Paper ID #39843How Students’ Efforts Outside of the Classroom Correlate to TheirLearning Outcome in Both Online and Face to Face ClassesDr. Lawretta C. Ononye, State University of New York, Canton Lawretta C. Ononye is an Associate Professor of Physics and Engineering in the School of Engineering Technology at the State University of New York (SUNY) in Canton. She is a recipient of the 2014 State University of New York Chancellor’s Award for Excellence in Scholarship and Creative Activities. Re- cipient of the 2010 National Science Foundation (NSF) S-STEM Grant Award in the amount of $596,160 in which she served as the
Paper ID #36715Environments Affecting Black Student Thriving in Engineering (BSTiE)Stephanie A Damas, Clemson University Stephanie Ashley Damas is currently a graduate student at Clemson University studying to get her Ph.D. in Engineering and Science Education. Her area of interest is Diversity and Inclusion in Engineering. She holds a bachelorˆa C™s degree in electrical engiDr. Lisa Benson, Clemson University Lisa Benson is a Professor of Engineering and Science Education at Clemson University, and the past editor of the Journal of Engineering Education. Her research focuses on the interactions between student
Paper ID #37936ICT-Mediated STEM for the Inclusive Education of Migrants and RefugeesChildrenJuan Sebasti´an S´anchez-G´omez, Universidad El Bosque Doctoral student of PhD in Industrial and Systems Engineering at Universidad de los Andes (Colombia).Maria Catalina RamirezAndrea Herrera, Universidad de los Andes, Columbia ©American Society for Engineering Education, 2023 ICT-mediated STEM for the inclusive education of migrants and refugees’ children Juan Sebastián Sánchez-Gómez1,2,3, María Catalina Ramirez Cajiao2 y Andrea Herrera3 1
paper. Further, this workwas supported by the Ira A. Fulton School of Engineering, Arizona State University. Anyopinions, findings, conclusions, or recommendations expressed in this material are those of theauthor(s).References[1] C. Goodenew, “Classroom belonging among early adolescent students,” J Early Adolesc., vol. 13, pp. 21–43, 1993, doi: https://doi.org/10.1177/0272431693013001002.[2] C. Wilson and J. Secker, “Validation of the Social Inclusion Scale with Students,” Soc. Incl., vol. 3, no. 4, Art. no. 4, Jul. 2015, doi: https://doi.org/10.17645/si.v3i4.121.[3] S. Hurtado and D. F. Carter, “Effects of College Transition and Perceptions of the Campus Racial Climate on Latino College Students’ Sense of Belonging,” Social. Educ
. Morales, y S. V. Soto, «Predicting School Failure and Dropout by Using Data Mining Techniques», IEEE Rev. Iberoam. Tecnol. Aprendiz., vol. 8, n.o 1, pp. 7-14, feb. 2013, doi: 10.1109/RITA.2013.2244695.[2] S. Lee y J. Y. Chung, «The Machine Learning-Based Dropout Early Warning System for Improving the Performance of Dropout Prediction», Appl. Sci., vol. 9, n.o 15, p. 3093, jul. 2019, doi: 10.3390/app9153093.[3] A. Mayra y D. Mauricio, «Factors to predict dropout at the universities: A case of study in Ecuador», en 2018 IEEE Global Engineering Education Conference (EDUCON), Tenerife: IEEE, abr. 2018, pp. 1238-1242. doi: 10.1109/EDUCON.2018.8363371.[4] A. Del Savio, K. Galantini, y A. Pachas, «Exploring the relationship between
’ career aspirations and expectationsIntroductionIn the last decade the representation of women at the undergraduate engineering level has slowlybut steadily increased, reaching 24% Canada-wide in 2020 [1]. At the institution providing thesetting for the present study women now make up nearly 40% of the undergraduate cohortsuggesting a promising trend toward gender equity. However, representation of women amonglicensed Professional Engineers (P.Eng.) has not kept pace, with women comprising only 20% ofnewly licensed Canadian P.Eng.’s each year and just 14% of Professional Engineers overall [2-3]. This representation gap in the profession is compounded with the low rates of licensureamong engineering graduates in
andcolleagues [17] suggested that researchers use SCCT to study the influences on specific aspectsof higher education student development to identify supports and barriers to this process.One study that has used SCCT to theorize identity development at the university level guides thiswork; it is Barbarà-i-Molinero et al.’s [18] integrative conceptual framework on the factors thatinfluence the professional identity development of higher education students. Researchersconducted a review with experts that identified influencing factors on professional identitydevelopment for higher education students and shared a framework for influences onprofessional identity development of higher education students, including expected outcomes,social experience
://doi.org/10.1016/j.compedu.2016.02.002.[4] M. Wilkerson, V. Maldonado, S. Sivaraman, R. R. Rao, and M. Elsaadany, "Incorporating immersive learning into biomedical engineering laboratories using virtual reality," Journal of Biological Engineering, vol. 16, no. 1, p. 20, 2022/08/08 2022, doi: 10.1186/s13036-022- 00300-0.[5] S. Robert, "Biomedical Engineering Virtual Circuit Simulation Laboratories," presented at the ASEE Annual Conference & Exposition, Honolulu, Hawaii, 2007/06/24, 2007. [Online]. Available: https://peer.asee.org/2171.[6] P. D. Ryan, M. Dominik, and T. G. Cheryl, "WIP: Pilot Study for the Effect of Simulated Laboratories on the Motivation of Biological Engineering Students
ideologies [3]; these perspectives are also alignedwith Radoff et al.’s description of narrow thinking [13]. Previous research has looked at howundergraduate engineering students align with these common narratives in interviews and focusgroups with students [10, 13], surveys [19], student classwork [15], and whole class discussions[7, 14]. The four common narratives that are pertinent to this study are technocracy, free marketidealism, technological neutrality, and technological determinism.Technocracy is a decision making approach guided by the belief that all problems can andshould be solved through technology [21]. Here, technological solutions are privileged, oftenwith little consideration of the social, political and historical context of the
“researchevaluation” was discussed as the topic continues to develop rapidly. However, the authors didnot articulate any opportunities around research intelligence as a data-driven service; rather, thefocus rested on opportunities around advising and educating others to view research metricsmore comprehensively rather than on a narrow set of metrics. No mention was made of activelyparticipating in a service to aid in strategic decision making, nor building teams around suchservices [2]. On the other hand, a more recent report from the often-consulted Ithaka S+R teamstate in “It’s Not What Libraries Hold; It’s Who Libraries Serve,” that academic libraries must“center on the user” and “must be completely re-architected to provide modern businessintelligence
Paper ID #39362Elaboration of a contextualized event for teaching eigenvalues andeigenvectors in the control and automation engineering courseJuliana Martins Philot, Instituto Mau´a de Tecnologia - Brazil I hold a B.A. in Mathematics from Universidade Estadual Paulista J´ulio de Mesquita Filho - UNESP (2007), a M.Sc. in Mathematics from Universidade Estadual Paulista J´ulio de Mesquita Filho - UNESP (2010) and a Ph.D. in Mathematics Education from Pontif´ıcia Universidade Cat´olica de S˜ao Paulo - PUC- SP (2022). I have experience in Mathematics Teaching for Engineering courses since 2009 and currently I am a
more interested in lean skills, while in the MEP and structural tracks, there is moreinterest in skills such as design management. Figure 3b also shows that more cutting-edge technology, suchas AR/VR technology, is much smaller and not important for some disciplines (i.e., structural). Comparison of Hired Disciplines Comparison of Desired skills Fig: 3a Fig: 3bFigure 3: Surveyed Responses of hired disciplines and their desired skills group by three discipline tracks. The next part of Survey 2’s data collected looked at characteristics that may affect success and howthe AE curriculum creates competencies. As Figure 4 shows, it is
Education: Innovations and Research, vol. 22, no. 4. Oct. 2021.[7] K.P. Goodpaster, O.A. Adedokun, and G.C. Weaver, “Teachers’ perceptions of rural STEM teaching: Implications for rural teacher retention,” The Rural Educator, vol. 33, no. 3, pp. 9-22. 2012. [Online]. Available: https://scholarsjunction.msstate.edu/ruraleducator/vol33/iss3/2/v33i3.408[8] S. L. Hartman, “Academic coach and classroom teacher: A look inside a rural school collaborative partnership,” The Rural Educator, vol. 38, no. 1, pp. 16-29. 2012. [Online]. Available: https://scholarsjunction.msstate.edu/ruraleducator/vol33/iss3/2/[9] R. S. Harris and C. B. Hodges, “STEM education in rural schools: Implications of untapped potential
statistical analyses toaddress complex and nuanced research questions important to the field. Our results are consistent with Borrego et al. (2009), highlighting the importance ofquantitative methods in engineering education research. Nevertheless, our results alsodocumented the prevalence of using all quantitative, qualitative, and mixed methods in JEE, asasserted in Borrego et al. (2009). Finally, our results echo Borrego et al. (2009)’s call for usingadvanced quantitative research methods beyond the boundary of disciplinaries, as many of theadvanced methods originated from other social sciences fields. While the excessive reliance onbasic descriptive statistics is still common, our results underscore joint efforts made byengineering
University Gregory S. Mason received the B.S.M.E. degree from Gonzaga University in 1983, the M.S.M.E. de- gree in manufacturing automation from Georgia Institute of Technology in 1984 and the Ph.D. degree in mechanical engineering, specializing in multi-rate digitalDr. Teodora Rutar Shuman, Seattle University Professor Teodora Rutar Shuman is the Chair of the Mechanical Engineering Department at Seattle Uni- versity. She is the PI on an NSF-RED grant. Her research also includes electro-mechanical systems for the sustainable processing of microalgae. Her work is published in venues including the Journal of Engineering Education, IEEE Transactions on Education, International Journal of Engineering Educa- tion
. Perkins, J. Gesun, M. Scheidt, J. Major, J. Chen, E. Berger, and A. Godwin, “Holistic wellbeing and belonging: attempting to untangle stress and wellness in their Impact on sense of community in engineering,” International Journal of Community Well-Being, vol. 4, no. 4, pp. 549-580, 2021, doi: 10.1007/s42413-021-00149-z.[4] K. J. Jensen, E. M. Johnson, J. F. Mirabelli, and S. R. Vohra, “CAREER: Characterizing Undergraduate Engineering Students’ Experiences with Mental Health in Engineering Culture” in 129th ASEE Conference, Minneapolis, MN, 2022, https://peer.asee.org/41926.[5] K. J. Jensen, S. R. Vohra, J. F. Mirabelli, A. J. Kunze, I. M. Miller, and T. E. Romanchek, “CAREER: Supporting Undergraduate
, and a published author. He is a former McNair Scholar, National Academies of Sciences, Engineering, & Medicine-Ford Foundation Fellow, Herman B. Wells Graduate Fellow, Inter- national Counseling Psychologist, former Assistant Professor at the University of Kentucky, and current Post-Doctoral Research Scholar at the University of Pittsburgh. Dr. Z.’s research program focuses on examining the impact of intersectional oppression on historically excluded groups & creating culturally relevant interventions to enhance their well-being. Within this framework, he studies academic persis- tence and mental wellness to promote holistic healing among BIPOC. He earned Bachelor’s degrees in Psychology &
). The Fourth Industrial Revolution. Currency; Illustrated edition. ISBN-10 : 9781524758868. 192 pages. 2. Accreditation Board for Engineering and Technology (ABET). (2021). Criteria for Accrediting Engineering Programs, 2022 –2023. 51 pages. https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineeri ng-programs-2022-2023/ 3. F. Z. Moser. 2007. "Faculty Adoption of Educational Technology". Educause Quarterly. Nov. 1, 2007. 66-69. 4. N. P. Wingo, N. V. Ivankova, and J. A. Moss. 2017. "Faculty Perceptions about Teaching Online: Exploring the Literature Using the Technology Acceptance Model as an Organizing Framework." Online Learning. 21(1), 15-35. S. Y. Yousafzai, G. R
. Borneman, J. Littenberg-Tobias, and J. Reich, “Developing Digital Clinical Simulations for Large-Scale Settings on Diversity, Equity, and Inclusion: Design Considerations for Effective Implementation at Scale,” in Proceedings of the Seventh ACM Conference on Learning @ Scale, Virtual Event USA: ACM, Aug. 2020, pp. 373–376. doi: 10.1145/3386527.3405947.[4] S. Kaka et al., “Digital Simulations as Approximations of Practice: Preparing Preservice Teachers to Facilitate Whole-Group Discussions of Controversial Issues,” no. Journal of Technology and Teacher Education, Mar. 2021, doi: 10.35542/osf.io/95gyd.[5] M. Thompson, K. Robinson, Y. Kim, J. Reich, and K. Owho-Ovuakporie, “Teacher Moments: an online platform for
interpersonalconflicts.Acknowledgements: This work is supported by the National Social Science Fund of China(AIA220013).References Brown P R, Matusovich H M. Career Goals, Self-Efficacy and Persistence in Engineering Students. IEEEFrontiers in Education Conference (FIE), 2016. Chenchen Zhu and Luze Han. 2021. CV chatbot based on “STAR” method. In Proceedings of HumanInterface Technologies 2020/21 Winter conference (CPEN541). ACM, Vancouver, BC, Canada, 6 pages. Choi D S, Loui M C. Grit for Engineering Students. IEEE Frontiers in Education Conference (FIE), 2015. David D. Woods. Four concepts for resilience and the implications for the future of resilience engineering [J].Reliability Engineering and System Safety,2015(141):5-9. French B.F, Immekus J C, Oakes
. Furthermore, monitoring factors such astemperature, humidity, pH, and algae nutrients is vital for the maximum biomass yield.How to calculate energy yield• The number of algae that is produced: This can be calculated using the following equation: Algae biomass (g) = Light intensity (μmol/m2/s) x Photosynthetic efficiency (%) x Culture volume (L) x Culture period (days) as per Brennan et al.[1]• The energy content of the algae: The energy content of algae varies depending on the species,but it is typically around 20-40% of the dry weight.• The efficiency of the biofuel production process: This can be calculated using the followingequation: Biofuel yield (L/kg) = (Algae dry weight (kg) x Energy content (kJ/kg)) / Energy content
differentiate fromsources in my normal reference list (e.g. [A27] instead of [27]). For in-text citations, I only usethe generic term ‘authors’ when referring to the writers of a text, never the author’s or authors’last name(s). Finally, for the few articles quoted twice, I have assigned them a unique number foreach quote. While this does introduce redundancy to the reference list, it avoids drawingadditional attention to the articles in-text.Structural useThe structural use category characterizes articles based on how neurodiv* was used relative tothe article’s purpose. In other words, it describes what role neurodiv* played in the article. Thiscategory consists of four usage groups: casual, minor context, major context, and focus. Iassigned each
Percentage of participants Coping strategy Coping strategy using strategy (N=55) using strategy (N=55) Music/art/performance/ Alcohol use 11% (n = 6) 4% (n = 2) movies (not at home) Caffeine use 5% (n = 3) Pet(s) 7% (n = 4) Eating to relax 35% (n = 19) Planning or scheduling 24% (n = 13) Errands/shopping 4% (n = 2) Reading 16% (n
consider it to be the appropriate time to share said details. However, future publicationswill discuss data collection and analysis in more detail.AcknowledgementThe material is based upon work supported by the NSF 2217477. Any opinions, findings, andconclusions or recommendations expressed in this material do not necessarily reflect those of theNSF.ReferencesAmerican Association of University Professors (AAUP). 2018. https://www.aaup.org/news//data-snapshot-contingent-faculty-us-higher- ed#.YKqu9ahKg2wvAn, S. 2016. “Asia Americans in American History: An AsianCrit Perspective on Asian American Inclusion in State and U.S. History Curriculum Standards, Theory, and Research in Social Education.” Theory and Research in Social
follow-up mentoring toensure the long term dissemination of the benefits of Boyer’s model.AcknowledgementsThe authors wish to thank Dr. Angela Bielefeldt for her active support of this workshop.Furthermore, the authors wish to thank the organizers, students, and staff who provided asafe and successful AEESP conference in 2022 at Washington University in St. Louis!References 1. D. Boyer, Scholarship Reconsidered: Priorities of the Professoriate. Farnam, UK: Jossey-Bass, 1997. 2. D. Sedlak, “Crossing the imaginary line,” Environ. Sci. Technol., vol. 50, pp. 9803-9804, 2016. 3. J. Mihelcic, “What line?” Environ. Sci. Technol., vol. 51, pp. 1055, 2017. 4. M.A. Edwards and S. Roy, “Academic research in the 21st century
an interdisciplinary group. The Civil Engineering professors at theuniversity reviewed the students´ applications. They selected a team of six members: three civilengineering juniors, a first-year student, an architecture student, and a graphic design student.The team also had the participation of a faculty advisor and a weekly meeting of consultants forquestions. The team had three weeks to develop the idea and prepare a solution, from initialbrainstorming to video production. The advisor supervised, guided, and supported the student´swork, which allowed the team to choose different viewpoints and approaches that maximizedthe student´s strengths working as a team. One objective was to guide the team to workinterdisciplinary, allowing every
created overlaysonto the real-world machines within their cleanroom facility.[11] Their AR software currently didnot have a “training” aspect to it yet, but exemplifies the exciting possibilities of how these ever-expanding extended reality technologies can be applied within the nanofabrication industry. Itshould be noted that virtual and augmented reality solutions are used extensively in otherindustries. An example is the use of augmented reality in surgery [12] with new developments inHead’s Up Displays progressing rapidly. These would allow the surgeon(s) to stay focused on theprocedure without having to look at multiple screens to interpret digital images, patient data andprogress. Similarly, oil and gas industries are increasingly adopting
learners to participate in an inclusive, productive, and engaging classroomenvironment is for instructors to embed a Culturally Responsive-Sustaining (CR-S) framework. TheCulturally Responsive framework proposes creating student-centered learning environments that affirmcultural identities; foster positive academic outcomes; develop students’ abilities to connect across lines ofdifference; elevate historically marginalized voices; empower students as agents of social change; andcontribute to individual student engagement, learning, growth, and achievement through the cultivation ofcritical thinking [18]. Ladson-Billings introduced the term culturally relevant pedagogy over two decadesago based on her research on effective teachers of African