the areas near campus, but everyone else was discovering it for the first time Low Status Weakness in the social, i. Sitting in a classroom not understanding the presented 23% academic, or work domain material while others are making in-depth technical relative to one’s peers questions ii. I have more than once, found myself staring at a D on a test that was handed back while the professor lauds the class for achieving a B
cost of simpler algorithmsto improve runtime becomes more apparent when one observes obvious errors in scene analysis.Finally, by visualizing algorithm behavior first-hand, students are prompted to investigate newproblems by considering desired behaviors and new applications for these systems.Proceedings of the 2012 Midwest Section Conference of the American Society for Engineering Education 11To these ends, we make available a software package25 that implements a basic real-time videoanalysis system. This system exploits the OpenCV library29 and demonstrates functions forimage capture from a USB webcam, manipulation of image color spaces
indicative of the independent nature of these indicators and confirms theprevious analyses based on Kendall's tau. Notice that this 90º relationship existed not only forthe control semesters where each two-member team submitted lab reports but also for the sologroup where each individual student performed the laboratory exercises and submitted their ownlab report. Page 22.544.9Figure 5: Biplot for first control semester Figure 6: Biplot for the second controlrepresenting the data points (x) and variables semester. The data scales are represented by(vectors) projected onto the first two principal the left-hand and bottom axes and the right
variation within the same item such as the moisture level, density of materialinside the package such as soil material and temperature.References[1] G. Aryal, K. Chanda, & L. Mapa. Statistical Analysis of the Effect of Temperature on RFIDTag Readability. Mechatronics 2010 Swiss Federal Institute of Technology ETH, Zurich,Switzerland, 2010[2] L. Mapa, & S. J. Khan. Radio Frequency Identification (RFID) Tag Detection in 3-D.Proceedings of the 2016 American Society for Engineering Education Annual Conference &Exposition, June 26-29, 2016, New Orleans, Louisiana[3] T. Kim, L. Mapa, D. Ramamurthy and F. Goni (2017) Investigating the effect of temperaturein RFID Technology, ASEE, 2017, Paper ID # 18531.[4] L. Mapa, & R. Gummereddy. Effect
. c American Society for Engineering Education, 2017 A survey of Hybrid architectural approaches for optimizing power and performance of GPGPUDr. Reza Raeisi, Vidya Sagar Reddy Gopala, Electrical and Computer Engineering Department, California State University, Fresno, CA 93740, USA.Abstract:Recent trends of drastic improvement speed of the processors have led to application of GeneralPurpose Computing on Graphics Processing Units (GPGPU). We intend to present aneducational study of two different hybrid architectural approaches for designing global memoriesof GPGPUs using different hybridization techniques. We address a hybrid memory organizationand design of GPGPU considering emerging
of project management”. In this paper we shall report on the currentformat of the course and how it overcomes many of the problems with our initial offering.Although only part way through the second offering, we recognize the need for new changes inorder to account for the increased maturity and experience of the students returning from their16-month internship experience. The changes needed to handle the 80% of our students who willreturn from internship in September 1999 are discussed.1. IntroductionTwo years ago the Canadian Engineering Accreditation Board (CEAB) placed a requirement thatall engineering students experience an extensive 4th year design project. With accreditationlooming, the Department put on an experimental team project
areas of scholarship are computer science education research with a current focus on diversity and improving the quality of research to examine effective practices on a large scale. She oversaw the recent development of , a website with manually curated data from over 500 articles and a list of over 90 instruments for evaluating computing education. American c Society for Engineering Education, 2021 UNDERSTANDING THE LANDSCAPE OF DIVERSITY EFFORTS IN K-12 COMPUTING USING ‘- Adrienne Decker (University at Buffalo) Monica McGill (Knox College, CSEdResearch.org) 1Good morning
several courses at University of Toronto covering a broad range of topics in mechatronics, data science and machine learning / deep learning.Chirag Variawa, University of Toronto Prof. Chirag Variawa is the Director, First Year Curriculum, and Associate Professor, Teaching-stream, at the Faculty of Applied Science and Engineering, University of Toronto. He received his Ph.D. from the Department of Mechanical and Industrial Engineering, and his B.A.Sc. in Materials Science Engineering, both from the University of Toronto. His multidisciplinary teaching and research bring together Engineering Education and Industrial Engineering to identify and mitigate learning barriers for diverse student populations
AC 2007-3: INTEGRATING WIND AND SOLAR ELECTRIC ENERGY INTOPOWER SYSTEM TEACHINGKala Meah, University of Wyoming Kala Meah received his B.Sc. from Bangladesh University of Engineering and Technology in 1998 and M.Sc. from South Dakota State University, SD, USA in 2003, both in Electrical Engineering. Mr. Meah is currently working on his Ph.D. in Electrical and Computer Engineering Department at the University of Wyoming. His research interest includes electrical power, HVDC transmission, renewable energy and energy conversion.Steven Fletcher, University of Wyoming Steven Fletcher is a staff engineer in the motor testing and training center at the University of Wyoming. The field of
and is actively involved in promoting engineering education.Prof. Scott A Kuhl, Michigan Technological University Scott Kuhl is an Assistant Professor of Computer Science and an Adjunct Assistant Professor of Cognitive & Learning Sciences at Michigan Technological University. He received his Ph.D. in Computer Science from the University of Utah in 2009. His research interests include immersive virtual environments, head- mounted displays, and spatial perception. A link to his web page can be found at http://www.cs.mtu.edu/.Mr. Mark Norman Highum, Bay College Mark Highum is currently the Division Chair for Technology at Bay College. He is the Lead Instructor for Mechatronics and Robotics Systems and also teaches
questions. Typically IFAT forms are graded by awarding partial credit ifstudents scratch off multiple answers. If a revealed response is incorrect, learners can adjust andre-attempt the problem. The IFAT system has been used in many classrooms and been shown toreduce student anxiety in high-pressure testing situations [14].However, IFAT forms and truly immediate feedback’s impact on student learning is called intoquestion based on research in the cognitive sciences. Recent work shows that immediate feedbackmay not be helpful in long-term retention. In an online quiz, simply altering the delay betweenbetween entering a response and viewing the correct answer by four to twelve seconds was foundto improve long term retention when compared to
Paper ID #39902Evaluation of a Work-Integrated Learning Program for Undergraduate STEMOutreach InstructorsDr. Lisa Romkey, University of Toronto Lisa Romkey serves as Associate Professor, Teaching and Associate Director of the Institute for Studies in Transdisciplinary Engineering Education and Practice.Daniel Munro, University of TorontoVirginia HallMs. Tracy L. Ross, Actua Tracy Ross holds a B.Sc. (Hons) in Environmental Chemistry from Queenˆa C™s University and a M.A. in the History and Philosophy of Science and Technology from University of Toronto. She has overseen high quality, targeted STEM outreach programs at a
the students were asked to logon to their blackboard account on their laptops and answer a set of questions in 50 minutes. Theonline and traditional portions of the exams were conducted in two different class sessions. Page 24.1311.3The online quizzes were designed as a tool to assess the students’ understanding and knowledgeof the class materials. To encourage the class attendance, the quizzes were unannounced wherethe instructor would ask the students to log on to the blackboard system and use the designatedsection. Figure 1 presents a screenshot of a typical online quiz question.Figure 1. Online Quiz Question ExampleIn this format
AC 2012-4824: INTRODUCING MEMO WRITING AND A DESIGN PRO-CESS: A FIVE-WEEK SIMULATOR PROJECTDr. S. Scott Moor, Indiana University-Purdue University, Fort Wayne Scott Moor is an Associate Professor of engineering and Coordinator of First-year Engineering at Indi- ana University-Purdue University, Fort Wayne. He received a B.S. and M.S. in chemical engineering from MIT. After more than a decade in industry, he returned to academia at the University of California, Berkeley, where he received a Ph.D. in chemical engineering and an M.A. in statistics. He is a registered Professional Chemical Engineer in California. His research interests include engineering education with an emphasis on developing and testing educational
motivation than their male peers, but that eventswhich are designed to be welcoming to gender-diverse participants can increase their intrinsicmotivation.1 IntroductionCo-curricular STEM-focussed events like hackathons are growing in popularity at universitycampuses worldwide, however, there have been few examinations of differences in participationrates at these events based on student identity. This paper investigates motivational differences indifferent student populations when participating in hackathon-type events to better understandhow these events are serving the diverse student populations in engineering programs. It is wellunderstood that motivation influences the intensity, quality, and persistence of learning instudents [1]. Self
learned by many thousands of students across dozens ofuniversities, and usage continues to grow. RIOS is also likely used by hundreds of practicing engineersto achieve lightweight multitasking in their products.9. AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1563652 and 2111323.10. References[DiBa07] Diaz A, Batista R, Castro O. Realtss: a real-time scheduling simulator. In2007 4thInternational Conference on Electrical and Electronics Engineering 2007 Sep 5 (pp. 165-168). IEEE.[FreeRTOS21] FreeRTOS, https://www.freertos.org/, 2021.[Ga08]] Ganssle J. The art of designing embedded systems. Newnes; 2008 Jul 3.[LeSe17] Lee EA, Seshia SA. Introduction to embedded systems: A cyber-physical
partnered with Texas Community Collegesto teach hands-on sustainable construction techniques, and the chapters areinterested in a similar relationship with in-state research universities. Without Page 25.277.3question, the proposed structured sustainable construction course would facilitateclimate change and sustainability related research collaboration between facultyand research staff. This effort will also be used to seed long-term initiatives tofurther develop TAMU as a national leader in climate change and sustainabilityteaching and research.Previous similar course settings, lessons learned and recommendationsThe first time that the author combined two courses
pursue PhD degree where I can work on AI problems that serve science and society.Dr. Catia S. Silva, University of Florida Catia S. Silva is an Instructional Assistant Professor in the ECE department at the University of Florida. Her expertise is in machine learning, data science and engineering education. Dr. Silva is a GitHub Campus Advisor and can help integrate GitHub with your courses. ©American Society for Engineering Education, 2024 Adaptive Affect-Aware Multimodal Learning Assessment System for Optimal Educational Interventions Abstract— Researchers recognize the potential of affective, or emotional, features inenhancing learning systems, but many current
T= ( ) 2Where is the density of the material, is the cross-sectional area of the beam and is thedeflection shape of the neutral line of the beam that can be expressed in terms of the set ofadmissible functions as7 W(x) = ( )Where represent the set of admissible functions that in the classical Rayleigh-Ritz methodsatisfy the boundary conditions of the problem. For the problem at hand consider the followingset of admissible functions: ( )=The minimization of the strain energy gives the terms of the stiffness matrix defined as: K
author or originator is vested, for a specified period, with thesole and exclusive privilege of multiplying copies of the same and publishing and selling them.Copyright infringement is the unauthorized use of copyrighted material. Page 10.642.3 “Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright 2005, American Society for Engineering Education” Page 4 of 13Thus, copyrighted software cannot be infringed without risk. In other words, if one were todistribute
offered by our conventional textbooks. Engineers and techniciansmust be able to use mathematical concepts and facts to perform their duties. They do not need tobe able to prove everything or to have the material presented in an incomprehensible form,selected to make proving easy.Calculus is neither abstract nor imaginary. From the student’s view calculus is initiallyunknown, remaining to be discovered and explored. There is nothing mystical about the curvesstudied in calculus. The curves can intersect, rise, fall, and have peaks and valleys. The curvesturn up, turn down and can have tangent lines and inflection points. If two curves intersect attwo points, there will be an area between the curves. Pick two points on the curve and there is
withstudents across all majors and faculty working together from business, engineering technology,and liberal arts. Co-learning is an approach that allows students to work together in diversegroups and gives both high and low ability learners across various subjects the opportunity tolearn from each other (Sultan, Hussain, & Kanwal, 2020). On the other hand, co-teaching is acollaborative model of teaching wherein two or more instructors work together to teach the samecourse. A strong correlation has been found between the perceptions of collaborative teachingand the motivation for student achievement (Anwar, Asari, Husniah, & Asmara, 2021),providing insight into the potential effectiveness of this method of teaching. By combining
throughcollege and into careers in science, technology, engineering, and mathematics (STEM) andcareer and technical education (CTE), with the focus of this project on information technology(IT). The project gathers data about current and former students who started in the same cohort,includes institutional research data (e.g., grades, demographics, course-taking) and merges thesedata with employment data from surveys and lived experiences obtained from interviews. Thesedata are analyzed to identify potential pathways and critical junctions that may lead to studentsuccess or other outcomes. The research team is led by a doctoral granting institution and acommunity college, and includes four additional community colleges that collectively serve ruraland
the class. • Checks individual and/or groups of students’ understanding of the material/approach 2. Learning is enhanced when it is more like a team effort than a solo race. Good learning, like good work, is collaborative and social, not competitive, and isolated. Working with others often increases involvement in learning. Sharing one's ideas and responding to others' reactions sharpens thinking and deepens understanding. Examples:The instructor... • Provides discussion prompts that help to guide and elicit student participation in class discussion activities. • Facilitates class discussions by encouraging, probing, questioning, summarizing, etc. • Has students work on problems in teams
grows it needs well educated workers whichuniversities provide. Each needs the other and both impact the other’s mission.Collaborations between industry and universities are key to America’s future success. Looking tothe future, industry will play an even larger role in university research efforts but competition forsuch partnerships will increase. To build successful industry alliances, universities shouldcarefully evaluate their IP policy, employ contracts that are clear and set appropriateexpectations, and focus on the value of the relationship as a whole as opposed to just a fundingsource for a one time project.Bibliographyi National Science Foundation, Science and Engineering Indicators, 2010. URL:http://www.nsf.gov/statistics/seind/10
instruction. Using CBE reduces the amountof instructional time required and increases the student’s attitude towards learning7. Althoughresearch has shown CBE as being a highly effective learning tool, it pales in comparison to ahuman tutor5. Therefore, CBE should be used as a supplement to traditional instruction and notas a replacement8. In this investigation, we will determine how a computer-based system canmonitor student engagement in a manner comparable to that of real classroom teachers.II. Related WorkCBE only focuses on comprehension of material9 and not real-time engagement, which isessential for optimal academic achievement. Comprehension of material is determined solely bythe validity of answer selections. Many standardized tests today
onlinelearning content instead of a textbook to ensure reading before class, and online auto-gradedhomework and programming assignments to provide extensive practice and immediate feedback.A key omitted feature is videos; we intentionally have not made use of video lectures in anysubstantial way. A common theme from students is that they did not originally want to take thecourse online, but afterwards saying they liked the course better than in-person courses duelargely to the surprisingly-extensive live online interaction.1. IntroductionOur department's CS1 class serves about 1,000 students per year, about half CS/CE majors andhalf non-majors (engineering, science, math, and more). In 2012, our department decided to tryteaching one CS1 section online
Professor in the Computer Science Department at the University Of Southern California (USC). Kim received a Ph.D. from the USC, and master’s and a bachelor’s degrees from the Seoul National University. Her current interests include pedagogical discourse analysis, human-computer interaction, social network assistance, and assessment of student collaborative online activities.Erin Shaw, University of Southern California Page 25.1184.1 c American Society for Engineering Education, 2012 Stuck in the Middle: The Impact and Prevalence of Frustration in Online Question-Answer
Paper ID #18880Lessons learned from a pilot study: Understanding the processes preserviceteachers use to write lesson plansMiss Marissa Capobianco, The College of New Jersey I am currently a graduating senior at The College of New Jersey studying Elementary Education and iS- TEM (integrated Science Technology Engineering and Mathematics) with a specialization in Technology and a minor in Environmental Sustainability Education.Dr. Courtney June Faber, University of Tennessee Courtney is a Research Assistant Professor and Lecturer in the College of Engineering Honors Program at the University of Tennessee. She completed her
job of the Principal Investigator and Program Manager to ensure that both Objectives areultimately satisfied.Outcomes for the Academic ObjectivesThis program has produced three MS graduates from this work, one PhD, and three MaterialsScience PhD students who are in the pipeline and have passed their comprehensive exams. TheMontana University System initiated an interdisciplinary Materials Science PhD program, butwithout sustained funding for students to complete their PhD. This project has supported themost number of Materials Science PhD Graduate Research Assistantships compared to any othersponsored program project. At any given time, the project supports approximately 13 graduatestudents, and 10 undergraduate researchers as a “Community of