are being met and if students haveacquired identified skills.In 1994, a partnership of universities - called the Manufacturing Engineering EducationPartnership (MEEP) - initiated the design and implementation of a novel undergraduatemanufacturing program, better known as the Learning Factory1,2. This paper describes howMEEP designed the assessment strategy to evaluate the curricular innovation project outcomes,and presents some of the assessment instruments/tools designed. The tools developed, some incollaboration with industrial partners, were utilized for assessing overall and specificqualitative aspects of the program as well as student performance (e.g., teamwork skills andoral presentation/written skills). A total of 9 assessment
in the Electrical and Computer Engineering Department at Seattle University. She earned her PhD degree from University of Denver specializing in renewable energy and smart grids. Her research focus is on renewable energy integration into smart grids, ensuring efficient energy management and grid stability, aiming for a sustainable impact. She is a member of IEEE, ASEE and SWE and has worked on several NSF and NREL funded projects. ©American Society for Engineering Education, 2024 Teaching Digital Logic in the Quarter-Based EE CurriculumIntroductionCourses on digital logic are an essential part of all Electrical and Computer Engineeringcurricula. With the advent of FPGAs, the use of a
RolloutThe new curriculum had an initial pilot in AY 2021-2022 with the curriculum being in place forstudents starting in AY 2022-2023 (Figure 3). By piloting our CIVE 101 in Fall 2021, thefaculty have been able to stay one year ahead in the development of the Design Spine courses.These courses generally have two to four faculty working collaborative to develop and deliverthem. Parallel to the Design Spine course development, a larger group of faculty have beenworking collaboratively to develop the professional and technical skill fabric through the DesignSpine. As the Design Spine is rolled out, the faculty are committed to continually improving ourcurriculum.Figure 3: Timeline for new curriculum rolloutConclusionThe curriculum change with the
class. Therefore, part of the CTaaS objective is to continue CloudComputing education beyond the main course and into other courses and projects in the degree.We have identified two initial courses where students can benefit immensely from the CloudComputing environments. One class is a resource-intensive course in Machine Learning, and theother is a Capstone project required for graduation. Both courses are geared toward exploring thenature of data as it relates to cyber security The two courses are usually done in groups and requirea considerable amount of computing and storage, which are perfect for the metered utility natureof the Cloud.Job Support CertificationsOur Cyber Security degree requires two vendor-neutral certifications, and
aims to cure rather thantreat symptoms” [3]. It entails a number of National Academy of Sciences, Engineering, andMedicine identified current grand challenges such as carbon sequestration, managingbiogeochemical cycles, ensuring access to clean water, and restoring and improving urbaninfrastructure [4]. Its uniqueness lies in reliance on self-design of nature, systems thinking, use ofnatural energy and conservation of nature [5]. It emphasizes shifts away from growth-centeredsociety as it recognizes the biosphere’s ecological limits to human actions that conflict withgrowth and the technology-centered economy [3].Ecological Engineering is steadily becoming a research and academic program worldwide [6].Introducing Ecological Engineering into
Paper ID #45309Designing an AI-Enhanced Module for Robotics Education in MechanicalEngineering TechnologyDr. Wenhai Li, Farmingdale State College Assistant Professor in Department of Mechanical Engineering Technology, Farmingdale State College, Farmingdale, NY 11735Dr. Yue Hung, Farmingdale State College Dr. Yue (Jeff) Hung holds degrees in engineering and technology disciplines (Ph.D. in Materials Science and Engineering, M.S in Mechanical Engineering, and B.S in Manufacturing Engineering Technology). He has over 20 yearsˆa C™ experience in Computer-AidedMr. Reiss Guttman, Farmingdale State College Research AssistantSen
robustness,speed, efficiency and cost of the alternatives presented to us. We also consider how widely thecandidates are accepted in industry, a pragmatic consideration as well as an indirect measure of theirperformance. We take into account the fit between the programming environment and the subjectat hand. All other factors being equal, or nearly equal, we might finalize our decision on thefamiliarity of the package to us. In all our deliberations on the choice of a computer tool, we do notthink about aesthetics, at least not at the initial stage. It was therefore revealing to realize that thechoice of the programming environment for one of the authors’ (Tanyel) Digital Signal Processing(DSP) and Communication Systems courses was based on his
, computer equation solver and (3) most importantly, developing andimplementing test case scenarios to verify the validity of the problem solution. There are threemajor advantages to this approach. First, the development of the equations in symbolic formrequires the students to focus more on the physics of the problem. Second, the use of thecomputer equation solvers eliminates tedious and often error prone algebraic manipulation.Third, the test case scenarios suggested for verification of the “answer” force the student toconsider limiting, “known result”, solutions of the problem. Throughout the course, the studentsapply this approach to homework and project activities. Initially they are given the testscenarios, but, with practice, they learn to
they are more convenient and can be recorded forstudents who miss the review. Students are free to get up and move around, tune in and out, andchat with their friends without disturbing the class. The author feels that doing the sessions on-line is more convenient for everyone, and is a good substitute for office hour type help.It takes a few sessions for students to learn to use Webex and get into the virtual sessions. Afterthe initial learning curve, students request that the author offer Webex sessions the night beforehomework is due and the night before exams. More than half the class will participate in thehomework help sessions to get the help that they need. The author has experimented with othersoftware packages to potentially replace
implementation of this protocol.Proceedings of the 2013 Midwest Section Conference of the American Society for Engineering Education 2Several self-contained laboratory systems have been developed which allow students to performstandard electronic laboratory exercises utilizing a portable device combined with a personalcomputer in a location of their choice. Two of the self-contained systems available are theElectronics ExplorerTM Board (EEBoard)[4] from Digilent, Inc. as well as the NationalInstruments NI ELVIS system[5] which requires LabVIEW software. In this study, the EEBoardwas selected for evaluation for three consecutive semesters. Initial results
ability and prior preparation but alsoby the compatibility of his or her learning style and the instructor’s teaching style.”1 Also,“Research supports the concept that most teachers teach the way they learn.”2 The initialhypothesis being that if teachers teach the way they learn and if students learn better from thosewhose teaching style more closely matches their learning style then students whose learning stylematches the learning style of their instructors should, as a whole, perform better than thosewhose learning styles are more different. Performance in this case was based on the student’sfinal grade in the course. So using the above survey three instructors and their associatedstudents, 224 total, took the Index of Learning Styles survey
process. In fact, they take on activities, reading and other work with initiative and interest. They read with comprehension and annotation. They ask questions and “actively” seek more than just the basic requirements.3 Active learners seek understanding of the material and not just knowledge. Retention is much higher for active learners. These students tell me they understand the prerequisite requirements and how one course builds on the other. They like to cross pollinate from one course to the other. They are the students who are beginning to know what it means “to learn”.Basic Theoretical Background / The Learning TheoriesNow that we touched on the type of student learners, let us investigate three of the many learningtheories as
techniques are more appealing to some engineers than others, as well ashighlighting the importance of recognizing and appreciating the value of cognitive diversitywithin design teams. The implications of all these findings will be discussed in the context ofengineering design education, with recommendations for application and future research.2. Psychological Inertia, Cognitive Diversity, and the Engineering Design StudentWhen one is faced with an engineering design challenge, the ability of the designer togenerate potential solution concepts during the early stages of the design process is stronglyimpacted by that individual’s “psychological inertia”8. Psychological inertia, from thecognitive perspective, is a direct function of all the biases the
future career.4 In addition to earlyengineering exposure, a more practical aspect of attending an introductory engineering program may beto earn college credits from Johns Hopkins University (JHU). College credits have three utilities: (a)enhances the student’s college application, (b) makes college education more affordable, and (c) reducesthe course load in the initial year and allows the student to settle into college at a convenient pace.5,6 Atpresent there are a large number of introductory engineering programs, however, rarely are theseprograms ABET accredited and provide transferable college credits to high school students. On the otherhand there are a vast number of courses at community colleges and universities, which allow high
-enabled problem-solving. It is designed to establish a foundational knowledge inInformation Technology systems, web technologies and to foster an understanding the basis of computerprogramming. Many of the cadets have some previous experience with computers, but a rare few havethe required breadth of knowledge in all aspects of information technologies upon entry to USMA that isprovided in the IT105 course. Some have limited experience and yet others have never even used acomputer prior receiving the one issued to them shortly following their arrival to the academy. The IT105curriculum is designed to provide every cadet with an initial conceptual framework and to developfundamental skills necessary to be successful during their four years of
I.Literature on Interactive LearningIn the past twenty years there has been a pedagogical shift towards problem based learning, theincorporation of concept oriented examples, and the use of interactive learning activities withinundergraduate engineering, science, and medical school curricula4-7. Assessments havedemonstrated8-11 that students generally learn better when taught in these environments.Consequently, these initiatives have been adopted by many engineering programs.12-14 Manyambitious faculty members have implemented problem based learning within individual courses,while some departments and colleges have incorporated the philosophy systemically throughoutentire programs.15-17Structure of “Flex” PeriodsThe Mechanics I course at Villanova
elements that were aligned with the college's articulated standards for documentation andwhich should already have been familiar to students from their sophomore-level technicalwriting classes which she had taught for several years. Over time, the two instructors were ableto define a formal outline for each document required by the class. Then, they went beyond basicoutlines and identified critical rhetorical and textual elements for each document includingexpected content, language, graphics, and formal stylistic elements. These elements werecodified in a series of lectures initially written by the COM instructor, with models and templatesincluded. These lectures were reviewed and revised by the AE instructor so as to most accuratelyreflect the
process. In fact, they take on activities, reading and other work with initiative and interest. They read with comprehension and annotation. They ask questions and “actively” seek more than just the basic requirements.3 Active learners seek understanding of the material and not just knowledge. Retention is much higher for active learners. These students tell me they understand the prerequisite requirements and how one course builds on the other. They like to cross pollinate from one course to the other. They are the students who are beginning to know what it means “to learn”.Basic Theoretical Background / The Learning TheoriesNow that we touched on the type of student learners, let us investigate three of the many learningtheories as
, less than 20% of the teamshad that error.By conducting the closed-form analysis on similar structures with different properties, thestudents can see the benefits of symbolic manipulation. Since they often experience numericalor algebraic errors initially, and corrections are much easier to make with symbolic equations,they can better appreciate why this approach is recommended.Unfortunately, the rigid joints in the PASCO Structures system are hard to accommodate in thesimplified analysis of this lab. As a result, the students’ analysis may predict deflection less thanhalf that of the physical parts. While this is somewhat frustrating (and is a point requiringimprovement), it can be used to point out the limitations of simplified physical tests
objectives. When this was noted, the instructors realized that the lack of data was due to the material not being covered, and that was due to the obsolete nature of the material. MFET 275, Computer Numerical Control Applications – one course objective was not being covered at all, so it was removed, and a new objective concerning computer aided manufacturing systems (CAM) instituted. The new objective was evaluated with a student project, and initial indications are the new objective/project combination works very well. MET 325, Applied Thermodynamics – the course assessment system indicated a problem with the order the material was presented. The text for this course presented all theory
; Exposition Copyright © 2005, American Society for Engineering Education”4 Calazans, N. L. V. and Moras, F. G., “Integrating the Teaching of Computer Organization andArchitecture with Digital Hardware Design Early in Undergraduate Course,” IEEE Transaction onEducation, May 2001, pp. 109-119.5 Rosen, L., Open Software License v. 2.1, Open Source Initiative (OSI), 2004;http://opensource.org/licenses/osl-2.1.php.6 Rosen, L., Open Source Licensing: Software Freedom and Intellectual Property Law, Prentice Hall, 2004.7 Felder R.M., Brent R., “Designing and Teaching Courses to Satisfy the ABET Engineering Criteria,”Journal of Engeering Education, 92(1), 2003, pp. 7–25.Biographical InformationJUSTIN STANFORD DAVISJustin Davis
its programs at nearly the same time that theTechnology Accreditation Commission of the Accreditation Board for Engineering andTechnology (TAC of ABET) adopted the TC2K continuous improvement based criteria forprogram assessment and evaluation of data. The Engineering Technology Department tookadvantage of the opportunity by consolidating efforts in the initial planning stage wherein theUniversity and the TAC of ABET programs assessments were fulfilled concurrently.Careful planning by faculty on the CCSU assessment team resulted in an ultimately successfulprograms assessment, evaluation, and TAC of ABET accreditation. Design of continuousimprovement plans with in-common learning objectives and learning outcomes based onstandardized
curriculum was created by studying the ElectricalEngineering, engineering science, mathematics, and science requirements of several ABETaccredited EE programs with similar missions. The program itself was the result of muchresearch and discussion as the faculty developed a plan to implement the program and theassessment processes. This planning and discussion took place form 1998-2000 and most of thereview from 2001-2004 has focused on the quality of the new engineering degree program andthe preparation for its accreditation by ABET. The initial ABET visit for this program occurredNovember 2004. During the summer of 2002, faculty members of the EE program drafted the initialversion of program outcomes and began to develop measurement tools
initially, only 17% had graduated with an electrical engineering degree, 14%changed majors and graduated, 23% are still in school and 46% dropped out of school.2Generally, it was shown that the number of course attempts needed by African Americans wasgreater than for white students. This study also indicated that the number of unsuccessfulattempts at the course negatively affected the student’s persistence to graduation. A recent study by Zhang et al. explored the performance of engineering students at nineuniversities for a five year period. This statistical analysis demonstrated that there were severalfactors that significantly affected a student’s tendency to remain in a degree program untilgraduation. It was found that the high school
forpresentation in April of 2002.3.3. Course EvaluationsCourse evaluations at WPI consist of forms with statements describing the instructor, text, andfacilities in positive terms (e.g., “The instructor was well prepared to teach each class.”). Foreach statement, students are asked to provide one of five answers: SA (strongly agree), A(agree), D (disagree), SD (strongly disagree), or N (not applicable). Ev aluations for each courseare characterized by the percentage of A and SA answers recorded. Mean A+SA scores forundergraduate courses at WPI are typically around 90% [16].Student response to EE 3703 has been excellent. Evaluations for the course’s initial offering inB-term were good (88% A+SA rating), with general consensus that the course should place
individual student’s final grades if necessary. Figure 4. Project Schedule Given to Students - Pilot Iterations 3 and 4 Team Deliverables Class Meeting Place Team Grades 3rd Trial 4th Trial Choose a Topic and Prepare All teams Individual Completeness, Level of Week 4 an Initial Project Proposal Sections Difficulty Work on project as a team No class* Individual No Class Prep and Week 5 and Design Experiment Sections** Grade* Participation** Presentation: Formal All teams All
primeobjective of the academy. The technologies and techniques available to provide this level ofservice will evolve, as shown above, but the objective of getting the highest level ofunderstanding and performance from our students remains constant.Motivation A factor that is equally important to the technologies used in educational systems and tothe techniques used to manage vast amounts of information is the individual motivation toparticipate and to learn that a person brings to the educational setting. A high degree ofindividual motivation is necessary for a person to take full advantage of any educational systemparadigm. The Britannica.com web site (2001) defines motivation as “forces acting either on orwithin a person to initiate behaviour
AC 2011-1130: TEACHING CHEMICAL ENGINEERING CONCEPTS TONONCHEMICAL ENGINEERS: INDIGO: A WORLD OF BLUESPolly R. Piergiovanni, Lafayette College Polly R. Piergiovanni is an Associate Professor in the Department of Chemical and Biomolecular Engi- neering at Lafayette College. She teaches the introductory engineering and chemical engineering courses, as well as process control. Her research interests include process control, biochemical engineering and the dyeing process. Page 22.1375.1 c American Society for Engineering Education, 2011 Teaching Chemical Engineering Concepts to Nonchemical
, Swe- den. Her primary teaching and course development responsibilities include undergraduate and graduate level courses in computer-aided design, mechanical design and rehabilitation engineering. She served as the Director of Liaison for the Engineering Design Graphics Division of ASEE from 1995-8, EDGD Pro- gram Chair for the ASEE Annual Conferences in 2002 and 2011, division vice chair in 2003 and division chair in 2004. Her teaching and research interests include computer aided mechanical design, geometric modeling, kinematics, machine design and rehabilitation engineering. She is a member of ASME, ASEE and ISGG
Disability Studies peer mentoring class will be pairedwith students with disabilities, with an emphasis on matching them with STEM mentors.Mentors will provide support and will assist mentees to navigate the college environment.Mentees will be recruited to become mentors for future students. Project faculty will monitorenrollment and performance and will provide academic advising and mentoring for participants.A unique merit of the project is the program initiated by CDSUA in academic year 2009-10. Thisprogram connects students with the Disability Support Services office to ensure they receivereasonable accommodation. It also helps students apply for state vocational rehabilitationservices. In fall 2009, this program resulted in approximately 15