Outcome dimensionsFigure 4.1: External-rater assessment of professional skills for the Design Clinic Wiki.The Design Clinic learning outcomes were updated for use during the Fall of 2006. ABETcriteria (i), recognition of the need for, and ability to engage in lifelong learning and (j), theknowledge and appreciation of contemporary issues, were added [21]. Figure 4.2 illustratesaverage actual and expected performance for final projects using the updated professional skillsrubric. The average rating of actual performance for final projects was 4.7(developing/mastering). The average rating of expected performance was 4.1 (developing).Overall, student performance was +0.6 above the expected performance (Figure 4.2
engineering degrees and is typically characterized by small groups of students (class sizes of 5-50). Students can begin the engineering curriculum as early as first semester freshman year. Private/Faith Based (Masters L): A small teaching institution in the Pacific Northwest of 4,000 students, whose mission emphasizes building graduates of competence and character by providing tools of rigorous learning and modeling a grace-filled community. This institution offers four engineering and computer science majors that are based on and informed by a Christian world view. Class sizes typically range from 15-20. Research (RU/VH): A large research institution and flagship university in the Pacific
Paper ID #9019Accreditation Issues of Strategic Importance to the Civil Engineering Profes-sionDr. Stephen J. Ressler PE, Engineering Encounters Stephen Ressler, P.E. Ph.D. is Professor Emeritus from the U.S. Military Academy (USMA) at West Point and currently serves as President of the Board of Directors for Engineering Encounters, a non-profit organization founded to promote K-12 engineering outreach. He earned a B.S. degree from USMA in 1979, a Master of Science in Civil Engineering from Lehigh University in 1989, and a Ph.D. from Lehigh in 1991. As an active duty Army officer, he served in a variety of military
”, 3M Pharmaceuticals, www.3m.com/us/healthcare/ manufacturers/ dds/pdf/customized_delivery.pdf, November, 1998.Biographical InformationGRETCHEN HEIN is a lecturer in the Department of Engineering Fundamentals at Michigan Technological Uni-versity where she also earned her Ph.D. She received her BSME at Kettering University and her MSE at PurdueUniversity. Prior to pursuing her masters degree, she worked as an engineer at General Motors Corporation.Gretchen teaches Fundamentals of Engineering I and II, and Engineering Applications in Science and Precalculus.KATIE TORREY is a lecturer in the Department of Engineering Fundamentals at Michigan TechnologicalUniversity and also teaches classes for the Department of Chemical Engineering. She
of theassignment was analyzed to investigate the effectiveness of each stage of the assignment inteaching graphing concepts to those students who had not mastered the skills in earlierinstruction.Results: The upload software tool worked robustly. Students successfully uploaded 11 differentfile types (e.g. pdf, doc, docx, png, xls). All but one upload, which did not have an extension,were successfully downloaded by the peer reviewers.To determine the impact of evaluation (calibration training and peer review) on contentunderstanding, the study analyzed the in situ performance of the students whose submittedgraphs were noted as having errors in scaling and grid by all three of their peer reviewers. Thesample consisted of 31 students (18% of
public online education institutions. However, private and for-profit institutions that currently have enrollment growth ? the largest enrollment are showing a slight decline. Most online engineering programs currently available are at the Master of Science (MS)level, and are targeted at engineers in professional practice, most of whom have received theirundergraduate degrees from a campus based program. A summary of the list of engineeringprograms that offer an online Master of Science (MS) degree is published by the SloanConsortium [2]. The list in [2] indicates that the Master of Science in Bioinformatics from JohnsHopkins University (JHU) is the only program that is accredited by ABET. An even smallernumber of
applications 3. Control of three-phase grid converter used for Wind Energy Conversion Systems 4. Battery tests.2.3 Course Structure and SyllabusThe renewable energy technology course is divided into four major parts. Part I discusses thephotovoltaic power systems, part II discusses wind power, part III focuses on energy storagedevices and fuel cells, and part IV discusses power electronic interface, controls, stand-alone andgrid-connected renewable energy systems. Due to the diverse topics that need to be covered inthis course the following books were used as references (Patel, 2006; Masters, 2004; Ackermann,2005; Messenger & Ventre, 2010). The course syllabus has two basic components: 1. Lecture and literature review 2. ProjectDuring
theNCEES model law5 had to be considered since they called for a broader undergraduateeducation with technical depth to be accomplished through a Masters degree or thirtycredit hours of post baccalaureate study before sitting for the P.E. With an eye on thefuture and an image of what the East Texas constituencies were asking for, the programoutcomes (Table 1) and resulting curriculum were developed (Fig 1). Table 1: UT Tyler CE Program OutcomesGraduates:1. Apply knowledge of traditional mathematics, science, and engineering skills, and usemodern engineering tools to solve problems.2. Design and conduct experiments, as well as analyze and interpret data in more than
learned in each labsection, this verbal check-off allows the instructor to monitor the progress of each groupin real time. It also provides the opportunity to fill in gaps for groups lagging behind andpresent further challenges to more advanced groups.Each lab module is intended to build upon skills used in the previous modules. Thus,students learn new skills and hardware at the same time they master ones they werepreviously exposed to. Page 10.948.7“Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition” Copyright 2005, American society for Engineering Education5 Course contentIn
within the field ofMachine Learning, one of them at the Masters level in the field of communications). One ofthem chose to work in the industry and he has plans of enrolling at the Masters program at UCFwhen the opportunity arises. The last undergraduate student was an Army Officer and he wentback to his home base after graduating with a B.S. degree in the Spring of 2004. There were alsotwo graduate students in the CTML-II class that they are continuing to pursue their graduatestudies at UCF.6. Summary and ConclusionsWe have reported in this effort some of the work conducted towards the satisfaction of some ofthe deliverables of a funded NSF project entitled “Advances in Machine Learning forEngineering Education”. Our focus in this paper has
© 2004, American Society for Engineering Education" The overall competence and effectiveness of the faculty are manifested by such factors as formal education, industrial experience, professional certification, teaching experience, teaching effectiveness, technical currency, scholarly activity, professional society participation, communication skills, extracurricular support for student activities, and similar attributes appropriate to the goals of the program. (ABET, 2003, p.34)The relationship between teaching and learning is a complex process. How students learnand how teachers teach are complicated processes, difficult to understand and evenharder to master. Effective teaching is one of the means of
Copyright 2003, American Society for Engineering Education”turned to registers to store the various values needed by the PCM system to properly carry out itsfunction. Registers are comprised of a very basic building block of all digital systems – the D-FlipFlop. A D-Flip Flop allows a value to be stored within a circuit, effectively acting as a“memory” circuit. It is made up of smaller components, with a D-Latch as the Master latch, andan RS- or D-Latch acting as the slave. This configuration allows values to be stored within thecircuit until it is “loaded” otherwise by the clock. The truth table for a D-Flip Flop is: D CLK Qn+ Qn+1 1
Page 8.823.3 Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition, Copyright 2003, American Society for Engineering Education working together to learn complex conceptual information and master knowledge and skills, students learn more, have more fun, and develop many other skills, such as learning how to work with one another. Faculty, meanwhile, must provide the foundation and learning structures to guide their students in this new learning experience.”The Integrated Business and Engineering Program at Lehigh UniversityFor the past three years, Lehigh University has offered an honors BS program in IntegratedBusiness and Engineering (IBE
. At theretreat, the students meet engineers that are experts in their field and most, if not all, have Mastersdegrees. The students realize that if they wish to work on the very best and most prestigiousprojects, a Masters degree is, in essence, a necessity. This also encourages another goal oflifelong learning. (This helps reinforce ASCE’s call for the Masters degree to be the firstprofessional degree [2].)The students also meet role models that they can emulate. A major contributor to the AdmiralCombs project points out that the retreat allows students to see successful RPI alumni practicingtheir profession [30]. It is particularly rewarding when the students decide that they want tofollow a career in civil engineering.By visiting the Big
toappreciate and respect the need for soft skills in their team.In some way, reflective skills are the most “fundamental” of the above five types of skills.Reflective skills help one improve in all skill domains, whereas the same is not true for the othertypes of skills. For this reason, we put much attention on reflective skills in our course.However, we caution that while they are necessary, they are not sufficient for lifelong learning inany skill domain.Creating competence and mastering in these skills takes longer than a single academic quarter.Furthermore, the “right” way to implement them depends on the context, so even if we hadtaught a right way, that way might not have been applicable to a future situation a student faced.Thus, we were more
has produced manyvery successful and innovative graduates. In a survey of aerospace professionals in laboratory,academe, and industry, it was noted that the respondents were not in favor of eliminating currenttechnical discipline boundaries as the base background for a student, but they did feel that theyshould be involved in interdisciplinary educational activities such as team design and teamproblem solving sessions1.The University of Arkansas Physics department has recently redefined the academic requirementsfor their degrees to allow more curriculum flexibility, allowing students to better tailor acurriculum for their career goals. At the Master of Science level, a MS Physics degree requiring acore physics block and all physics electives
intake? What were thefactors that caused students to select a CAT for study? Were they influenced by theirschoolteachers in their choice of institution? And did the compulsory liberal studiescomponent of the dip.tech courses contribute positively to that image? What was theexperience of the products of these courses (diplomats), and how if at all could thecourses be improved? An important item in the remit was to have “regard to the role ofcolleges as corporate academic communities” which brings in the residential andcollegial environment role of liberal education. The Birmingham based study wasconducted among students and teachers at five CATs and among the total national cohortof diplomates at the time, headmasters, careers masters, science
AC 2011-1771: LEARNING IN CONTEXT: RECOGNIZING CHALLENGESAND REWARDS OF ENGINEERING CURRICULUM REFORMAlison A. Dingwall, Howard University Alison Dingwall is a Ph.D. candidate in Social Psychology at Howard University. She earned a Masters in Public Health from The George Washington University and a Master of Science in ocial psychology from Howard University. Her baccalaureate studies were completed at American University. Ms. Dingwall is a graduate research assistant with the Department of Civil Engineering at Howard University. Her research interests include engineering education, social rejection and program evaluation.Lorraine N. Fleming, Howard University Lorraine N. Fleming is a Professor of Civil Engineering
within the USUsystem for a specific topic or course in one location. The libguide for this course (http://libguides.usu.edu/engr1000) is updated each time we teach the course.Final research papers are due during finals week and carry a stiff penalty for lateness-due toobvious reasons. Papers are turned in electronically via Blackboard. A grading rubric that wasestablished by the instructors and is updated each time the course is taught is used as the basis forassigning grades. To perform grading, the papers are equally divided among the instructors sothat each instructor initially grades 1/n of the total number of papers, where “n” is the number ofinstructors. Instructors assign grades to their assigned papers using the rubric. A master rubric
streamline the task on hand. The author chose to identify and assess seven Primary Traits. A separate matrix wasgenerated to document these seven traits chosen. These traits were then further identified in thechosen quiz that was being assessed. When the quiz was graded, the author documented a likertscale grade for each of the traits that was being assessed. As mentioned earlier, this has beenshown in Appendix E. Data collected from this matrix were later incorporated into a master spreadsheet andappropriate tables were generated for each student. Data from this master spreadsheet werefurther consolidated into a larger excel table. This was important, because such a masterspreadsheet could present the researcher with a bigger picture
and continuing education programs and writes and broadly presents on these subjects. Her experience includes managing, developing, marketing, proposal writing, evaluating and implementing programs for professionals who require new education and training to keep their skill at the cutting edge. The programs she designs involve collaborations among academe, industry, and government; and utilize, as appropriate, online instruction. She earned her Doctor of Philosophy in Political Science and Master of Science from Yale University, and her Bachelor of Arts, magna cum laude, phi beta kappa, in Political Science from Brooklyn College of City University of New York. Before joining NJIT, Dr. Spak was Dean of the School of
Paper ID #41978A Comparative Study of the Impact of Virtual Reality on Student Learningand Satisfaction in Aerospace EducationMollie Johnson, Massachusetts Institute of Technology Mollie Johnson is a graduate researcher in the Engineering Systems Laboratory at the Massachusetts Institute of Technology. She recently graduated from the Georgia Institute of Technology with a BS in aerospace engineering and is furthering her education as a masters’ student in the AeroAstro department at MIT.Dr. Rea Lavi, Massachusetts Institute of Technology Rea Lavi earned his doctoral degree in science & engineering education from the
and performance−approach goal orientation [16], [17].Students with mastery goal orientation are characterized by the desire to master the tasks withinterest and intrinsic motivation and gain a deeper understanding of the subject matter. Theyview challenges and mistakes as growth opportunities and aim to be competent in personaldevelopment rather than with a desire to compete with others While the students withperformance−approach goal orientation typically concentrate on exhibiting their abilities incomparison to others and are primarily concerned with the outcome of their effortsNeed for Cognitive ClosureStudents usually experience confusion or difficulty while solving challenging tasks. Engagingwith complex tasks is typically seen as
active participation and engagement with thecourse content. The discussions are tailored to reinforce the understanding of the principles andapplications of computer architecture, emphasizing critical analysis and problem-solving.3.1 Master Arithmetic for ComputersThe alignment of ongoing assignments with the learning topics and objectives is meticulouslyplanned to complement the discussions, ensuring that students have the opportunity to apply whatthey have learned in a practical context. This approach facilitates a deeper understanding of thecourse material, fostering a dynamic learning environment where students can explore the Table 1: Course Outline with Objectives, Topics, and Measurements Objectives
: For the engineer to relate and connect well with their management/executiveteams, we explored the power of influencing using leadership phrases. Then we explored thecommon scenario of making mistakes on the job and the steps to own and grow from mistakes.These are listed below: 1. Figure out who is impacted 2. Explain to direct boss in a private 1:1 3. Reassure oversight won’t recur 4. Propose a solution moving forward 5. Offer to circle back with completed actionsTopic 7: Master Work Settings, Advocate for Ideas and Build Trusted RelationshipsAs a technical person, you must learn how to organize your thoughts in a logical andstructured manner and how to facilitate and lead meetings and how to effectively articulate
Paper ID #43537Cultivating a Sustainable Mindset in Undergraduate Engineering throughthe Engineering for One Planet FrameworkDr. Andrea T. Kwaczala, Western New England University Andrea Kwaczala is an associate professor at Western New England University in the biomedical engineering department. She teaches Biomechanics, Product Development and Innovation, Senior Design and Prosthetic and Orthotic Devices. She focuses on hands-on undergraduate education that utilizes project-based learning.Devina Jaiswal, Western New England University Dr.Devina Jaiswal completed Masters of Science degree in Biomedical Engineering from
Consortium and teaches application of emerging technologies. Over the past 35 years ©American Society for Engineering Education, 2024ASEE 2024 Educational Research and Methods (ERM) Division Using Generative AI for A Graduate Level Capstone Course Design -A Case Study Abstract This WIP paper aims at exploring the pros and cons of using the newly released,advanced generative artificial intelligence (AI) tool, ChatGPT, to design the curriculum for aCapstone course, which is completed towards the end of the Master of Engineering TechnicalManagement (METM), a 21-month online graduate program for working professionals in theengineering
programming instruction, and how to integrate artificial intelligence (AI) technology for peer-like knowledge construction.Junior Anthony Bennett, Purdue University I am a Graduate Research Assistant, and Lynn Fellow pursuing an Interdisciplinary Ph.D. program in Engineering Education majoring in Ecological Sciences and Engineering (ESE) at Purdue University, West Lafayette IN. I earned a Bachelor of Education in TVET Industrial Technology – Electrical from the University of Technology, Jamaica, and a Master of Science in Manufacturing Engineering Systems from the Western Illinois University. I am a Certified Manufacturing Engineer with the Society for Manufacturing Engineers and have over a decade professional experience
collaborations among academe, industry, and government; and utilize, as appropriate, online instruction. She earned her Doctor of Philosophy in Political Science and Master of Science from Yale University, and her Bachelor of Arts, magna cum laude, phi beta kappa, in Political Science from Brooklyn College of City University of New York. Before joining NJIT, Dr. Spak was Dean of the School of Professional and Continuing Education at New York Institute of Technology, Old Westbury, New York, and, during America’s first energy crisis, served as the Director of the Center for Energy Policy and Research. In the later capacity, she managed federally-funded energy information and technology transfer programs in the United States and
University, San Luis Obispo. Dr. Adams’ research is concentrated in four interconnecting areas: cross- disciplinary thinking, acting, and being; design cognition and learning; views on the nature of engineering knowledge; and theories of change in linking engineering education research and practice.Lorraine N. Fleming, Howard University Lorraine N. Fleming is a Professor of Civil Engineering at Howard University and a Carnegie Scholar. She served as a Co-Principal Investigator of the Center for the Advancement of Engineering Education (CAEE). Dr. Fleming earned her Ph.D. in civil engineering from the University of California at Berkeley and holds a Master of Science and Bachelor of Science degree in civil engineering from