. 089484532211237, Sep. 2022, doi: 10.1177/08948453221123789.[4] R. Livinƫi, G. Gunnesch-Luca, and D. Iliescu, “Research self-efficacy: A meta-analysis,” Educational Psychologist, vol. 56, no. 3, pp. 215–242, Jul. 2021, doi: 10.1080/00461520.2021.1886103.[5] H.-B. Sheu, R. W. Lent, M. J. Miller, L. T. Penn, M. E. Cusick, and N. N. Truong, “Sources of self-efficacy and outcome expectations in science, technology, engineering, and mathematics domains: A meta-analysis,” Journal of Vocational Behavior, vol. 109, pp. 118–136, Dec. 2018, doi: 10.1016/j.jvb.2018.10.003.[6] L. Lunsford, “Doctoral Advising or Mentoring? Effects on Student Outcomes,” Mentoring & Tutoring: Partnership in Learning, vol. 20, no. 2, pp. 251–270, May 2012, doi
foundational tothe West Point graduate. As Superintendent, MacArthur was instrumental in establishing thefirst codified honor code at West Point. He saw that all the hard work that went into making agood military officer falls short if the character of the individual is not likewise developed. Ashe describes each, his words are clear, concise, and powerful. “…[T]olerance, not to debase nordeprive those from whom one may differ by character of custom, by race or color of distinction.…[B]alance, a sense of proportion and ability to put first things first. A realization that there isa time and a place for everything but a recognition of the old maxim 'nothing too much' - whatthe Ancients meant by the 'golden mean'. …[I]ntelligence, rather than sentiment
] T. Hunt, R. Carter, L. Zhang, and S. Yang, “Micro-credentials: the potential of personalizedprofessional development,” Development and Learning in Organizations: An InternationalJournal, vol. 34, no. 2, pp. 33-35, 2020.[2] B. Hoanca, B. and B. Craig,. “Invited Paper: Building a K-16-Industry Partnership to TrainIT Professionals,” Journal of Information Systems Education, vol. 30, no. 4, pp. 232–241, 2019.[3] L. Wheelahan and G. Moodie, “Gig Qualifications for the Gig Economy: Micro-Credentialsand the ‘Hungry Mile’,” Higher Education: The International Journal of Higher EducationResearch, vol. 83, no. 6, pp. 1279–1295, 2022.[4] NIST Computer Security Resource Center. Nice Framework Competencies: AssessingLearners for Cybersecurity Work (2nd
,” in IOP Conference Series: Materials Science and Engineering, IOP Publishing, 2019, p. 012021.[35] A. R. Dainty and H. Lingard, “Indirect discrimination in construction organizations and the impact on women’s careers,” Journal of Management in Engineering, vol. 22, no. 3, pp. 108–118, 2006.[36] C. L. Menches and D. M. Abraham, “Women in construction—tapping the untapped resource to meet future demands,” Journal of construction engineering and management, vol. 133, no. 9, pp. 701–707, 2007.[37] A. R. Dainty, B. M. Bagilhole, K. H. Ansari, and J. Jackson, “Creating equality in the construction industry: An agenda for change for women and ethnic minorities,” Journal of construction research, vol. 5, no. 01, pp. 75–86
, along with the instructor'sscore, will aid in the development of an efficient course, allowing the instructor to sharecourse information and skill sets with their students in the most efficient manner.In terms of the corresponding multiple-choice answer and communication style, the answersare randomized. When Question 1 asks, "When I am in a meeting, I prefer to sit___?" thepossible answers are: (A) at the head of the table, (B) where people can see me, (C) directlynext to another person, and (D) with at least one seat between me and the next person. Thesurvey itself makes no mention of communication style. As a result, the communication stylescoring sheet in the survey is used to determine the respondent's style.The scoring sheet enables the
with pressure sensitive paint tunnel. placed at the tip; b) rocket’s pressure measurements in a subsonic wind tunnel.wavelength but decided to test first the laser; the use of a lamp would have required a morecomplex experimental setup with the aid of optical lenses, which was planned during thesemester but interrupted due to the switch to online only classes. Safety was essential for theseexperiments: using protective googles, avoiding eye contact and not ingesting the paint.Development of Apparatus for Enhanced Experiential Learning in the UNH ET Automation andControl Systems CoursesT. Sean Tavares, University of New HampshireASEE Engineering Technology Division
)One-way ANOVA: Using the data collected, an alpha of 0.05, and one-way ANOVA (assumingequal variances) test to compare means, the researchers rejected the null hypotheses (p-value<0.001) that the mean taxi-out (and taxi-in) time was same across the number of hotspotson small hub airports. Note – there were no small hub airports with 3 hotspots in the data. Taxi-out time: Using the Tukey HSD post hoc and 95% confidence, two significantly different groups (A and B) of small hub airports emerged. The mean taxi-out time was significantly different between the small hub airports in group A (0, 2, or 5 hotspots) and group B (1 or 4 hotspots). There was no significant difference within groups. Taxi-in time: Using the Tukey HSD post
Responses b) Reason for Choosing Secondary Non-Engineering Field Lack of academic difficulty Prestige of field Impact on society, making a difference Sense of belongingness/culture fit Job availability Earning potential Genuine interest or passion Role models Parental pressure Non-URMs URMs 0% 20% 40% 60% 80% Percentage of Responses c) Reason for Leaving Initial Engineering Field Experienced discrimination
Name Report (%) Grade Summary Student 1 75 B Student 2 88 B Student 3 89 B Student 4 90 B Student 5 94 B Student 6 90 B A=3 Student 7 54 C B = 10 Student 8 92 A C=1 Student 9 94 B Student 10 93
) whatare the best practices to formulate student assignments given student outcomes for ETACprograms, and b) how to devise and setup up standard rubrics in a LMS for unbiased scoring ofstudent work products.KEYWORDS: Geospatial Literacy, ETAC, ABET, Assessment, Evaluation, ContinuousImprovement, Rubric Assessment, Student Learning Outcomes, Engineering Technology.1. IntroductionEngineering and engineering technology (ET) programs at Higher Education Institutions (HEIs)value accreditation status because it encourages confidence among students that the educationalexperience offered by the institution meets high standards of excellence, enhances theiremployment opportunities, provides access to federal grants and scholarships, and satisfies
Attached” willsimilarly report more comfort in help-seeking and stronger positive relationships with educators.MethodsCourse Context: The intervention was implemented at a mid-size, private, R1 institution thatuses the quarter system. Each of the courses assessed in this work were taught by the Departmentof Biomedical Engineering and was a required course for graduation for undergraduate studentsin the BME major. Compared to Courses A and B from previous work [9], the Test Course had alarger class size (>100 students vs ~50) and was taught primarily through lectures withoutsubstantial active learning components. Other notable similarities and differences betweencourses are shown in Figure 1a.Office Hours Approach: “Office Hours: No Strings
traditional class, final grade consisted of 5% quizzes, 10% homework, 10% in-classexercises, and 75% exams. Major differences between the instructional strategies include the useof Persuall, assigning homework, and the overall weight of the exams.4. Results and Discussion a. Student PerformanceThe distribution of exam performance comparing flipped and traditional classes is seen in Figure2. For the traditional group (A), the average of the three exams was taken for each student. Theweighted average exam performance for the traditional class had a mean of 80.14%. For theflipped group (B), the weighted average of the five midterms was taken for each student. Theweighted average exam performance for the flipped class had a mean of 79.28%, which was
copperFigure 3 is the digital microscopy image representing 300 nm thickness silver coated fibrous sub-strates using 500X magnification (a) and using 2000X magnification (b). The image (a) is showingthe fibrous substrate with a specific pattern that remained unchanged after performing the coatings. (a) (b)Figure 3. Digital microscopy of 300 nm silver coated fibrous filter (a) 500X, and (b) 2000X mag- nificationThe image (b) is representing magnified coated fibers displaying that metallic thin films offeredappropriate coverage of the fiber substrates. Coatings are also applied to membrane substrates (notrepresented
Undergraduate Research Experience ( CUREs ). 2021 ASEE Southeast Section Conference.Kumbhar, S. R., Attar, A. C., & Telsang, M. T. (2018). Undergraduate research experience (URE): A new dimension in curricular redesign. Journal of Engineering Education Transformations, 2018(Special Issue). https://doi.org/10.16920/jeet/2018/v0i0/120927Mraz-craig, B. J. A., Daniel, K. L., Bucklin, C. J., Mishra, C., Ali, L., & Clase, K. L. (2018). Research and Teaching: Student Identities in Authentic Course-Based Undergraduate Research Experience. Journal of College Science Teaching, 048(01). https://doi.org/10.2505/4/jcst18_048_01_68National Society of Professional Engineers. (2019). Code of Ethics for Engineers.Noguez, J., &
: https://peer.asee.org/23989. [Accessed Feb 22, 2023].[7] L. Howe and J. Holles. "An Undergraduate Research Methods Class: Results andExperiences from Initial Offerings”, 2022 ASEE Annual Conference & Exposition, Minneapolis,MN, 2022, August. ASEE Conferences, 2022. [Online]. Available: https://peer.asee.org/41321.[Accessed Feb 22, 2023].[8] B. Liaw and I. Voiculescu, “An Integral Analytical Numerical Experimental Pedagogy for ASystem Dynamics and Control Course”, 2007 Annual Conference & Exposition, Honolulu,Hawaii, 2007, June. ASEE Conferences, 2007. [Online]. Available: https://peer.asee.org/1696.[Accessed Feb 22, 2023].[9] D. E. Palmgren and B. B. Rogers, "A Subsonic Wind Tunnel Facility for UndergraduateEngineering Technology
time of developing this paper, two semesters in 2022, we visited several constructionsites in progress from I am documenting three of them: a) We visited a four stories apartmentbuilding with a masonry and bearing walls structural system, b) we visited a 2 storiescommercial structural steel building with rigid frames and different slab systems, c) we visiteda public hospital construction with precast prestressed concrete structure, d) we visited a fourstories masonry commercial building, e) we visited a 59 stories high-rise building in areinforced concrete structural system with post tensioning slabs and f) we visited a campusfacilities building particularly at the construction of a retaining wall using the Berlin system. Figure 2. Site
., & Lee, C. B. (2006). Everyday problem solving in engineering:Lessons for engineering educators. Journal of engineering education, 95(2), 139-151.[2] Regev, G., Gause, D. C., & Wegmann, A. (2008, September). Requirements engineeringeducation in the 21st century, an experiential learning approach. In 2008 16th IEEE InternationalRequirements Engineering Conference (pp. 85-94). IEEE.[3] Regev, G., Gause, D. C., & Wegmann, A. (2009). Experiential learning approach forrequirements engineering education. Requirements engineering, 14(4), 269.[4] Reitman, W. (1964). Heuristic decision procedures, open constraints, and the structure of illdefined problems. In W. Shelley and G. L. Bryan, eds., Human judgments and optimality. NewYork: Wiley.[5
Paper ID #36869Board 425: Using Neural Networks to Provide Automated Feedback onElementary Mathematics InstructionPeter Youngs, University of Virginia Peter Youngs is a professor in the Department of Curriculum, Instruction, and Special Education at Univer- sity of Virginia. He conducts research on ways that neural networks can be used to (a) provide automated feedback to elementary teachers on their mathematics instruction and (b) make the process of analyzing videos of mathematics instruction more efficient and less time-consuming. His research has been funded by Institute of Education Sciences, National Science
) (b) (c)Figure 1: Concept demonstration of alternative 3D printed power distribution board via conductorembedding during printing, (a) original commercial board, (b) snapshot during printing, and (c)alternative board model completed [7]3.2 Concept design 2: Embed wiring after printing- a two-part PDB designThe second design iteration aimed at circumventing the need to pause printing in order to embedelectric wires consisted of making the board in two halves, top and bottom, with the bottom onehousing the channels in which the wires will be routed [7]. Additionally, this design created thepossibility of adding design features to the top half of the board that enable embedding bulletconnectors and establishing an
the Bridge Design course? b. If so, which interventions demonstrate a significant positive correlation with a students’ success in the Bridge Design course? 2. How are student attitudes towards careers in bridge design related to exposure to Anchored classroom interactions and a Bridge Design Course? 3. How much extra effort is required to implement effective Anchored classroom interventions.Anchored LearningAnchored learning is based on the construct of “situated cognition” which also forms the basisfor what is widely called “experiential learning”. Anchored learning is founded on the notion thatknowledge can be recalled when people are explicitly asked to use it as a “tool” for solving aproblem [7]. The anchor
improve the production line. For more informa- tion regarding the implementation of Kaizen needs, refer to [26]. In addition, Small Group Activities (SGA) is used for the Kaizen events. SGA, also known as contin- uous improvement or “Quality Circles” in the Japanese industry, is a method for problem-solving in teams by structurally searching for the root causes and eliminat- ing them [27]. A detailed work showing two SGAs and the PDCA cycle is presented in [28] with the main objective of reducing the scrap on a production line. (a) Before Kaizen (b) After Kaizen Figure 5: Kaizen event example 8. Second partial presentation: Similarly, the
number of harder-to-quantify system components and metrics for evaluation is believed to better represent the reality of LCA targets; b) LCA creates a focus on specificity and thus misses complex realities, despite a clearly defined quantitative target. Wynter traces the history of the “sinful by nature” descriptor of humans to the narrative used bythe Church to maintain the theocentric power structure in medieval Latin-Christian Europe [3]. Duringmedieval times that narrative was leveraged to convince subjects of their enslavement to Adam’s OriginalSin so as to seek redemption through the Church, whereas today the “sinful by nature” descriptor isleveraged by corporations and nation-states to subsume humans into the singular
makerspace. Figure 1: Open study space on the second floor Figure 2: Workbenches within the makerspace Within the makerspace, tools are available to checkout by all students who havecompleted a “Basic User Training,” with tools ranging from hammers, saws, sewing machines,and countless others as seen in Appendix B. This training provides the necessary information tosafely use the space and tools. The training gives a student access to hand tools, drills, sewingmachines and other basic tools that have little associated risk to the student. For tools that aremore dangerous or complex, additional training is required per tool. Examples of these includethe laser cutter, drill press, belt sander, CNC
Journal of Science Education, vol. 33, no. 18, pp. 2463–2488, 2011. [2] T.-R. Sikorski and D. Hammer, “Looking for coherence in science curriculum,” Science Education, vol. 101, no. 6, pp. 929–943, 2017. [3] E. Kuo, M. M. Hull, A. Elby, and A. Gupta, “Assessing mathematical sensemaking in physics through calculation-concept crossover,” Physical Review Physics Education Research, vol. 16, no. 2, p. 020109, 2020. [4] F. Zhao and A. Schuchardt, “Development of the sci-math sensemaking framework: categorizing sensemaking of mathematical equations in science,” International Journal of STEM Education, vol. 8, no. 1, pp. 1–18, 2021. [5] T. O. B. Odden and R. S. Russ, “Sensemaking epistemic game: A model of student sensemaking processes
typical guided problem sets, which leads students through thedesign of a dynamic programming algorithm. Dynamic programming is a core technique inalgorithm design; it is also widely recognized as one of the most challenging topics in anyalgorithms course.9, 14, 23, 29 Developing a dynamic programming algorithm typically involves threedistinct stages: 1. Recursive structure: Identify an appropriate recursive structure in the given problem. This requires identifying both (a) the subset of input data that each recursive subproblem needs to consider and (b) how the output of that recursive subproblem depends on that subset of input data. 2. Recursive solution: Write a mathematical recurrence or a recursive backtracking
project The product life cycle begins with the simple ABCs. The lifecycle, such as a predictive, iterative, incremental, agile, orfirst phase, "A" is concerned with “aspire,” where innovation hybrid method.” Selecting a suitable development approachand creativity emerge in the context of a solution to a problem and project methodology is essential, and this topic isor opportunity. The product idea needs to align with the discussed early in the product life cycle. A lot has been writtenmission statement and vision of the organization. The "B" in literature about this topic [6].phase deals with the "business case." The entrepreneur There are
can help.’”The article referenced is a collection of excerpts from the book “Peer-to-Peer Leadership:Transforming Student Culture” by Aaron Thompson, Greg Metz, and Joseph B. Cuseo. Contentsections summarized include Why Peer Leadership Matters in the 21st Century, The Importanceof Social Capital, The Power of Peer Leadership, and Positive Outcomes Associated with PeerLeadership. In the content referenced as the most impactful reading of the practicum, leadershipis undeniably linked to peer mentorship, yet the connection was missed in PL reflection. As thePeer Leader Practicum further develops, activities and discussions should reinforce theimportance of leadership development within the practice of peer mentorship.Peer Leaders Self-Identify
additional support for managing administrativetasks like car rentals. Constantly managing and requesting rental reservations was a distractionduring this experience. Student industry participants should have a single point-of-contact to assistthem with administrative duties such as car rentals and travel reimbursements.References [1] L. T. Murray, “Preparing students for a successful transition from academia: An industry perspective,” in 2009 Annual Conference &Exposition, no. 10.18260/1-2–5195. Austin, Texas: ASEE Conferences, June 2009, https://peer.asee.org/5195. [2] B. P. Nepal, B. Lawrence, and E. R. S. PhD, “Partnering with industry for providing experiential learning in an undergraduate class in industrial distribution,” in
Conference (FIE) (pp. 1-7). IEEE.[16] Pakala, K., & Bhaduri, S. (2022, February). Opportunities from Disruption-How lifelonglearning helped create more connected classrooms. In 2022 CoNECD (Collaborative Network forEngineering & Computing Diversity).[17] Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, andmixed methods approaches. Sage publications.[18] Glaser, B G 1978 Theoretical sensitivity: Advances in the methodology of grounded theory,Mill Valley, CA: Sociology Press[19] Glaser, B G and Strauss, A L (1967) The discovery of grounded theory: Strategies forqualitative research, New York: Aldine De Gruyer[20] Bhaduri, S., & Roy, T. (2015). Using grounded theory methodology to study
rates to those from successful S-STEM programs, such as theNSF/CSEM & S-STEM Programs at Louisiana State University [1].Figure 4. First (A) and second (B) year retention for CS+E-interested, domestic, first-timecollege students at UWT with GPA > 3, for ACCESS scholars vs. the comparison group (lowSES but not in ACCESS program), disaggregated by URM, First Gen, and gender status, andcompared to high SES students. Data are from students entering UWT between (A) 2018-2021and (B) 2018-2020. There were no significant differences between ACCESS and comparisongroup based on Chi-Square tests with alpha=0.05.Figure 5. Cumulative GPAs at the end of (A) year 1 and (B) year 2 of attendance, forCS+E-interested, domestic, first-time college students