with learning outcomes and their planned in-class activities or at least a rough draft.Throughout the academic year, faculty participate in FLCs lead by the CEMUR leadership teamon various topics including EM, mentoring undergraduates, assessment, and lessons learned.These meetings provide an opportunity to interact with colleagues, learn about new andinnovative teaching methods, and get support or ask questions about the CURE-e.At the end of the semester, student feedback is collected through an Institutional Review Board(IRB) approved CURE-e Assessment Report. The goal of the assessment is to measure thedegree to which a student feels connected to their STEM field and if they recognize thecharacteristics and activities associated with being
plan is being followed in Year 2: • Fall semester – DIT2/EERI + Concept Maps + Group Discussions • Spring semester – gaming interventions and post-survey using the pilot survey described above + Group DiscussionsIn future years, we will continue to collect data on students’ baseline levels of ethical knowledgeand reasoning. More qualitative data via group discussions will be gathered pre and post games,and observations of students playing the games will also be explored.AcknowledgementsThis research is being funded by the National Science Foundation, “Collaborative Research:Learning Engineering Ethics Through High-Impact Collaborative and Competitive Scenarios”(IUSE – 1934702).References[1] Streiner, Scott C., Daniel D. Burkey
andFall 2020. In the future, we plan to extend the evaluation to additional years with the samemethodology. A few recommendations to enhance teamwork for project-based learning are: (i)The project report may be submitted in multiple stages based on the progress; (ii) Team-mateevaluation could be implanted to ensure the involvement of the all-group members; (iii)Accountability could be achieved by dividing the work among the members and by providingnecessary materials on project management.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.1700640. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect
been noticed thatthere is a close connection between flow rules in ductile materials and sliding rules infrictional contacts under shear. The stress-strain curves for these two phenomena sharesimilar behavior. Several generalized plasticity models have been developed for metalsand soils to account for plastic deformations and to capture hysteretic effects. We wouldlike to mention here works by Mroz [5-7] where he and his colleagues described behaviorof metals under cyclic loads.In the present work we plan to apply a similar approach to analyze load history effectsand memory rules for the contact of two bodies with axisymmetric profiles Ar α based onthe solution by Jäger [8-10]. A numerical algorithm is outlined to calculate history ofrelative
enlightening for both the students and the instructor. Insights and lessonslearned from the exercise are presented along with future research endeavors planned to explorethis educational approach. Proceedings of the 2004 ASEE Gulf-Southwest Annual Conference Texas Tech University Copyright © 2004, American Society for Engineering Education IntroductionEducators are not only faced with the task of conveying the theories, concepts, principles andpractices of their profession, they are also slated with the challenge of motivating their students.Much effort has been spent by instructors trying to dream up a better and more
. Thematerial was organized in a way so students could relate new concepts with others previouslylearned. Feedback can be positive, negative or neutral.Following this schema, the current study investigates whether or not information retrievalthrough weekly quizzes can predict the final performance of undergraduate students in anengineering economics course. Accurate predictors of student performance early in the semestermay be used to induce positive reinforcement on the student. The main question guiding thisstudy is the following: can student final performance be accurately predicted based on tests ofprevious chunks of material? If such predictions are accurate, action plans can be put into placein cases where performance follows declining or unusual
), one tool deployed to help students navigatethe information landscape is IF I APPLY. This method uses two parts, the personal and theresource, to help users negotiate source evaluation. Reviewing a researcher’s own emotions andintellectual courage helps to limit the confirmation bias and reach students in a novel way.Through this paper, the authors plan to review selected evaluation methods before diving into adeeper explanation of the IF I APPLY tool. Finally, some examples from use in the classroomare shared. By exploring the changing face of source evaluation in the Penn State Universityengineering classroom, readers will better understand why it is important to put the student at thecenter of their own evaluation.Literature ReviewCRAAPOver
, colleges could better integrate other supportstructures such as friends or family into programs and activities they plan (4) Finally, one couldargue that the barriers themselves could be directly addressed to improve student experiences.While this is true and needed for sustaining systems improvements over the long term, utilizingcapacities and key enablers that already exists and works for the students might serve as a goodfirst step to ignite the process of systems-based improvements.The capabilities and deficiencies of the college in its goals, policies, processes, programs (thetechnical system), and how well the technical system in the college aligns with institutional goalsand environments directly impact the college’s success in recruiting
important to teach students. Forexample, most participants felt that engineers needed to be good at math and science, and theyalso felt that engineering content could be incorporated into a math or science classroom.However, even though he felt that engineering was important, Edward did not feel that he couldeasily incorporate any engineering into a chemistry class, which was the subject he planned toteach. He explained this by saying, “I feel like a lot of engineering would be hands-on work.Like if you had a specific engineering class, um, it would be very hands-on, um, in terms ofdesigning and chemistry has a lot of hands-on stuff, but those are more scientific processes. Like,why does this happen rather than let’s design something to, um, that
experiences. Data and Research PlanDescription of The Survey InstrumentAs part of the NSF-funded research project on ‘The Path From Education to the Workforce,’ weadministered the Career and Employment Planning survey (via Qualtrics) to select junior andsenior level STEM undergraduates in spring 2021 and 2022 at five institutions in one U.S. state.The survey examined select characteristics of the WREA, how many students considered andhad taken one or more WREAs, and how they perceived the experience. The survey was e-mailed to all juniors and seniors in two STEM disciplines, one of which was engineering.The focus of this paper examines the responses of 13 Likert-scaled items that align with theNACE [4] career
monitors and sensors.There is another method of soldering called Wave soldering, which involves passing the PCBover a layer of molten solder, which attaches to the contact points containing the components.To prevent oxidation of the contacts and improve the chances of attaching solder to the contactpoints, the PCB is sprayed with a flux spray, preheated, and then carried over a wave ofmolten solder. This method is commonly used for through-hole design PCBs and can alsowork with surface-mount components, although it requires more planning in the case ofdouble-sided designs. However, overheating during wave soldering is a significant risk thatcan damage both the PCB and components. Careful monitoring and temperature control areessential to ensure a
have been adopted widely in undergraduate robotics curricula. The kitcontains various mechanical components, sensors, actuators, and a microcontroller (Cortex). Thekit provides instructions to build a mobile robot with a simple arm on top. Using this kit, studentscan go through the process of construction, electronics assembly, and programming. The VEXrobot has been used to implement waypoint navigation, map building, and path planning [1]. However, VEX robots primarily focus on motion control and low-level sensing, and they donot have a vision sensor (such as a CCD camera). As a result, it does not provide an onboard imageprocessing capability. In recent years, cameras have become more widely used on robots, allowinga representation of the
understanding of the concerns of safety and risk, but limited field experience as apractitioner. Then, upon working in the field for a while, they may be able to develop more creativesolutions that also will work because they can combine both field experience and creativity. Giventhat the field of civil engineering and the resulting designs implemented by civil engineers have asignificant impact on many people, and the quality of these designs is imperative to ensuring publicsafety, it is no wonder than the concepts of creativity and risk are seemingly at odds.Conclusions, Limitations, and Future Work Engineers, like many other professionals, will collaborate on projects. Further, they willlikely plan and manage their timelines when working on
outcomes is helpful in knowing what we need to understand but not as important as the content itself”Based on the comments, we can see that more junior/senior level students expressed how helpfuland important is a good definition of learning outcomes for establishing their goals for the courseand for defining their study plan for the course.Conclusions and Future WorkA correct definition of the learning outcomes is crucial for the students to make more effectiveuse of them during their learning process in the courses.Technological tools such as LMSs help substantially in the management of the learningoutcomes definition. They also help in its publication and evaluation week by week or lesson bylesson, making it easy for the students to have
entrepreneurship education has developed beyond creating a businesstowards building entrepreneurial skills and business planning [5]. Therefore, there is a need toreview fields closely tied to entrepreneurship, such as leadership and innovation as well.Furthermore, a more holistic review is needed to examine various aspects of entrepreneurshipeducation beyond the delivery of courses, but with the inclusion of teaching methods,extracurricular activities, and curriculum design.More work is being done in the field of entrepreneurship in Canada, with the development ofcourses that focus on specific aspects of entrepreneurship beyond technical skills.Entrepreneurship education also now focuses on equity, diversity and inclusion (EDI). Forexample, as part of
they encounter. Once these processesare articulated, engineers must proceed to engaging in creating the potential solutions for of theproblems that they encounter. Through this, engineers generate potential solutions to theproblem, select an optimal solution, and design and engage in a step-by step-plan(s) andassociated analysis using engineering disciplinary skills. They verify results, evaluate, and adjustthe solutions they work on accordingly, until they reach an optimal solution for their identifiedproblems.10 This is an important process for practicing engineers, however, rarely are first yearengineering students exposed to and able to practice this process. Our program addresses thisimportant practice during the first semester that
been instituted, theassessment results are presented in summary form in Table 3. The data are summarized for eachsemester as the count of assessments that are either above or below the designated criteria of 3.0,per each SO and by either I, R, or A assessment type. A principal result indicated in thissummary format is the fact that 50% or more of assessments are below 3.0 for SOs 1, 2 and in afew cases, for SOs 6 and 7. A possible cause may be the relatively wide range of engineeringstudent performance our program experiences, since it is not a Tier 1 school where GPArequirements for graduation are typically more stringent. Historically, the department faculty hasindicated an action plan of “more example problems will be conducted during class
Davenport Bridget Davenport is a SMART Scholar for Naval Surface Warfare Center (NSWC) at the Port Huen- eme Division. She graduated from Ventura College with an Associates in Science with Engineering Honors. She transferred to California Polytechnic State University, San Luis Obispo in pursuit of an Electrical/Mechanical Engineering degree. She plans to attend UCLA to earn a Master’s Degree after returning back to work at the NSWC PHD. She is interested in working with the Vertical Launching System and Canister Maintenance and ORDALTSJason Faith BickfordLeslie AbellSara Dooley ©American Society for Engineering Education, 2023 2023 ASEE Section Conference
to understand howsearchers use particular mental models to find the information they need [25]. To collect thisvital information, it is necessary to expand this study’s design beyond self-reporting and includeseveral different knowledge elicitation tools in order to more accurately understand cognition incontext.Conclusion This exploratory CTA study provides data that highlight several areas where engineeringlibraries may focus their efforts to improve student search outcomes. It also confirms andextends existing literature in this area [7, 10]. We are planning a follow up study that willexplore how a larger group of undergraduate students use public search tools, the library’s searchtool, what they expect from each one, and where
undergraduate students’working with potential supervisors on research projects actually demolishes theirchances to practice complex problem skills. 2) The competing demands on facultyactually temper teachers’ enthusiasm and input in developing CPS ability. In fact,after joining the Washington Agreement in 2016, Chinese universities haveaccelerated the process of engineering education reform [26]. Although China'sengineering education certification standards mandate the inclusion of CPScompetency as a graduation requirement, universities have not yet implemented aspecific training plan to meet these requirements due to various constraints. As aresult, teachers have no extrinsic motivation to focus on students' CPS competencycultivation in
professionals looking to expand their networks, and similar aspects. In synthesizingand providing these resources in a consolidated repository, we provide an informationaloverview and easier access to resources that help support Black persons interested in computingand CS. As a result, this repository can be used as an assets-based instrument that can be sharedto increase awareness about resources and opportunities as well as interest to help broadenparticipation in computing and CS. In addition to this publication, we plan to disseminate thisrepository as an information source for a virtual mentoring chatbot created by one of the authors,and also through National Science Foundation reporting. Second, the compilation of this repository allows us
spatialreasoning, scale drawings and informal geometric constructions (Reporting Category 3, 7.6, 7.7,& 7.8). The theme of Drawing inferences about populations based on samples (ReportingCategory 5, 7.10 & 7.11) also underlies each of the experimental activities. Using data-collectionmaterials to help discern properties of operations in action such as generating equivalentexpressions by swapping out the order of collected data numbers to get the same result is just oneof many planned health-data activities with real-life consequences. Additionally, the project isideally suited to reinvigorate middle school students’ appreciation of random sampling to drawinferences about their unique population. Understanding that statistics can be used to
classroominstruction before the pandemic.Studies have shown that online education had a specific impact on engineering students. In [3], authorsfound that a considerable number of students changed their short-term plans about scheduling courses infuture semesters. Additionally, a noteworthy portion of students expressed concerns about theeffectiveness of online instruction. STEM students had to spend more time on self-directed learning andincreased time on their coursework overall [4]. Research has shown that blended (or hybrid) learninggenerally leads to better learning outcomes for STEM courses compared to non-STEM courses.However, paradoxically, students enrolled in hybrid STEM courses often report lower levels ofsatisfaction and may not view the courses
complete these in order to see the relevant exams. Are you coming to class? You should be working on these during it. Overall assessment: you have fallen behind in this course. You can absolutely catch up on things until the end of the course but it will get harder as more of them appear. Please come ask for help and make (and carry out) a plan to get caught up. Figure 8: Sample progress report for a student who is behind on several assignments.Classroom time On a typical lecture day, the students have watched a video and completed videoquestions before coming to class. The instructor puts up a short reminder of the days topics toserve as a quick reference for students. The instructor guides the students through the day’sactivity and in
[…] I’ve built so many skills, working on the computer, working on the net, using so many resources, like my way of processing data has changed. My planning and scheduling has changed. Like I didn’t even know I could become a better planner because of this lockdown, which is pretty cool.UnpreparedWhile two students felt that the pandemic made them more prepared for industry, six of the eightparticipants in this category indicated that the pandemic had a negative influence on how theyfelt prepared for the workplace. All students in this subcategory were concerned that COVID hadinterrupted their professional development. Four students highlighted that they had missed out onthe hands-on and practical component of their engineering
mother and son each have theirown interpretations and critical details which are discussed throughout the creation process and revealedin the contrasts between their final quilt squares. In C2, all three members choose to depict differentexperiences: The mother- creating pottery; the daughter- the family dog; and the son– swimming at thepool. Although the squares each depict distinct experiences, the cohort still discussed their perceptions ofeach other's narratives and informed each others’ designs, which in turn led to a greater understanding ofand appreciation for the experiences. This is evident in their contagious and constant positivity andaffirmations surrounding each other's designs and narratives.Current Research Plan / DirectionThis
generate a lot of energy over the course of a semester. That is the goal of Graywater Flow.Method and ApproachThe following image is a 2D sketch of our initial design plan. Figure 1a: Initial 2D design Figure 1b: Initial 3D Wheel design Figure 1c: Wheel digital modelOur initial design {Figures 1a, 1b, and 1c] utilized a few components that we determined necessaryto make our product as effective as possible. Each of these components was designed towardsaddressing a particular goal or obstacle. Firstly, we determined that we would need a part thatallowed us to concentrate the inflow of water. One of our design goals was to make our projectapplicable in all sorts of drains, and fixtures like water fountains and sinks tend to drain less
push researchers andeducational practitioners to reformulate and package non-scientific ideas in a scientific andpositivist way to be able to achieve their goals (e.g., research funding, new course design). Toprevent such efforts and gain a better picture of different world views, we may utilize AIprograms as artificial assessors, reviewing proposals and plans primarily through textual andnatural language processing methods. However, we again need to set rule-based conditions andexceptions for AI programs on what to consider Scientific and Non-scientific and whereIndigenous ways of knowing fall into that spectrum. So for either AI or human decision-makers,choices need to be made on the chain of logic and reasoning employed to appropriately
-12 engineering education and offers more than 1,800 lessons and hands-on activities contributed by 57 contributors (including 40 National Science Foundation (NSF) funded GK-12 and Research Experience for Teachers (RET) engineering education grants) and with over 3.5 million users annually (TeachEngineering, 2023). The students had the opportunity to pursue classroom testing of their designed activities and lesson-plan publication with TeachEngineering after the intervention (after the post-survey) unless they notified the course instructor to object to this pursuit. 6. Presenting their design to the class by utilizing PowerPoint slides with or without a physical model and voting for the top three
that is so widely taken in engineering prac-tice, but that many engineering ethics education programs do not use, given the focus on the‘rules and codes’ approach. In an engineering education students can often be taught one‘correct’ way to solve problems. They are shown how to learn and apply new things, howto perform well and attain the correct answer through hard work, but not how to fail well.Students might end up attempting a problem multiple times, but failure is never expected orincluded as part of the design plan, and more so is always to be avoided, despite the valuablelessons such an experience can give. With ethical problems especially, where downstreameffects of engineering decisions can have many unintended consequences, failure