCTIONEXECUTIONRichard Smith, U. of St. Thomas - St. Paul Dr. Richard E. Smith is an assistant professor at the University of St. Thomas in Minnesota. He has over 30 years of experience in computing systems, almost half of which has focused on information security. Dr. Smith has published two books in addition to numerous articles on information security. Dr. Smith earned a BS in engineering from Boston University, and an MS and PhD in computer science from the University of Minnesota. He is a member of the ACM, the ASEE, and a senior member of the IEEE
Paper ID #29544Global Business Management Education to Industry Professionals: A Decadeof Experiences from a Professional Graduate ProgramDr. Bharani Nagarathnam, Texas A&M University Dr. Bharani Nagarathnam is an Instructional Assistant Professor and Associate Director of Master of Industrial Distribution at the Department of Engineering Technology & Industrial Distribution at Texas A&M University. He teaches graduate and undergraduate courses in Industrial Distribution and man- ages the Master of Industrial Distribution (MID) program, one of the largest distance education graduate programs at Texas A&M
Paper ID #48329Identifying Struggling Students Using LMS DataDr. Abdulmalek Al-Gahmi, Weber State University Dr. Abdulmalek Al-Gahmi is an associate professor at the School of Computing Department of Weber State University. His teaching experience involves courses on object-oriented programming, full-stack web development, computer graphics, algorithms and data structures, and machine learning. He holds a Ph.D. in Computer Science from New Mexico State University, M.S. in Computer Science, M.A. in Extension Education, and B.S. in Electrical Engineering. ©American Society for Engineering Education
and search for video content. The tool collected detailedtimestamped student behavioral data from 1,894 students across 25 engineering courses thatincluded what individual students searched for and when. A previous analysis, published inASEE 2020 [1], found that using ClassTranscribe caption search significantly predictedimprovement in final exam scores in a computer science course. In this paper we present howstudents used the search functionality based on a more detailed analysis of the log data.ClassTranscribe automatically created captions and transcripts for all lecture videos using anAzure speech-to-text system that was supplemented with crowd-sourced editing to fix captioningerrors. The search functionality used the timestamped caption
designed to assist those with visualimpairments fall into two main categories, ambient assistance and active assistance. Ambientassistance technology passively monitors the user’s environment and adds information orguidance when needed. Active assistance devices, on the other hand, are those that are explicitlyactivated by the user to perform a specific task and are subsequently turned off again. Ambient assistive technology has the benefit of always being on, so it can fit seamlesslyinto the user’s environment. An example of this type of assistive technology was tested byGowda, Hajare, and Pavan [7] in which a body camera took continuous pictures of theenvironment in front of a visually impaired walker and alerted the walker through an
in their educationinto participative ones by encouraging them to engage with the course material and exercise theircritical thinking skills6. Active learning enables students to be physically, emotionally,cognitively, and psychologically involved in constructing their own knowledge andunderstanding of course material1. In other words, active learning “allows students to customizetheir own pursuit of learning” and, thus, to stay connected to the knowledge they seek to use andcreate7. Active learning puts the control of understanding into the hands of the students, whereknowledge becomes less abstract and more tangible. Active learning is considered to be moreeffective in educating diverse classrooms and also to improve the retention in STEM
nuances of communication, learning, interactivity, etc., that can prove helpful in your understanding of the learning dynamics in the particular lab. 7. To evaluate your own intuition and lab design skills, you might design and write a detailed lab on your own. Record comments of your logic or intent for the various procedures. Set this design aside to compare later your design results with the results of the students. Having your written design on hand will help you improve your own insight and skill in preparing lab procedures for students in your other labs. Page
Paper ID #37196Perceptions of shared experiences in mentoring relationships:a collaborative autoethnographyJulie Martin Julie P. Martin is a Fellow of ASEE and an associate professor of Engineering Education at The Ohio State University. Julie’s professional mission is to create environments that elevate and expand the research community. She is the editor- in-chief of Journal of Women and Minorities in Science and Engineering, where her vision is to create a culture of constructive peer review in academic publishing. Julie is a former NSF program director for engineering education and frequently works with
- terests are biomedical signals and image processing, telemedicine, medical robotics and BME education. Dr. Krishnan has co-edited the text ”Advances in Cardiac Signal Processing”, and published numer- ous papers in conference proceedings, journal papers and book chapters. He has been developing novel models in BME curriculum design, labs, interdisciplinary project-based learning, co-ops, internships and undergraduate research. Recently he served on the NSF Advisory Committee on Virtual Communities of Practice. He keeps active memberships in AAMI, ASEE, ASME, BMES, IEEE, BMES, IFMBE, and ASME. He was selected to join Phi Kappa Phi, Sigma Xi, and the American Romanian Academy of Arts and Sciences. He was elected as a
Paper ID #38614An Evidence-Based Approach for Deeper Understanding of Student, Teacher,and Learning DynamicsDr. Teresa Piliouras, Technical Consulting & Research, Inc. Dr. Teresa Piliouras is CEO and founder of Technical Consulting & Research. She is an IT consultant, educator, inventor, and author. Previously, she was an industry professor of Computer Science and Man- agement of Technology at New York University Tandon School of Engineering, and a visiting Professor of Computer Science at Iona College. She held senior management and technical positions at Accenture, Boehringer Ingelheim, PepsiCo, Pitney Bowes, and
learningtool, according to the students. They reported that their knowledge of the Rankine cycle (and itsassociated thermodynamic concepts) increased. They found discussing and using the RC morevaluable than performing calculations with the data. In addition, the level of the material wasappropriately challenging for upper-level engineering students.The survey results were also compared from university-to-university (LTU vs. UE). Theseresults are useful for two reasons. First, the thermodynamics courses and thermal-sciencelaboratory courses have different formats between LTU and UE. One of the goals for the UEthermal-science laboratory is for the students to perform a preliminary theoretical predictionexercise for the equipment. This allows the
learning practice are presented and discussed,and transformative outcomes that can be linked to seminar participation presented.IntroductionWomen have historically been underrepresented within the ranks of tenured or tenure-trackfaculty with Science, Technology, Engineering, and Mathematics (STEM) disciplines [1]. This isespecially so at higher academic ranks. The National Science Foundation (NSF) has recognizedthis issue and has been funding Institutional Transformation (IT) projects geared towardsremedying this shortcoming. In fall 2014 Oregon State University (OSU) received such anaward, created OREGON STATE ADVANCE, and established its overarching goal to serve as acatalyst for advancing the study and practice of equity, inclusion, and social
Society for Engineering Education, 2015 Addressing Barriers to Learning in Linear Circuit AnalysisAbstractSome possible barriers to student success in introductory linear circuit analysis courses areanalyzed, particularly for DC circuits and general circuit topology issues. We argue that certainconcepts actually needed to solve circuit problems are often not taught as explicit principles, andthat conventional instruction often fails to address typical conceptual misunderstandings. Inparticular, we discuss the concepts of hinged circuits, redundant circuit elements, and voltageand current-splittability of circuit problems, the replacement theorem, iterative calculations, andthe several types of problems to which one can actually
industry to secure the necessary equipment to provide students withexpected hands-on AM industry skills. A direct need for advanced technical engineering in thelocal community and industry drove Green College’s AM program development. A GreenCollege faculty member explained this program framing needed to be quick for students tocomplete the program in time to meet pressing local industry’s hiring needs. During this time,program leaders from Green College collaborated with the Florida Department of Education toestablish specific engineering technology frameworks. In addition, at this time the Green Collegeleaders also aligned their AM curriculum with the FLATE curriculum recommendations.Green College has a small AM faculty with two full-time
most EM simulation tools have a drawback. Most of theseprograms focus on the design and simulation of the single elements and do not offer an efficientsimulation tool to include the array geometry and array signal processing together in onepackage. If an engineer desires to develop a certain array pattern and array processing algorithmthat work together to acquire incident signals when arriving from certain angles, the engineerwould have to completely design the entire array (i.e. specify its geometry, material composition,surrounding material environment, EM environment, etc). The problem can be arranged bycopying and repeating the antenna element into structure a number of times. For every change inthe array arrangement or feed arrangement a
use, e.g., using abusivelanguage to describe an instructor [17]. In addition to the personal harm done to instructors, biascan derail the careers of minority-group instructors as course evaluations often play an large rolein determining tenure and promotion [18, 19]. Our case study builds on the well-establishednotion of bias in student evaluations, and we investigate how much bias exists in writtenevaluations and whether that bias changed when courses switched to virtual format in 2020.3 Methods3.1 Data CollectionOur new data set, henceforth CCE for “COVID-19 Course Evaluations,” comes from a publicuniversity in the U.S. Midwest. The university’s registrar provided 23,882 course evaluationsfrom the College of Engineering collected over six
communicate to the processors. An algorithm is a high level representation of a program. It consists of steps of statements that is unambiguous and may be interpreted by a computer. An algorithm must terminate. An algorithm is Proceedings of the 2009 American Society for Engineering Education Pacific Southwest Regional Conference 347used to reason about a specific recipe to solve a problem using a computer. It is implemented as a program using programming language. A programming language is one that can express an algorithm and may be compiled into a low
ourdevelopment phase. We realized early on that maintaining fresh data would be justas challenging as creating a new website.This career exploration site needed to reflect that manufacturing is dynamic – thattechnologies evolve; companies figure out new ways to tackle problems; new productsare developed that require new materials or different ways to make existing productsbetter – which means that if students want to understand a complete picture, the websitecontent must be dynamic to keep students interested. The best scenario is when studentswant to “come back” because they have a variety of ways to explore the information andit’s evident that a site’s content changes and continues to grow.So our idea of a web portal to address this project embodied a
, project-based learning, and practicum-based assessment. Dr. Ertekin serves as the faculty advisor for the student chapter of the Society of Manufacturing Engineers (S058). Involved in research, Ertekin has received funding from the National Science Foundation (NSF), private foundations, and industry. His research has focused on the improvement of manufacturing laboratories and curricula and the adoption of process simulation into machining and additive manufacturing practices. His areas of expertise are in CAD/CAM, manufacturing processes, machine and process design with CAE methods, additive and subtractive manufacturing, quality control and lean manufacturing.Dr. Richard Chiou, Drexel University Dr. Richard Chiou is
more understandable and interesting.On the other hand, do engineering students require the abstract definitions of Cauchy’s analysis?No. Most of today’s engineering work requires an understanding of continuous smooth curvesand surfaces. Euler would feel quite at home in many of today’s beginning engineering andphysics classes. True, electrical engineers, later on, will need the concepts of Fourier series tostudy periodic signals. And even the Fourier series, initially, have a visual interpretation andGibb’s curious phenomena can be introduced without a formal proof but with a warning. Thereare rarely any formal proofs on the P. E. exams. Engineers need to be aware of the interval ofconvergence of Taylor series. At some later time, engineering
mental models andconnecting the model to prior knowledge. They posit that the ability to extract key ideas fromnew material and integrate it into existing mental models leads to development of mastery overcomplex content.In the context of an undergraduate course on computer networking, topics such as configuring,securing, troubleshooting, and managing routing across subnetworks in the computer networkingarea require the student to develop a practical hands-on understanding of network models,protocols, hardware, cabling, subnetting, routing and switching. This encompasses a large set oftheoretical and practical competencies. While there are several resources available for learningabout these topics, according to [3, p. 9] commenting on the
form cone shapes on 3003 aluminum sheets. Two different tool diameters of 6mm and 20 mm were used, and the formed cones were briefly compared using a surface tester and a 3Dscanner.REFERENCES1. Kumar, A., et al., Forming force in incremental sheet forming: a comparative analysis of the state of the art. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2019. 41(6): p. 1-45.2. Trzepieciński, T., et al., Emerging trends in single point incremental sheet forming of lightweight metals. Metals, 2021. 11(8): p. 1188.3. Belchior, J., et al., Offline compensation of the tool path deviations on robotic machining: Application to incremental sheet forming. Robotics and Computer-Integrated Manufacturing, 2013. 29(4): p
. An inverted teaching model for a mechanics of materials course. In Proceedings of the ASEE Annual Conference & Exposition, 2012.[73] K.J. Topping and S.W. Ehly, editors. Peer-Assisted Learning. Lawrence Erlbaum Associates, 1998. ISBN 9780805825022. URL http://books.google.com/books?id=UZv6grfgeF4C.[74] R. Toto and H. Nguyen. Flipping the work design in an industrial engineering course. In Frontiers in Educa- tion Conference, 2009. FIE 2009. 39th IEEE, pages 1–4. IEEE, 2009.[75] J.R.H. Tudge and P.A. Winterhoff. Vygotsky, Piaget, and Bandura: Perspectives on the relations between the social world and cognitive development. Human Development, 36:61, 1993.[76] Udacity. Udacity, 2012. URL http://www.udacity.com/udacity.[77
: MS in Sustainable Design - Building and Site Integration inSustainable Design: “The course provides students with knowledge of site design and waterconservation strategies, methods and tools. Based on understanding ecological principles,students will research new approaches to integrated site and building design. Exercises, casestudies, and application of tools will provide students hands-on opportunities to investigatedesign issues and determine outcomes. 4-Field trips to exemplary projects will be part of theclass.”Our Existing Site Planning and Design Course Description States:“An advanced course in the utilization of engineering and architectural principles from conceptthrough construction techniques of a site development. Computer aided
: MS in Sustainable Design - Building and Site Integration inSustainable Design: “The course provides students with knowledge of site design and waterconservation strategies, methods and tools. Based on understanding ecological principles,students will research new approaches to integrated site and building design. Exercises, casestudies, and application of tools will provide students hands-on opportunities to investigatedesign issues and determine outcomes. 4-Field trips to exemplary projects will be part of theclass.”Our Existing Site Planning and Design Course Description States:“An advanced course in the utilization of engineering and architectural principles from conceptthrough construction techniques of a site development. Computer aided
, Computational Process, IBM J. Res. Dev. 5 (1961) IOP Conference Series: Materials Science and Engineering, 183–191 225, IOP Publishing, 2017.[7] H. Thapliyal, N. Ranganathan, Design of reversible [20] N.T. Le, J.W. Wang, C.C. Wang, T.N. Nguyen,sequential circuits optimizing quantum cost, delay and Automatic defect inspection for coated eyeglass based ongarbage outputs, ACM J. Emerg. Tech. Comput. Syst. 6 (4) symmetrized energy analysis of color channels, Symmetry(2010) Article 14, pp. 14:1–14:35, Dec. 11 (12) (2019) 1518.[8] Himanshu Thapliyal, Nagarajan Ranganathan, 2022 A [21] G. Nikhil, B. Sharanya, P.B. Reddy
language and graphics the work that weundertake. Since many university and high school students have access to the Internet andWeb browsers, this information will be available as an outreach and recruiting tool tostudents not exclusively in the sciences and engineering.2. Mathematical Descriptions of Systems-Related ConceptsIn this section, we will briefly review the mathematical descriptions of key conceptsassociated with 1-D signals and systems. Most definitions have been borrowed fromZiemer et aL2132.1. ConvolutionThe response of a linear, time-invariant (LTI) system can be expressed in terms of theconvolution integral, making it one of the most important concepts behindcommunications, control, and filtering theory. For an LTI system with
AC 2007-1919: STUDENT UNDERSTANDING IN SIGNALS AND SYSTEMS: THEROLE OF INTERVAL MATCHING IN STUDENT REASONINGReem Nasr, Boston UniversitySteven Hall, Massachusetts Institute of TechnologyPeter Garik, Boston University Page 12.1317.1© American Society for Engineering Education, 2007 Student Understanding in Signals and Systems: The Role of Interval Matching in Student ReasoningAbstractThis study was designed to investigate student understanding in signals and systems, particularlythe study of continuous-time linear, time-invariant systems. In this paper, we report on a principalfinding of this investigation, namely, the importance of the interval
informatics and medical informatics lab. Prior to that Dr. Kahanda worked as an Assistant Professor in the Gianforte School of Computing at Montana State University. He received his Ph.D. in Computer Science from Colorado State University in 2016 in the area of Bioinformatics, a Master of Science in Computer Engineering from Purdue University in 2010, and a Bachelor of Science in Computer Engineering from University of Peradeniya, Sri Lanka in 2007.Nazmul H. Kazi, Montana State University Nazmul Kazi is a master’s student of Computer Science at Montana State University. His research inter- ests include the application of Artificial Intelligence, Deep Learning, Natural Language Processing, and Parallel Computing
engineering principles. This hands-on approach enables students to become familiar withmethods of manufacturing with provided accessibility to a mechanical laboratory. Such projectsencourage students to investigate methods of subtractive and additive manufacturing. This includesequipment for rapid prototyping such as 3D printing, CNC, and engraving.This paper describes the development of the integrated Pico-hydroelectric system and water filtration, andits adaptation to an experimental learning module. We also detail the level of attainment of the StudentLearning Objectives for the capstone project described and the newly developed learning objectives forthe laboratory activities created around this experiential module.Design and development of such