in class greatly improved their ability to comprehend course material. Moreover, thestudents gained a stronger understanding of engineering in general, while developing self-confidence needed to excel in engineering related fields. Others felt valued by being treated asstudents in top tier institutions, while a few mentioned the rigor of the course is needed to ensurethe quality of education. These results were also reflected in student responses from the tier-oneinstitution.REFERENCES[1] Alon, S., 2007. The influence of financial aid in leveling group differences in graduating fromElite institutions. Economics of Education Review 26, (3), in press.[2] Bidwell, C. E., & Kasarda, J. D. (1980). Conceptualizing and measuring the effects of
. Students also integrate artinto the design to create an organic shape of fish and craftily shape the fins and tail into the moldto get fish features.3.2 ParticipantsThe participants were students in an Industrial Engineering course at a tribal university withABET Accredited Engineering programs. Six students participated in the course, consisting offive males and one female, aged 20- 36.3.3 Data Collection Instrument(s)The results were collected using a metacognitive reflection assignment consisting of twosections, Part 1 - Photovoice Reflection Prompts and Part 2 - Open-Ended Reflection Questions,with three questions in each area. Each student received a Metacognitive Reflection Assessmentwith Part 1- Photovoice Reflection Prompts and Part 2
and Operations Research from the Pennsylvania State University. ©American Society for Engineering Education, 2023 Navigating Intersectional Identities in Civil Engineering Education and Practice1 Introduction:Underrepresentation is a well-known and researched topic in academia, specifically forengineering that remains a White, male-dominated field [1]. Underrepresentation is defined by “apopulation’s representation in education and employment that is smaller than their representationin the U.S population.” It is also defined by the uniformity of representation by field, forexample, “Although women have reached parity with men among S&E bachelor’s degreerecipients—half
, belts, and chains, and other components. 7. Perform work in accordance with safety rules and procedures.3.3 Data Collection Instrument(s)Data collection instruments are detailed by Bosman and Shirey [33]. Upon completion of themodule, students submitted photovoice metacognitive reflection. Prompts are provided in insert2: Photovoice Reflection Prompt A (Entrepreneurial Mindset): The entrepreneurial mindset is defined as “the inclination to discover, evaluate, and exploit opportunities.” Explain how participating in the newly developed curriculum incorporated the entrepreneurial mindset, and lessons learned relevant to the entrepreneurial mindset. Photovoice Reflection Prompt B (STEAM): STEAM (science, technology, engineering, arts, math) goes
thepostdoc program is to create well-rounded scholars versed in research, teaching, and service.Using artifacts and postdoc reflections, this study aims to explore the experiences of the firstcohort of LEGACY postdoc scholars to understand how a newly created intersectionalmentorship model facilitates scholars’ progression toward faculty positions while curating aninclusive community and culture for scholars. The intersectional mentorship model framing this postdoc program is based on researchconducted by Dr. Cox, with some adaptations from Walker et al.’s (2009) The Formation ofScholars, which presents a multiple apprenticeship framework that offers a holistic approach tomentoring for scholars. The three mentor types in the program are primary
.[2] N. Cross, Engineering Design Methods: Strategies for Product Design, 4th ed. West Sussex, England: Wiley, 2008.[3] C. L. Dym and P. Little, Engineering design: A project-based introduction, Third. Hoboken, NJ: John Wiley & Sons, 2004.[4] M. French, J. Gravdahl, and M. J. French, Conceptual design for engineers. London: Design Council, 1985.[5] P. Yock et al., Biodesign: the process of innovating medical technologies, 2nd ed. Cambridge University Press, 2015.[6] J. W. Lee, S. R. Daly, A. Huang-Saad, G. Rodriguez, Q. DeVries, and C. M. Seifert, “A solution in search of problems: a cognitive tool for solution mapping to promote divergent thinking,” J. Eng. Des., vol. 32, no. 6, pp. 300–321, Jun. 2021, doi
CIT21400 course. In this study, we integrated the microlearning instructional approach into CIT 21400to help engage students and retain the knowledge gained through the introduction to datamanagement course. CIT 21400 is a required class for all CIT students and a prerequisite for allother courses in the data-management concentration. Figure 1 shows the current plan of study forthe CIT data-management concentration; we draw particular attention to CIT 21400’s position asa prerequisite course for all data-management courses. Approximately 140 students who enroll inCIT 21400 will directly benefit per academic year. We anticipate seeing learning and performancegains over time as students continue in their programs as an outcome of our research
distribution (both standard deviation and range) ofconscientiousness had positive correlation while the min conscientiousness had negativecorrelation with both novelty and complexity measures of the CPSS evaluation. Agreeablenessand neuroticism had a positive correlation with DQR measures. A plausible causal mechanism isthat agreeableness would improve team collaboration and thereby design team outcome.Interestingly, neuroticism showed a positive correlation with the DQR framework in both theteam maximum and the interval/standard deviation. This implies that having a team member withhigh neuroticism is a positive factor, but it is also beneficial to balance that with team member(s)with lower neuroticism scores. Intellect was found to have
cultural needs of students.Future work regarding the emphasis on science teachers as agents for change will focus on thein-school context of the action research projects. In this regard, qualitative and quantitative datawill be reported on novice teachers' engineering and cultural self-efficacy for teachingengineering processes.16 References[1] T. R. Guskey, "Professional development and teacher change," Teachers and Teaching, vol.8, (3), pp. 381-391, 2002.[2] B. Huang, M. S. Jong, Y. Tu, G. Hwang, C. S. Chai, and M. Y. Jiang, "Trends and exemplarypractices of STEM teacher professional development programs in K-12 contexts: A systematicreview of empirical studies," Comput. Educ., pp. 104577, 2022.[3] J. A
belowsummarizes the findings from our analysis of each article.Each article included undergraduate (and sometimes graduate) students working on anengineering design problem in teams of varying sizes. We focused on understanding the contextof each paper, the technique(s) used to elicit the mental model (“Elicitation Process”) from theteams and then the process used by the research team or the students themselves to generate arepresentation of that mental model (“Model Generation Process”). The design contexts in whichstudents were working were different and included topics related to issues with transportation insnow (Helm et al., 2017), designing low-income housing (Quinones et al. 2009), or designing anew desk lamp (Muller et al., 2009). The
moreaccurately assess whether the online sketching questions are indeed measuring what we intendthem to measure.As noted previously, the first five weeks of the semester in EGT 120 are devoted solely to handsketching, before introducing CAD work, and the sketching activities continue throughout thesemester. Considerable time is spent in class providing formative and summative feedback withthese conventional sketching practices. Because of the importance of sketching in developingvisualization abilities, even with the success of the format change on exams, there are no plans toreplace current lecture and lab sketching activities with items and exercises similar to those beingused on exams.References[1] N.L. Veurink, A.J. Hamlin, J. C. M. Kampe, S. A
institution.” Journal of Hispanic Higher Education, vol. 20, no. 3, pp. 297-312, 2021.[4] M. F. Rogers-Chapman. "Accessing STEM-focused education." Education and Urban Society, vol. 46, no. 6, pp. 716-737, 2014.[5] J. L. Petersen and J. S. Hyde. "Trajectories of self-perceived math ability, utility value and interest across middle school.” Ed. Psych., vol. 37, no. 4, pp. 438-456, 2017.[6] D. L. and Z. Lavicza, “Dissecting a Cube as a Teaching Strategy for Enhancing Students’ Spatial Reasoning,” Proceedings of Bridges 2019, pp. 319–326,[7] u/diegolieban, “GeoGebra and 3D printing: Mathematics as a creative practice,” GeoGebra, Feb. 03, 2020. www.geogebra.org/m/pkfzccjw (accessed Jan. 16, 2021).[8] Y. Gao, S. Liu, M. M. Atia, and A
optimize NLP use in qualitative analyses and demonstrate itsefficacy in further expanding qualitative research capacity in engineering education research.Future research will also explore code and theme frequency by gender, race, and ethnicity andalso explore error rates among those different groups.References[1] E.D. Liddy, "Natural Language Processing," in Encyclopedia of Library and Information Science, 2nd Ed., NY, Marcel Decker, Inc., 2001.[2] S. Tenny, J. M. Brannan, G. D. Brannan, Qualitative Study. Treasure Island, FL: StatPearls Publishing, 2022. Available from: https://www.ncbi.nlm.nih.gov/books/NBK470395/[3] "About e-rater", Educational Testing Service (ETS). [online]. Available: https://www.ets.org/erater/about.html[4] A
.[6] K. Mite-Baidal, C. Delgado-Vera, E. Solís-Avilés, A. H. Espinoza, J. Ortiz-Zambrano, and E. Varela-Tapia, “Sentiment analysis in education Domain: A systematic literature review,” in Technologies and Innovation, R. Valencia-García, G. Alcaraz-Mármol, J. Del Cioppo- Morstadt, N. Vera-Lucio, and M. Bucaram-Leverone, Eds., Cham: Springer International Publishing, 2018, pp. 285–297.[7] Y. Sun, Z. Ming, Z. Ball, S. Peng, J. K. Allen, and F. Mistree, “Assessment of Student Learning Through Reflection on Doing Using the Latent Dirichlet Algorithm,” J. Mech. Des., vol. 144, no. 12, Sep. 2022, doi: 10.1115/1.4055376.[8] U. Naseem, I. Razzak, K. Musial, and M. Imran, “Transformer based Deep Intelligent
Encyclopedia of Communication Research Methods. pp 1-11. 10.1002/9781118901731.iecrm0011[2] Bajwa, M. (2014). Emerging 21(st) Century Medical Technologies. Pakistan journal of medical sciences, 30(3), 649-655. https://doi.org/10.12669/pjms.303.5211[3] Costanza-Chock, S. (2020). Design Justice: Community-Led Practices to Build the Worlds We Need. MIT Press.[4] Oudshoorn, N., Rommes, E., & Stienstra, M. (2004, 2004/01/01). Configuring the User as Everybody: Gender and Design Cultures in Information and Communication Technologies. Science, Technology, & Human Values, 29(1), 30-63. https://doi.org/10.1177/0162243903259190[5] Cutting, K., & Hedenborg, E. (2019). Can Personas Speak? Biopolitics in Design
and Mentoring (iAM) Program to Promote Access to STEM ProfessionsBackgroundThe Integrated Achievement and Mentoring (iAM) Program at Hofstra University (HU) respondsto the challenge of retaining a diverse STEM student population [1]. This achievement-focusedprogram provides students early access to the hidden curriculum and contextualizes supportservices in a model that is inclusive, promotes belonging, and develops student identity locally inthe STEM community and globally as part of the University community. This is an NSFScholarships in STEM (S-STEM) Track 3 (multi-institution)-funded Program built on thetheoretical framework of legitimate peripheral participation with an emphasis on inclusivity,community, and belonging
more educators aboutour curriculum in an attempt to achieve wider adoption of CS Frontiers.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grants1949472, 1949492, and 1949488. Any opinions, findings, conclusions, or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.References[1] B. Broll, Á. Lédeczi, G. Stein, D. Jean, C. Brady, S. Grover, V. Cateté and T. Barnes, "Removing the Walls Around Visual Educational Programming Environments," in Proceeding of the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), St. Louis, Missouri, 2021.[2] L. Alvarez, I. Gransbury
students inthe college of engineering and college of arts and sciences. Student responses to open-endedquestions were scored manually by two trained raters in accordance with Grohs et al.’s publishedscoring guide [15]. Scores for each response were assigned and rationales recorded. An initialsample of 20% of the responses were scored individually by each rater. These scores were thencompared across raters to develop a consensus for interpreting student-generated text [16] andscoring guidelines normalized across raters. The remaining 80% of responses were split evenlybetween the two raters. This process required 50 human hours of work.Facilitated ScoringUsing the RStudio and the R Shiny package we import a spreadsheet of the raw text
. M. Jones, “Teachers’ perceptions of a maker-centered professional development experience: A multiple case study,” International Journal of Technology and Design Education, vol. 31, no. 4, pp. 697–721, 2021.[10] S. Meyers, K. Rowell, M. Wells, and B. C. Smith, “Teacher empathy: A model of empathy for teaching for student success,” College Teaching, vol. 67, no. 3, pp. 160–168, 2019.[11] C. R. Rogers et al., Freedom to learn: A view of what education might become. Merrill,, 1969.[12] S. Slater and M. Inagawa, “Bridging cultural divides: Role reversal as pedagogy,” Journal of Teaching in International Business, vol. 30, no. 3, pp. 269–308, 2019.[13] G. P. Wiggins, J. McTighe, L. J. Kiernan, and F. Frost, Understanding by
engineeringjudgment. As instructors are asked by ABET to document more complicated student outcomes(e.g., engineering judgment and inclusive environment[s]) and by Gen Z students to create anengaging and applied learning environment, we will continue to unpack the lessons learnedthrough this project and share more broadly with the civil engineering educational community.References1. National Academy of Engineering. “Educating the Engineer of 2020: Adapting Engineering Education to the New Century” (2005):2. National Academy of Engineering Committee on Public Understanding of Engineering. “Changing the Conversation: Messages for Improving Public Understanding of Engineering” (2008):3. National Academy of Engineering, U. “The Engineer of 2020
domain. We captured how marginalizing narrativescan hinder one’s developing a strong practice-linked identity. We plan to make furthercontributions by suggesting how the design of learning environments can facilitate students’(re)negotiation with their practice-linked identities.References [1] National Academy of Engineering, Diversity in Engineering: Managing the Workforce of the Future. Washington, DC: The National Academies Press, 2002. [2] S. Secules, “Making the familiar strange: An ethnographic scholarship of integration contextualizing engineering educational culture as masculine and competitive,” Engineering Studies, vol. 11, no. 3, pp. 196–216, 2019. [3] J. Trevelyan, “Reconstructing engineering from practice,” Engineering
Technol. Soc. Mag., vol. 20, no. 3, pp. 31–38, 2001, doi: 10.1109/44.952763.[11] H. Han, “Virtue Ethics, Positive Psychology, and a New Model of Science and Engineering Ethics Education,” Sci. Eng. Ethics, vol. 21, no. 2, pp. 441–460, 2014, doi: 10.1007/s11948-014-9539-7.[12] T. Iseda, “How should we foster the professional integrity of engineers in Japan? A pride- based approach,” Sci. Eng. Ethics, vol. 14, no. 2, pp. 165–176, 2008, doi: 10.1007/s11948- 007-9039-0.[13] G. Frigo, F. Marthaler, A. Albers, S. Ott, and R. Hillerbrand, “Training responsible engineers. Phronesis and the role of virtues in teaching engineering ethics,” Australas. J. Eng. Educ., vol. 26, no. 1, pp. 25–37, Jan. 2021, doi
of Control. (1997). Choice Reviews Online, 35(03). https://doi.org/10.5860/choice.35-18262. Sourav, M. S., Zhang, X., & Wang, H. (2021). Social media as information support in reducing COVID – 19 depressions: Self-efficacy as mediator for behavioral modeling. 2021 11th International Conference on Intelligent Control and Information Processing (ICICIP). https://doi.org/10.1109/icicip53388.2021.96421943. Lent, R. W., Miller, M. J., Smith, P. E., Watford, B. A., Hui, K., & Lim, R. H. (2015). Social cognitive model of Adjustment to engineering majors: Longitudinal Test across gender and race/ethnicity. Journal of Vocational Behavior, 86, 77–85. https://doi.org/10.1016/j.jvb.2014.11.0044. Microsoft releases National
ability.In the second year of the program (2018), the project team introduced a second measure, theRevised Minnesota Paper Form Board Test (RMPFBT) [12]. First published in the 1930’s, thetest measures an individual's ability to manipulate two-dimensional objects in their mind and isoften used to assess spatial visualization skills in engineering students. Unlike the PSVT:R, theRMPFBT has two equivalent forms, which should reduce practice effects. In 2018 and 2021,form AA was given as the pre-test, and BB was given as the post-test. In 2019 and 2022, theforms were reversed (BB as the pre-test). As a paper-and-pencil test, the RMPFBT could not beadministered in 2020.Reliability refers to the stability of test scores over time and the internal
preferences and behaviors of students. Prior to the 1990’s, academic libraries weredesigned to maximize space for physical collections, a trend that changed with the introductionof digital collections. As more materials became available on-line, librarians began rethinkingthe use of their physical spaces to focus more on optimizing student learning experiences. As aresult, the shift in design occurred from individual study, book-centered library spaces to agroup-study learning environment [1].Generation Z (Gen Z) college students, those born from the late 1990’s to the early 2000’s,expect to have choices. When it comes to space, they want to have control of their choices [2].Controlling choices in the moment of need by the student is the definition
academic major. Further research is necessary to determine ifreceiving social support while reporting a lower sense of belonging is enough to improvestudents’ persistence and graduation rates in engineering programs, particularly for HLX+students.References[1] National Science Board, “Science and Engineering Indicators 2012,” National Science Foundation (NSB 12-01), Arlington, VA, 2012.[2] S. Cheryan, V. C. Plaut, P. G. Davies, and C. M. Steele, “Ambient belonging: How stereotypical cues impact gender participation in computer science,” J. Pers. Soc. Psychol., vol. 97, no. 6, pp. 1045–1060, Dec. 2009, doi: 10.1037/a0016239.[3] C. Good, A. Rattan, and C. S. Dweck, “Why do women opt out? Sense of belonging and women’s representation in
partnerships are embraced worldwide [5, pp. 121–138] addressing a widerange of topics. Examples of engineering and water related projects include urban design [6, pp.48–56], geography and urban studies [7, pp. 43–57], water supply in rural communities [8, No.15], groundwater contamination on reservations [9], and sustainability and water conservation[10, No. 2]. Organizations like EPIC-N and Campus Compact serve to foster community-university partnerships and civic engagement [11] [12].Environmental justiceCommunity-university partnerships have played a role in advancing environmental justice sincethe inception of the movement in the 1980’s and continue to do so through community-engagedscholarship [13, p. 412] [14, p. 173]. Environmental justice is
/1/012100.[2] Data USA, “Computer hardware engineering,” 2020. [Online]. Available: https://datausa.io/profile/cip/computer-hardware-engineering[3] N. Ackovska and S. Ristov, “OER Approach for Specific Student Groups in Hardware- Based Courses,” IEEE Trans. Educ., vol. 57, no. 4, pp. 242–247, Nov. 2014, doi: 10.1109/TE.2014.2327007.[4] S. Amir et al., “Development and Evaluation of Hardware Obfuscation Benchmarks,” J Hardw Syst Secur, vol. 2, no. 2, pp. 142–161, Jun. 2018, doi: 10.1007/s41635-018-0036-3.[5] N. Ackovska and S. Ristov, “Hands-on improvements for efficient teaching computer science students about hardware,” presented at the 2013 IEEE Global Engineering Education Conference (EDUCON), IEEE, 2013, pp. 295–302.[6