Paper ID #41889Board 427: Work in Progress: ADVANCE Strategic Partnership for Alignmentof Community Engagement in STEM (SPACES)Dr. Angela R Bielefeldt, University of Colorado, Boulder Angela Bielefeldt is a professor at the University of Colorado Boulder in the Department of Civil, Environmental, and Architectural Engineering (CEAE) and Director of the Integrated Design Engineering (IDE) program. The IDE program offers a BS degree accredited under the general criteria of the ABET EAC and a new PhD degree in Engineering Education. Bielefeldt’s research focuses on sustainability, ethics, social responsibility, and community
. In the field of engineering, morespecifically, programs are often characterized by their narrow focus on and rigid adherence tostandardized ways of thinking and traditional modes of instruction and assessment [1, 2]. Thisone-size-fits-all model of teaching and learning limits opportunities not only for traditionallearners to engage in interactive learning and creative problem solving but also for studentswhose ways of thinking fall outside of the typical range. While accommodations such asextended time on exams and assistance with notetaking may provide some form of equity forthese students [3-5], they fail to address the underlying mismatch between the unique abilities ofneurodivergent students and the demands of the traditional educational
). They workedwith the professors in the teachHOUSTON on applying their knowledge learned to lesson plandesign. Participants met weekly for Brown Bag teacher seminars to share their experiences anddiscuss curricula. On the final day of the program, the PSTs presented their curriculum prototypefor their future field teaching to the group and received completion certificates. This summer isspecial in that this cohort of 8 PSTs participated in some activities together with 15 high schoolin-service teachers in the Research Experience for Teachers (RET) program at UH. The commonactivities include one day workshop in SolidWorks design, field trips, and some curriculumdevelopment sessions. Two research mentors mentored both PST and in-service teachers
Symposium and the Purdue University 2018 recipient of School of Engineering Education Award for Excellence in Undergraduate Teaching and the 2018 College of Engineering Exceptional Early Career Teaching Award.Ms. Brianna Shani Benedict, Purdue University Brianna Benedict is a Ph.D. Candidate in the School of Engineering Education at Purdue University. She earned her Bachelor’s and Master’s of Science in Industrial and Systems Engineering from North Carolina Agricultural and Technical State University. Her research focuses on understanding how hybrid spaces influence engineering students’ identity development, belonging, and agency in interdisciplinary engineering education. She co-leads the CDEI virtual workshop team
Paper ID #21417Design of a Virtual Laboratory for Automation ControlMr. Zelin Zhu Zelin Zhu is a Software Development Engineer at ESRI in Redlands, California, USA. He holds dual master’s degrees in Electrical and Computer Engineering, and Modeling, Simulation and Visualization Engineering respectively from Old Dominion University and a bachelor’s degree in Electrical Engineer- ing and Automation from Nanjing University of Posts and Telecommunications. He is the first generation Microsoft HoloLens developer. His research interests include virtual reality and mobile application de- velopment.Prof. Yuzhong Shen, Old
universities andengineering faculty members interested in collaborating with such clubs to introduce real-world problemsand demonstrations in their rocketry courses.1. Introduction and History of Cyclone Rocketry ClubThe Cyclone Rocketry club is an engineering club at Iowa State University (ISU) in the U.S. that providesstudents with hands-on experience in designing, manufacturing, and testing large, high-power rockets.Cyclone Rocketry’s mission statement is “to educate, challenge, and inspire the Iowa State students,community, and future generations about rocketry, science, engineering, and space exploration.” AlthoughCyclone Rocketry is a relatively new organization, only in its fifth year as of 2022, it is well-respectedwithin the Iowa State
base perspective of first-generation college students by providing asset-based approaches to understanding this population. Dina is interested in understanding how first-generation college students author their identities as engineers and negotiate their multiple identities in the current culture of engineering.Dr. Jessica Mary Smith, Colorado School of Mines Jessica M. Smith is Associate Professor in the Engineering, Design & Society Division at the Colorado School of Mines and Co-Director of Humanitarian Engineering. She is an anthropologist with two major research areas: 1) the sociocultural dynamics of extractive and energy industries, with a focus on cor- porate social responsibility, social justice, labor
economic, social andcultural status (ESCS), immigration status (dummy variables for first generation (0= native andSecond generation, 1=first generation) and second-generation immigrants(0 =native and firstgeneration, 1= second generation), school level variables such as school mean socio economicstatus (SES), School type (0=public, 1= private), school urbanicity(0=rural, 1= urban) gradelevel (1=8th, 2=9th, 3=10th, 4=11th, 5=12th) and gender(0 =male, 1= female). The descriptivestatistics for both dependent and independent variables are presented in table 1. Table 1 Descriptive Statistics Variables N Min Max Mean Std. Dev. Grade level 4838.00 8.00
, we construct the final prototype. In this case,we wrapped the 28 gauge copper wire a 1000 times. First, we tested the system by moving theelevator at the same speed as we did earlier and were able to optimize the electric potential at 0.6- 2 V. At 0.2 second flight time, we were able to light the LED momentarily as shown in Figure3b (red LED).Figgure 3a: The Prototype Figure 3b: LED lighted up and LCD display the voltageNext, we moved the elevator at different speeds namely: slow configuration (Figure 4a - flighttime is 2 seconds), medium configuration (Figure 4b - flight time is 1 second), fast configuration(Figure 4c - flight time is 0.5 second). In each configuration, electric voltage was generated bythe elevator. As
in male students [18]. Among pre-pandemic students, we previously found thatfemale engineering students have a higher grade-threshold for seeking SI [1], are more likely touse SI and with a greater frequency [7], are more likely to find SI helpful [3], and receive greaterbenefits from SI, in terms of improved grade outcomes [2,7] compared to their male peers.Whether an individual is a first-generation college student and/or a member of anunderrepresented population may also impact their self-efficacy and inclinations to seek helpduring their first year of college. For example, Whitley et al. reported that first-generationstudents are less likely to seek out institutional resources, such as SI [19]. Engle and Tintohypothesized that this
Oliver and Megan advertised theimportance of the macroethics lesson beforehand, the low attendance for both the macroethicsand regular lessons may be due to students believing that the social components of engineeringare not relevant to their technical education [1].Or, this level of attendance may just be a product of national student attitudes toward in-personattendance post-COVID [23]. During other “technical” class periods, there were typically 40students present in person. Oliver noted a reason for low attendance as the fact that lectures wererecorded and he posted typed notes. Students complete individual assignments and exams andlearn the technical content through lectures on the whiteboard or online. There is nocollaboration during or
complete an engineering design project.As a learning outcome for a senior design project (and a Master’s thesis), the second one aboveis the most important.Understanding the distribution systemThe technical aspects of the project consisted of several tasks. First, to characterize themicrogrid, it is necessary to identify energy resources and critical loads, obtain network data, andcollect historical generation and load resource data. A microgrid, as defined earlier in this paper,is a controlled, coordinated unit within recognizable boundaries, not merely a piece, planned orrandom, of a distribution system with distributed energy resources (DER). [1] In the case athand, the largest city between Minneapolis and Seattle along the northern tier of
authors attempt to answer twoquestions: (1) how does an inventor think about forming a whole (complex device, tool orfunction) from parts (simple components)? (2) How can generalizations of thinking processes ofinventors be derived to “guide the act of invention” (p. 321)?Weber et al examined an actual patent (Patent # 4,683,826), granted to John B. Solie, H.D.Wittmuss and O.C. Burnside in 1987, and interviewed one of the inventors of the patent (John B.Solie) using a retrospective protocol method to understand the invention process and derive a setof heuristics to guide invention. Patent # 4,683,826 is an “agricultural invention for theapplication of herbicides” (p. 321) used to apply “herbicide uniformly in one pass over an area,using existing
engagement and address theneeds of kinesthetic learners [1, 2]. Perceived benefits from robot integration in introductoryprogramming courses include an increase in programming skills, peer learning, and studentmotivation [3]. It has been observed that along with fostering creativity, using robotics in thesecourses increases student success [4, 5]. In general, introductory engineering courses haveincorporated robots with a goal to increase problem solving skills [6] and overall programretention [7]. However, robots are often a source of frustration to students. McGill observed thatto gain benefits in student motivation in an introductory programming course, hardware andsoftware implementations need to be better investigated and developed to
standard of living"[1]. This problem includes undernourishment, child mortality, poor access to schooling, lack ofaccess to electricity, sanitation, and drinking water, and any holding of housing, assets, andcooking fuel. To address this situation, in 2017, during the seventieth session of the GeneralAssembly of the United Nations, world leaders adopted the outcome document "Transformingour world: The 2030 Agenda for Sustainable Development". The report became the route forachieving sustainable development to free "the human race from the tyranny of poverty and wantand to heal and secure our planet" [2]. However, according to the most recent results, for 2018,“across the 105 countries covered by the Global MPI [Multidimensional Poverty Index], 1.3
encourage early starts or to decrease cheating, newexperiences using auto-graders' built-in similarity checkers to reduce cheating [12],and much more.References[1] M. Sherman, S. Bassil, D. Lipman, N. Tuck, and F. Martin, “Impact of auto- grading on an introductory computing course,” Journal of Computing Sciences in Colleges, vol. 28, no. 6, pp. 69-75, Jun 2013.[2] R. Pettit, J. Homer, R. Gee, S. Mengel, and A. Starbuck. “An Empirical Study of Iterative Improvement in Programming Assignments.” in Proceedings of the 46th ACM Technical Symposium on Computer Science Education, SIGCSE, pp. 410-415, Feb 24 2015.[3] G. Haldeman, A. Tjang, M. Babeş-Vroman, S. Bartos, J. Shah, D. Yucht, and T.D. Nguyen, “Providing meaningful feedback for
Paper ID #14202The Flipped Classroom: It’s (Still) All About EngagementDr. Cory J. Prust, Milwaukee School of Engineering Dr. Cory J. Prust is an Associate Professor in the Electrical Engineering and Computer Science Depart- ment at Milwaukee School of Engineering (MSOE). He earned his BSEE degree from MSOE in 2001 and his Ph.D. from Purdue University in 2006. Prior to joining MSOE in 2009, he was a Technical Staff mem- ber at MIT Lincoln Laboratory. He teaches courses in the signal processing, communication systems, and embedded systems areas.Dr. Richard W. Kelnhofer, Milwaukee School of Engineering Dr. Kelnhofer is the
promising indications these techniques were positively perceived bythe students.1. Introduction: Literature Review and Instructor BackgroundThe benefits and effectiveness of active learning for student problem solving, conceptual gains,exam scores, and engagement are well established [1]–[5]. Active learning is defined as in-classwork by students that goes beyond simply listening to the instructor and taking notes [6]. Despitethe known benefits of active learning, lecture-based teaching in STEM is still the prevalentapproach, with active learning in general propagating at a slow rate [5], [7], [8]. For example, inelectrical and computer engineering (ECE) departments, where the courses in the present paperare housed, a survey of U.S. faculty
payroll for the US aerospace industry is in excess of $98 billiondollars. The aerospace industry is nationwide, with California, Texas, and Washington havingthe largest employment and significant clusters in Alabama, Arizona, Georgia, and Kansas3. Itis important that a pool of workers exists who have the correct set of skills for this industry.The tools and techniques used in aerospace manufacturing are changing rapidly. It is importantthat the workforce not only have the technical skills to operate and maintain the equipment, butalso an understanding of teamwork and modern manufacturing concepts, such as leanmanufacturing.The traditional hand/master mechanic methods of manufacturing can no longer attain thedemanding tolerances that are inherent
and faculty member at West- ern Washington University. She spends her time teaching, developing and implementing innovative cur- riculum, and managing National Science Foundation grants. She is passionate about inspiring the next generation of engineering students to think outside of the box, especially those that are walking along a non-traditional pathway.Mr. Dana Hickenbottom, Dana has worked in the solar industry for 5 years. He started his career at itek Energy, a domestic solar module manufacturer based in Bellingham, WA. During his time as Technical Support Manager he worked to ensure product functionality in the field, assisted with research and development, and provided technical training to customers
. Schubert1 1 Shiley-Marcos School of Engineering, University of San Diego, San Diego, CAAbstract to high prices, and only some versions have The Digilent Analog Discovery 2™ the potential to be connected to and controlled(DAD2) is a multi-function instrument that through a computer, which is essential inallows users to measure, visualize, generate, today’s world. In addition, creating portablerecord, and control mixed signal circuits of all laboratories for online courses or courseskinds [1]. In this paper, the use of DAD2 in an taught abroad are
inspiration (snake, gecko, or open internet)and sources (basic, intermediate, or technical), as seen in Fig. 1. The biological inspirations weredistributed randomly, resulting in 6 gecko-inspiration groups, 5 snake-inspiration groups, and 1free internet group (with the limitation of not using AskNature). Figure 1 clarifies the threereference categories for the gecko and snake groups: basic – child level (e.g., zoo and nationalgeographic kids-type publications), intermediate – general public level (e.g. Wikipedia and otheronline encyclopedias), and technical – researcher level (e.g. discipline-specific journalpublications).Students had most of a 75-minute class to read their resources, complete a T-Chart, and generatea bio-inspired design concept. The
top-score. The second option is a popular technique that tries to minimize the effect ofraw numbers, percentage improvement, however it might have some bias for the low-scorerssince they might show huge percentage of improvement but not indicating that the new score is atop-score.The third option was defined with basis on the ultimate objective of having improvedvisualization skills in order to have higher possibilities of doing a technical career. Therefore, ittries to capture if the Post- score is good enough to become a top-score. This indicator is thedifference between the ‘tier’ were the Post-score is, compared to the ‘tier’ were the Pre-scorewas. Four tiers were defined in this calculation: Tier 1 – score higher than one
outlines that the document should contain details of the plans, subgoals, and schedules.Table 1: Reviewed papers including the context, elicitation, and model generation process (cont.)Dulipovici & Cognitive aspects in Participants were undergraduate software A time recording tool was used to measure The authors created five codes related to the typesRobillard a project-based engineering students the effort spent on each activity or artifact of artifacts the team spent time on (4 technical(2004) course in software
variable in PostTest situation wasasynchronously performed among the four groups. The subject assignment to the groups wasdone randomly. The methodological design is schematically explained in Fig. 1. In eachsemester, the students of the experimental group attended three sessions of practicing artcriticism and aesthetic judgment. The chosen topics were selected from different chapters of anart blog page previously release by the instructors of the courses involved. Figure 1. Procedure designThe example included in the next section describes, in succinct form, an example of activitydeveloped with a group of students using cognitive and metacognitive tools, and some strategiesof metacognitive instruction, to
workshops offered in these spaces include laser cutting businesscards, engraved mugs, and 3D printing basics.ContributionWe propose an in-progress, practice-facing equity bifocals framework (Figure 1) to help theengineering education community conceptualize equity in university makerspaces. We thenprovide one detailed illustration (using data from our ethnographic fieldwork) thatexemplifies how we might use the framework to (a) identify generous and criticalinterpretations of a makerspace and (b) discuss design tensions as seen in Table 1.Framework. The first component of the framework is the perspective of equity [1], [12]. Aswe strive to design makerspaces where all participants can reach their full academicpotential, we call attention to the
for this problem, b) Solve the resulting differential equation to obtain a general solution for temperature distribution in the sphereMost student solved the part (a) of the problem correctly and presented the following expressionas the answer 1 𝑑 2 𝑑𝑇 𝑞̇ (𝑟 ) = − 𝑟 2 𝑑𝑟 𝑑𝑟 𝑘The solution to part (b) should have been very easy, since the second order ordinary differentialequation could have been solved simply by integration. Unfortunately, many students cancelled 𝑑2𝑇 𝑞̇the two r2 appearing on the left-hand side of the equation and presented it as: 2 = − , before
tracks learners’ progress, i.e., it adjusts future responses based onconversation history, and account for the user's existing knowledge. The Adviser alsoincorporates user-level personalization, dynamically adjusting language and the depth ofinformation to align with different user levels. Additionally, Knowledge Retrieval AugmentedGeneration (RAG) [8] integrates knowledge retrieval from manufacturing documents withLarge-Language-Model’s generation capabilities (ChatGPT in this case) to provide contextuallyrelevant responses. Manufacturing documents are divided into smaller chunks of 500 words.Each chunk is transformed into a numerical representation (embedding), capturing semanticinformation for similarity-based retrieval. Figure 1 shows the
notetaking 6 Principles of the use of color 2 Principles of making text visual 7 Principles of lettering 3 Principles of layout 8 Creating and sharing tactile notes 4 Imagery and creating an icon library 9 Final reflection 5 Mid-point reflection on “Today, 5, 10 years...” 10 Potluck celebrating the seminar work generated Table 1. Overview of Seminar Weekly Content (See Appendix A for details)The curriculum was iteratively designed by three co-authors (a master’s student, a PhD student,and a professor). Overall, the curriculum was informed by online resources on visual notetakingand sketch noting, reflective activities, and our prior teaching
from twoEngineering courses where novel digital notes were implemented via the UDL based videoteaching platform ClassTranscribe [8]. These digital notes consisting of both text and visualelements were automatically generated from lecture videos. The notes were then separated intodistinct chapters and sub-chapters that include many images, image descriptions, text andhyperlinks that can be edited or shuffled by the instructor. Researchers have used it as a newaccessible instructional tool and found it improved the course content accessibility and learningoutcomes [8].MethodsResearch questions and aimsWe conducted the analyses and experiments to address the following research questions: 1. How effectively can the current machine learning