faculty, surveys and success stories from faculty, and lastly, we provide ananalysis and overview to improve self-starter learning communities related to EML micromomentsin the future.2. EML micromomentsTraditionally, EML implementations connect to semester-long, large-scale projects or seniordesign courses where students apply concepts learned in multiple classes to a “real-world”problem. The timing of senior design in the final year of undergraduate studies makes itchallenging to develop an entrepreneurial mindset [9]. One way it can be effective for faculty toacclimate to EML is by doing small implementations through micromoments. Micromoments arerapid and easy active learning implementations that promote students’ learning, emphasizing the3
similar approach in the future. However, they all recommended starting with a simpler case first to understand the learning method, then moving forward to a more advanced tutorial as the one offered to them.• The final stage is to introduce this intervention in the classroom for all students who are taking the Kinetics and Reactor Design. A structured assessment needs to be established to assess the students' learning experience. At the moment, the intention for the structured assessment is to provide the same questionnaire (in the form of reflection questions) to two different classes. The first class will be implementing Jupyter notebook as a tool in the assignments and course project along with in-class tutorials on how
students. This was the first data collection in a three year project and effortsare being made to increase participation in future assessments. Below is a pair of concept mapspre- and post- from the same student in Spring 22. Based on the developed rubric, presented indetail in [7], there are clear visual clues of the expansion in the areas of comprehension andorganization of concepts across the two maps. Figure 1. Concept Map Pre-Assessment of Renewable Energy Systems (Spring 22) Figure 2. Concept Map Post-Assessment of Renewable Energy Systems (Spring 22) VI. Conclusion This paper presents the process of updating UG power engineering curriculum by adaptingexisting courses in two collaborating institutions with new modules
Paper ID #39068Telling Half a Story: A Mixed Methods Approach to UnderstandingCulturally Relevant Engineering Education in Nigeria and the U.S.Moses Olayemi, Purdue University, West Lafayette Moses Olayemi is a Doctoral Candidate and Bilsland Dissertation Fellow in the School of Engineering Education at Purdue University. His research interests revolve around the professional development of engineering educators in low resource/post-conflict settings and the design and contextualization of in- struments to measure the impact of educational interventions. Research projects on these topics have and are currently being
female high schoolstudents and college engineering students and found that most high school students and theirparents, as well as other identified role models did not really understand what engineers do andwere not motivated by what the profession of engineering recommended as reasons to pursueengineering. Cruz and Kellam [7] conducted in-depth interviews with 21 engineering students,including seven female students, in several programs and synthesized their findings through theperspective of the narrative arc of classic adventure stories. They found that high self-efficacy inmath and science and a background in tinkering with engineering toys or projects earlier in theireducation were among the strongest motivators to choose a major in
indifference, making the melding ofidentities and feeling able to bring one’s whole self to the profession difficult. This paper will sharefindings and implications highlighting how college students can connect their engineering and religiousidentities. This qualitative, phenomenological study – part of a larger, National Science Foundationfunded project – is focused on two broad questions:(1) How does an undergraduate college student develop their engineering identity?(2) How does the religious identity of an undergraduate college student influence the development of anengineering identity?This study represents a deep dive into the lived experiences of one engineering woman’s college studentexperience with this phenomenon. Over a three-interview
and practitioners, this paper frames the current state ofthe community’s knowledge gaps and provides insights into the discipline’s future directions.IntroductionFor nearly three decades, the engineering community and society have realized that engineering work has a direct impact on societyand the world in which we live [1], [2]. Developing engineers for future work is socio-technical in nature; success in modernengineering projects requires more than technical capability, but also the ability to manage teams of people and lead them towards theaccomplishment of common goals. Adapting to this new socio-technical reality has brought a recognition that holistic engineeringdesign techniques and professional skills development, (to include
goals, andparticipate in reflection exercises and program activities. Monthly workshops covered professionaland academic goal-setting topics, vision boarding, scholarship, study abroad, internship, andresearch information sessions.Mentees Feedback: Mentees share their experiences about feeling safe and confident as theyjourney through the rigor of academic life.Mentoring Structure, Relationship, and Mentors Feedback: The mentors serve two roles,mentoring and tutoring their mentees. The vision boarding session was well attended; studentsbonded with their mentors and freely shared their academic and personal goals. Mentors helpstudents with course registration, advising, proofreading essays, building a project, finding jobs,researching labs, or
hybrid format in Spring2021, where in-person students attended lectures in a classroom while online students participatedin a live Zoom session. The course instructor used a two-device setup, in which one device wasused to project and share the slides and the other for interacting with online students. Lectureswere not recorded for asynchronous access. Besides the lectures, weekly discussion section andoffice hours were offered via Zoom synchronous session for all students. Overall, 47 students(33.8%) were registered for the in-person section and 92 students (66.2%) registered for theonline section.Since students had the option to choose either the in-person or online section in both courses, weunderstand that self-selection bias will play a
example, for some, thequestion might have been part of a homework assignment, while for others it may have beenused during lecture to stimulate active learning. Similarly, only a subset of instructors includedfollow-up questions asking students to explain their answer and answer whether they understoodwhat the question was asking and whether it made them think deeply about the course material,as shown in Figure 1. We selected only cases where all of those follow-ups were part of theassignment and where the students provided consent to participated in the study. This study wasconducted as part of a larger project to facilitate and study the use and propagation of theConcept Warehouse in mechanical engineering. [36]Table 1. Institutions
are diversity, gender equity, retention, project-based learning, cognitive models of problem-solving, and making engineering textbooks more accessible and innovative for students. ©American Society for Engineering Education, 2023The use of 3D printed media to improve the accessibility of engineering educational materialsAuthors: Ryan Barlow, Alicia Clark, James Eakins, Lauren Fogg, Adrian Rodriguez, GregSirokman, Jennifer WelterKeywords: 3D printing, accessibility, visual impairment, alt text,The use of 3D printed media to improve the accessibility of engineeringeducational materialsAbstractThere is a need for improvement in teaching engineering, math, and science to students withblindness or visual impairment
, Ohio. While at SES, he specialized in mechanical test development and project management largely in the railroad and hunting equipment sectors. At GE Aviation, he led the certification effort for the LEAP-1A/1C HPC airfoil vibratory stress responses. Dr. Cress received his Ph.D and Master’s degrees from the University of Notre Dame, both in aerospace engineering; and his undergraduate Bachelors of Mechanical Engineering degree from the University of Dayton.Prof. Scott Schneider, University of Dayton Scott J. Schneider is an Associate Professor and the ETHOS Professor for Leadership in Community at the University of Dayton. Schneider is currently focusing his research in the areas of engineering education and
Paper ID #38728Work in Progress: Using Machine Learning to Map Student Narratives ofUnderstanding and Promoting Linguistic JusticeHarpreet Auby, Tufts University Harpreet is a graduate student in Chemical Engineering and STEM Education. He works with Dr. Milo Koretsky and helps study the role of learning assistants in the classroom as well as machine learning applications within educational research and evaluation. He is also involved in projects studying the uptake of the Concept Warehouse. His research interests include chemical engineering education, learning sciences, and social justice.Dr. Milo Koretsky, Tufts
Understand StudentProblem-Solving ApproachesMotivation and BackgroundProblem-solving is an essential skill needed in the field of engineering [1]. The ability toeffectively solve complex engineering problems can be the difference between project successand failure, but problem solving differs based on expertise. Experts are known to employdifferent problem-solving strategies compared to novices [2, 3]. Experts’ greater informationprocessing capacity [4] allows them to approach a problem in a non-systematic manner [5].Specific skills that allow experts to effectively solve a problem are the ability to mentallyrepresent a situation and the ability to employ different problem-solving approaches for differenttypes of engineering problems [6]. Expertise
validated ICAP [12] frameworkthat allows to make claims to measure student cognitive engagement in these activities [11]. Thisinformation will help us to shape our learning activities to meet student needs.In this first year, both assessments of IRB-approved surveys, and the worksheet, our focus willbe on identifying student misconceptions and determining how to repair these misconceptionswill help us to focus our repairs on the most important concepts in this topic. As we reiterate ourclassroom implementation strategies, we plan to implement this module across the country at dif-ferent institutions. Our ultimate goal in this project is to provide a learning tool that can enhancelearning in packed bed/fluidized bed topics across different
variousteaching roles (labs, tutorials and design projects), who contractually can undertake a maximum of 6hours of teaching per week. Our GTA cohort is somewhat heterogenous made up of a mixture ofrecent graduates and those with industrial experience, with some being entirely new to teaching whileothers have limited prior experience.The central research question guiding the study reported here is: whether there are any currentmechanisms that are illustrative of (potential) decisional capital, and how these could be furtherenhanced. As this paper is a work in progress (WIP) piece, we are deliberately focusing on one aspectof a much wider study, that considers how professional capital [3][4] can be used to enable individualGTAs to professionalise their
. * (w), Keszler, M. (p) Refrigeration Cycles. Boston, MA: Northeastern. 2016 [8 1/2”X 11” comic. 1-10](28) Shepherd, D. * (w), Lubchansky, M. (p). Recycle and Purge Streams. Boston, MA: Northeastern.2016 [8 1/2" X 11" comic. 1-8](29) Cogswell, C. (w), Shepherd, D. * (w), Pietsch, C. (p) Assumptions. Boston, MA: Northeastern.2016 [8 1/2” X 11” comic. 1-8](30) Shepherd, D. * (w), Lubchansky, M. (p). Heat Exchangers. Boston, MA: Northeastern. 2016 [8 1/2"X 11" comic. 1-6](31) Landherr, L.J.T. “By Students for Students: Using Course Projects to Create Learning Materials forFuture Classes”. Proceedings of the ASEE Annual Conference, 2020.(32) Shepherd, D. * (w), Cooke, J. (p). Fugacity. Boston, MA: Northeastern. 2016 [8 1/2" X 11" comic. 1-10](33
contained the same grade distribution forclass participation, weekly group work participation, homework, group project, and the finalexam. While the control group had 3 midterm exams, the intervention group had 2 midtermexams and one group research presentation with the same grade distribution. The goal of our IRB-approved research study was to analyze the impact of gender,racial/ethnic background, and first-generation status on the students’ mindsets. In this paper, wereported our preliminary observations from the control group and described the mindsetinterventions applied to the intervention group. In the future, we intend to report the observationsfrom the intervention group and show the comparisons between the control and the
-assessment, such as offering extra credit orincorporating self-assessment results into the overall grading scheme as used in this study.A we continue to work on this topic, the following future works are in the pipeline: 1) investigatehow different teaching approaches affect self-assessment accuracy, 2) investigate the effect of self-assessment on overall performance, and 3) analyze how different groups of students (such as poorand good students) assess themselves.AcknowledgementsThis project is based upon work supported by the National Science Foundation under Grant No.DUE 1821023. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the
2015 Atoms 2 2006-2010 General Engineering Topics 8 1998-2005The summer camp surveyed participants to obtain feedback regarding the camp's success as anoutreach activity designed to increase student interest in STEM topics. The results of the measured"Effects" of the intervention in the form of the Summer Camps were significantly positive (Figure4). Figure 4. Measurement of summer camp effects.For the analyzed articles, summer camp duration ranged from one to three weeks, allowingstudents to work on meaningful hands-on projects while covering a wide range of STEM topics.At the same time, a significant percentage (70
Engineering,” in 1997 Annual Conference Proceedings, Milwaukee, Wisconsin, 1997, p. 2.34.1-2.34.8. doi: 10.18260/1-2--6732.[3] C. K. DeMatteis, E. L. Allen, and Z. Ye, “LAunchPad: The Design and Evaluation of a STEM Recruitment Program for Women,” in 2018 IEEE Frontiers in Education Conference (FIE), San Jose, CA, USA, 2018, pp. 1–8. doi: 10.1109/FIE.2018.8659097.[4] National Science Board, “Science & Engineering Indicators,” Washington, D.C., 2020.[5] Project Lead the Way, “About Us.” https://www.pltw.org/about-us (accessed Jan. 20, 2019).[6] “Final Next Generation Science Standards Released.” https://www.nextgenscience.org/news/final- next-generation-science-standards-released (accessed Apr. 01, 2019
the petroleum engineering application of Artificial Intelligence and Machine Learning, he has authored four books (Shale Analytics, Data-Driven Reservoir Modeling, Application of Data-Driven Analytics for the Geological Storage of CO2, Smart Proxy Modeling), more than 230 technical papers and carried out more than 60 projects for independents, NOCs and IOCs. He is an SPE Distinguished Lecturer (2007 and 2020) and has been featured four times as a Distinguished Author in SPE’s Journal of Petroleum Technology (JPT 2000 and 2005). He is the founder of SPE’s Technical Section dedicated to AI and machine learning (Petroleum Data-Driven Analytics, 2011). He has been honored by the U.S. Secretary of Energy for his AI
Figure 11: Base Model Volume Mesh Figure 12: Local Volume Mesh VisualizationThe exact cell counts, and anisotropic tetrahedral settings vary between models to ensure theyeach reach at least the recommended 93% grid quality, as calculated, and reported by the flowsolver, Cobalt. General no slip walls were used for the boundary conditions for this project. Theexact grid settings and grid information can be found in Table 2. Table 2: Model Grid Conditions Grid Total Total Growth Model Quality dt (sec) Initial Δ Layers Decay Points
coming in to sightWhen it feels so rightTakes all my mightTo change my mindLook behindAnd be okayWith what I sayAnd what I doSo close to youBut I feel too trueTo myselfPlease give me helpTo move beyondThe feelings so strongThey eat awayHappiness staysDon’t you leaveNo not againPain happensBack in sightNot black and whiteCan I be okayWith all these shades of greyAnother area that might allow students to branch out from the engineering curriculum is free-hand drawing, a drawing that is executed by hand without guiding instruments, measurements, orother aids. Freehand drawing enables visualization of an idea in the form of a sketch. It is also auniversal language designers use to communicate with other participants of a project. That iswhy freehand
coming in to sightWhen it feels so rightTakes all my mightTo change my mindLook behindAnd be okayWith what I sayAnd what I doSo close to youBut I feel too trueTo myselfPlease give me helpTo move beyondThe feelings so strongThey eat awayHappiness staysDon’t you leaveNo not againPain happensBack in sightNot black and whiteCan I be okayWith all these shades of greyAnother area that might allow students to branch out from the engineering curriculum is free-hand drawing, a drawing that is executed by hand without guiding instruments, measurements, orother aids. Freehand drawing enables visualization of an idea in the form of a sketch. It is also auniversal language designers use to communicate with other participants of a project. That iswhy freehand
withthe interest areas of the available alumni resulted in several more protégé/mentor pairings but anumber of interested alumni remained unpaired.All interested students were finally able to complete the required initial training for the programby late October, approximately two months later than planned. Email follow-ups to bothprotégés and mentors in late November found about two-thirds of the pairings working well, andabout one-third of the protégés needing additional guidance or encouragement to maintain theirresponsibilities in the program.Methods – Understanding the Impacts of MentoringThe research component of the project was initially conceptualized as comprising two separatesurvey instruments – one based on the College Student Mentoring
solutions, drawing and creating representations,visualization, engaging in argument to defend best solution and redesign, communicating bestsolution (Yu et al., 2012; NRC, 2012). Engineering knowledge involves (a) engineering science,(b) engineering mathematics, and (c) engineering technical applications (AE3 & ASE, 2020). B. Engineering Integration Pedagogical Knowledge refers to having a deep understandingof suitable pedagogies (such as project-based learning or design-based learning), the connectionsof engineering with daily life, and materials suitable for engineering activities (Marquis, 2015).This knowledge requires teachers to decide which engineering integration methods will be themost appropriate for both content and their
that a substantial financial incentive will have to be provided.Balancing the need for a financial incentive with the necessity of avoiding coercion ofparticipants will have to be negotiated with our Institutional Review Board.In year three, we accomplished a major goal of this NSF funded project by validating adiagnostic instrument that can be used to assess entry level computational thinking skills. Overthe next year, we will begin disseminating this diagnostic through a publicly visible website( https://ectd.engr.tamu.edu/ ) and invite institutions to utilize it. We plan to maintain and updateour diagnostic items according to national and international dissemination results, so thisinstrument becomes a long-lasting resource to engineering
asubstitute to traditional teaching methods or textbook material.This paper has been successfully assessed with 45 students. We plan to further assess it with alarger audience. We hope that instructors find the examples useful when introducing the conceptof derivative.AcknowledgementsThe authors would like to thank Brittanney Adelmann for encouraging students to thinkcreatively and Clint Hatcher for his very helpful contributions and support. We also thankMichael Levine for his support of this project. © American Society for Engineering Education, 2023 2023 ASEE Southeastern Section ConferenceReferences[1] Azad, Kalid. Math better explained. CreateSpace Independent Publishing Platform. 2013.[2
types ofice breakers during initial training, identifying the objectives of different types of ice breakers,and small group discussion after watching videos of facilitators implementing differenticebreakers.Training in Fall 2022 also included a session led by the Intergroup Dialogue Project at CornellUniversity, which focused on communicating across difference and generative listening. Allfacilitators were required to participate, and the training gave them an opportunity to betterunderstand their own identity as well as the identities of their fellow facilitators. Finally,additional training in Fall 2022 included a collaboration with the Cornell Engineering LeadershipProgram which focused on the role facilitators play in sharing expertise and