our revitalization efforts andreflects our shared commitment to fostering positive change and enhancing the quality of life ofour communities.Figure 6. The University as the Liaison for Community Engagement Initiatives a. Capacity Building and Improved Infrastructure: Universities provide communities with the technical expertise, resources, and energy that university students bring to revitalization projects, building local capacity for future initiatives. University led revitalization projects result in the renovation of public spaces, infrastructure, and amenities, enhancing the quality of life for residents. b. Experiential Learning and Community Engagement: Involvement in community revitalization projects
instructors implemented story-driven learning inbiomedical engineering classrooms? (b) what are the commonalities and differences of expertand novice instructors’ pedagogical practices in story-driven learning engineering classrooms?,and (c) what is the nature of student entrepreneurial mindset change in story-driven learningclassrooms when taught by expert vis-à-vis novice instructors? Study Site. The site of our study was an undergraduate online course in a biomedicalengineering department at a large public university in the southeastern United States. The coursewe investigated, The Art of Telling Your Story, is a required class for biomedical engineeringstudents, a one-credit-hour online, synchronous course in which students meet for 2
analyze how they differ from one another, pending more survey respondents.References[1] Personal Communication between K. Mallouk and S. Chin. January 24, 2024.[2] A. M. Ogilvie and D. B. Knight, “Post-transfer Transition Experiences for Engineering Transfer Students,” Journal of College Student Retention: Research, Theory & Practice, p. 152102511882050, Jan. 2019, doi: https://doi.org/10.1177/1521025118820501.[3] N. L. Smith, J. R. Grohs, & E. M. Van Aken, (2021). "Comparison of transfer shock and graduation rates across engineering transfer student populations," Journal of Engineering Education, vol. 111. 10.1002/jee.20434.[4] M. J. Gray, S. A. Gunarathne, N. N. Nguyen, and E. E. Shortlidge, “Thriving
electronic circuitry so thatcode development can be done in parallel with hardware development. One example illustratingthe close equivalence between the simulation and actual circuit is given in Figure 1, taken fromthe set of tutorials available from [7].Figure 1. Illustration of simulation and implementation of a keyboard instrument [7]There is already extensive literature on projects using Tinkercad, both in print as well as videotutorials. From our perspective, we want to explore using it to lower the barrier to engaging inauthentic engineering projects. We hope this will happen through: a) Easy access b) Intuitive interface that closely mimics actual hardware c) Early exposure to combined hardware and software projects d
providedinvaluable suggestions to strengthening this study before and throughout the first year of itsexecution. This material is based upon work supported by the National Science Foundation underGrant No. 2147193. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] D. Eisenberg, M. F. Downs, E. Golberstein, and K. Zivin, “Stigma and Help Seeking for Mental Health Among College Students,” Med. Care Res. Rev., vol. 66, no. 5, pp. 522–541, 2009, doi: 10.1177/1077558709335173.[2] A. Benbow, “Mental Illness, Stigma, and the Media,” Ment. Illn., p. 5.[3] P. W. Corrigan, B. G. Druss, and D. A. Perlick, “The
constructive feedback, which helped us to sharpen the paper.References [1] J. L. Huff, B. Okai, K. Shanachilubwa, N. W. Sochacka, and J. Walther, “Unpacking professional shame: Patterns of White male engineering students living in and out of threats to their identities,” Journal of Engineering Education, vol. 110, no. 2, pp. 414-436, 2021, doi: 10.1002/jee.20381. [2] J. P. Tangney and R. L. Dearing, Shame and guilt. Guilford Press, 2003. [3] H. B. Lewis, Shame and Guilt in Neurosis. International Universities Press, 1971.[4] T. J. Ferguson, H. L. Eyre, and M. Ashbaker, “Unwanted identities: A key variable in shame–anger links and gender differences in shame,” Sex Roles, vol. 42, nos. 3-4, pp. 133-157, 2000, doi: 10.1023/A
relate to the students’ exam performance.To answer this research question, we represented the distribution of the students’ examperformance and quality of the study sheet. In addition, we performed a t-test analysis toexamine the effect of the quality of study sheet on two groups of students (MCS and LCS).While the students in the MCS group obtained a median score (85) or above, the students in theLCS group obtained a score below the median score.Figures 1(a) and 1(b) displayed below illustrate the distribution of exam performance and studysheet scores, respectively. Although the distribution of students’ exam performance is somewhatnormal, the distribution of study sheet scores is not. (a
] Kane, M., and Trochim, W. M. K., 2007, Concept Mapping for Planning and Evaluation, Sage Publications, Inc, Thousand Oaks, CA, US.[13] Weber, P., Dillon, H., and Lee, S.-J., 2022, “Benefits of Statics Concept Mapping in Career Cognition.”[14] Fang, N., 2012, “Enhancing Students’ Understanding of Dynamics Concepts Through a New 9 Concept Mapping Approach: Tree of Dynamics,” p. 25.574.1-25.574.13.[15] Moore, J. P., Pierce, R. S., and Williams, C. B., 2012, “Towards an ‘Adaptive Concept Map’: Creating an Expert-Generated Concept Map of an Engineering Statics Curriculum,” p. 25.1365.1-25.1365.13.[16] Moore, J. P
aless unanimous perception among students regarding the usefulness of concept maps inunderstanding interconnections in these courses. The higher SD values implied some variabilityin student opinions, suggesting a mix of perspectives, especially in the ECE 210 course.Figure 5 shows the mean value and SD among four courses to survey question 4: Were conceptmaps useful for students who learn best through visual methods? Figure 5: Mean value and SD for survey question 4ECE 110, ECE 329, and ECE 333 had relatively higher mean values, which suggested that (a) Electrostatic map (b) Electrodynamic map Figure 6: Concept Map used in ECE 329 [20].concept maps are
proceed without satisfying thedesired learning objectives.One potential method to ensure equal work distribution in group programming assignments is tohave each team member work on individual source control branches, having them know that thecourse staff will verify their individual contributions during evaluation.Given the benefits of collaborative work and the need to assess individual contributions, in thispaper, we focus on answering the following research questions: 1. RQ1(a): Do students in an introductory software engineering course, working in pairs, distribute work equally? RQ1(b): Can we use measurements based on git logs to assess each team member’s work contribution? How is this measurement correlated with the amount
these models are featured in Figure 3, eachpotentially containing additional vectors, components, or steps that are selectively concealed orrevealed to align with the teaching sequence. Figure 2. Equivalent system process shown through 3D models a) original loading, b) reductionto resultant force and couple-moment, c) resolving resultant couple-moment into components, d)single resultant force at specific coordinates.Figure 3. Examples of 3D CAD models used to introduce and explain various topics: a)coordinate direction angles and in-plane and out-of-plane angles, b) moment about a point usingthe cross product, c) reducing a parallel force system to a single resultant force, d) reducing asystem to a wrench.StaticView creationThe subsequent phase
their order can yield the same final shape. However, they can be useful in verifying that specific modeling decisions have been made. For example, confirming if a particular type of feature is used in the model and are they added at a suitable stage in the modeling process. These would have to be stated requirements that a designer would need to meet in the modeling activity. Even with these guidelines there remain numerous modeling strategies that can be followed to arrive at a solution. Using the same crank arm capstone example, Figure 3 illustrates this using the strategies taken by three of the student designers. Designers ‘A’ and ‘B’ start by modeling the chainring end of the crank, though using different strategies
-efficacy b. Sense of Belonging c. Participation d. Community of Practice e. Grade Point Average (GPA) f. BarriersWe classify the participants as active and inactive. Participants who were classified “activestudents” included those who participated in extra/co-curricular activities such as tutoring,mentoring, and student organizations. Participants who are classified as “inactive students”included those who did not participate in any of the previously mentioned activities. 2. Case Study InterviewThe case study interviews utilized the AI method, which is a strengths-based approach that looksat the positives rather than the negatives of a situation [49], [50]. When interviewing participantsabout the barriers they faced, the
. Table 2 lists the instruction plan for week 3, including the topics to be covered,the activities that students complete in-class and after class, and the instructor’s role. Additionalinformation on each topic is listed in Appendix B. Please note that students’ responses can be collectedeither via a clicker, live via an online survey, by choosing to speak out in the class or by any other methodthat the instructor sees fit.Table 2: Week 3 Plan Topic Activity Instructor’s role Team forming phases: each Instruct students to share their Discuss with students their team passes by five insight on which phase they responses and
direction of the resultant moment (see Figure 2). Using the scalarapproach to calculating 2D moments, this requires that students are able to: 1. Identify which force components do and do not cause a moment about the given point. a. Ability to recognize vertical forces that cause moment. b. Ability to recognize horizontal forces that cause moment. 2. Find the moment arm distance for each force component. 3. Determine the direction of each moment of force. 4. Add to find the resultant moment. Figure 2. Exam problem on moments of forces.The errors identified for each of the above skills are summarized in Table 2 below. Again, minorcalculation errors were not included in the analysis
the estimate.The model achieved a perfect testing accuracy of 100% on a limited held-out test set butstruggled to generalize effectively to self-generated data. To improve performance on self-generated data, further experiments or image preprocessing techniques are essential for futureASL recognition applications. b. affect unit The affect unit serves a dual purpose: firstly, to extract localized facial expressions, andsecondly, to predict real-time user performance based on these features. As the user interactswith the system, MediaPipe [13] is employed to extract 52 localized facial expressions and 39pose features. Localized facial expressions are quantified based on their presence in a givenframe, while pose attributes encompass (x, y
from a study investigating thetransition from capstone design to industry,” In 2018 Capstone Design Conference Proceedings,June 2018.[13] B. Amadei, “Engineering for sustainable human development: A guide to successful small-scale community projects,” American Society of Civil Engineers, August 2014.[14] B. Altringer and F. Habbal, “Embedding design thinking in a multidisciplinary engineeringcurriculum,” in VentureWell: Proceedings of Open, the Annual Conference. National CollegiateInventors & Innovators Alliance, 2015, p. 1.[15] R.M. Felder and R. Brent, “Designing and teaching courses to satisfy the ABET engineeringcriteria,” Journal of Engineering Education, 92(1), 2003, pp. 7-25.[16] G. Lichtenstein, A.C. McCormick, S.D. Sheppard and J
-College Engineering Education Research (J-PEER), vol. 5, no. 2, Nov. 2015, doi: 10.7771/2157-9288.1102.[12] D. B. Montfort, S. Brown, and V. Whritenour, “Secondary Students’ Conceptual Understanding ofEngineering as a Field,” Journal of Pre-College Engineering Education Research (J-PEER), vol. 3, no. 2,Oct. 2013, doi: 10.7771/2157-9288.1057.[13] J. E. Morris and L. F. Paris, “Rethinking arts-based research methods in education: enhancedparticipant engagement processes to increase research credibility and knowledge translation,”International Journal of Research & Method in Education, vol. 45, no. 1, pp. 99–112, Jan. 2022, doi:10.1080/1743727X.2021.1926971.[14] N. Brown, “Scope and continuum of participatory research,” International
examples of volume visualization usingthe 3D model. The polygon tool is utilized to measure the stockpile volume, as shown in Figure1(a). This tool enables us to define the area of interest and accurately measure the volume of thestockpile. Once the area of interest is defined with the polygon tool, the stockpile is inspectedand displayed in the 3D model, as demonstrated in Figure 1(b). This process is a highly effectiveway to measure the accurate volume of earthwork and trenches, depending on the polygon tool'scoverage area. In summary, the volume visualization feature, coupled with the polygon tool, isan excellent way to measure accurate volumes of stockpiles. It is a quick and efficient methodthat yields precise results, making it an
how students worked withthe set up.References [1] R. M. Siegfried, K. G. Herbert-Berger, K. Leune, and J. P. Siegfried, ‘‘Trends of commonly used programming languages in cs1 and cs2 learning,’’ in 2021 16th International Conference on Computer Science and Education (ICCSE), 2021, pp. 407–412. doi: 10.1109/ICCSE51940.2021.9569444. [2] B. A. Becker and K. Quille, ‘‘50 years of cs1 at sigcse: A review of the evolution of introductory programming education research,’’ in Proceedings of the 50th ACM Technical Symposium on Computer Science Education, ser. SIGCSE ’19, Minneapolis, MN, USA: Association for Computing Machinery, 2019, pp. 338–344, isbn: 9781450358903. doi: 10.1145/3287324.3287432. [Online]. Available
-doctoral researcher, and (6) an African Americanpost-baccalaureate psychology student. MethodsResearch DesignThis research was drawn from a larger multiple embedded case study that sought to understandthe nature and quality of STEM doctoral mentorships. However, this work focuses on anextracted case: women STEM doctoral students. Data was drawn from a National ScienceFoundation Alliances for Graduate Education and the Professoriate (NSF AGEP) grant-fundedresearch study, which included three institutional types: (a) Historically White Insitution (HWI)-Flagship/R1, (b) Historically Black College and University (HBCU)/R2, and (c) HWI-Regional/R2. These institutions were located in the Southeastern part of
-validation as the entirePOST partition is now included in the test data). The results are reported in the two confusionmatrices as shown below in figure 5.Once again, the average accuracy for each configuration can be found by adding the diagonals(which indicate correctly classified samples) and dividing by the total sum (which also includes (a) (b) Figure 5: Confusion matrices where the model was trained and validated only on the PRE partition of the dataset (a) and later tested on the POST partition of the dataset (b)incorrectly classified samples). In this case the average accuracy for the model trained and testedon the PRE partition is ~79.6% (a), whereas the average accuracy
this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] M. M. Chemers, E. L. Zurbriggen, M. Syed, B. K. Goza, and S. Bearman, "The role of efficacy and identity in science career commitment among underrepresented minority students," Journal of Social Issues, vol. 67, no. 3, pp. 469-491, 2011, doi: 10.1111/j.1540-4560.2011.01710.x.[2] D. I. Hanauer, M. J. Graham, and G. F. Hatfull, "A measure of college student persistence in the sciences (PITS)," CBE-Life Sciences Education, vol. 15, no. 4, pp. 59- 82, 2016 2016, doi: 10.1187/cbe.15-09-0185.[3] T. Ju and J. Zhu, "Exploring senior engineering students’ engineering identity: the impact
activities (9.0%) organizations (14.0%) (32.5%) Trying new things (12.8%) Meeting faculty/staff (16.9%) Get rid of passport (9.0%)In regard to what was most useful about the passport, one student said “I met a lot of theengineering faculty and feel comfortable approaching them.” Another student found a similarexperience when asked what was most enjoyable, saying “Meeting the teachers, it was a lotmore personable and friendly than I imagined. I met Dr. [A] and Dr. [B] and had a very goodconversation.” Students also found it helpful to require them to attend TA hours, saying “Hadme visit TAs which I visited after I got it stamped.” Overall, the students seem to indicate apositive experience with the
of the Statics Modeling Kit developed by S. Ardakani and Ellis [11]. It wasdesigned to resemble a model of the equilibrium of a rigid body in 3D. It is very simple and easyto set up yet maintains sufficient stability to remain stable throughout the students’ completion ofthe activity. The labeled points A, B, C, and D, shown in Figure 1, are needed when studentscreate force vectors to solve the problem, which will be outlined in the following sections. Thevertical beam is placed at the origin (0,0) on the table by a ball and socket joint. Surrounding itare three pulleys, A, B, and C, with coordinates of (-3, 1, 2.5), (1, -3, 3.5), and (3, 2, 3.5),respectively. Strings are fastened to the top of the beam and rested over the three pulleys
. The interaction radius R is also mirrored on theopposite side, which is why particles at the other end of the simulation area also affect thebehavior of the particle approaching the boundary [9].Boids modelThe boids model, created by Craig Reynolds [5], is based on three basic rules of behavior thatare assigned to each individuum in the swarm: separation, alignment, and cohesion. These areshown schematically in Figures 3 (a) to (c). (a) Separation (b) Alignment (c) Cohesion Figure 3: Visualization of the computational rules for the boids modelThe rule of separation states that each individual boid wants to maintain a minimum distancefrom their neighbors – the protected range, represented
success of engineeringstudents in technical drawing from visualization test scores", Journal of Geometry andGraphics Vol. 6, No. 1, 2002, pp. 99- 109.[9] Veurink, N., and Sorby, S.A., “Raising the Bar? Longitudinal Study to Determinewhich Students Would Most Benefit from Spatial Training”, ASEE Annual Conference,Vancouver, B.C., Canada, 2011.[10] Sorby, S., A., Wysocki, A. F., and Baartmans, B. J., “Introduction to 3D SpatialVisualization: An Active Approach “(Book and CD), Published by Delmar CengageLearning, 2003.[11] Uttal, D.H., Meadow, N.G., Tipton, E., Hand, L.L., Alden, A.R., Newcombe, N.S.,and Warren, C., “The Malleability of Spatial Skills: A Meta-Analysis of Training Studies”,Psychological Bulletin 2013, Vol. 139, No. 2, 352–402[12
satellite swarms pose a rising threat to astronomy,” Nature, vol. 606, no. 7913, pp. 236–237, 2022.[7] E. Blue, M. Levine, and D. Nieusma, Engineering and war: Militarism, ethics, institutions, alternatives. 2013, p. 121. doi: 10.2200/S00548ED1V01Y201311ETS020.[8] A. Gupta, C. Turpen, T. Philip, and A. Elby, “Narrative Co-construction of Stances Towards Engineers’ Work in Socio-Technical Contexts,” in Critical, Transdisciplinary and Embodied Approaches in STEM Education, P. Sengupta, M.-C. Shanahan, and B. Kim, Eds., in Advances in STEM Education. , Cham: Springer International Publishing, 2019, pp. 251–272. doi: 10.1007/978-3-030-29489-2_14.[9] P. Freire, Pedagogy of the Oppressed. New York, NY
. A. Hill, C. Corbett and A. St. Rose, "Why So Few? Women in Science, Technology, Engineering, and Mathematics," AAUW, Washington, 2010.[2] M. J. Mohr-Schroeder, C. Jackson, M. Miller, B. Walcott, D. L. Little, L. Speler, W. Schooler and D. C. Schroeder, "Developing Middle School Students' Interests in STEM via Summer Learning Experiences: See Blue STEM Camp," School Science and Mathematics, vol. 114, no. 6, pp. 291-301, 2014.[3] R. Wu-Rorrer, "Filling the Gap: Integrating STEM into Career and Technical Education Middle School Programs," Technology and Engineering Teacher, vol. 77, no. 2, pp. 8-15, 2017.[4] "At a Glance," National Summer learning Association, 2017. [Online]. Available: https://www.summerlearning.org/at-a
, otherassets can be used to leverage resources available to forge careers in engineering [2]. Studentsstudying engineering in the borderlands experience additional hardships when navigating highereducation, as they manage tensions across disciplinary expertise, culture, language, as well asphysical borders of state and nation [3]. In this work in progress paper for the EQUITY group inASEE, we offer counternarratives of student experiences as possible resources for social justicework in local departmental contexts. The questions that we pose in our session are: A) How can constructed counternarratives of student experiences guide departmental dialog about equity and inclusion? B) How can faculty and staff serve as co-conspirators in the