used bystudents. It is important for faculty to have a firm understanding of how AI tools are being usedby students to write reports. Faculty perspectives differ on how AI assistance can benefitengineering students while avoiding academic dishonesty issues. Faculty will need tocommunicate the permissible and prohibited usage of AI tools in future assignments.IntroductionChatGPT, introduced in the fall of 2022, has swiftly emerged as a prominent ArtificialIntelligence (AI) chatbot, finding widespread use, including in higher education [1], [2].Engineering educators have taken notice and discussed how it is impacting a freshmanengineering course [3] and throughout engineering programs [4]. Within a few months of therelease of ChatGPT, it was
ask questions about risks and benefits when introducedto a new technology, and to participate in discussions and debates about the uses of thattechnology. In addition to these three cognitive dimensions, four content areas were defined: (1)technology and society, (2) design, (3) products and systems, and (4) characteristics, concepts,and connections. Finally, an assessment matrix was proposed that combined the four contentareas (the rows of the matrix) with the three cognitive dimensions (the columns of the matrix),and it is this matrix that spurred the development of the proposed framework.Simultaneously, the International Technology Education Association (ITEA) also developed aset of standards (ITEA 2000) for technological literacy, which
1 A seemingly mundane item, the box that houses the partsin the experiment kit, serves important functional and Large breadboard 1aesthetic roles. In the first distribution of the kits, the Small breadboard 1components were distributed in a 11x 8 x 4 inch box made of Red LED 2corrugated cardboard with a matte surface. This size fit all the Green LED 2pieces, the organizational tools, and allowed space for the
seniordesign team and essential leadership positions, budget constraints, and other constraints on theproject. Numerous projects were accomplished such as a recreational hovercraft, a waterdesalination system to be used in an orphanage in Tanzania, and an innovative instrumentedheating, air conditioning bench top instructional experiment.IntroductionOver the course of several years, engineering educators have proposed various models forconducting a capstone design course, which would encompass most if not, all aspects ofengineering design. These models range from one-semester paper design projects to full-teamtwo-semester capstone projects. Some programs focus on individual and small group designteams, whereas others emphasize teamwork and leadership
Buffalo Undergraduate Summer Research Program BackgroundThe program supports eight weeks of full-time research, scholarly, and creative activities eachsummer. Program fellowships provide a student stipend and support for travel, supplies, and/orequipment if necessary. The program is designed for frequent face-to-face interactions betweenthe student and a faculty mentor. The student is expected to devote a minimum of eight weeks offull-time scholarly activity. The program starts in May (after spring semester) and ends in August (before the next fallsemester). Before research begins, each student completes a “Pre-Research Reflection” andforwards to an assigned mentor; the mentor will review the student’s response and meet with thestudent to
actively participates in various professional organizations, including IEEE, IET, ASEE, ISA, IAOE, and the CLAWAR Association. He has chaired numerous conferences and workshops in these fields. Additionally, he has served as a program evaluator for ABET and is involved in assessing research and development projects for funding agencies across the U.S., Europe, and Australia.Jim Goodell, INFERable and IEEE Learning Technology Standards Committee Jim Goodell is editor and co-author of Learning Engineering Toolkit and Chair of the IEEE Learning Technology Standards Committee. He is founder of INFERable, a Public Benefit Corporation. He was Director of Innovation at Quality Information Partners where he helps lead
124 focuses a large viewof what architectural engineering is and the scope that the profession has within the larger buildingindustry. This class is the first exposure that students get with architectural engineering as it is a 1credit freshman seminar. Here the module was done pre-recorded video segments being given to theclass to watch then apply their knowledge to an in-class activity. The student outcomes for this moduleare listed here: Ability to select the proper code provisions when disagreements exist between code and standard Recognize the overarching purpose of building codes and standards Understand how building codes are adopted and enforced To assess the impact of the
of undergraduate electro- magnetics texts and has won several awards related to teaching. He is the department’s undergraduate Program Director and Chair of its Curriculum and Assessment Committee.Prof. Mark Lee Adams, Auburn University Dr. Adams earned his Bachelor of Electrical Engineering degree from Auburn in 1997. Dr. Adams com- pleted his M.S. (2000) and Ph.D. (2004) in electrical engineering with an emphasis on biophysics and nanofabrication at the California Institute of Technology. He joined Auburn University as an assistant professor of electrical and computer engineering in 2014. His interests include smart materials, organic electronics, biologically inspired structures, electromagnetics, photonics
objective is to promote vjg"cfqrvkqp"qh"Òhwgn-sippipiÓ"xgjkengu"cpf"ect-sharing programs by providing drivers with a more accuraterepresentation of the trade-off between vehicle selection and use and on-road fuel economy. Toimplement this tool, the MATLAB environment was employed in various capacities. TheSystem Identification Toolbox was used to fit output data generated from the powertrainukowncvkqp"uqhvyctg"ETWKUGª"kpvq"oqfgnu"vjcv"eqwnf"dg"eqorkngf"kp"vjg"Ukownkpm"Tgcn-TimeWorkshop and called from the JavaScript web interface. MATLAB was also used to parse andcorrelate the extremely large data set in the driving cycle generating script. And, last but notleast, it provided the consistent working environment between the teams working on
delineated.Nevertheless, this study provided some interesting preliminary insights into ISE.6 incombination with background characteristics and learning experiences. Many observeddifferences were found to be significant although with only small effect sizes. This could beinterpreted in two ways: First is related to the final unweighted dataset consisting of 5,277subjects. Such a large sample size might seem to suggest that differences are significant whenin fact they are not. The small effect sizes reinforce this explanation. Therefore, the resultsneed to be interpreted carefully. An additional study validating the results might be warranted.A second explanation for the small effect sizes could be the theoretical framework underlyingthis research. According to
deepening levels” of engagement on the issues. ASCE’s experience with itsVision 2025 demonstrates that such initiatives can lose momentum, even perish if not sustainedby an active membership and efforts to recruit champions using engagement tools such as thepyramid of engagement. These can only be solved by repositioning the profession to focus onbuilding social capital, not social licenses, and lastly, achieving “critical mass,” i.e., mobilizing asufficient number of these champions who can collectively work to bring about large-scalepolicy changes. The pyramid of engagement presented in this paper provides a framework forbuilding critical mass and engagement in a strategic manner. ASCE’s successful legislativeadvocacy programs have been developed
electronics, linear systems and controls, electromagnetics, microcontrollers, and digital electronics. For the computer engineering students it also includes systems software and real-time programming. 2. The course provides preparation for the year-long senior design project. Students learn how to complete an open-ended project that has little direction other than a list of constraints. They also are introduced to the tools and technologies that are needed to make a project successful such as 3-D printing, circuit board fabrication, packaging, and safety issues. 3. EE 380 provides and efficient way in which to assess several ABET outcomes including: ABET (b) an ability to design and conduct an
final goal that may actually be produced provides good motivation (importance).There were some less positive comments suggesting a need to expose students to moreambiguous, open-ended problems earlier in their academic experience: • Try and find a project more like what we have studied in the course. • There was a large diversity in the material needed to complete the design. • Difficulty dealing with the continual changes by the coach. • A lot of time trying to learn something not covered exactly in the design references. • The instructor did not seem to give much guidance.One year the program did an instructor-based feasibility study with the environmentalengineering majors on the design of a
put a meeting on the calendar in the class’ general channel using MS Teams. At the start of class,with most students physically in the classroom, the instructor will open the MS Teams meeting, sharing thescreen with the class (virtually and physically). Students in the room may join to see the screen on their owndevice, participate in the chat, and leverage tools such as live transcription. Students who are remote join aswell with the same benefits. Our active class oscillates between whole group instruction in the general channeland small group work during which teams, blending remote and face-to-face students, initiate a meeting in theirassigned team channel facilitating smooth transitions between small and large group interactions.This
can be a hindranceto learning. [1] Experiential learning, project-based learning, and service learning are all teachingmethods used to help students learn theory by connected it to real-world situations in which the theorycan be used to solve problems. This paper describes an effort to use game-based learning to designlessons that would enhance learning of complex problem solving and reduce the perceivedabstractness of theory presented in a Production and Inventory Control course for juniors in anIndustrial Engineering program. Computer Simulation and Game-Based LearningComputer simulation and game-based learning were used in the design of two lessons in a Productionand Inventory Control course in order to help students
constraints ofcost, schedule, and scope to create a plan. Then those tools unsuccessfully focused on deliveringthe planned scope within the planned cost and schedule. In 2001 the “agile project manifesto”pointed the way to better manage projects having a flexible scope in an uncertain environment.Since then agile project management in IT has matured and proven itself for large and small ITprojects.Academic work has features that parallel the reasons agile project management is needed for IT.It often has (1) an undefined scope, (2) unknown and possibly unmeasurable task times, (3) anunidentified assortment of tasks featuring undiscovered task dependencies, and (4) an ever-changing resource availability for each project due to the impacts of other
, the questionnaire used a 10. Channel Coding Schemes; 11. Optimum Diversity Receivers;categorical measurement scale with 6 nominal 12. Channel Modeling (Large and Small scale) andlevels for each item, as depicted in Figure 3. Wave Propagation; 13. Comm. Technologies/Standards (WiMAX, LTE, Cognitive Radio, Software Radio, etc.);Each question presented in Table 2 could be 14. Multiple Access Theory;answered by “Strongly Disagree”, “Disagree”, 15. Multi-carrier Transmission (MC-CDMA/OFDM
set of impactful and research-based playful learning pedagogy and assessment that will helpstudents confront social and ethical dilemmas in their professional lives.Introduction[Sections labeled “Introduction” and “Overview of the Work” are reprinted from the 2021 ASEEPoster Session Paper which provides preliminary material for the reader.] [1]Over the past twenty years, there has been a strong shift in the scope of US undergraduateengineering programs towards heightening students’ awareness of the professional, social andethical aspects of the profession. The impetus for this shift has come largely from professionalsocieties and sources of accreditation (such as ABET) in response to numerous high profileengineering failures that have
and social context inengineering programs for both career selection and student professional development.Course DescriptionsThe three courses that are the focus of this study were taught by the authors at three differentinstitutions in the Fall 2023 semester. The paragraphs below explain the context for each course.Key readings, podcasts, and videos related to equitable infrastructure that were included in thecourse are listed in the Appendix.Lafayette College, a small, private, liberal arts college, requires all students to complete a firstyear seminar course (FYS). The primary purpose of the FYS is to introduce students tocollege-level reading, writing, and thinking skills with a common set of learning outcomes. EachFYS instructor develops
paper describes a recurring multidisciplinary design project module between the Electricaland Computer Engineering (ECE) and Design Engineering Technology (DET) programs at TrineUniversity. Students from two classes collaborate to design, prototype, and assemble thephysical and electrical components of a handheld sensor system. Year-to-year changes in theproject are presented, and an assessment of the project’s effectiveness towards helping studentswork and communicate with people outside their discipline is discussed.2. PROJECT DESCRIPTION.In the module discussed here, students from ECE 483 (Instrument Systems) and ETD 313(Design for Manufacturing and Assembly) are teamed together to design and prototype ahandheld analog sensor system. The
utilized at present on this tract with uniformapplication of fertilizers and seedlings. No special irrigation or weed managementtechniques are currently used. The overall objective of the first phase of the ECPA effortsat UMES will be to develop baseline data via systematic record keeping, whilecontinuing with the current farming practices. This data will be valuable in the future toα Associate Professor, Department of Engineering and Aviation Sciencesβ Assistant Professor, Department of Natural Sciencesδ Dean, School of Agriculture and Natural Sciencesε GIS Laboratory Coordinatorφ Lecturer, Department of Engineering and Aviation Sciences (Aviation Program
alumni who graduated from programs that blend professional training withbroad studies in the liberal arts, we seldom hear students evaluate such integration-orientedprograms in their own terms: What do they expect from a more holistic model of engineeringeducation? In what ways do they find a more comprehensive learning experience empowering orconstraining? What do they appreciate the most about their programs? What changes do theywish to see? This paper looks into the “user experience” of educational initiatives that seek tobring together engineering and liberal learning.The analysis presented here draws partly upon my dissertation research, a cross-institutionalinvestigation of integrating engineering and liberal education. The dissertation
university = 2, small,northeastern, faith based college = 1); engineering major (electrical engineering = 1, bioengineering = 1, environmental engineering = 1, general engineering = 2, material scienceengineering = 1); and maturity of EA program (existing program = 3, new program = 3). All butone participant was new to the Engineering Ambassadors program. The one participant who wasbeginning his second semester of participation was attending the workshop for the first time.Participants were of traditional college age for their semester standing.Table 1. Participant Summary Pseudonym Demographic features Alex Male, Sophomore, Engineering with a minor in Robotics, Caucasian Fisher Male, Sophomore, Material Science Engineering
writing. Table 1shows how the relative proportion of time between these activities has evolved. Note that wehave increased the total length of the DI in order to offer the relevant workshops more time to doapplications and more time to practice writing. The marginal increase in the total workshop timewas due to an earlier start of programming on day one. Table 1: Approximate Time Distributions for DI Activities Activity Year 1 Year 2 Year 3 (Plan) Workshops 21 22.5 24 Writing Clusters 5 5 4 Time to Practice Writing 15.5 16 19.5Workshops that have been largely the same
attitudes and approaches to learningAbstractIt is well established that students have a diverse array of learning styles and take differentapproaches to learning. For example, approaches to learning have been classified as “surface”,“deep”, and “achievement”. Research has shown that there are several advantages to promotingand fostering a deep approach to learning. One method for encouraging a deep approach tolearning is to utilize formative assessments that focus on conceptual understanding rather thanrecall or rote calculations. To that end, a Web-based Interactive Science and Engineering(WISE) Learning Tool that promotes concept-based learning has been incorporated into a multi-disciplinary Material Balances and Stoichiometry course. In an
create a major in “sustainability studies” that would beoffered by interested departments across campus, including STS, economics, mechanicalengineering, civil engineering, architecture, etc. Rather than creating a single interdisciplinarydegree, this model responds to existing institutional constraints by allowing each department tocustomize its own version of the degree.In discussing each model below, the paper will review its basic configuration, the primarystudents involved and their response (as available), and instructor or developer reflections on themodel’s successes and challenges. Since the activities reviewed in the paper are currentlyunfolding at the time of writing, tentative assessments and analysis will be offered wherepossible
. Wedescribe several of these custom components in the new few subsections.4.1 Proof BlocksWe have adopted the Proof Blocks tool developed by Poulsen et al.,19, 20, 21 which lets studentsassemble proofs by dragging and dropping individual proof steps into the correct order. We useProof Blocks not only for proof questions, but also for developing simple algorithms, similar toParsons programming problems7, 17 but at the level of pseudocode instead of executable code. Forexample, in one NP-hardness exercise, we ask students to build the pseudocode for a graphreduction using Proof Bocks. The grading code associates a small Python function with block, so infact the student is indirectly assembling a Python program. The auto-grader either verifies that
Paper ID #43065IDEAL Creative Biomechanics Project and the Impact on Students’ Engagement(Phase III)Dr. Michele J. Grimm, State University of New York at Albany Michele J. Grimm, PhD, became Dean of the College of Nanotechnology, Science, and Engineering at the University at Albany (SUNY) in August 2022. She previously held an endowed professorship in mechanical engineering at Michigan State University (2019-2022), was a program director at the National Science Foundation (2016-2019), and spent 25 years on the faculty of Wayne State University (1994-2019). While at Wayne State, she established the Department of Biomedical
obtain correct numerical results. Learning theory is a prerequisite to afunctional project. This paper presents a collection of numerical computation projects in theareas of convolution, Fourier series, and Fast Fourier Transforms that have been recently utilizedin EECE 512 – Linear Systems, a course offered by the Department of Electrical & ComputerEngineering (EECE) at Kansas State University (KSU). These programming projectssupplement handwritten work and represent approximately 15% of a semester course grade. Thefollowing sections address the theory, learning objectives, and administration of these projectswhile presenting application examples. This is followed by an assessment of the learningeffectiveness of these
University established the EngineeringResearch Center for Collaborative Adaptive Sensing of the Atmosphere (CASA)1. Thegoal of CASA is to develop next-generation technologies for tracking and predictingsevere weather events. The current NEXRAD system is suitable for measuring large-scale weather data, but the distance between radar stations makes it unusable forcollecting data from the lower atmosphere (<1 km) where the majority of severe weatherevents like tornadoes and severe thunderstorms that can result in mudslides or flashflooding occur. Each year, these types of storms can cause billions of dollars in damageand take scores of lives. To address this compelling problem, CASA is developing adense network of small, low-cost radars that can be