underperforming students, and d) foster personal connections with students withinand outside of the classroom. Throughout, the commitment to a strengths-based approach mayenhance student motivation and engagement [43]-[45] as instructors provide multiple modes foractivities and assessments and provide flexibility that gives students the opportunity to makechoices and apply their strengths within the context of their learning activities and assessmentsThis study examines the potential impact(s) of the implementation of neuroinclusive teachingpractices in redesigned engineering courses, known within the project as Include Courses, or I-Courses. Specifically, the purpose of this study was to identify the predictors of students' senseof belonging in
portrayed by Black women to provide role models for young Black women tofollow.References[1] National Science Foundation, “Women, Minorities, and Persons with Disabilities in Science and Engineering: 2017.,” National Science Foundation, Arlington, VA, Special Report 17–310, 2017. [Online]. Available: www.nsf.gov/statistics/wmpd/.[2] U.S. Census Bureau, Population Estimates Program (PEP), “Black or African American alone percent. United States Census Bureau,” 2021. [Online]. Available: https://www.census.gov/quickfacts/fact/table/US/RHI225219#RHI225219[3] E. O. McGee and L. Bentley, “The troubled success of Black women in STEM,” Cogn. Instr., vol. 35, no. 4, pp. 265–289, 2017.[4] S. Beilock, “How diverse teams produce better
Paper ID #44088Proposal of Teacher Training in DEI + STEM: A Collaborative Work in LatinAmerica and the CaribbeanJuan Sebasti´an S´anchez-G´omez, Universidad de los Andes Doctoral student of PhD in Industrial and Systems Engineering at Universidad de los Andes (Colombia).Laura Eugenia Romero Robles, Tecnol´ogico de MonterreyMaria Catalina RamirezLIBIS DEL C VALDEZ C ˜Luis Alberto Cruz Salazar, Universidad Antonio Narino,Colombia; Technical University of Munich, School ofEngineering and Design, Germany ©American Society for Engineering Education, 2024 Proposal of
shows three contexts that influence engineering instructors offundamental engineering courses (FECs) in using tests in their courses: 1) autonomy, 2) coursecontext, and 3) inertia. These contexts are largely consistent with the literature, but also revealsome research gaps that the engineering education community should think about addressing toimprove our education processes. In addition, the community can use our findings to raisequestions about test usage, introducing intentionality with test usage in engineering classrooms.ReferencesAbadi, M. G., Hurwitz, D. S., & Brown, S. (2017). Influence of context on item-specific self- efficacy and competence of engineering students. International Journal of Engineering Education, 33(4
work is consideredrigorous engineering research? What work is considered to have the most value? What is valuedby the dominant cultural and political voices? This work-in-progress paper provides currentfindings as a brief narrative exploration of literature on engineering research culture, and theparadigm(s) that lead engineering research work that was guided by the following question: whatare the research and cultural paradigms that guide engineering research?As this question is ambiguous and broad, I would like to explicitly note that this paper does notreport on preliminary findings from the first stages of a scoping literature review, but it is anarrative literature review to lay a foundation for further exploration. This paper serves as
from a variety of sources such as faculty members, counseling centers, andindustry professionals could be beneficial. Furthermore, to create a curriculum that has asignificant impact with measurable outcomes on a particular subject, it is essential to determinethe most appropriate delivery method for the target audience.References[1] American College Health Association (ACHA), “NCHA- II_Fall_2017_Reference_Group_Executive_Summary.pdf.” Accessed: Nov. 13, 2022. [Online]. Available: https://www.acha.org/documents/ncha/NCHA[2] Lipson, S. K., Zhou, S., Abelson, S., Heinze, J., Jirsa, M., Morigney, J., ... & Eisenberg, D., “Trends in college student mental health and help-seeking by race/ethnicity: Findings from the national healthy
institutional processes – including tenure and promotion –through the lenses of diversity, equity, and inclusion.References[1] S. Bird, J. S. Litt and Y. Wang, "Creative Status of Women Reports: Institutional Housekeeping as 'Women’s work'," NWSA Journal, vol. 16, no. 1, pp. 194-206, 2004.[2] D. Britton and L. Logan, "Gendered Organizations: Progress and Prospects," Sociological Compass 2, pp. 107-121, 2008.[3] M. L. Daut, "Becoming Full Professor While Black," The Chronicle of Higher Education, 28 July 2019.[4] C. Flaherty, "Babar in the Room," Inside Higher Ed, 2020.[5] C. Flaherty, "Relying on Women, Not Rewarding Them," Inside Higher Ed, 12 April 2017.[6] C. M. Guarino and V. M. Borden, "Faculty Service Loads and Gender: Are Women
. M., Eisenberg, D., Perry, G. S., Dube, S. R., Kroenke, K., & Dhingra, S. S. (2012). Therelationships of level of positive mental health with current mental disorders in predicting suicidal behavior andacademic impairment in college students. Journal of American College Health, 60(2), 126-133.doi:10.1080/07448481.2011.6083934. Renshaw, T. L., Eklund, K. R., Bolognino, S. J., & Adodo, I. (2016). Bidimensional emotional health incollege students: A comparison of categorical and continuous analytic approaches. Journal of Psychopathology &Behavioral Assessment, 38(4), 681-694. doi:10.1007/s10862-016-9558-65. Lotkowski, V. A., Robbins, S. B., & Noeth, R. J. (2004). The role of academic and non-academic factors
recognition, machine learning, and engineering education. c American Society for Engineering Education, 2018 Scholarship Program Initiative via Recruitment, Innovation, and Transformation (SPIRIT): S-STEM Program Initiatives and Early ResultsThis paper describes the structure, project initiatives, and early results of the NSF S-STEMfunded SPIRIT: Scholarship Program Initiative via Recruitment, Innovation, and Transformationprogram at Western Carolina University (WCU). SPIRIT is a scholarship program focused onbuilding an interdisciplinary engineering learning community involved in extensive peer andfaculty mentoring, vertically-integrated Project Based Learning (PBL), and
worked to create but had fun at the same time: “Playing with Legos (is my favorite 15part), because I get to create things. I love creating things.” This seventh grade participantrecognized the need to use their brain to be innovative: “I feel like not just to be smart, but to behealthy, to be strong [sic]. It isn’t all about the brains. Most of it’s the brains, otherwise who’dcome up with NASA and stuff like that.” An eighth grade participant reported, “I was already thinking about it (a STEM career) butI think it made me for sure that I want to be an engineer later on [sic].” The participant enjoyedthe rocket launch experiment, as (s)he reports, “I think it was just really fun to
wood pellet,s willprovide the necessary data to determine what additional testing or criterion the commercialcooking appliances should undergo or potential changes or exceptions to NFPA 96 and theexhaust hood requirements for solid fuel cooking.Standards and regulations requirements NFPA 96 sets the minimum preventative and operative requirements to design, install,operate, inspect, and maintain all public and private cooking operations. The purpose of NFPA96 is to reduce the potential fire hazards of cooking operations regardless of the type of cookingequipment used. NFPA 96 outlines the minimum fire safety requirements for all devices andcomponents that are involved in capturing, containing, and controlling grease-laden cookingvapors
particular focus on their hidden identity, mental health, and wellbeing. Her work aims to enhance inclusivity and diversity in engineering education, contributing to the larger body of research in the field.Mr. Syed Ali Kamal, University at Buffalo, The State University of New York Syed Ali Kamal is a doctoral candidate in the Department of Engineering Education at University at Buffalo. His research interests lie in the area of diversity, equity and Inclusion, mental health and wellbeing.Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York Dr. Matilde S´anchez-Pe˜na is an assistant professor of Engineering Education at the University at Buffalo – SUNY where she leads the Diversity Assessment
negatively [5,6,7].Thus, more effective support for community college students transferring to four-yearinstitutions is needed to ensure their success [8]. One way to address this situation and secure thesuccess of transfer students is the creation of programs that provide institutionalized support totransfer students post-transfer. The NSF funded S-STEM scholarship programs are one exampleof such institutionalized support programs.They not only provide financial support to thestudents, but also have students engage in co-curriculum cohort activities including mentoring,academic advising, tutoring, social activities and career development activities [9].However, to develop the best support system possible, we need to have a clear understanding
inpsychological studies [22-26]. The continued curiosity in the theory of identity is attributed to thesignificance of understanding an individual in social settings and how they appear in society.Identity theory proposes individuals have several identities framed in hierarchal order. Commonly,identity is considered as categories used to establish the societal role for an individual. A coreobjective of identity theory is to indicate how the categories associated to an individual’s differentidentities are assigned and controlled during interactions. In the late 60’s Erik Erikson positedidentity formation essential to the development of an adolescent. Erikson’s framing of identityconsiders a process dually positioned in the core of an individual and
exercise of control. New York: W.H. Freeman.[3] Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109-132.[4] Hackett, G. (1995). Self-efficacy in career choice and development. In A. Bandura (Ed.), Self- efficacy in changing societies (pp. 232-258). New York: Cambridge.[5] Rottinghaus, P. J., Larson, I. M., Borgen, F. H. (2003). The relation of self-efficacy and interests: A meta-analysis of 60 samples. Journal of Vocational Behavior, 62, 221-236.[6] Hidi, S., & Renninger, K. A. (2006a). The role of interest in learning and development. Annual Review of Psychology, 57(1), 517-540.[7] Hakkarainen, K., & Malmberg, J. (2004). Communities of networked expertise
]. • Honoring the language(s) and cultural practices of minoritized communities, recognizing how racialized ideologies shape engineering education [21]. Curriculum and students • Fostering cultural competencies and social justice through culturally responsive engineering curriculum [22], [23]. • Link between social and technical aspects [24] - [26]. Learning • Learning centered in students’ funds of knowledge Profession and education • Expanding pathways into engineering Broader issues, the • Contextualizing the work in
researchshould explore how to best support student peer mentors in their role in ways that help breakdown the cultural stereotypes that pervade the profession while supporting student agency andlearning in the space.Acknowledgement – This material is based upon work supported by the National ScienceFoundation S-STEM program under Grant No. 1834139. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation.References[1] K. Sheridan, E. Halverson, B. Litts, L. Brahms, L. Jacobs-Priebe and T. Owens, "Learning in the making: A comparative case study of three makerspaces.," Harvard Educational Review, vol. 84, no. 4505-531
): Algorithm Details – do the authors name the machine learning method(s) used? Do they cite a quality paper for these method(s)? Do they discuss algorithmic settings? Example 1:“Linear discriminant analysis” has no algorithmic settings and means a specific function Example 2: “discriminant analysis” is unclear (i.e. there are many discriminant variants such as linear and quadratic) Example 3: Artificial neural networks have many settings (number of nodes, number of layers, types of nodes, training methods, architecture variant). All of these must be specified for repeatability Data Details – do the authors describe the source of the data or the collection means? Do they cite a source? Do they describe all data variables? Performance Result
Center for Applied Special Technology),Universal Design for Learning (UDL,) which is described on the CAST website as “a frameworkto improve and optimize teaching and learning for all people based on scientific insights intohow humans learn,” is heavily addressed in the scholarly literature. See the CAST website athttps://udlguidelines.cast.org/ for the basic outline of this method of accessible instruction. Asearch of UDL will result in many books, articles [54], and videos about using UDL principles aswell as challenges and critiques of the method.5See S. Burgstahler’s article, “Equal Access: Universal Design for Instruction” for a descriptionof UDI, which is a modification of UDL. Available at https://www.washington.edu/doit/equal-access
to an over-representation of 104% (percent change) compared to anover-representation of whites by just 4.8% (percent change)” (p. 271). While this seems to be,and arguably is, problematic, as Pippert and colleagues point out, this could potentially be aresult of the aspirations of IHEs – by depicting greater diversity, more diverse students may wantto enroll, which will create more diverse campuses. To that notion, Gibbs [68] argues – and weagree – that “persuasive marketing” by IHEs is unethical, and that colleges should resistemploying such strategies.This concept of disingenuous marketing was reproduced in Henslee et al.’s 2017 mixed methodsstudy examining undergraduate, first-year student perceptions of the college viewbook at
responsive teaching," Journal of teacher education, vol. 53, no. 2,pp. 106- 116, 2002.[02]R. T. White and R. F. Gunstone, "Metalearning and conceptual change," International Journal ofScience Education, vol. 11, no. 5, pp. 577-586, 1989.[03]D. Kuhn and S. Pearsall, "Developmental origins of scientific thinking," Journal of cognition andDevelopment, vol. 1, no. 1, pp. 113-129, 2000.[04]T. Litzinger, L. R. Lattuca, R. Hadgraft and W. Newstetter, "Engineering education and thedevelopment of expertise," Journal of Engineering Education, vol. 100, no. 1, pp. 123-150, 2011.[05]J. R. Frederiksen, M. Sipusic, M. Sherin and E. W. Wolfe, " Video portfolio assessment: Creating aframework for viewing the functions of teaching.," Educational Assessment, vol. 5
quantitative assessment tools, including Grit-S and Alternative Uses Test (AUT),and qualitative assessment tools, including open portfolios and showcase presentations. Weanalyzed three years of survey data from 159 youth who participated in after-school learningprograms at our research site. We also conducted interviews with three adult program staffmembers who administered the different assessments and collected their observations andreflections about youth’s attitudes towards them. Through participant observation and a focusgroup with 8 youth employees, we studied attitudes towards self- and peer-reviews in aprofessional training program housed at the center. Studying assessment procedures and youth’sattitudes towards them in these different
inattentive responders. The finalanalytical sample included 834 students. Participant gender identity, race/ethnicity, nationality,sexual identity, and disability status are reported in Table 1. Participants self-identified theirdemographics by selecting from categorical response options including write-in text options. Thesample is predominantly men (65%), and white (66%), which reflects the general populationcharacteristics among contemporary U. S. engineering undergraduates. Most participantsidentified as heterosexual/straight (88%) with 9% identifying as asexual, bisexual, gay, lesbian,pansexual, queer, or another sexual identity. Students reported a range of disabilities, withpsychological conditions predominating at 13% of the sample.Table 1
“effectivelydisrupt the systematic categorization of alternative neurological and cognitiveembodiment(s)”and “offers an emancipatory lens for representing and embodying neurologicaldifferences beyond traditional special education’s deficit-based discourses and practices.”C. INCLUDE ProjectThe INCLUDE project funded by the Revolutionizing Engineering Departments program of theNational Science Foundation has been established to transform department-wide practices andcreate an inclusive learning environment that empowers the diversity of learners present ininstitutions of higher education. This project aims to develop and refine a range of interventionstargeted towards multiple aspects of academic life, from recruitment to career development. TheINCLUDE team
Asian women in 2013, whereas approximately8% were Asian men [19]. Moreover, a recent report by the U. S. Bureau of Labor Statisticsindicated that the number of Asian women professionals were four times fewer than the numberof Asian men in the construction industry in 2022 [20]. Although the two industries are slightlydifferent, these statistics imply that Asian women's experiences cannot be understood simply asinheriting Asian’s privileges. Asian women face a number of challenges when completing their engineering programs.There are few female leaders in civil engineering [21] and even fewer Asian women leaders.Since there are so few Asian women leaders in civil engineering, it is difficult for prospectivecivil engineering students and
Council for Research on Women, 11 Hanover Square,20th Floor, New York, NY 10005.[3] Hill, C., Corbett, C., & St Rose, A. (2010). Why so few? Women in science, technology,engineering, and mathematics. American Association of University Women. 1111 SixteenthStreet NW, Washington, DC 20036.[4] Fouad, N. A., Hackett, G., Smith, P. L., Kantamneni, N., Fitzpatrick, M., Haag, S., &Spencer, D. (2010). Barriers and supports for continuing in mathematics and science: Gender andeducational level differences. Journal of Vocational Behavior, 77(3), 361-373.[5] Sullivan, A., & Bers, M. U. (2013). Gender differences in kindergarteners’ robotics andprogramming achievement. International journal of technology and design education, 23,691-702.[6
identity aspiration were underlying processes driving theconditional effect. Following (Preacher and Hayes 2004)’s recommendations, we tested ourmodel using non-parametric percentile bootstrapping to create confidence intervals for eacheffect with the lavaan package (Rosseel 2012). As shown in Figure 1, the result revealed that entrepreneurial identity aspiration wasdriving the observed conditional effect of the video intervention on entrepreneurial intention.Consistent with the results from OLS regression, participants in the relatable role modelcondition have higher entrepreneurial identity aspirations than those in the unrelatable role modelcondition with a point estimate of 0.11 and the 95% confidence interval of (0.01, 0.21
Whiteness and Maleness Visible,” J. Eng. Educ., vol. 106, no. 4, pp. 531–533, 2017, doi: 10.1002/jee.20181.[2] A. L. Pawley, “Shift the default in ‘broadening participation’ in STEM equity research,” Int. J. Gend. Sci. Technol., vol. 11, no. 3, Art. no. 3, 2019.[3] S. Secules, “Putting Diversity in Perspective: A Critical Cultural Historical Context for Representation in Engineering,” presented at the 2017 ASEE Annual Conference & Exposition, Jun. 2017. Accessed: Mar. 01, 2022. [Online]. Available: https://peer.asee.org/putting-diversity-in-perspective-a-critical-cultural-historical-context- for-representation-in-engineering[4] S. Secules, “Making the Familiar Strange: An Ethnographic Scholarship of Integration
recruitment and retention ofstudents to the Engineering Technology (ET) programs within the College of EngineeringTechnology (CET) at the Rochester Institute of Technology (RIT). This project is funded by aNational Science Foundation Scholarships in Science Technology & Math (S-STEM; NSFAward No. 1930313) awarded in 2020. The SD-COMETS program is a comprehensive programaimed at increasing enrollment of economically disadvantaged, academically talented students inET academic programs at RIT, with targeted recruitment of underrepresented groups. The projectis designed to increase first and second year persistence, known to be the critical years for degreecompletion. Using a research based approach, factors in the engineering education
fourprimary literature databases: ERIC, Engineering Village, Scopus, and conference proceedings ofthe American Society for Engineering Education using the following keywords: “asset-based”and “engineering”. Search results were then augmented using Google Scholar and twosystematic reviews related to asset-based frameworks in STEM (FoK [7] and CCW [9]),respectively. Those articles that met any one of the following criteria were included in thisreview: 1. The study includes evidence of assets for one or more certain student population(s) or, 2. The study includes asset-based practices for teaching and learning engineering or engineering design in any educational setting or, 3. The study includes conceptual ideas or general suggestions