at Wright College who do not participate in co-curricular activitiesC) Wright College alumni who are currently at 4-year institutionsD) Wright College alumni who graduated from a 4-year and are already in the workforce orgraduate program 3. Data Collection through different organizationsDifferent organizations will also contribute to data collection by providing the researchers withstudent attendance and participation in their organization-sponsored events. All data collectedwill be correlated to self-efficacy and student success. 4. AnalysisAll data collected will be deposited and managed according to the Data Management Plan of theNSF-HSI project. The data will also be analyzed while correlation studies are evaluated usingMicrosoft
participant remained in engineering and graduated, but was looking for ways to combinetheater and engineering. The student planned to pursue a graduate degree in technical directing.Discussion and Future WorkWhile the themes manifested themselves in similar ways across the two institutions, one themehighlighted differences between institutions with respect to matriculation pathway (direct versuscommon first year program matriculation). The common first-year students described limitationsin their choices for majors after they completed their common first-year experience. Commonfirst-year engineering students had to apply to and be admitted to engineering majors.Limitations occurred due to competitiveness for engineering majors as part of the
conclusion, this work in progress paper presented the design and implementation of an age-appropriateafter-school program for middle school students. Our experiential learning-based approach providedstudents with a unique opportunity to learn fundamental concepts about advanced manufacturing in anengaging way. This pilot offering served a small, but diverse cohort from the Worcester public schooldistrict. Plans for subsequent offerings are in place to extend its reach to more students, in underrepresentedcommunities.AcknowledgementsThe authors acknowledge the support of the WPI students and manufacturing lab instructors for theirassistance in facilitating the program sessions. The authors also acknowledge the following WPI personnel– Sue Sontgerath
differences lead to inequitable practices within teams such as unfair distributionsof the workload or type of work, often in problematic ways. For example, active and dominantstudents might advocate for themselves to take on the more challenging and interesting parts of aproject, leaving the more mundane and menial work to their passive teammates. Mix-genderedteams in engineering education have been found to have unbalanced work distribution: womenmay do more work related to planning or communication, while men may do more technicalwork [1]. Such disproportionate allocation of work and assumption of roles lead to studentsobtaining unequal gains from team projects, for which the more active student might have hadthe more enjoyable and useful
collected online, which greatly streamlines datacapture.We plan to apply the same analyses described here to the new set of student questions collectedduring the Spring 2021 semester, such that we can make final adjustments to the taxonomybefore using it as part of our full intervention in Fall 2021.References[1] P. H. Winne, “A perspective on state-of-the-art research on self-regulated learning,” Instr. Sci., vol. 33, no. 5, pp. 559–565, Nov. 2005, doi: 10.1007/s11251-005-1280-9.[2] A. C. Graesser and N. K. Person, “Question asking during tutoring,” Am. Educ. Res. J., vol. 31, no. 1, pp. 104–137, 1994, doi: 10.2307/1163269.[3] H. Pedrosa De Jesus, J. J. C. Teixeira-Dias, and M. Watts, “Questions of chemistry,” Int. J. Sci. Educ., vol. 25
Paper ID #32692The Virtues of Teamwork: A Course Module to Cultivate the Virtuous TeamWorkerDr. Michael D. Gross, Wake Forest University Dr. Michael Gross is a Founding Faculty and Associate Professor of Engineering and the David and Leila Farr Faculty Director of the Center for Entrepreneurship at Wake Forest University. He is part of the team that is planning, developing, and delivering the brand new Engineering program, a program viewed as an opportunity to break down silos across campus and creatively think about reimagining the undergraduate engineering educational experience, integration and collaboration across
knowledge (Streveler, Litzinger, Miller, & Steif, 2008). They may be best describedas “research-based distracter driven multiple-choice instruments” (Lindell, Pea & Foster, 2007,p. 14) featuring multiple-choice questions designed to test students’ understanding of concepts,while making use of incorrect ‘distracter’ solutions as options to highlight common studenterrors and misconceptions.Touted as a unique tool of assessment finding utility in both the summative evaluation of studentlearning as well as in the formative planning of instructional design (Reed-Rhoades & Imbrie,2008), concept inventories are gaining increasing prominence within engineering education. Themost well-known of these is the Force-Concept Inventory (FCI) that was
Instruction” in conjunction with overlays of FredRogers’ and Benjamin Bloom’s contributions in the production and delivery of digital lessons.Gagne has created a standard for instruction that provides both a framework for building a solidlesson plan and a foundation for evolving numerous learning theories. Though Gagne is rarelyincluded in constructivist discussions, the melding of Gagne’s vision with constructivist ideologyin a quest to best support digital learners provides an enticing blueprint for the 21st centuryclassroom.Marcy Driscoll’s close association with Gagne provides a seemingly dichotomous message inPsychology of Learning for Instruction [1], yet Dr. Driscoll’s turmoil proved an effectiveincubator for creation of a new learning theory
interfaces betweenlegacy robotic devices and the environment or the other machinery in work area. Wireless sensorplatforms that can sense the changes in work environment share their sensor observations withthe robot control system by storing the information over the cloud. A replacement for the robotcontrol system that has networking capability can read the sensor’s data from the cloud andcontrols the motion of the robot, accordingly.This in-progress project was implemented in four phases that will be discussed throughout themanuscript. These phases are i) planning for the required sensing and communication, ii) designapproach for data storage and visible cognitive computation, iii) using an industrial hardwareplatform with networking facilities
performedbetween Fall 2020 and Fall 2019 class.Conclusions and DiscussionsThe data from laboratory courses taught during Fall 2020 by various instructors of Indiana StateUniversity indicate two main points. 1. During pandemic (Fall 2020), instructors have successfully adapted the laboratory courses to conduct almost all the laboratory experiments as conducted pre-pandemic. 2. The comparison of grades for laboratory course taught pre-pandemic (Fall 2019) and post-pandemic (Fall 2020) also indicates that the student performance for these courses has not been affect during a planned semester while observing the precautions for pandemic.Other observations of this data are: • Indiana State University has small class sizes which
containing information about the victims (age, race, sec), date and time of the crime, etc.;motor vehicle collisions; Housing Preservation and Development (HPD) data set on buildings,units, and projects that began after January 1, 2014 and are counted towards the Housing NewYork plan; New York Air Quality data set; etc.After the completion of the project, the students wrote a report describing what they learned,what conclusions can be made based on this data. Student enthusiastically discussed theirfindings, and the semester concluded in a lively and productive discussion about the importanceof data analysis for the understanding of the city day-to-day life, problems. At the same time, thestudents learned about the importance of the broad and, at
Resources Engineering. She has worked with the Rising Scholars’ Program during the completion of her Master of Science in Agricul- tural and Biological Engineering and into her current Ph.D. program at Purdue University also in ABE. As part of the Rising Scholars’ program, she has helped plan and organize the student recruitment events, align students with summer research experiences and faculty mentors, and conduct student interviews for program analysis and evaluation. Ms. Baldwin has actively contributed to the collection and analysis of data for the Rising Scholars program, as well as the dissemination of information about the progress of the program.Sarah LaRose, Purdue University at West Lafayette
process for developing a FMEA. Theprocess begins with gathering experiential data and requirements. If the design is new then thenext step is to postulate failure modes. If there is existing data, then that data is accessed.Regardless of which data is used, the next step is to complete a failure latency analysis, or a faulttree. Finally, the FMEA is documented and reported.The process for developing a FMEA in ARP5580 begins with identifying when the FMEA is tobe developed and what type of FMEA is to be completed. During system design there aremultiple types of FMEA to be completed at different points of the development schedule. Duringthe conceptual design the effort is focused on planning. Moving into the preliminary stage afunctional analysis
practicing engineers become licensed but this percentage increases to 50 percent for civilengineers [4]. There are many advantages to becoming a PE. For example, engineering plans anddrawings can only be signed and sealed by a PE no matter if the engineer works in the public orprivate sector [5]. Those engineers who do earn PE licenses have more professionalopportunities, responsibilities, and prestige [6]. According to a 2019 article based on a survey bythe American Society of Civil Engineers, PEs earn higher salaries than non-PEs [7].The Accreditation Board for Engineering and Technology, Inc. (ABET), a non-governmentalorganization, accredits post-secondary education programs in engineering. ABET accreditation isverification that a collegiate
technical development and an afternoon session focused onprofessional development. Lesson plans were scheduled five days a week during a regular workweek. Fig. 1. Major technical and professional topics introduced in the five-week program.In the technical session, important topics such as Python, microcontroller and circuit basics,machine learning, 3D modeling, PCB design, and app development were covered. These topicswere selected as they lend themselves to preparation for certain advanced coursework in thedepartment curriculum. In the professional session, networking, resume building, industry andfaculty interaction, campus resources, mock interviews were introduced in the form of guestspeakers or workshops. In the last week of the program
it atry.I felt a sense of culture shock becoming a new assistant professor at an R1 university as a 26-year old. I was burnt out from my PhD, having defended and finalized by dissertation in Augustimmediately before coming to Ux. The department didn’t seem very welcoming. From thefaculty search that hired me, two people were hired - myself and a Hispanic male. Thedepartment got an extra faculty line since perhaps we both qualified as ‘diversity hires.’ Somefaculty in the department seemed to resent that. And the resources planned for the position (labspace, funds) were simply cut in half. I felt somewhat alone, and a message of ‘sink or swim’was conveyed by the department chair and many faculty. I certainly didn’t feel that I belonged. Ifelt
done in the near future we hope to bringfurther clarity to our observations and within the limits of our study design we intend to generatepractical insights on the improvement of teaching and learning in these courses. We also plan tocarry on this study in Fall 2021 and collect further data from students who have taken ourcourses and their assessments for the first time in Fall 2020.References[1] Brown, P. C., McDaniel, M. A., Roediger, H. L. Make It Stick. United Kingdom: HarvardUniversity Press, 2014.[2] Conway, M. A., Cohen, G., & Stanhope, N. (1991). On the very long-term retention ofknowledge acquired through formal education: Twelve years of cognitive psychology. Journal ofExperimental Psychology: General, 120(4), 395–409.https
explore their development within theprogram. The broader impacts of the project include a planned workshop with findings from theproject for future research and collaborations. Selected narratives from the 19 students will bepresented to engineering programs to highlight ways in which academia can supportunderrepresented students centered around an asset-based approach.AcknowledgmentFunding was provided by National Science Foundation grant EEC-1827377.References[1] C. C. Samuelson and E. Litzler, “Community cultural wealth: An assets-based approach to persistence of engineering students of color,” J. Eng. Educ., vol. 105, no. 1, pp. 93–117, 2016, doi: 10.1002/jee.20110.[2] J. M. Smith and J. C. Lucena, “Invisible innovators: how low-income
thestudents. The students’ responses revealed that they were lacking the key insights bornegenerally out of experience or deep mechanical understanding.The results of this initial study reframed the focus of the work to include the development ofthese engineering insights in future PBL problems. Judiciously planned and discussed homeworkor in-class assignments could also provide guidance to move the students’ phase 1 models closerto the “expert” model found in the JN. The wide range of approaches taken by the students in thePhase 1 was revealing in that the original problem statement was potentially too broad in topicfor students at this level. Including specific instructions for the students to use their engineeringknowledge to evaluate the scenario
employ these new tools in classrooms.Additionally, through the virtual tools, more “voices” appear to have been heard. Consistentwith studies of leadership in virtual teams, power and leadership are not bound by traditionalroles and often shift to focus on the purpose of meeting [14]. With everyone occupying the same“Zoom square”, collaboration has greater potential, especially in the often-hierarchical world ofrank, title and department found in academics.ChallengesUnexpected and unprecedented change occurred with COVID-19 and the movement to ERT.With a growth mindset, new learning occurred. Yet, this was not without challenges. Newlearning took time and energy. Fatigue was experienced, as were moments of panic when thebest-laid plans did not
/ in-class assignment and add a “gallery walk”allowing the students to see those solutions created by other teams.Future Work and Next StepsThis research is the preliminary stages with activities being piloted in the Fall 2020 semester.Next the author will be applying for an IRB, so the author can conduct preliminary researchduring the Fall 2021 term including gather student survey information, grades, course evaluationcomments, etc. The author plans to continue this research each fall for the next 5 years. Usingthis information gather, the authors will attempt to gain insight into the helpfulness of theseactivities grade-wise instead of only anecdotal.Available ResourcesAn information repository (i.e., “card”) is available on the Engineering
everything works as planned or as intended, so the sooner this can be called to the instructor’s attention, the sooner improvements can be implemented. This also communicates to the students that the instructor cares about their learning experience.AcknowledgementsWe gratefully acknowledge the financial support from the University of Kansas Center forTeaching Excellence for CL as a Teaching Fellow and from the School of Engineering for MMas a Postdoctoral Teaching Fellow.References[1] M. Prince, R. Felder, and R. Brent, "Active Student Engagement in Online STEM Classes: Approaches and Recommendations," Advances in Engineering Education, vol. 8, 2020.[2] L. K. Michaelsen, A. B. Knight, and L. D. Fink
East Hartford, CT as well as Crash Safety located in East Hampton, CT. Both of these experiences has helped him strengthen his knowledge in data analytics and optimization. One of Michael’s biggest interests in Ergonomics and Human Factors which he plans to purse later in his career. American c Society for Engineering Education, 2021 Analysis of STEM Students’ Ability to Respond Algebra, Derivative, and Limit Questions for Graphing a Function 1 Emre Tokgöz, 1Samantha Scarpinella, 1Michael Giannone 1 Emre.Tokgoz@qu.edu, 1 Samantha.Scarpinella@qu.edu
two, ½-credit ME course offerings that launched in the fall2020 semester. These brand new courses complement students’ rigorous technical preparationwith topics relevant to personal and professional development such as job searching, personalfinance, career planning, and basic business skills. In each of the two classes, students choosetheir own microcredential digital badge from the five offered allowing some customization of thecourses to suit their own interests. All ME students are required to take both classes ensuring thatthe badge sessions are well attended. TABLE 3: Badges offered during Phase III (Spring 2021) PHASE III (Spring 2021) Topic
impact these peer evaluations. Peer evaluations are often employed ininstances of group work, particularly in the undergraduate setting. These peer evaluations canpresent important information regarding team dynamic and distribution of workload. However,this method of assessment is also susceptible to both explicit and implicit biases, specifically inregard to race, gender, and self-bias. After identifying possible biases in our peer evaluationprocedure, the researchers plan to examine methods to mitigate these biases. For each project,students submitted peer evaluations of themselves and each of their team members. The peerevaluations required the students to split 100 points amongst all team members includingthemselves with an optional written
their educational success. Quantitative methods are used in this study to assess students’ self-efficacy; a baseline ispresented here with plans to measure changes over time during students’ participation asCoMPASS Scholars. We administered a baseline survey to incoming CoMPASS Scholars usingthe Longitudinal Assessment of Engineering Self-Efficacy (LAESE). The LAESE is a validatedinstrument developed by the Assessing Women in Engineering project with NSF support (HRD0120642, HRD 0607081). This instrument has been validated to measure the self-efficacy ofundergraduate students studying engineering, their feelings of inclusion, and outcomesexpectations [4] - [7]. In addition, a satisfaction tracker was used to solicit student feedback
students’ feedback and future work, it is noteworthy that we plan to expand theSTAND’s use in the sensor courses (and beyond where applicable). This further developmentand use expansion will take the latest student feedback and the lecturer’s personal impressioninto account, so a more in-depth analysis is to come. For this BYOE paper, we will share someselected student comments. Most of the students' comments refer to both using the STAND andperforming the same laboratory in a hands-on setting: “I believe I learned a lot more in the hands-on mode than I did in the remote setup regardingthermistors and circuit building. However, I learned a lot about Simulink and how it works in theremote lab. Switching between the two was only difficult due to
brings together computing academic programs that are offered through theCollege of Engineering and programs in the Jesup Scott Honors College, an inclusive and uniquecollege designed around high-impact educational practicesThe paper will address first year project activities including the COF-IMPRESS-C recruitment,and advertisement plan to first-year and community college transfer students. The paper will alsoaddress the student eligibility and selection process, the recruitment of the first cohort scholars,and finally the orientation program.I. Research Background:Research shows that the impact of financial aid on retention is more significant in STEM programsthan in other degrees because STEM degrees often take longer to complete [1
presented itself: the virtualclass environment. All activities were forced to shift to a virtual environment due to the classbecoming 100% online in AU 2020. Activities were converted and delivered via custom adaptionof js-parsons, an online Parsons Problem JavaScript library [14]. This still allowed thecollaboration that made the previous iteration unique through the use of Zoom breakout roomsand screen sharing. This paper discusses the development of the online library as well asdiscussing student feedback for this online version of the activity and compare that with thefeedback that was obtained for the in-person activity in previous years. Additionally, we willhighlight the plans for further research into the learning gains and the impact of