-recordeddemonstration of the official manufacturing plan during their weekly live discussion sections.Additionally, TAs engaged students by asking them critical thinking questions to ensure theyunderstood the manufacturing processes (e.g., why must we perform step A before step B?) andcan apply what they have learned to other theoretical scenarios. Students also had theopportunity to discuss other potential applications of the machines during these live sections.After completing the modules, students had to complete an open-note, timed exam as has beendone in previous years. The questions are representative of the course objectives and materiallearned throughout the quarter. This exit exam was slightly modified fromthe year before to account for questions that
future online lab courseofferings or supplemental activities for in-person lab course offerings.AcknowledgmentsThis work was supported by the Department of Bioengineering at the University of IllinoisUrbana-Champaign. The authors thank the students for their feedback.References[1] W. C. Newstetter, E. Behravesh, N. J. Nersessian, and B. B. Fasse, "Design principles for problem-driven learning laboratories in biomedical engineering education," Annals of Biomedical Engineering, vol. 38, pp. 3257-3267, 2010.[2] J. R. Brinson, "Learning outcome achievement in non-traditional (virtual and remote) versus traditional (hands-on) laboratories: A review of the empirical research," Computers & Education, vol. 87, pp. 218-237
, “Situated Learning: Legitimate Peripheral Participation”. New York: Cambridge U. Press,1991, (ISBN# 0-521-42374-0)[3] M. F. Young, S. Slota, A. B. Cutter, G. Jalette, G. Mullin, B. Lai, ... M. Yukhymenko, “Our princess is inanother castle: A review of trends in serious gaming for education”. Review of Educational Research, vol. 82(1), pp.61-89, 2012.[4] M. F. Young, L. Bassett, D. Burkey, and S. Streiner, “Let’s Play! Gamifying Engineering Ethics EducationThrough the Development of Competitive and Collaborative Activities”, submitted to the ASEE Annual Conferenceand Exposition, February 2021[5] S. Streiner, D. Burkey, M. F. Young, R. Cimino, and J. Pascal, “Engineering Ethics Through High ImpactCollaborative/Competitive Scenarios (E-ETHICCS
-College- Students-Need-Now/248882[2] B. Bayne. “Adjusted Syllabus.” https://docs.google.com/document/d/1- 6d_W8rdzE9mW2DvPi-dPvRxo4sekKlz3VqEpnu4Dwg/edit (retrieved March 30, 2020).[3] L. D. Feisel and A. J. Rosa, “The Role of the Laboratory in Undergraduate Engineering Education,” Journal of Engineering Education, vol. 94, no. 1, pp. 121-130, 2005.[4] L. L. Wu et al., “Rapidly Converting a Project-Based Engineering Experience for Remote Learning: Successes and Limitations of Using Experimental Kits and a Multiplayer Online Game,” Advances in Engineering Education, vol. 8, no. 4, 2020.[5] S. L. Leung, B. A. Hargrove, E. R. Marsh, A. R. Gregg, and K. A. Thole, “Prompting by COVID-19 to Rethink the
covered. Note that some of theselectures were longer than others. Certain lectures spanned two course days, while others had toshare a day with an exercise or student challenge. 1. Concept of the frequency domain, introduction to Fourier Series, Fast Fourier Transform (FFT), and power spectral density, spectral analysis of signals found in the environment around them. Students receive actual FM radio, LTE, GSM, ADS-B signals; any signals they can find using their provided SDRs and antennas. 2. Nyquist sampling, concept of “not losing information” when sampling a band-limited signal, and the concept of band-limited. They will observe the type of artifacts that occur with inadequate sampling, such as aliasing. 3. IQ
a hierarchy is defined bypropositions that include the concept map topic (concepts stemming from the central topic) [18].HH is the number of concepts in the longest path down a hierarchy. In the example in Figure 1,the HH is three because Hierarchy A has three concepts which is more that the number ofconcepts within Hierarchy B or Hierarchy C. The NCL represents the knowledge connectednesssub-score where cross-links are links between concepts in different hierarchies [18]. In Figure 1,the NCL is one (the cross-link between Hierarchy A and Hierarchy B). The total concept mapscore is the sum of the NC, five times the HH, and ten times the NCL. The total concept mapscore for the example is 31.We began the scoring process of the collected
walker (they are distributed randomly in the y-direction to make it easier to see themall). The Displacement Distribution graph shows the distribution of displacements in the xdimension and shows the characteristic binomial distribution over time. The NetLogo code usedto run this model is shown in the bottom right of Figure 2. Each time step, agents are asked toface either to the left or the right and then to move forward by 0.5 units. Students predict whatthe distribution will look like and then run the model to check their predictions. a) b) c) d) Figure 2: A NetLogo model of random-walk in
classes listed in Course Book is 270 per semester(average for Fall 2020 and Spring of 2021) in the school of engineering and computer science.Analysis of this figure is presented below, based on the faculty’s response to Questions 3 of thesurvey. Fig. 1, Faculty Selection for the Fall of 2020 and Spring of 2021 in the School of Engineering and Computer Science Table 2, Survey Questions 1. A statement by the Institution Review Board (IRB) is provided and faculty are asked to exit the survey or click "I Agree" to begin. 2. Which teaching modality did you choose? a. Traditional b. Hybrid c. Flexible d. Remote/Virtual e. Online 3. Why
Education (ASEE). “Innovation with Impact: Creating a Culture for Scholarly and Systematic Innovation in Engineering Education.” [Online]. Available: https://www.asee.org/member-resources/reports/Innovation-with-Impact 8[3] Accreditation Board for Engineering & Technology (ABET). “2021-2022 Criteria for Accrediting Engineering Programs.” https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting- engineering-programs-2021-2022/ (accessed March 28, 2021)[4] B. Newberry and J. Farison. “The Current Status and Uses of The General (Undesignated) Engineering Program with A Case Study,” in 2003 ASEE Annual Conference & Exposition, Nashville
comparing success rates, defined as an A, B, or C in Engineering ProblemSolving, of this student cohort for the fall 2020 semester versus the other singular implementationsfrom previous fall semesters. This paper will show that this learning course is even more effectivein its required implementation (lab learning) than the singular components for all students in the Pre-Calculus entry level. Introduction and Background Proceedings of the 2021 ASEE Gulf-Southwest Annual Conference Baylor University, Waco, TX Copyright 2021, American Society for Engineering Education 2To address
learn to complete the challenges. For instance, when a student needs to design a pedometer, we first go through a tutorial covering how to interface with the analog sensor to read the raw data. The tutorials guide them through the process that they then need to utilize to accomplish the task. 4. Challenges a. The challenges are the most critically assessed portions of the labs. Once students complete the previous three sections, we make sure that they have all the prerequisite knowledge and tools to accomplish the challenge. b. It is in the challenges where we assess critical thinking, creativity, and the effective application of knowledge
usingunregulatedmaterialsintherealclinicalworldwouldbeplaced.Intellectualpropertyandowners’copyrightlegalissueshavealsobeenareasofgrowingconcernforthemedical3Dprintingcommunity.Itisurgentandmandatorytoclarifyalltheseconflictiveareasandrapidlyadaptregulationstoemergentscenariosastheonelivedduringthispandemic.ThefollowingreferencescontaininformationabouttheapprovalprocessandconsiderationsforsomeoneventuringintomanufacturingPPEdevices: a. FDAprocessfor3Dprintingtechnology[54] b. QualitySystemRegulation[55] c. 3Rsof3Dprinting:RoleofFDA[56] d. FDA Guidance Document [57]Notably, the FDA also highlights a concern regarding the effectiveness of 3D printedcomponentstophysicallyblockdropletsandotherbodilyfluidsthatmaycontainavirus.Specifically,theFDAstatesthefollowing:“PPEincludesprotectiveclothing,gowns,gloves,faceshields,goggles,facemasks,andrespiratorsorotherequipmentdesignedtoprotectthewearerfrominjuryorthespreadofinfectionorillness.Whileitispossibletouse3DprintingtomakecertainPPE,therearetechnicalchallengesthathavetobeovercometobeeffective 16enough.Forexample,3D
PhysicsTeacher, 30, 141–158 https://aapt.scitation.org/doi/pdf/10.1119/1.2343497Lindell, R. S., Pea, E., & Foster T.M. (2007). Are They All Created Equal? A Comparison ofDifferent Concept Inventory Development Methodologies, American Institute of PhysicsConference Proceedings, 883(14), 14-17. https://doi.org/10.1063/1.2508680Loch, B., & Lamborn, J. (2016). How to make mathematics relevant to first-year engineeringstudents: Perceptions of students on student-produced resources. International Journal ofMathematical Education in Science and Technology, 47(1), 29–44.https://doi.org/10.1080/0020739X.2015.1044043Magana, A. J., Falk, M. L., Vieira, C., & Reese, M. J. (2016). A case study of undergraduateengineering students' computational literacy
patternrecognition are introduced in Pattern Recognition Module, as seen in Figure 2a. Abstraction is theprocess of filtering out, or ignoring, the characteristics of patterns that are not needed in order toconcentrate on those that are. Abstraction is also introduced as a module, as seen in Figure (a) Introduction page (b) Decomposition page Figure 12b. (a) Pattern Recognition page (b) Abstraction page Figure 2In CT, we refer to a step-by-step set of instructions as algorithms. An algorithm is a step-by-steplist of instructions that, if followed exactly, will solve the problem under
within the outer greenhouse skeleton. The current design is too expensive and is damaged over during repeat cycling. The Year 4 team is designing a new retractable insulation system that reduces material costs and is more robust.Contributions to researchME 170 students are contributing to the Precourt Institute’s focus on reducing food loss andimproving farmer incomes in India. Up to 75% of global food wastage (~1 B tons per year)occurs before food reaches a consumer [15] , disproportionately impacting farmers andvulnerable communities, particularly in developing countries, resulting in ~$700 B in lostincome and exacerbating elevated levels of poverty and malnutrition [15]. Improving post-harvest
each switch to theirrespective next room (we numbered the rooms) for a three-minute conversation with the nextmentor. After the students were with their second mentor, we broadcasted the next conversationprompt. We did a total of five rounds, so that by the end of the session, each student had spokento five mentors. We used the following conversation prompts for each round: 1) Which would you choose? And, why? ● Option A: one year with Oprah ● Option B: one year with Bill Gates ● Option C: $1,000,000 2) Exchange your career hopes. 3) Share about an academic or professional experience you are proud of. 4) In what positive way(s) have you grown and changed during the shelter-at-home experience? (The kickoff
-structure problems,” Artificial Intelligence, vol. 4, 145-180,1973[5] B. Aryal, M. D. Nichols and A. Huq, “A qualitative case study exploring student comfortwith ambiguity in physics, math, and literature,” The Online Journal of New Horizons inEducation – vol. 8, no. 1, Jan 2018[6] R. Barwell, “Ambiguity in the Mathematics Classroom,” Language and Education, vol. 19,no. 2, 2005, pp. 118-126[7] W. Byers, “How Mathematicians Think Using Ambiguity, Contradiction, and Paradox toCreate Mathematics”, Princeton, ISBN 9781400833955[8] E. M. Gray and D. O. Tall, “Duality, Ambiguity and Flexibility: A Proceptual View ofSimple Arithmetic,” The Journal for Research in Mathematics Education, vol. 26, no. 2, 1994,pp. 115–141[9] A. Kothiyal and S. Murthy, “MEttLE
2021 ASEE Midwest Section Conference Designing a Graphical User Interface for the Power Module Optimization Tool PowerSynth Joshua Mitchenera, Imam Al Razib, Yarui Pengb a Computer Science, University of California, Irvine b Computer Science and Computer Engineering, University of Arkansas AbstractWorking under the NSF-sponsored POETS REU program, students are given the opportunity towork at the University of Arkansas on advanced research projects such as the development of asoftware tool called PowerSynth, which can optimize power electronic module layout. This
traits shape our first nature and are rooted in five dimensionsof personality” (p. 20). The Big Five framework of personality traits has emerged as a robust andparsimonious model for understanding the relationship between personality and variousacademic behaviors [7]. The five dimensions are (a) Open vs. closed to experience – how open aperson is to new ideas, adventures and experiences; (b) Conscientiousness vs. casual – how goal-directed, persistent, and organized a person is; (c) Extroverted vs. introverted: how much aperson is energized by the outside world; (d) Agreeableness vs. disagreeableness – how much aperson puts others’ interests and needs ahead of their own; and (e) Neurotic vs. stable – howsensitive a person is to stress and
study halls. For leisure engagements, there will be a wide range ofactivities like hiking, climbing, volleyball, biking, cooking, baking, and crafting, etc. With thesecontinuously expanding ideas, the SEL team strives to bring students from different majorstogether to create a harmonious educational and social space. In addition, the SEL team plans tocontinue with many of the efforts they put into place this year, including Discord, Instagram, andfocus groups. With the evident record of the positive trend that the SEL team has been setting,they are creating a path for great impact within the department.References[1] J. Crawford, K. Butler-Henderson, J. Rudolph, B. Malkawi, M. Glowatz, R. Burton, P. Magni and S. Lam, "COVID-19: 20 countries
increased their ability to retain mastery of spatialreasoning as a result of the interventions. It should be noted that the sample size for the pre-testwas 112 students while the sample size for the post-test was 84 students, a reflection of a 24%DWF rate for the course. Relative to other disciplines, this percentage appears high, but it is notincompatible with broader trends for large-enrollment STEM courses. It is disappointing that thenew design, at least in its first iteration, did not contribute to higher rates of success for thesestudents at the bottom of the scale, but there is reason to remain hopeful. Further analysis ofgrade distributions of the course revealed that 53% of students in the course received either an Aor B as their final
question Figure 9. Auto Transmission Order vs Age Category results Figure 10. Auto Transmission Order vs Eng/Non-Eng vs Gender resultsQuestion 4 Highway Lanes On the 4-lane divided highway pictured here, which is the outside lane? A. Lane A B. Lane B Figure 11. Highway Lanes design question Figure 12. Outside Highway Lane Selection resultsQuestion 5 Locked Box To open this locked box, how would you insert its key? A. Teeth up
://digitalcommons.uncfsu.edu/jri/vol2/iss1/5[13] S. G. Brainard and L. Carlin, "A six-year longitudinal study of undergraduate women in engineering and science," Journal of Engineering Education, vol. 87, no. 4, pp. 369-375, 1998.[14] K. Beddoes and M. Borrego, "Feminist theory in three engineering education journals: 1995-2008," Journal of Engineering Education, vol. 100, no. 2, pp. 281-303, 2011.[15] M. Lloyd, Judith Butler: From norms to politics. Malden, MA: Polity, 2007.[16] S. Harding, "Feminist standpoint epistemology," in The gender and science reader, M. Lederman and I. Bartsch Eds. New York: Routledge, 2001, pp. 145-154.[17] B. Brand and M. Kasarda, "The influence of social interactions on female students retention in
. With this rising awareness, UTEP determined twenty-five years ago to implement a first-year core class experience as part of The Model Institutions for Excellence (MIE) program. TheUTEP implemented MIE to increase underrepresented minorities in science, technology,engineering, and mathematics (STEM). Funded by the National Science Foundation, this 11-yearprogram challenged UTEP to: (a) Improve the first-year experience of its entering freshmen; (b)Develop good study habits, (c) Enhance instruction across the STEM curricula; (d) Promotecareer options; and (e) Encourage advancing to graduate school studies. According to MIEDirector Dr. Benjamin Flores," the MIE program's success was based on changing the Universityculture by promoting early
increase inparticipation between 2009 and 2020, where maximum participation of 20.41% was obtained.Although results are slightly higher than the average participation of women in OECD countries[2], there is evidence of a gender gap in STEM disciplines' first-year preferences.Figure 2 shows two graphs; the one on the left (a) shows a decreasing trend in women'spreferences towards STEM disciplines. The graph on the right (b) side shows how this behaviorchanges towards a positive trend (from 2014 onwards), gradually increasing women's preferencesfor these disciplines. Figure 2. Decrease (a) and increase (b) in the distribution of preferences for female first- year students in STEM, Source: Own elaboration based on SIES historical enrolment from
Paper ID #33791Professional Development of Secondary School STEM Educators inSub-Saharan Africa: A Systematized Literature ReviewMr. Moses Olayemi, Purdue University, West Lafayette Moses Olayemi is a doctoral student in the School of Engineering Education at Purdue University. He is passionate about the professional development of STEM educators as change agents in the educational landscape of Sub-Saharan Africa. He aspired to leverage research-based empirical evidence to influence education policies.Mr. Collins N. Vaye, Florida International University Collins N. Vaye is a first-generation graduate student and a
Paper ID #34545Design the Future Activities (DFA): A Pedagogical Content KnowledgeFramework in Engineering Design EducationHadi Ali, Arizona State University, Polytechnic campus Hadi studies the influence of the future of work on curricular innovation, with a focus on exploring the relationships between and among adaptability, risk taking and value making. In an effort to characterize engineering education as an (eco)system for creating value, Hadi’s approach integrates analytical methods of data science to address changes in systems and society. More broadly, Hadi is interested in examining how engineering innovations
Engineering Programs (Rep.). Retrieved https://www.abet.org/wp- content/uploads/2018/11/E001-19-20-EAC-Criteria-11-24-18.pdfBates, S. (2016). Flint water crisis: For young engineers, a lesson on the importance of listening. National Science Foundation. Retrieved https://www.nsf.gov/discoveries/disc_summ.jsp?cntn_id=138060Battle, C. (2020). Reflections in Trust. YouTube. Retrieved: https://www.youtube.com/watch?v=hgUrxZen5WABielefeldt, A. R., & Canney, N. E. (2019). Working engineers’ satisfaction with helping people and society through their jobs. European Journal of Engineering Education, 44(6), 939- 953.Bloom, P. (2017). Against empathy: The case for rational compassion. Random House.Boklage, A., Coley, B
the basic concepts taught in thecore STEM courses is a strong contributing factor to student attrition. Strategies to improvelearning experiences in STEM courses by all students at colleges and universities are thereforeneeded so that they persist in the STEM career pipeline. A group of STEM faculty members at aHistorically Black University is committed to this important need through the far-reaching use ofVirtual Reality (VR) in its STEM courses and investigating its impact on learning outcomes,engagement and persistence in STEM.The two big questions that continue to be examined by STEM education experts are: (a) Why dostudents change their majors from a STEM to a non-STEM major? and, (b) Why do studentsstruggle with STEM concepts leading
, Gamifying education: what is known, what is believed and what remains uncertain: a critical review, vol. 14, no. 1. International Journal of Educational Technology in Higher Education, 2017.[7] L. Z. Pedro, A. M. Z. Lopes, B. G. Prates, J. Vassileva, and S. Isotani, “Does gamification work for boys and girls? An exploratory study with a virtual learning environment,” in Proceedings of the ACM Symposium on Applied Computing, 2015, vol. 13-17-April-2015, pp. 214–219.[8] C. Han-Huei Tsay, A. Kofinas, and J. Luo, “Enhancing student learning experience with technology-mediated gamification: An empirical study,” 2018.[9] M. Denden, A. Tlili, F. Essalmi, and M. Jemni, “An investigation of the factors affecting