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
, 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
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
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
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
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
: 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
. 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
, 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
clear to the author that if this subject had to make an impact in studentsunderstanding and interest in the field of aeronautical engineering, it cannot be done through conventionallecture-based model. On the other hand, the fundamental theories cannot be overlooked in the interest offocusing on applications. This paper documents an endeavor to achieve a balance between those two byfollowing McLaren’s [6] suggestion that the theory informs practice but experiential and practicalknowledge can be employed as a means to understanding and interpreting that theory. The objective is toapproach a math-based Aerodynamics class from a context of application, student-centered (SCEL) andinstructor-centered experiential learning (ICEL) at the same time
buckling problems is integral to the study of civil, mechanical andaerospace engineering. The academic introduction to the bending of beams with constant crosssection is usually given to students of these disciplines early in the engineering curriculum in acourse in mechanics of materials. That which is presented here is not meant to supplant thefundamental understanding of the bending phenomenon but rather to provide an introduction tonumerical approximations often needed for real-world applications. It is important for students tofirst gain understanding of the static bending problems from an analytical and physical point ofview. Typical courses where static bending problems are encountered are structural analysis,advanced mechanics of materials
positions can befilled by students on a year-round basis.The Division of Professional Practice (PP) at the University of Cincinnati (UC) is Page 12.1480.6the centralized unit for the administration of all programs of cooperativeeducation. Faculty and staff in Professional Practice work with about 3,600 co-opstudents annually and are responsible for programs of cooperative education infour colleges: Applied Science (a mandatory co-op program); Business (anoptional co-op program); Design, Architecture, Art, and Planning (a mandatoryco-op program); and Engineering (a mandatory co-op program).The Cincinnati co-op model is based on alternating
AC 2011-532: TRANSITIONING A LAB-BASED COURSE TO AN ON-LINE FORMATKevin P Pintong, Binghamton University Kevin Pintong is a first year master’s student and research assistant with interests in online education.Dr. Douglas H. Summerville, State University of New York, Binghamton Page 22.1549.1 c American Society for Engineering Education, 2011Transitioning a lab-based course to an online format Department of Electrical and Computer Engineering State University of New York Binghamton Page 22.1549.2 1
optimize operations. Other research interests include the Deming System of Profound Knowledge (SoPK), developing continuous improvement programs as well as sustainable management systems based on ISO 9001, ISO 14001, and other international standards. He has over 20 years of experience in the quality management field as a quality engineer, corporate quality manager, consultant and trainer. His experience is extensive in quality management systems as wells as Lean and Six Sigma methods. In addition, he coached and mentored Green & Black Belts on process improvement projects in the manufacturing and service industries. Dr. Shraim is a Certified Quality Engineer (CQE) & a Certified Six Sigma Black Belt (CSSBB
ofthe science and engineering of earthquakes/tsunamisThe program sought to connect the peers through various co-located face-to-face and virtualexperiences. Figure 4 confirms prior findings in the literature(15) that emphasize the positiveimpact that co-located face-to-face meetings like the REU Orientation and the NEES Annualmeeting have on cohort development. More than 90% of the students reported that these events Page 26.1704.12impacted their ability to connect with their REU peers. A positive finding is that 54% of studentsreported that working with VPTs connected them with other REU students
educators. We have also implemented a Google Sheets add-on script version of tool, enablingincreased privacy plus ability for users to modify the sheet or script for customized calculations.10. AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.2111323.REFERENCES[ArKr17] Arthurs LA, Kreager BZ. An integrative review of in-class activities that enable active learning in college science classroom settings. International Journal of Science Education. 2017 Oct 13;39(15):2073-91.[Fe16] Felder RM, Brent R. Teaching and learning STEM: A practical guide. John Wiley & Sons; 2016 Mar 7.[Ka15] Kappers WM, Cutler SL. Poll Everywhere! Even in the classroom: An investigation into the impact of
, “Work in Progress - A Program to Incorporate Portable Labs Into Lecture-BasedElectrical and Computer Engineering Courses,” Proceedings of the 2010 Frontiers in Education Conference, Oct.2010, Washington DC.3 TESSAL Center (Teaching Enhancement through Small Scale Affordable Labs)www.ece.gatech.edu/research/tessal/index.html4 B.Ferri, S. Ahmed, J. Michaels, E. Dean, C. Garyet, S. Shearman, "Signal processing experiments with the LEGOMINDSTORMS NXT kit for use in signals and systems courses," American Control Conference, pp.3787-3792, St.Louis, June 2009.5 B. Ferri, J. Auerbach, Hongyi Qu, “Distributed Laboratories: A State Machine Experiment,” proceedings 2010International Conference on Frontiers inEducation: Computer Science and Computer
AC 2007-2253: PLANNING AND ORGANIZING A REGIONAL ASEE ANNUALCONFERENCE ? AN UPDATEAmir Karimi, University of Texas-San Antonio Amir Karimi is a Professor of Mechanical Engineering and the Associate Dean of Undergraduate Studies at The University of Texas at San Antonio (UTSA). He received his Ph.D. degree in Mechanical Engineering from the University of Kentucky in 1982. His teaching and research interests are in thermal sciences. He has served as the Chair of Mechanical Engineering twice; first between 1987 and 1992 and again from September 1998 to January of 2003. He severd as the Associate Dean of Engineering for four years (April 2002 to April 2006). Dr. Karimi is a Fellow of ASME, and