material …to become competent on job skills -0.3 1.3 …to balance workload between …to miss important deadlines in one -1.1 classes area because other areas are hectic 0.1 …to let the professor drive the Typical Engineers take 1.4 learning responsibility to learn new skillsTable 2. Parallel questions rated on five point Lickert scale by students.The student ratings showed a marked difference between what was considered acceptable for astudent versus a professional engineer. The aggregate responses indicate the class considered itacceptable for students to individually choose their effort level
terms of reflective thinkingbased on logic, rationality and synthesis was discussed with a conclusion that critical thinkingmust be hands-on while the theory of critical thinking can be taught4. In a 2015 Newsweekarticle addressing the high school education, the necessities of “rote memorization, deadeningrepetition and humility before intellects greater than your own” were emphasized for the criticalthinking mandate because “one cannot think critically without quite a bit of knowledge”5.Memory traditionally has been classified into long term memory, short term information storagememory, and short term working memory for the manipulation of information, together withimplicit memory for performing a procedural task6. Brain studies have
Page 11.1131.12theory topics, such as winding details, to applications of the technology. As discussed by Li and 4Challoo , this shift in focus is particularly true in an electrical machinery course which doesn’thave the same student appeal as some other technical areas. Engineering education needs to 7connect with today’s video generation . While simulation software applications may helpaddress the learning styles of incoming students who have spent many hours playing computergames, they still need a laboratory with hands-on activities.Simulation activities could be used to empower the student to investigate applications ofelectrical machines without the costs and safety considerations of a
, American Society for Engineering Educationand students use a text as guide, but include current resources to keep the course up withthe state of the industry.The authors approach this topic from the viewpoint of a number of years of recentindustrial experience along with 2 years of teaching introductory networking courses toComputer Science and IT students. The course described is currently being taught andsome feedback from earlier experience is provided. The importance of hands-onexperience cannot be over emphasized.This paper is organized as follows: First, we describe the fundamental concepts that arethe core of the curriculum. Second, we present our desired outcomes along with somebackground that guided our thinking about curriculum. Next, we
studentsto stay motivated and complete STEM course requirements. Findings inform future research, aswell as lessons and best practices for improved STEM student and institutional adaptability andresiliency. These will minimize disruptions to student functioning and performance, reduceattrition, and strengthen progression into the STEM workforce during high-risk conditions suchas pandemics. With caution, findings may be extended to non-STEM and non-studentpopulations. Future studies will focus on long term impacts of COVID-19 pandemic on STEMperformance.AcknowledgementsThis material is based upon work supported by the National Science Foundation (NSF-RAPID)program under Grant No. (NSF 2028811). Any opinions, findings, and conclusions
engineering. c American Society for Engineering Education, 2016 Touching Water: Exploring Thermodynamic Properties with Clausius AppThe effect of pressure and temperature on the properties of water is a critical concept withinengineering curriculum. Instructors spend considerable effort training students to use referencedatabases; traditionally in tabulated forms or more recently with use of computer-aidedreferences. The reliance on tables however, places undue emphasis on the property values overproperty relationships. Understanding thermodynamic relationships and the trends are of greatervalue from a student learning perspective than the numeric value of the properties. This aspect ishighlighted by the practice of
Paper ID #37189Improving learning experience and student engagement in aMathematics Course through real time interactivepresentations and anonymous collaborationGibrán Sayeg-Sánchez Dr. Gibrán Sayeg-Sánchez is professor – consultant in the Science Department in Tecnologico de Monterrey, Puebla campus. He studied a PhD in Financial Science in EGADE Business School (2016), a MSc in Industrial Engineering in Tecnologico de Monterrey (2011), and a BEng in Industrial and Systems Engineering in Tecnologico de Monterrey (2006). Dr. Sayeg-Sánchez has more than 11 years of experience in teaching statistics, mathematics, and
science majors, one software engineering major, two homeland security majors, and two unmanned aircraft systems majors • One Freshman, four Juniors, and four Seniors • The average cumulative GPA was 3.46 with a range from 3.274-3.771 • Seven ROTC participants, two non-ROTC participants • None of the students had participated in non-course related research during the academic year prior to this research • 1 student had participated in non-course related research during the summerWhile ONR sponsored the program and preferred students to also be participating in ROTC,there was no requirement that students be affiliated with the military. Students were recruited inlate August and early September via email from the ROTC
relationships1.This paper establishes the ground rules for creating and keeping industrial partnerships alive andviable. If the ideas presented here are implemented appropriately, this relationship can prosperfor many years to come with some additional positive side effects; continued industrial support.By taking advantage of these partnerships, colleges can gain access to new state-of-the-artequipment for their laboratories. In fact, most companies are more than willing to help if askedproperly.I. IntroductionThere are many reasons why the education establishment should align themselves with industrialpartners. One of the principal reasons is to gain assistance in the form of materials needed toteach state-of-the-art technologies to their students. For
science, indigenous studies,agriculture, and circular economy.The SUSE program has a common first year, which consists of 10 courses in mathematics,sciences, computing, engineering principles, communications, and design. A design backbonethroughout the program will form critical-thinking and problem-solving skills and provideopportunities to interact with local industry and researchers in many different fields of study.Most courses have hands-on experiential laboratory sessions to reinforce concepts taught inlectures. Leadership development is fostered through open-ended projects and group work.Students will be able to focus on one of four themes in their last year: sustainable systems forcities and communities, for energy and resources, for
criticalimportance to students pursuing degrees in science, technology, engineering, and mathematics,for it represents an accumulation of the body of knowledge of the discipline. Research showsthat educational institutions facilitate the development of critical thinking when they incorporatean active learning style in their instructions and laboratory experiences. Experiential learningmodels presents us with the four modes on which learning styles are based – concreteexperience, reflective observation, abstract conceptualization and active experimentation. Studiesconducted on knowledge retention, found that using these learning modes, individually and inpair wise combination, from twenty –to- sixty percent increase in retention has been achieved.However
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
member of the teams for damage evaluation caused by earthquakes in Mexico City, Mexico; California, USA; Puerto Plata, RD; and Chile. He has conducted research projects supported by National Science Foundation (NSF), Federal Emergency Management Agency (FEMA), and Nuclear Regulatory Commission (NRC), among others. He is member of the Earthquake Engineer- ing research Institute (EERI), the American Society of Civil Engineers (ASCE), the American Concrete Institute (ACI), and is secretary of the Earthquake Commission of the Engineer’s Professional Association of PR.Ernesto Luis Diaz MEM, Puerto Rico Climate Change Council Coastal and Marine scientist. Director of the Puerto Rico Coastal Management Program and coordi
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
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
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
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
, 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