Behavior, 11, 365-374.Baker, L. (1989). Metacognition, comprehension monitoring, and the adult reader. EducationalPsychology Review, 1, 3-38.Bekki, J., Ayela-Uwangue, A., Brunhaver, S., Kellam, N., Lande, M., & McKenna, A. (2017, June). Iwant to try that too! Development of a conceptual framework for interventions that encouragepedagogical risk taking among faculty. In ASEE Annual Conference and Exposition, ConferenceProceedings (Vol. 2017).Besterfield‐Sacre, M., Cox, M. F., Borrego, M., Beddoes, K., & Zhu, J. (2014). Changing engineeringeducation: Views of US faculty, chairs, and deans. Journal of Engineering Education, 103(2), 193-219.Birdi, K., Clegg, C., Patterson, M., Robinson, A., Stride, C. B., Wall, T. D., & Wood, S. J. (2008
. Performance Indicator Description of Performance Indicator Survey Questions 5.a An ability to provide team leadership 5, 6, 12 5.b An ability to create a collaborative environment 2, 5, 7, 8, 11 5.c An ability to create an inclusive environment 4, 9, 10, 16 5.d An ability to establish team goals 1, 18, 19 5.e An ability to plan team tasks 6, 17, 20 5.f An ability to meet team objectives 3, 13, 14, 15Table 1 – Definition of performance indicators for ABET Outcome 5 and correspondingquestions in the end of semester surveyImplementation with
. Cordova, "Mentoring Women and Minorities in Higher Education," 1988.[3] K. E. Kram and L. A. Isabella, "Mentoring alternatives: The role of peer relationships in career development," Academy of management Journal, vol. 28, pp. 110-132, 1985.[4] J. L. Mondisa, "Examining the Mentoring Approaches of African-American Mentors," Journal of African American Studies, vol. 22, pp. 293-308, 2018/12/01 2018.[5] L. Eby, J. Rhodes, and T. Allen, "Definition and evolution of mentoring," in The Blackwell Handbook of Mentoring, L. Eby and T. Allen, Eds., ed Malden, MA: Blackwell Publishing Ltd, 2007, pp. 7-20.[6] B. R. Ragins and K. E. Kram, "The roots and meaning of mentoring," in The handbook of mentoring at work
throughout themember in each one of these cases can be even more difficult. Figure 1. Sample classroom illustration of deformations under (a) bending, (b) torsion, (c) tension, and (d) compressionExperimental laboratory demonstrations are an effective means of providing students with aphysical understanding of engineering theories, but they can be prohibitively expensive andcumbersome [7]. For example, demonstrations involving medium to large structural members instructural mechanics laboratories require sizeable and costly loading machines and reaction framesattached to strong floors, placing smaller engineering programs and their students at a learningdisadvantage. Even when such facilities are available, the
with similar strength. The creation of new lightweight composites isalready being applied to the design of other vehicles [Prucz et al., 2013]. 2In the supply chain for the manufacturing of UAVs there is also a need to ensure that theproduction is compliant with design specifications. We define the four stages of the (advanced)manufacturing process as such 1. Development a. Research b. Analysis 2. Baseline Systems a. Prototype b. Design 3. Production a. Planning b. Testing 4. Logistics a. Delivery b. Support3. Introducing Advanced Manufacturing through UAV Construction and Analysis intoExisting
proposed mentorshipmodel. Specifically, the questions were designed to gather insights into their perceptions ofmentorship in the research context. The survey was electronically administered via Qualtrics toeleven students enrolled in small private university in Texas. The students selected to participatein the study consisted of both present and past students that participated in research groupsmentored by the faculty advisor. In this regard, survey questions were generated based on recurrentconversations the faculty advisor had with his undergraduate students during research meetings,office hours, or arbitrary settings. The authors note the following limitations of the piloted study:(a) small sample size; (b) self-developed survey instrument; (c
form of breakout rooms or smallgroups in which students can explain their reasoning to each other).3. Course Structure and Management of Learning CyclesDuring the Fall 2020 semester, the principal course instructor used the Master Based Learningmethod for the first time, using his section of Statics with a total enrollment of 49 students (39male, 10 female). The course was divided into 15 topics or “modules”, but some were combinedfor testing purposes, yielding 13 Mastery Test Levels. In order to earn a given letter grade (A, B,C, D; the institution does not use +/-), the student is required to pass each test corresponding tothe grade level, as well as all tests corresponding to the lower grade levels. Approximately onenew module is delivered
to solve related calculus problems [1,3,5,6,8-16]. The results of this work can help developing asuccessful teaching methodology of Taylor series after determining areas that can be used for improving learnersability to respond questions. The same research question is empirically evaluated in [19] to continue investigatingundergraduate STEM students’ ability to respond to the following set of power series questions:Q. In a few sentences legibly answer each of the following questions (a) through (d).a) Describe the difference, if any, that exists between ex and 1 + + ! !b) Describe the difference, if any, that exists between e1 + e1 + e1
first step to cultural change. InA. Johri & B. M. Olds (Eds.), Cambridge handbook of engineering education research. NewYork: Cambridge University Press.4. Godfrey, E., & Parker, L. (2010). Mapping the cultural landscape in engineering education.Journal of Engineering Education, 99(2), 5–22.5. Riley, D. M. (2014). What's wrong with evidence? epistemological roots and pedagogicalimplications of "evidence-based practice" in STEM education. In 2014 American Society forEngineering Education. Indianapolis, IN.6. Biesta, G. (2007). Why "what works" won't work: Evidence‐based practice and the democraticdeficit in educational research. Educational theory, 57(1), 1-22.7. Cech, E. A. (2014). Culture of disengagement in engineering education
in thiswork by collecting additional survey responses.References[1] L. Bullard, R. Felder, and D. Raubenheimer, “Effects of active learning on student performance and retention in chemical engineering,” Annual Conference of the American Society for Engineering Education, Pittsburgh, PA. 2008.[2] S. Nogales-Delgado, S. Román Suero, and J. M. E. Martín, “COVID-19 outbreak: Insights about teaching tasks in a chemical engineering laboratory,” Educ. Sci., vol. 10, no. 9, p. 226, 2020.[3] A. K. Brady and D. Pradhan, “Learning without borders: Asynchronous and Distance Learning in the Age of COVID-19 and Beyond,” ATS Sch., vol. 1, no. 3, pp. 233–242, 2020.[4] L. Kohnke and B. L. Moorhouse, “Facilitating synchronous online
content of the workshop. 300 female students participated in the Girl Scouts STEM Dayworkshops in the past five years and all of them took the surveys. Table lists the questions weasked students after they completed each workshop. Table 2. Survey Questions for Girl Scouts STEM Day 1. Did you learn something new during this 2. Did you enjoy the activity? activity? (a) I really liked it (a) I learned a lot (b) I liked it (b) I learned some (c) It was OK (c) I did not learn anything (d) I did not like it (d) I was confused (e) It was boringFrom survey results, many girl scouts enjoyed
regarding the mode of instruction being used for this course? I would like it to be kept online with weekly online meetings I would like it to be kept online with weekly in-person meetings I would like it to be entirely in-person 4. How well is the online mode of instruction working out for you? Able to follow, no major issues Able to follow but major difficulties/issues. Unable to follow, need in-person instruction (a) (b) (c) (d)Figure 1. Results of the initial poll related to (a) residence (b) enrollments (c) preferences regarding modeof instruction
article well written and easy to follow. b) The article enhanced my understanding on the topic of the course. c) I found the contents of the article relevant and applicable for my future career.The answers available to the question were with a five-point scaling from ‘Strongly disagree’ to‘Strongly agree’. The student answers on the three questions asked after each of the five quizzesare shown in Figure 1.The questions a and b were used to determine the cognitive usability of the articles, whereasquestion c was used to determine the motivation of the students regarding the particular article.The questions a and b helped determine the applicability of each article as a viable teachingmaterial according to the students. These questions would
, Experience, and School: Expanded Edition, Washington, D.C.: The National Academies Press, 2000.[15] K. A. Ericsson, "The Influence of Experience and Deliberate Practice on the Development of Superior Expert Performance," in The Cambridge handbook of expertise and expert performance, K. A. Ericsson, N. Charness, P. J. Feltovich and R. R. Hoffman, Eds., Cambridge, UK, Cambridge University Press, 2006, pp. 683-704.[16] D. Jonassen, J. Strobel and C. B. Lee, "Everyday problem solving in engineering: Lessons for engineering educators," Journal of Engineering Education, vol. 95, no. 2, pp. 139-151, 2006.[17] S. E. Dreyfus, "The Five-Stage Model of Adult Skill Acquisition," Bulletin of Science, Technology & Society, vol. 24
program and is impacted by the lack of accessibility on this technology." It is intended to be a "Plan B" that is created and then brought out when needed. The Plan does not require the person to have an identical experience but should offer an experience that can provide a similar body of knowledge and learning opportunities as that gained by people who do not have the affected disabilities. It is usually created at the time that the technology is acquired and is a core part of the University purchasing process. There is no one way to write an EEAAP. Each situation is different, and when put in to use for a specific person will be different. The EEAAP should be a general idea of what to do to work
“effective” practice is considered to be one that supports and better preparesstudents, especially those designated as URM, to score higher on these “objective” measures[11]–[14]. Less dialogue has invited instructors and administrators within higher education torethink whether these instruments, the measures themselves, may be imperfect and biased. Whilegrades have a strong place in the logistics and culture of higher education in the United states(see Appendix A and B for information on American grading practices), now is the time toconsider their flaws and limitations, as well as explore new grading practices that may reducetheir inequitable impact on students who are already marginalized in STEM disciplines.In this paper, I argue that the very
form and Qualtrics. The purpose of the survey is twofold: a. Tounderstand what students’ expectations and the diversity in their expectations are, and b. To helpstudents actively recognize the diversity among their peers. Librarians can get a sense ofclassroom diversity by looking at the results of the survey. However, that alone does not advancethe concept of inclusion. According to McNair, inclusion is the “active, intentional, and ongoing engagement withdiversity—in the curriculum, in the co-curriculum, and in communities (intellectual, social,cultural, geographical) with which individuals might connect—in ways that increase awareness,content knowledge, cognitive sophistication, and empathic understanding of the complex
3.4percent of females [13]. The Regents acknowledged student resource expansion and correctinginstitutional deficits improved student retention outcomes. However, when reporting theincreased retention rates, the Regents failed to report the outcome by ethnicity and sex.Institutional Background The institutions – University of Colorado at Boulder (A) and University of Virginia (B) –included in this study were public doctoral granting, Research I comprehensive universities withadmission offer rates around 30-40 percent in the engineering undergraduate school. These PWIinstitutions were located in A) the Midwest and B) the Mid-Atlantic. Academic probation andsuspension policies differed by institution. Institution A shifted its probation and
renaming the two 4×4 coefficient matrices into A and B, Equation (12) can be representedas Az Bz 0 . (13)With the approach z wet , Equation (13) turns into the eigenvalue problem A B jI w j 0 1 (14)and its solution consists of four complex eigenvalues λj (in complex conjugate pairs) and fourcorresponding eigenvectors wj. The real parts of the eigenvalues specify the exponentialattenuation of the system, and the imaginary parts represent the system’s natural
particular affinities (e.g., parents, employees) that are most salient to them. Indeed, theselearners, as we describe in the literature review, face personal or interpersonal situations (e.g., a need towork to support family members) that are largely misaligned with the framing of post-secondary educationfor traditional students.Considering the specific context of engineering and computing programs, we derive our definition ofnontraditional students in engineering from Minichiello (2018), who defines this population as students(see Figure 1) who would be classified in at least one of the following categories: “(a) Delaying collegeenrollment by one year or more; (b) attending college part-time, meaning they enroll in fewer than 12 creditsper semester
: Survey question 1 (Given to both groups: ELDM and CoE Comparisons): Part ‘a’: Indicate how well your (PSU undergraduate degree (Major & Minor courses, extra-curricular activities, etc.)) prepared you for your professional career and enhanced your ability relative to each of the following. (list of 13 competencies) Part ‘b’: How important are the following to your professional work? (list of 13 competencies) Survey question 2 (Only given to the ELDM group): Indicate how well the ELD Minor program prepared you for your professional career and enhanced your ability relative to each of these leadership competencies. (list of 13 competencies)Both of
Paper ID #33546Opportunity in Design: Extending and Enriching the Purpose ofEngineering EducationDr. Cole Hatfield Joslyn, University of Texas at El Paso Cole Joslyn is an Assistant Professor of Practice in the Department of Engineering Education and Lead- ership at The University of Texas at El Paso. His research emphasizes humanizing engineering education, particularly 1) increasing Latinx students’ sense of belonging in engineering by a) integrating holistic, socio-culturally responsive practices and Latinx cultural assets and values into educational success strate- gies, and b) understanding how Latinx students
Individual Differences, 71, 66-76.[11] Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological bulletin, 130[12] Kuncel, N. R., Credé, M., Thomas, L. L., Klieger, D. M., Seiler, S. N., & Woo, S. E. (2005). A meta-analysis of the validity of the Pharmacy College Admission Test (PCAT) and grade predictors of pharmacy student performance. American Journal of Pharmaceutical Education, 69(3).[13] Fan, X., & Chen, M. (2001). Parental involvement and students' academic achievement: A meta- analysis. Educational psychology review, 13(1), 1-22.[14] Grove, W. A., & Wasserman, T
. Hilton, "Work in Progress: Developing Mechanics of Materials Skills through an Integrated Prototyping Project". 2020 ASEE Virtual Annual Conference Content Access, Virtual On-line, June 2020. ASEE Conferences, 2021[2] L. W. Anderson and B. S. Bloom. A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives. Longman, 2001.[3] C. M. Halupa, and B. W. Caldwell., "A Comparison of a Traditional Lecture-Based and Online Supplemental Video and Lecture-Based Approach in an Engineering Statics Class." International Journal of Higher Education, vol 4, no. 1, pp. 232-240, 2015[4] G. B. Wright, "Student-centered learning in higher education." International Journal of Teaching and
toaccompany some of the weekly homeworks. A typical Livescript document includes a code thatproduces a dynamically adjustable figure either (a) of symbolically defined functions thatstudents can input, such as the components of a velocity field or the volumetric pressure functionas shown in Figure 1, or (b) of a mathematical model of an engineering system such as the rocketnozzle shown in Figure 2. With these activities students had to attend to the significance ofmathematical derivations and models and to consider how changes in the behavior of a system(of equations) is explainable.Figure 1. A snapshot of the livescript developed to accompany a homework problem on velocity field and volumetric pressure.Figure 2. A
challenge with remote learning is ensuring all students have equitable access tothe Internet. The Spatial Vis app can work in offline mode if access to the Internet is a problem.Essentially, grading of assignments can occur locally and progress in the app is saved until theapp can connect with the internet and sync student progress with eGrove Education’s servers.3. Evaluation MethodsThis evaluation takes place in two college engineering CAD courses in San Diego, CA. The firstcourse denoted as Class A (CIVE 121 Computer Graphics for the Built Environment) was taughtat San Diego State University. It was on a semester system and was approximately 5-6 weeksinto the semester when the pandemic hit. The other course denoted as Class B (SE 3
discovers newinsight that the initial level of preparedness proved crucial in the academic excellence (over ascore of 90 for the final grade) of a student. (a) (b) (c)Figure 3. Distribution of final scores for three preparedness levels based on the quiz scores: a.low preparedness (quiz <65%); b. medium preparedness (quiz between 65% and 85%); c. highpreparedness (quiz >85%).A t-test performed on three levels of preparedness further conformed to the observation. Thedifferences in the means of the quizzes and final exams for low, medium, and highly preparedstudents are presented in Table 2. The comparison of final scores for medium and lowpreparedness indicates that students with low preparedness have significantly lower
to the STEM fields through hands-on,interdisciplinary, design projects. B. FIRST-YEAR INTEREST GROUPSFirst-Year Interest Groups (FIGs) are clusters of three UW CoE classes, linked together toexplore a common theme, and offered to incoming freshmen who attend these classes together asa cohort [7]. During the fall of 2018, the makerspace hosted an interdisciplinary FIG between theSchool of Human Ecology and the College of Engineering. The “making” theme of the FIGinvolved 40 students from across campus working with the UW CoE Child Development Lab toprototype devices that helped preschool kids learn outdoors [8]. C. STUDENT ORGANIZATIONS AND EVENTSBoth the machine shop and makerspace support over 15 student organizations (clubs, teams
for PathDist happens either when PathDist does not reduce(character got stuck on its path to the goal) or when PathDist drops steeply (character took ashortcut and misses some gems).The observable behavior of abstraction is defined as adding a command and changingparameters at once, or as neglecting distractors or details (see Table 2 below). Examining thevisualizations, we originally expected that (a) some students would add all commands and thenchange their parameters at once and that (b) other students would change the parameter aftereach added command. However, it could be seen that the second behavior (b) was prevalent, andthat the first behavior (a) would only occur if there was a misconception present. Figure 4 showsan example of the
sealed for proper operation or filtered with High-Efficiency ParticulateAbsorbing (HEPA) filtration1,2.6-Project main components(a)-MotorThe motor is a one stage, 120VAC, 6 inches inlet/outlet turbine-style motor that can provide anair exhaust of up to 980 CFM. It has the capability of being stepped down to 90VAC to provide aslower exhaust output. According to the calculations of supply CFM into the room (294CFM),this motor will be more than enough to make the isolation room negative. We will also be addingsingle phase Variable Frequency Drive (VFD) to further slow the CFM exhaust to reduce thequantity of air controlled, cool air, from escaping, therefore allowing more comfort for theisolated person.(b)-SensorDiff Press Click is an accurate