statistically significantly different.Table 2: Student performance data for each section. Average Fraction of students Average Course Section Course Grade a DF Rate b receiving an A Final Exam Score ME 4150 HyFlex (n = 36) 2.9 19% 30% 71% Non-HyFlex (n = 36) 2.9 17% 22% 67% CE 3211 HyFlex (n = 45) 2.8 4% 13% 67% Non-HyFlex (n = 42) 3.0 2% 13% 72% ETM 3300 HyFlex (n = 29
implements curricular modifications. She directs and man- ages the instructional delivery, student registration and scheduling logistics and collection of assessment data for all core courses in the undergraduate engineering and science programs. Sandra teaches courses in Entrepreneurial Thinking and Innovation at Baruch College, Lafayette College, and Stevens. Before coming to Stevens, Sandra worked as a consulting engineer with Stantec and T&M Associates special- izing in Urban Land Redevelopment and Municipal Engineering. Sandra holds a B.S. Degree in Civil & Environmental Engineering, an A. B. degree in Art History from Lafayette College and a Master of Engineering degree in Engineering Management from Stevens
(accessed May 26, 2023).[9] B. Marcus and S. Anderson, “Combating Climate Change with...New Materials,” Illinois Science Council, Apr. 19, 2021. https://www.illinoisscience.org/2021/04/combating- climate-change-with-new-materials/ (accessed May 26, 2023).[10] University of Copenhagen - Faculty of Science, “Making computer servers worldwide more climate friendly,” ScienceDaily. https://www.sciencedaily.com/releases/2021/07/210706133107.htm (accessed May 26, 2023).[11] G. Allen, “A New Old Way To Combat Toxic Algae: Float It Up, Then Skim It Off,” NPR, Jul. 29, 2019. Accessed: May 26, 2023. [Online]. Available: https://www.npr.org/2019/07/29/745666501/a-new-old-way-to-combat-toxic-algae-float- them-up-then-skim-them
practices related to culturally responsive pedagogy. a. Participating faculty are provided with inclusive language, activities, and diverse perspectives that address the science classroom climate to create a culture of inclusion, and engagement, from a strengths-based perspective. They are also provided opportunities to share their voice related to the material and its influence on their lived experience. b. Participating faculty learn about the importance of building STEM identity and its associated factors, which includes contributing to STEM knowledge, being recognized as a scientist or engineer, and
finally‘evaluating’ the results to document meaningful conclusions. Sample lab manual instructions anddatasheet for the analysis section of Lab Exercise # 2 are presented below.Exercise # 2 — I-V and P-V Characterization:Task II: Analysis:(a) Draw the equivalent circuit diagram for the I-V measurement under illumination and describe thecomplete measurement procedure. The circuit diagram must be hand sketched.(b) Plot the I-V and P-V curves for the solar modules and arrays using MATLAB.(c) Write a MATLAB script to compute/find the open-circuit voltage, short-circuit current, maximumpower, voltage at maximum power, current at maximum power, fill factor, and efficiency.(d) Complete Table 4.Table 4. PV parameters extracted by analysis of the experimental data
2015. Dr. Ohland is an ABET Pro- gram Evaluator for ASEE. He was the 2002–2006 President of Tau Beta Pi and is a Fellow of the ASEE, IEEE, and AAAS.Dr. Kenneth Reid, University of Indianapolis Kenneth Reid is the Associate Dean and Director of Engineering at the R. B. Annis School of Engineering at the University of Indianapolis. He and his coauthors were awarded the Wickenden award (Journal of Engineering Education, 2014) and Best Paper award, Educational Research and Methods Division (ASEE, 2014). He was awarded an IEEE-USA Professional Achievement Award (2013) for designing the B.S. degree in Engineering Education. He is a co-PI on the ”Engineering for Us All” (e4usa) project to develop a high school
other attributes to be learned and assessed, and (b) the evidence that describes thebehaviors or performances needed to support the claim. Learning experiences and assessmenttasks are then designed to help learners develop the knowledge to provide the desired evidenceor elicit those behaviors, respectively. The products were subjected to internal and external(content and pedagogical experts) and the curriculum piloted in the classroom.Through the development process, we worked closely with a middle school STEM teacher. Shehelped conceptualize the curriculum, ensuring the problem would connect and build upon themiddle school science curriculum. She was consulted throughout the drafting process to helpensure the activities would be engaging and
Year ward, 2012 ©American Society for Engineering Education, 2023 Building a Sustainable Institutional Structure to Support STEM Scholars – Work-in-ProgressIntroductionThis paper describes preliminary findings and outcomes from a five-year, NSF-sponsored project(Award #1565066) at Purdue University Fort Wayne to increase the number of students whocomplete engineering, engineering technology, and computer science degrees [1]. The objectivesof this project are to (a) increase graduation rates of the STEM cohorts; (b) build the foundationfor a sustainable institutional structure and support STEM scholars and other students; (c) carryout research designed to advance understanding of the
[1] J.R. McCusker, "Introducing First Year Students to Externally Collaborative InterdisciplinaryDesign", Proceedings of the 7th First Year Engineering Experience, Roanoke, VA, 2015.[2] B. Hubbard, "Understanding the Impact of a First-year Engineering Program onUndergraduate Student Persistence in Engineering," Ph.D. dissertation, College of Education,University of Kentucky, Lexington, Kentucky, 2022.[3] P. J.A.C Van der Zanden, E. Denessen, A. H.N. Cillessen, and P. C. Meijer, "Domains andpredictors of first-year student success: A systematic review," Educational Research Review,vol. 23, pp. 57-77, 2018.[4] S. J. Krause, J. A. Middleton, E. Judson, J. Ernzen, K. R. Beeley, and Y. C. Chen, "Factorsimpacting retention and success of
anxiety questions were not worded in a way that facilitated comparison between generaltest anxiety and test anxiety when a retake was available. Therefore, only data on test anxiety from the second surveyis reported. The data from the first survey, however, is consistent with these findings. (a) General test anxiety (b) Test anxiety for courses with SCTFigure 1: Comparison of distributions of student reported test anxiety for exams without and withsecond-chance testing. Our Likert scale goes from 6 to 30.Analysis and ResultsRQ1: How does second-chance testing influence test anxiety and student stress in general?In the interviews, a majority of students reported that second-chance testing led to a reduction
Robinson, D. Three pillars of sustainability: in search of conceptualorigins. Sustainability Science. 2019, 14(3), 681-695.[3] Boyle, C. Considerations on educating engineers in sustainability. Int. J. Sustain. High.Educ. 2004, 5, 147–155. [Google Scholar][4] Bell, S. Engineers, society, and sustainability. Synth. Lect. Eng. Technol. Soc. 2011, 6, 1–109.[Google Scholar][5] Momo, B. Hoople, G.D., Chen, D.A., Mejia, J.A., Lord, S.M. Broadening the EngineeringCanon: How Culturally Responsive Pedagogies Can Help Educate the Engineers of the Future.Murmurations: Emergence, Equity and Education 2020, vol. 1, no. 1, pp. 6-21, 2020.https://doi.org/10.31946/meee.v2i1.32[6] Paris, D. Culturally Sustaining Pedagogy: A Needed Change in Stance, Terminology
.2016.02.002.[4] J. Tuttas and B. Wagner, "Distributed online laboratories," in International Conference on Engineering Education, 2001, pp. 6-10.[5] T. De Jong, S. Sotiriou, and D. Gillet, "Innovations in STEM education: the Go-Lab federation of online labs," Smart Learning Environments, vol. 1, no. 1, pp. 1-16, 2014.[6] M. Hernández-de-Menéndez, A. Vallejo Guevara, and R. Morales-Menendez, "Virtual reality laboratories: a review of experiences," International Journal on Interactive Design and Manufacturing (IJIDeM), vol. 13, no. 3, pp. 947-966, 2019/09/01 2019, doi: 10.1007/s12008-019-00558-7.[7] M. Abdulwahed and Z. K. Nagy, "Applying Kolb's Experiential Learning Cycle for Laboratory Education
timeallowed during analysis. Table 2: Statistics of Correlation Score Datasets Mean Standard Dataset Correlation Median Mode Min Max Deviation Score (seconds) Original Timeline 2,900 8,478 683 25 1 84,093 Timeline w/ AFK 304 723 73 26 1 16,002 removed Figure 2: Distribution of correlation scores for the A) initial timeline dataset. B) 152 x 152 matrix of correlation scores displayed as a surface map for the initial timeline dataset
the operation of the electrical power systemin Dominican Republic were used for the simulations in cybersecurity. Some data points weremodified to model an attack condition in the electrical system. MATLAB classification learnertool was utilized to run the simulation. The classifier will train the network. The predictors arethe electrical line current for each phase (A, B, C), the electrical line voltage for each phase (A,B, C) and the energy consumption in kWh. The network is a classification tree type. At the endthe MATLAB tool classify test data into one of two scenarios defined as attack and normaloperation. The step-by-step process of data processing is presented in the appendix A of thispaper.2.3 Methodology for Optimization
in psychology, p. 875, 2017.[2] B. E. Hughes, “Coming out in STEM: Factors affecting retention of sexual minority STEM students,” Science advances, vol. 4, no. 3, p. eaao6373, 2018.[3] J. L. Herman, A. R. Flores, and K. K. O’Neill, “How many adults and youth identify as transgender in the United States?” Williams Institute, Tech. Rep., 06 2022. [Online]. Available: https://williamsinstitute.law.ucla.edu/wp-content/uploads/Trans-Pop-Update-Jun-2022.pdf[4] J. Roy, C. Wilson, A. Erdiaw-Kwasie, and K. Timothy, “Profiles of engineering and engineering technology, 2021,” American Society for Engineering Education, 2022.[5] National Center for Science and Engineering Statistics (NCSES), “Women, minorities, and persons with
listed below. 1. What curriculum components are most effective in teaching the content? a. What are the characteristics of each module that interest students? b. Can these characteristics be employed to make other modules more interesting? 2. How effective are interactive animated visualization modules more interesting? a. Are the unique differences based on gender and/or race? b. Does student perception of cybersecurity concepts improve?ResultsWe have collected surveys before and after each session to determine the students' knowledge ofthe cybersecurity principles taught. Students who attended the University of Toledo and PurdueUniversity Northwest summer camps in 2022 are surveyed. 30 students were subjected to
claim that the resource you found is quality. Criteria Evidence/ discussion C Currency The timeliness of the information R Relevance The importance of the information for your needs A Authority The source of the information A Accuracy The reliability, truthfulness and correctness of the content P Purpose The reason the information existsYou may want to reference what the librarian showed us:https://libguides.library.cpp.edu/c.php?g=962200&p=7216748Sample IEEE assessment questions 1- Which is the proper format? A) ."[13] B) .[13]" C) [13]." D) "[13]. 2- How should your reference list be ordered? A) In the order they are referenced in the paper B) Chronologically
design courses.MethodsThe method for this paper included the researchers creating and entering multiple prompts forChatGPT that are relevant to the three RQs provided above. The researchers, each experiencedteachers of ENES100, carried out conversations with ChatGPT until there was enough content todraw relevant conclusions on each RQ. Researchers then qualitatively analyzed theconversations, both individually and collectively, identifying themes related to (a) how ChatGPTcould have a beneficial effect on teaching/learning/design, and (b) challenges associated with theuse of ChatGPT in the areas of teaching/learning/design. All researchers used the free,web-based version of ChatGPT, release versions February 13th through May 24th [7]. It
- identify as a woman with Hispanic ethnicity, or “Latinas,” are of particularinterest in this study due to their underrepresentation in doctoral engineering programs, even atan R1 Hispanic serving institution.The research study is guided by the following two research questions: 1. To what extent do the following explain variance in research persistence intentions: (a) research self-efficacy, (b) engineering research identity, (c) perceived cultural compatibility? 2. Do Latinas’ intentions to pursue research opportunities differ from their peers?Experimental MethodsThis study involved designing and creating a survey instrument that was administered to first-year engineering students. We selected first year students because we were
engineering projects.The design process used by the course, illustrated in Figure 2, was developed to be genericenough to apply to any engineering discipline. It consists of three design phases, each with theirown output document. (a) (b) Figure 2: The ENGGEN 115 Design Process is generic enough to apply to any engineering discipline (a). The messy and iterative nature of design is illustrated through additional arrows, and the scopes of the two design projects identified in (b). - The Problem Definition phase encourages background research, stakeholder assessments, and deep understanding of the problem beyond the original problem statement. This phase
can reach out and see what’s going on.Table 3: Mapping from number of LOs mastered to final course grade. For LOs for which twochecks were required for mastery, earning one check was worth half a LO mastered. # of LOs mastered Course grade 12 D 12.5 C− 13 C 13.5 C+ 14 B− 15 B 16 B+ 17 A
first-year engi-neering students with little experience coding in Python. The course consisted of two types of content: (a)UMC content that positioned students to participate in IBL activities and (b) projects designed to catalyzestudents’ sociotechnical thinking by integrating coding with broader social issues. The section studiedhad 30 students, of which 10 (6 female, 4 male) agreed to participate in our study.4.2 Data SourcesWe collected two forms of data over the course of the pilot phase of this research. First, the lead authordocumented observations of learning activities in field jottings. Second, we asked students to documenttheir learning in Python “rules notebooks” and annotations on coding assignments. The rules notebooksare
by the table groups as a part of the session. The authors used these opportunitiesgenerated by the table groups as discussed during the session and a post-hoc analysis of the associated “Bugs” to discern meaning ofeach opportunity listed. From there, the authors negotiated opportunity convergence until session-level themes emerged and are listednext.Table 1: Group-Developed Engineering Leadership Research Opportunities Group A Group B Group C Opportunity 10: Defining EL Field Opportunity 1: Assessment Opportunity 5: Assessment
Paper ID #36790Peer oral exams: A learner-centered authentic assessment approachscalable to large classesMarko V. Lubarda, University of California, San Diego Marko V. Lubarda is an Assistant Teaching Professor in the Department of Mechanical and Aerospace Engineering at the University of California, San Diego. He teaches mechanics, materials science, design, computational analysis, and engineering mathematics courses, and has co-authored the undergraduate textbook Intermediate Solid Mechanics (Cambridge University Press, 2020). He is dedicated to engi- neering pedagogy and enriching students’ learning experiences through
, University of Illinois at Urbana - Champaign Alex Pagano is a PhD student studying engineering design. His work is focused on the early phases of design and the use of human-centered design or design thinking as a teaching tool. Alex holds a BS in Materials Science and Engineering from University ofMr. Saadeddine Shehab, University of Illinois at Urbana - Champaign I am currently the Associate Director of Assessment and Research team at the Siebel Center for Design (SCD) at the University of Illinois at Urbana-Champaign. I work with a group of wonderful and talented people at SCD’s Assessment and Research Laboratory to conduct research that informs and evaluates our practice of teaching and learning human-centered design
support the creation of meaning aroundthe concept of neurodiversity is well aligned with understandings of neurodiversity in that itmakes use of multiple modes of communication and leverages visual thinking abilities that maybe strengths for many neurodiverse individuals. With these visual codes, we invited the viewer toconsider alternative ways to express ideas within the traditional engineering environmentthrough abstract, intuitive, and creative thinking. An example of visual codes used withinoutreach activities is provided in Figure 2. In Image A, individual puzzle pieces reflect a view ofthe uniqueness of each individual such as that found in neurological variations. Meanwhile, inImage B, the unique properties of individual pieces form part
: 10.1080/09544828.2021.1887462.[7] J. W. Lee, S. R. Daly, A. Huang-Saad, G. Rodriguez, and C. M. Seifert, “Cognitive strategies in solution mapping: How engineering designers identify problems for technological solutions,” Des. Stud., vol. 71, p. 100967, Nov. 2020, doi: 10.1016/j.destud.2020.100967.[8] J. W. Lee, Divergent Thinking in Front-End Design. Ann Arbor, MI: University of Michigan, 2019. Accessed: Jul. 01, 2020. [Online]. Available: https://deepblue.lib.umich.edu/handle/2027.42/149892[9] J. W. Lee, S. R. Daly, A. Huang-Saad, and C. M. Seifert, “Start With Problems or Solutions? Medical Device Design in Industry and Academia,” IEEE Access, vol. 8, pp. 208623–208642, 2020, doi: 10.1109/ACCESS.2020.3035966.[10] B
activity will allow studentsto reflect on the many ways that design can be done. Engineering design researchers often studystudent design teams to learn about design; engineering students should do the same as they beginto become reflective practitioners. To address this issue, the Designing Innovations (DI) Research Stream in the First-YearInnovation & Research Experience (FIRE) program at the University of Maryland (UMD)provides authentic research experience and extensive mentorship to first-year students [4].Designing Innovations students study how designers solve system design problems. In particular,they (a) identify appropriate system design problems, (b) develop designs that solve these problems, (c) plan and conduct
) papers that were published within the timeframe of 2017 to2022 and (b) papers with a social media (specifically Facebook, Instagram, and Twitter) focus onengineering. The search was conducted using the Scopus, Web of Science, Science Direct, IEEEXplore, ERIC, and Google Scholar databases, specifically targeting articles with the terms'Facebook AND Engineering', ' Instagram AND Engineering' and 'Twitter AND Engineering' inthe article's title, abstract, or keywords. In this study, a total of 48 articles [7, 8, 16-19, 27-30, 42,44-80] were initially reviewed for full text, and after careful consideration and evaluation, 21 ofthem were ultimately selected for the systematic literature review. Figure 1 shows the detailedsteps followed in this
Paper ID #39902Evaluation of a Work-Integrated Learning Program for Undergraduate STEMOutreach InstructorsDr. Lisa Romkey, University of Toronto Lisa Romkey serves as Associate Professor, Teaching and Associate Director of the Institute for Studies in Transdisciplinary Engineering Education and Practice.Daniel Munro, University of TorontoVirginia HallMs. Tracy L. Ross, Actua Tracy Ross holds a B.Sc. (Hons) in Environmental Chemistry from Queenˆa C™s University and a M.A. in the History and Philosophy of Science and Technology from University of Toronto. She has overseen high quality, targeted STEM outreach programs at a