number of videos) watched all posted videos at least once.Additionally, the analytics data included a larger data set, that is from all 273 students enrolled inthe class, while the survey data was collected from a slightly smaller data set, which included thenumber of students who participated in the survey. A Frequency of Video Views from Number of Video Views from B Survey Response (n = 255) Panopto Analytics (n = 273
the manipulated variable in this scenario? A) Temperature of the oven B) The inputted temperature (350oF) C) The rate of heat flow into the oven D) Whether the heating element is on or off (ANSWER: C. The manipulated variable is the variable that is changed in order to reach the given setpoint. In this case, heat flux is adjusted to change the oven temperature. The oven temperature is a measurement, the inputted temperature is the setpoint, and the status of the heating element (on/off) is an action made by the controller.)Other questions focused on much later concepts, such as feedforward: Which is not a system that would benefit from feedforward control (with no feedback control
- Polymorphism’ would direct them to the library and answer choice ‘B -Interface’ to the student study lounge.Difficulties, Strengths, and WeaknessesApproximately half of the students make very few mistakes during the scavenger hunt. Moststudents find all six clues in about 30 minutes. The “wrong logic” signs at the incorrect locationsallow for graceful failure that the instructor does not have to know about – so it is difficult tojudge precisely. A few students struggle, and many realize that reading code without thecompiler to run the code is challenging. Additionally, the students are able to identify courseconcepts they do not entirely understand and can ask their peers to help explain.The students enjoy getting out of the traditional classroom
with a B.S. in Biomedical Engineering from the University of Maine. In addition to research, Ethan teaches a course on instructional methods for secondary science classrooms for pre-service teachers, drawing upon his experience teaching science in traditional and non-traditional environments.Asli Sezen-Barrie (Associate Professor)Karissa B Tilbury © American Society for Engineering Education, 2022 Powered by www.slayte.comResearch on Engineering Education at K-12 Settings acrossCommunities of Practice: A Systematic Literature Review (2009-2018)Introduction For more than two decades, there has been an effort to integrate engineering in K
impacts of material selection, materialsourcing, and the supply chain. Their response reflected a particular concern with thesustainability of the device, related to its longevity, maintenance, and what happens when it isretired. Finally, Participant A questioned the team’s process for developing the example solution,wondering if the team was purely fixated on satisfying the technical requirements of the projector if they allowed themselves to focus on the trade-offs within the expansive context of theproblem and solution spaces.Example 2: Participant B’s Response to Spinal Decompression Device ScenarioThe second example comes from Participant B, another graduate student experienced in sociallyengaged engineering skills, in response to a project
agreeing with a specific ASCE COE Ethical Responsibility or not listed.In addition, the NCEES Model Rules were reviewed, categorized, and compared to the ASCECOE Ethical Responsibilities. Some states use the NCEES Model Rules as a guideline, but nostate has adopted the Model Rules verbatim. The ethical and professional conduct provisions inthe NCEES Model Rules were compared to each state’s licensure requirements.Table 1 – An abbreviated list of the 36 ethical responsibilities in the ASCE Code of Ethics Stakeholders Ethical Responsibilities Society (1) a. Protect the health, safety, and welfare of the public b. Enhance the quality of life for humanity c. Express professional opinions
stewardship to global learning experiences at many universitiesworldwide. Broadly, these should cover four significant aspects: (a) collaborations with studentsin other countries with other backgrounds and cultures, (b) engagement through online interactionsfor assignment completion or lectures, (c) development and assessment of students’ globalperspectives and competencies, and a (d) reflective aspect of learning and education.This study reviews previous COIL implementations in the literature, emphasizing chemicalengineering and other STEM courses. To our knowledge, COIL implementations are widespreadin social sciences; however, few reports highlight these practices in engineering courses. Wereview perspectives, methodologies, challenges, and
knowledge gained during the reverse engineering process. • CLO 5: Re-design textile products to meet design constraints and minimize tradeoffsFigure 1: Bloom’s Taxonomy Learning Objective Analysis. a Bloom’s Taxonomy learning objective spread forbenchmarking reverse engineering courses. Verb abbreviations are Knowledge (Know.), Comprehension (Comp.),Application (App.), Analysis (An.), Synthesis (Synth.), and Evaluation (Eval.), b Bloom’s Taxonomy learningobjective spread for “Design Analysis of Smart Textile Products” c Bloom’s Taxonomy level over the course the 16-week “Design Analysis for Smart Products” course.These course learning objectives as well as the weekly outcomes result in the Bloom’sTaxonomy spread shown in Figure 1b. As
Engineering Program,” SSRN Electron. J., 2021, doi: 10.2139/ssrn.3969247.[6] H. Coates and L. Ransom, “Dropout DNA, and the genetics of effective support,” Australas. Surv. Stud. Engagem. AUSSE, Jun. 2011, [Online]. Available: https://research.acer.edu.au/ausse/1[7] V. Tinto, “Defining dropout: A matter of perspective,” New Dir. Institutional Res., vol. 1982, no. 36, pp. 3–15, Dec. 1982, doi: 10.1002/ir.37019823603.[8] E. Fincham, B. Rózemberczki, V. Kovanović, S. Joksimović, J. Jovanović, and D. Gašević, “Persistence and Performance in Co-Enrollment Network Embeddings: An Empirical Validation of Tinto’s Student Integration Model,” IEEE Trans. Learn. Technol., vol. 14, no. 1, pp. 106–121, 2021.[9] E. T. Pascarella and D. W
Nk ,CS k ,FDS IN-i (17.A) k kso, after rearrangement we have for each stream of fluid N H k k ,CS k ,FDS T0 Sk ,FDS IN i Nk ,CS k ,FDS IN i 0 k (17.B)Subtract this identity equal to zero from the right-hand side of the exergy equation in the streamexergy term. Again noting the color coding to give
impact of the STEM Pride at UM initiative, we created and distributed a survey at twotime points: the launch of STEM Pride at UM (Fall 2021) and one semester later (Winter 2022).The overall response to the initiative was positive, where participants responded well to our efforts.While there were no statistically significant differences between timepoints when considering allsurvey respondents, we found differences based on sub-populations, including: (A) followers andnon-followers, (B) trans- and gender- non-conforming and cis-gender, (C) people of color andnon-people of color, and (D) graduate and undergraduate students. These results highlight thespecific needs of LGBTQIA+ individuals in STEM at the University of Michigan, which we planto
final grade for this exercise. For the peer review exercise, the students received instructionsand a score sheet, and each student was instructed to provide at least three ways in which thesolution can be improved (see Appendix 2 for details).Creativity in HVAC Industry (Assignment #10)The students were asked to draft a short article covering the history of HVAC, including theenergy and societal impact of each innovation. They were instructed to focus on: a) Past: thehistory of HVAC; innovations that changed HVAC; b) Present: HVAC today; c) Future: HVACtrends; innovations that will change HVAC forever. In addition, the students were instructed towork in groups of three, and to adopt a jigsaw model for group work strategy, namely, to splitthe
survey. While a total of 60 students participated in the program, only 36students completed the post-camp survey and only 24 completed the pre-camp survey. In future,we plan to make surveys mandatory as part of program participation. Figure 4: Age range of Students; N=36Figure 5: Demographic information of Students; N=36 (a) Gender, (b) School Grade, (c) Ethnicity As the Fig. 4 shows, a majority of students were young teens. These students, unlike the olderstudents, may not have had much exposure to STEM in school and might also have lacked anysignificant exposure to the four engineering topics. Of all the students who took the pre-campsurvey (N=24), 100% of them said strongly agree (66.7%) or somewhat agree (33.3
Microsoft Surface Pro tablet in Figure 1. LabMate in the classroom. (A) LabMate in use with (a) conjunction with a storage basket, (b) tablet, and (c) camera. (B) Streaming both the tablet GoPro HERO 8. and the GoPro camera. (C) Remote student view of experiment (large Instructors were picture) and lab partner and instructors (small picture). given printed instructions toguide setup and use. Briefly, the GoPro was connected to the tablet with a USB-C to USB-Aconnection. The Zoom share screen function with the selection of “content from a secondcamera” was used to stream both
professionalconceptualizations,” Journal of Human Behavior in the Social Environment, vol. 8, no. 4, pp.75–91, Jul. 2004, doi: 10.1300/j137v08n04_05.[14] E. Gonzalez, “Foreword: understanding Latina/o resilience,” International Journal ofQualitative Studies in Education, vol. 33, no. 8, pp. 791–795, Jun. 2020, doi:10.1080/09518398.2020.1783016.[15] T. J. Yosso, “Whose culture has capital? A critical race theory discussion of communitycultural wealth,” Race Ethnicity and Education, vol. 8, no. 1, pp. 69–91, Mar. 2005, doi:10.1080/1361332052000341006.[16] B. Schneider, S. Martinez, and A. Owens, “Barriers to educational opportunities forHispanics in the United States” in Hispanics and the future of America, F. Mitchell & M. Tienda,Washington, DC USA: National
student participants of this program formaking it a success as well as the support of the University of Nebraska-Lincoln Office ofGraduate Studies.References [1] United States Census Bureau. (2019). Rural America: A Story Map. Retrieved from: https://mtgis-portal.geo.census.gov/arcgis/apps/MapSeries/index.html?appid= 49cd4bc9c8eb444ab51218c1d5001ef6 [2] Bradley, E.D., Bata, M., Fitz Gibbon, H.M., Ketcham, C.J., Nicholson, B.A., and Pollock, M. (2017). The structure of mentoring in undergraduate research: multi-mentor models. Scholarship and Practice of Undergraduate Research, 1(2): 35-42. [3] Cooper, K.M., Gin, L.E., Akeeh, B., Clark, C.E., Hunter, J.S., Roderick, T.B., Elliott, D.B., Gutierrez, L.A., Mello, R.M
and graded for completion only, not for correctness. The day that the homework was due, students were given solutions. The following class period, students completed an in-class quiz similar to the quizzes given for assessment Q.Table 1: Assessment modality, instructors, and number of students for each course offering.Offering 2014 2015 2016 2017 2018 2019 2020 2021Assessment H H H H Q Q QH QH# Students 39 54 41 50 39 41 70 63Instructor(s) A A&B A&B A&C A&C A A AFor all three
Paper ID #37159Converting a First-Year Engineering, Makerspace Courseinto COVID-Necessitated Fully-Online Synchronous Deliveryand Related Student PerceptionsFei Bi ChanNicholas Hawkins (Assistant Professor)James E. Lewis (Associate Professor) James E. Lewis, Ph.D. is an Assistant Professor in the Department of Engineering Fundamentals in the J. B. Speed School of Engineering at the University of Louisville. His research interests include parallel and distributed computer systems, cryptography, engineering education, undergraduate retention and technology (Tablet PCs) used in the classroom.Thomas Tretter
concurrently was convened with the specific task to propose a continuingeducation program for all faculty (see Appendix B for committee structure).Prior to analyzing the faculty perspectives, the curriculum committee began by reviewing anddiscussing the literature to gain a better understanding of best practices for applying DEIprofessional development that leads to lasting change. In addition, they invited speakers toattend their meetings who were scholars in this field or who have implemented school-wide DEIfaculty development requirements to gain practical insights about pursuing this endeavor. Thecommittee also considered frameworks for equitable decision making as well as inclusiveteaching. Once the faculty perspectives were gathered using
].AcknowledgementsThe Exploring Engineering camp was made possible through a supplemental STEM award underthe TRIO-Talent Search program through the US Department of Education. The award wasgranted to the Talent Search project at Western Carolina University (PR/Award Number:P044A160354 - 19A).References[1] T. Karabiyik, Y. Seah, A. J. Magana, X. Huang, S. H. Sung and C. Xie. Assessing theEngineering Identity in CAD Simulated Engineering Design Challenge. 2021 ASEE VirtualAnnual Conference Content Access, Virtual Conference, July, 2021.[2] R. S. Harris and C. B. Hodges. “STEM Education in Rural Schools: Implications ofUntapped Potential”. National Youth-At-Risk Journal, vol 3 no. 1, pp. 3-12, 2018.[3] K. J. Krapcho and C. Furse, “Lessons learned developing an
112/121was maintained, with all activities taking place synchronously. Most students attended lecturesessions over the year (typically >80%), while studio sessions, being mandatory, had full attendance. Table 3. Modular Structure for ENGR 112/121 ENGR 112 (SEPT – DEC) Module Duration Title Key Topics A 4 weeks Engineering Design I Study and Clarifying the Problem; Stakeholder Engagement; Decision Making; Testing and Prototyping B 4 weeks Sustainability I Dimensions of Sustainability; Impact on
educationalexperiences for BLV youth.AcknowledgementsThis material is based upon work supported by the U.S. National Science Foundation underGrant No. 1712887. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References[1] D. Lohman, “Spatial Ability and G,” presented at the Spearman Seminar, University of Plymouth, Jul. 1993.[2] T. Fincannon, A. W. Evans III, F. Jentsch, and J. Keebler, “Dimensions of spatial ability and their influence on performance with unmanned systems,” in Human Factors Issues in Combat Identification, 1st ed., D. H. Andrews, R. P. Herz, and M. B. Wolf, Eds. CRC Press, 2010.[3] A. Ramful, T
, project leads, Dr. Chandra Turpen (a co-author on this paper)and Dr. Logan Williams, made further adaptations to this grocery store prompt for the purposesof this study. Discussions between Dr. Turpen and Dr. Williams surfaced a shared commitmentto seeing human-centered design work pay greater attention to how power is structured insociety, to social inequities, and to issues of social justice. These commitments drove ourdecision to layer in: (a) the COVID-19 pandemic context (by cuing “social distancing” and“spreading”), (b) social inequalities into the prompt (by cuing “low-income community”), and(c) health considerations (by cuing “underlying health conditions”). We also wanted students tothink about how they would go about solving this
Paper ID #38044Where are the Gays? A Systematized Literature Review ofLesbian, Gay, Bisexual, Transgender, and Queer (LGBTQ+)STEM PractitionersHéctor Rodríguez-Simmonds Héctor is committed to fostering a culture of support and empowerment for LGBTQ+ students in STEM by using asset- based frameworks to investigate their experiences at the intersection of their identities.Kevin Jay Kaufman-Ortiz (Graduate Student) Kevin Jay Kaufman-Ortiz is from Hormigueros, Puerto Rico. He is an identical triplet, was raised with his brothers in the small town of Hormigueros. He picked up on interests in origami, music, engineering, and
Paper ID #37228Qualitative Engineering Education Researchers and ourRelationships with Data: Exploring our Epistemologies andValues as a CommunityNadia Kellam Dr. Nadia Kellam (she/they) is Associate Professor of Engineering within The Polytechnic School of the Ira A. Fulton Schools of Engineering at Arizona State University (ASU). She is a faculty in the Engineering Education Systems and Design (EESD) PhD program and currently advises three doctoral students. Dr. Kellam is an engineering education researcher and a mechanical engineer. She is also deputy editor of the Journal of Engineering Education and co-chair of
researchers have pro-posed persistence models specific to the student experience in engineering school, including Tinto(1987, [10]), Bean (2001, [11]), and Veenstra (2009, [12]). However, other more broadly applica-ble social cognitive theories and theories of motivation have been developed in recent years.One framework is for describing student choices and performance is SEVT [4, 5, 6]. As visible inFigure 1, student behavior is influenced by two groups of factors: (a) expectation of success, and(b) subjective task value. According to leading SEVT researchers Wigfield and Eccles (2000, [6]),expectancies and values are based on social, cognitive, and task-specific beliefs such as belief intheir own abilities, the difficulty of the task, and students
identify as: female or non-binary, underrepresented racial minority (nonwhite), and/or first general student? 2. Have you participated in Communities of Practice? If no… 3. (a) Why did you choose not to participate in the CoP? 4. (a) What change or additional motivation might have motivated you to choose to participate in the CoP? 5. (a) What kind of program offering (CoP or otherwise) would support your success as a student in EECS? 6. (a) What kind of program offering (CoP or otherwise) would increase your feeling of belonging in EECS? If yes… 3. (b) Why did you choose to participate in the CoP? 4. (b) Which CoP
Paper ID #37141How are Issues of Diversity, Equity, Inclusion, and JusticeReflected in Engineering Societies’ WrittenCommunications? A ReviewAmir Hedayati Mehdiabadi Amir Hedayati-Mehdiabadi is an assistant professor in the Organization, Information & Learning Sciences program at the University of New Mexico. Hedayati has received a Ph.D. degree in Human Resource Development from the University of Illinois at Urbana-Champaign. In broad terms, his research focuses on issues of ethics and inclusion in talent and professional development. His research explores how we can enhance ethical decision-making among
Engineering: Changing the Academic Climate,” Journal of Engineering Education, vol. 85, ED-6, pp. 45 – 51, 1996.[14] A.M. Porter, “Challenges Facing Women in Physics.” presented at the APS March Meeting 2020 [Online]. Available: https://indico.fnal.gov/event/45707/sessions/16412/ attachments/134988/167222/women_Challenge-in_physics.pdf.[15] B. J. Casad, J. E. Franks, C. E. Garasky, M. M. Kittleman, A. C. Roesler, D. Y. Hall and Z. W. Petzel, “Gender inequality in academia: Problems and solutions for women faculty in STEM”. Journal of neuroscience research, vol. 99, no 1, p. 13-23, 2021, doi: 10.1002/jnr.24631.[16] J. L., Malisch, et al, “Opinion: In the wake of COVID-19, academia needs new solutions to
canvas, and if needed, create section for remaining notes, then b) fill out remaining sections with what they might know even if that was not documented during the observation, and finally c) mark what needs to be done later in terms of data collection and discuss how they plan to do it. The documentation on the canvas started silently and slowly shifted to a discussion about the blocks that are filled out. It was intentional to not guide Group 1 in sharing the observations to know what changewould happen when the CC is afterwards used to structure the insights by the same group andwhat themes from the context observation might come out without having a guide for possiblethemes. The objective is to see how the CC