judgment and decision making’, Journal of Behavioral Decision Making, 2012, 26,(3), pp. 285-29416 Patel, V.L., and Groen, G.J.: ‘The general and specific nature of medical expertise: A critical look’:‘Toward a general theory of expertise: Prospects and limits’ (Cambridge University Press, 1991), pp. 93-12517 Phillips, J.K., Klein, G., and Sieck, W.R.: ‘Expertise in judgment and decision making: A case fortraining intuitive decision skills’: ‘Blackwell handbook of judgment and decision making’ (BlackwellPublishing, 2004), pp. 297-32518 Seifert, C.M., Patalano, A.L., Hammond, K.J., and Converse, T.M.: ‘Experience and expertise: Therole of memory in planning for opportunities’: ‘Expertise in Context’ (AAAI Press/ MIT Press, 1997
) transistor degradationmechanism termed hot-carrier injection (HCI), and one involving the modeling of a back-end-of-line (BEOL) metal interconnect wear-out mechanism called electromigration (EM). In eachassignment, raw data was provided to students for analysis and establishment of an empiricalmodel, in which equation parameters were extracted and projected product lifetime wasdetermined. Though, in accordance with the planned learning outcomes, the individual projectsproved to be effective in acquiring the technical knowledge outside the majored disciplines [2],they did not encourage partnership across disciplines. Also, students were only asked to analyzethe reliability of a device from the experimental data collected under specific conditions
variety of ways, including student teams. This paper highlights our currentsupport strategy, including free software and training as well as increasing our event support, aswell as our plans for the future. We hope this paper helps continue this discussion of the bestways to support new engineers early in their careers.References[1] D. I. Spang, “Curriculum design and assessment to address the industry skills gap,” in 2014 ASEE Annual Conference & Exposition, 2014, pp. 24–345.[2] E. F. Crawley, D. R. Brodeur, and D. H. Soderholm, “The education of future aeronautical engineers: conceiving, designing, implementing and operating,” J Sci Educ Technol, vol. 17, no. 2, pp. 138–151, 2008.[3] K. Alboaouh, “The gap between
goal of this study is to quantify how much the use ofuncommon language affects the performance of students from diverse backgrounds. To quantifythis effect, we created SAT level math questions written with and without uncommonterminology. The questions were then distributed to volunteers as anonymous surveys. Weconducted this research with volunteers from Introduction to Civil Engineering and Introductionto Mechanical Engineering courses. Below in the following section we will detail themethodology of the research, the results of the study, the conclusion, and the planned futurework.MethodologyThe study was approved by Minnesota State University’s Institutional Review Board (IRB)before the study was conducted.The data presented in this paper
participatoryactions, it was recommended that some modifications be made to the jigsaw classroommethod to fit into the peculiarities. This recommendation was because the typical jigsawclassroom method may be a bit tricky to apply if the subtopics should be divided into thenumber of members of the home groups. Therefore, the jigsaw classroom was modified asfollows: 1. Activities and lesson contents were planned to give the students tasks to lead the home groups initially formed (with a greater number of students n=70) through their work. The teaching materials included videos and slide deck. 2. The jigsaw classes were then divided into 7 home groups as per their participation in a pre-lecture test (n=39). The seven home groups were as
difficult. Positive interpersonalrelationships between collaborators can help buoy teams during trying times. In addition to thework that we do to create community and build relationships among our undergraduatecomputing students, we also take steps to support all of the relationships necessary to make theprogram function well. We work to enrich the relationships between the faculty who workdirectly on our projects, as well as the relationships we share with all of our stakeholders (andpotential future stakeholders), including University faculty who are loosely affiliated with orimpacted by the program, University leadership, and current and potential future industrypartners. Practically, this involves the regular planning and execution of events
Sustainable Development Goals or UNSDGs[1]. The preamble begins, “This Agenda is a plan of action for people, planet and prosperity …They [the 17 goals and 169 targets] are integrated and indivisible and balance the threedimensions of sustainable development: the economic, social and environmental.” Measuringboth the direct as well as the indirect costs (and benefits) of these three dimensions – people,planet, and prosperity – is known as “full cost accounting” or “true cost accounting” (i.e., hereinknown as “triple bottom line”). This triple bottom line varies from “standard accounting” in anumber of important ways. For example, the value of goods and services are recorded even if nocash outlays are involved and lifecycle analysis is used to
projects completed.Clients who responded indicated that the students achieved the project deliverables. One of theclients, a startup company (Lunnie) that recently launched a new postpartum bra utilized theresults from one of the projects a team worked on at the University of Dayton’s Flyer pitchcompetition and won first place with over $25,000 cash award. The transdisciplinary studentteam of students and their clients conducted market research to understand how the competitorswere marketing and selling their products.They also conducted a social medial audit and advised the client on the best days and times topost ads and videos. This helped the client to be strategic with her social media posting. Thesocial media plan led to increased
and Environmental Science, vol. 12, no. 7. 2019. doi: 10.1039/c9ee00223e.[3] B. Plumer and J. Cowan, “California Plans to Ban Sales of New Gas-Powered Cars in 15 Years,” The New York TImes, 2020.[4] IEA, “Policies to promote electric vehicle deployment - Global EV Outlook 2021,” iea.org, 2021.[5] R. D. Braatz and O. D. Crisalle, “Chemical process control,” International Journal of Robust and Nonlinear Control, vol. 17, no. 13. 2007. doi: 10.1002/rnc.1173. 8 2023 ASEE Annual Conference[6] X. Li and Z. (Jacky) Huang, “An inverted classroom approach to educate MATLAB in chemical process
to the oil and gas arena. Worked for Shell, Altura, and Oxy until December 2019. Areas of experience, water floods and CO2 floods field performance and development, hydrocarbon storage caverns, CO2 source fields. The type of work I enjoyed the most was the development and implementation of plans to either improve field performance or expand field production. Nack for working with teams/groups of different backgrounds to achieve a common goal. Since 2006, first as a part-time instructor and after 2019 as a full-time lecturer teaching in the Petroleum Engineering Department at Texas Tech, the goal of my classes both sophomore and senior levels is to prepare young minds to become strong engineers capable of working
plans through Minecraft education to help Student STEM educate children on those engineering Engagement fields in a fun and interactive way.III Food4Homeless Local homeless Create a system that will help eliminate In-progress communities in food waste and benefit the homeless Chicago community by distributing food that restaurants throw away at the end of the night to the local homeless communities in
. Raviv, W. Zhou and A. Shapira, "Safety by design: dialogues between designers and builders using virtual reality," Construction Management and Economics, vol. 33, p. 55–72, 2015.[19] D. Zhao and J. Lucas, "Virtual reality simulation for construction safety promotion," International journal of injury control and safety promotion, vol. 22, p. 57–67, 2015.[20] J. Goh, S. Hu and Y. Fang, "Human-in-the-loop simulation for crane lift planning in modular construction on-site assembly," in Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation, American Society of Civil Engineers Reston, VA, 2019, p. 71–78.[21] P. Wang, P. Wu, H.-L. Chi and X. Li, "Adopting lean thinking in
software enablers, forinterdisciplinary projects in scientific and engineering disciplines. The proposed toolkit isreplicable across institutions and provides access to industry-grade hardware for all communities.While individual institutions may use this open-source toolkit to create a remote lab for their ownpurposes, our sustainability plan, in coordination with LabsLand, proposes a scalable solutionallowing users to connect individual contributions together in order to decrease equipmentpurchase costs and cultivate further inter-institutional collaboration by sharing both physicalresources and user-generated content.In this paper, we share our approach in implementing an open-source, integrated remoteenvironment for software defined radio
-regulation of cognition (i.e., interpreting tasks, planning,enacting, monitoring, and evaluating processes) while solving EM problems of varying levels of difficulty;and (3) how students’ SRC and SRM may be enhanced in the context of EM problem-solving activitiesthrough developing SR-infused problem-solving practice.B. ObjectivesThe objectives of this project are to: (1) advance the knowledge of students’ use of self-regulation duringproblem-solving activities in EM academic settings; (2) assist EM educational practitioners in structuringproblem-solving activities and learning environments that support students’ self-regulation habits; and (3)bring together content experts and curriculum developers from EM disciplines to discuss and
observations of students’ engagement. Weekly Deliverables Portions of the research paper, group lesson plan, peer review feedback, research poster, PowerPoint presentation, resume or curriculum vita, personal statement, and final paper **Focus Group All-inclusive group feedback about aspects of the program, including travel, site experience, mentor experience, presentation preparation, research meetings, and recommendations for improvement Post-assessment Comparison for post attitudes towards research, career goals, interest in PhD, experience and confidence conducting research activities Longitudinal Survey
representing nothelpful, even to the slightest. The questions and average scores are included in Table 2.1. The Optimized Elbow project helped me to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgement to draw conclusions: 9.72. The Optimized Elbow project helped me to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, societal, environmental, and economic factors: 7.83. The Optimized Elbow project helped me to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
duplicates from the data file. Next, outcome variables for the study were checkedfor outliers and non-normality, supporting the assumptions for the planned analysis. An analysisof covariance (ANCOVA) [20] was used to answer the research question in this study with thefirst year implementation data, providing a mechanism for comparing the treatment and controlgroup post-test data for each outcome, while controlling for the pre-test level. Concernsregarding independence of the three outcomes could not be addressed using a multivariateanalysis given the small sample size for this initial study, so interpretations will focus on η2 effectsizes over statistical significance, and the p-value alpha level has been adjusted to 0.017 as aBonferroni correction
in the emerging renewable energyfield. Additionally, the course offered students a broad understanding of the important roleelectrical machines and power electronics play in the optimum generation and delivery ofrenewable energy. Integrating electrical machines and power electronics helped enhancestudents’ skill sets.The course instruction was complimented by Simulations (Simulink) that enhanced students’experiences by emulating real systems through a visual medium. Simulink exercises increasedstudent motivation and enhanced student learning by providing them with tools that they wouldencounter in industry. One of the improvements planned for the course is to increase emphasison learning how to use Simulink early in the course. It is
promote work through public profiles like LinkedIn, ResearchGate, and Scholarly Commons. The workshop concluded with an exploration of sharing preprints and postprints ethically. • Area: Undergraduate Research • Guest: Assistant Director for Research and Instruction Services at the Hunt Library 4. Academic vs. Industry Research • Overview: This workshop explored differences between research in an academic setting versus industry, including how work is planned, executed, and disseminated. • Area: Undergraduate Research • Guests: Academic researcher in the field of occupational safety, industry researcher from the Ford Motor Company, and government researcher from the
them, and they made adjustments to their plans, accordingly.Team 3. Team 3 first turned their attention to the physical construction materials they had beengiven to build the model of their microshelter. They measured these components and discussedhow these measurements could represent the size of the real structures. That is, they wereconcerned right away with the scale and scale factor of the model they would build. They noticedthe even dimensions—2in, 4in, 6in, and 8in—of the materials and then compared these to thedimensions of the supplies in the supply sheet. Although they focused initially on the two-dimensional space available for the floor (the“footprint” of the shelter), they were also very concerned about the interior height
facilitation for faculty to navigate relationships with their disabled students. She plans to complete her PhD research in biomedical acoustic applications. She has a B.S. in Integrated Engineering & Humanities from Lehigh University. ©American Society for Engineering Education, 2023IM STEM: LSAMP- IN Situ Inclusive MentoringAudrey R. Boklage, The University of Texas at AustinBen Flores, The University of Texas at El PasoEmily V. Landgren, The University of Texas at AustinAbstractFunded through the National Science Foundation Division for Equity for Excellence in STEM, the LouisStokes Regional Center of Excellence: Inclusive Mentoring in STEM (IM STEM) program, bringstogether experts dedicated to investigating
supportstudents).After the departure of the program coordinator, participants continued their research under thementorship of the faculty in Brno for the remainder of the 12-weeks. In addition to the directmentoring from the BUT faculty, each week participants had a virtual check-in (using the Zoomplatform) with the coordinator. During check-ins students would outline accomplishments,challenges, and plans for the following week with an opportunity to get technical suggestions orinsight on navigating relationships with their mentors. During the last week of the program,participants delivered 20-minute formal presentations to the participating BUT faculty groupsummarizing their summer research. This served as the final culminating experience to close
Canvas. I can’t engage.” Opportunities Threats • Exploring more Canvas features. • People are busy - how to incentivize? • Updating the website/communication, thus • The potential scope is too large. leading to it being easier to find and more • Organization is too dependent on a small well designed. group of people - not much for • Providing more open educational resources. policies/procedures/rules/bylaws/terms • Hiring an instructional designer. • No succession planning! “There is only one way to go and it’s up!” “We want to do everything.”The group agreed that the longevity of the Community of
”RFE Design and Development: Framing Engineering as Community Activism for Values-Driven Engineering”; Co-PI of NSF CISE ”EAGER: An Accessible Coding Curriculum for En- gaging Underserved Students with Special Needs in Afterschool Programs”; co-PI of NSF INCLUDES: South East Alliance for Persons with Disabilities in STEM, Co-PI of NSF CE 21 Collaborative Research: Planning Grant: Computer Science for All (CS4ALL)). Dr. Marghitu was also PI of grants from Center for Woman in Information Technology, Daniel F. Bree- den Endowment for Faculty Enhancement, AccessComputing Alliance, Computer Science Collaboration Project, Microsoft Fuse Research, Altova Co., and Pearson Education Publishing Co. Dr. Marghitu has
a predictor for studentsuccess and that students lacking conscientiousness might be better served by having shorterdeadlines. Conversely, longer deadlines can give students more time to plan, research, and writetheir assignments, which can lead to higher quality work and increased student understanding.Peterson and Digman [6] explored rigid assignment deadlines (RAD) versus a semi self-paced(SSP) course design in a flipped classroom environment. While there were no differences intraditional learner outcomes (e.g., homework and exam scores, course grades), students in theSSP design were granted too much flexibility in their deadlines. SSP students only had twodeadlines throughout the semester before each of the two examinations which led to
Paper ID #38319Board 354: Organizational Partnerships S-STEM Research HubDr. David B Knight, Virginia Tech David Knight is an associate professor in the Department of Engineering Education at Virginia Tech. He also serves as Special Assistant to the Dean for Strategic Plan Implementation and Director of Research of the Academy of Global Engineering. His research tends to be at the macro-scale, focused on a systems- level perspective of how engineering education can become more effective, efficient, and inclusive, and considers the intersection between policy and organizational contexts.Dr. Bevlee A. Watford, Virginia Tech
routine adaptations of class activity plans based on the immediate performanceresults of students. Since this is a work in progress paper, we also hope to garner feedback fromthe engineering education community of ways that we can measure the impact of theseassessments.Here are several options we are considering for future work which are grounded in past studies: 1. Measuring student’s self-efficacy and test anxiety similarly to Malespina and Singh [4] 2. Gathering information on student interaction such as first time wrong and time spent on the formative assessment activities as discussed in Barlow et.al. [5] 3. Marchisio et.al. Look at Nicol and Macfarlane-Dick's Model of Feedback and Hattie and Timperley's Model of
- pointLikert response scale for all questions, ensuring there was a middle option to reducemeasurement error. Questions were also asked about future research plans so that researchpersistence intentions could be correlated to the variables in our research question.All responses were converted to a coded value based upon response, as shown in Table 2. Inaddition to the questions, we requested demographic data (year in degree program, firstgeneration status, gender identity, racial/ ethnic identity) which will help to group the responsesduring the analysis.Table 2: Coded values for potential survey responses, based upon a 5- point response scale.Value Potential Survey Responses5 Very Certain Very
ventures where the entrepreneur takes on risk, comes up with abusiness plan, and attempts to meet a gap in an industry. Start-ups tend to be created with theplan for them to grow very quickly, solve a problem with an innovative solution, and meet theneeds of a wide market [5]. The initial group of people that create a start-up are called a productteam. A product team at a start-up, made up of around three to fifteen people, tends to be madeup of at least a product manager, a product designer, and a few engineers [5]. This group isneeded to begin a start-up, figure out the design of the product, build the product, test theproduct, improve the product, and work to understand if the product is meeting customer needs.Jing [5] points out that, though
ADAaccommodation for students is extra time on tests this becomes null if there is no time limit forall students.One additional consideration of take-home tests is the increased time commitment required. Dueto the differences in course structuring for this type of test instructors would be forced toreevaluate their course plan to make it work. Instructor 1 emphasized that the primary reasonpreventing wider adoption (for their own classes) is a huge time commitment to restructuring theclass to accommodate for the new testing type. Due to the large amount of work in switching acourse over to this style Instructors are hesitant to put in that time commitment when standardtesting procedures are not creating perceived problems.Student RoleOut of the three