, 1991, p. 138. doi: 10.1017/CBO9780511815355.[14] D. Hamman-Fisher and V. McGhie, “Towards decoloniality of the education training and development third-year curriculum: Employing situated learning characteristics to facilitate authentic learning,” Cogent Educ., vol. 10, no. 2, p. 2237301, Dec. 2023, doi: 10.1080/2331186X.2023.2237301.[15] K. M. Bursic and C. J. Atman, “Information Gathering: A Critical Step for Quality in the Design Process,” Qual. Manag. J., vol. 4, no. 4, pp. 60–75, Jan. 1997, doi: 10.1080/10686967.1998.11919148.[16] M. Basadur, G. B. Graen, and S. G. Green, “Training in creative problem solving: Effects on ideation and problem finding and solving in an industrial research organization,” Organ
” forreporting “Male/Female/Non-binary Gender/Another Gender or Unknown” [7]. Please see the 2016report of the Integrated Postsecondary Education Data System (IPEDS) Technical Review Panel(TRP) discussion on gender for additional context [8]. References 1. S. L. Eddy and S. E. Brownell, “Beneath the numbers: A review of gender disparities in undergraduate education across science, technology, engineering, and math disciplines,” Phys. Rev. Phys. Educ. Res., vol. 12, no. 2, p. 020106, Aug. 2016, doi: 10.1103/PhysRevPhysEducRes.12.020106. 2. M. Bahnson, C. Cass, H. L. Perkins, M. A. Tsugawa-Nieves, and A. Kirn, “WIP: A Case for Disaggregating Demographic Data,” presented
] Available: https://www.texastribune.org/2021/07/26/texas-covid-19-delta/ (accessed Jan. 19, 2022).[2] S. Jaschik, “Delta variant raises questions for colleges about reopening plans,” Inside Higher Ed, 2021. [Online] Available: https://www.insidehighered.com/news/2021/08/16/delta-variant-raises- questions-colleges-about-reopening-plans (accessed Jan. 19, 2022).[3] C. Mooney and B. A. Becker, “Investigating the impact of the COVID-19 pandemic on computing students’ sense of belonging,” in 52nd ACM Technical Symposium on Computer Science Education, 2021, vol. 12, no. 2, pp. 38–45, doi: 10.1145/3463408.[4] M. Pownall, R. Harris, and P. Blundell-Birtill, “Supporting students during the transition to university in
Subaward Agreementwith the Louisiana Space Grant Consortium (LaSPACE).” References1. Radhwan, H., Shayfull, Z., Abdellah, A. E. H., Irfan, A. R., & Kamarudin, K. (2019). Optimization parameter effects on the strength of 3D-printing process using Taguchi method. In AIP Conference Proceedings (Vol. 2129, No. 1, p. 020154). AIP Publishing LLC.2. Oropallo, W., & Piegl, L. A. (2016). Ten challenges in 3D printing. Engineering with Computers, 32(1), 135-148.3. Prabhakar, M. M., Saravanan, A. K., Lenin, A. H., Mayandi, K., & Ramalingam, P. S. (2021). A short review on 3D printing methods, process parameters and materials. Materials Today: Proceedings, 45, 6108-6114.4. Chan
, Departments and Programs. Washington, DC: American Society for Engineering Education, 2016.2. B. N. Geisinger and D. R. Raman, “Why they leave: Understanding student attrition from engineering majors”, International Journal of Engineering Education, vol. 29, pp. 914-925, 2013.3. J. Roy, Engineering by the Numbers. Washington, DC: American Society for Engineering Education, 2019.4. X. Chen, C. E. Brawner, M. W. Ohland, and M. K. Orr, “A taxonomy of engineering matriculation practices”, in 120th ASEE Annual Conference and Exposition, 2013.5. D. C. Howell, Statistical Methods for Psychology, 5th edition. Pacific Grove, CA: Duxbury, 2002.6. S. W. Raudenbush and A. S. Bryk, Hierarchical Linear Models: Applications and Data Analysis. Thousand
StudentAchievement in Multiple STEM Disciplines”. It should be noted that the opinions, results andconclusion or recommendations expressed are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References[1] L. Ah-Nam and K. Osman, “Developing 21st Century Skills through a Constructivist- Constructionist Learning Environment. K-12 STEM Education,” Inst. Promot. Teach. Sci. Technol., vol. 3, no. 2, pp. 205–216, 2017.[2] S. Guzey and G. Roehrig, “Teaching Science with Technology: Case Studies of Science Teachers’ Development of Technological Pedagogical Content Knowledge (TPCK),” Contemp. Issues Technol. Teach. Educ., vol. 9, no. 1, pp. 25–45, 2009.[3] D. S. Niederhauser and D. L. Lindstrom
, from https://www.gutenberg.org/files/37423/37423-h/37423-h.htm7. Bellaera, L., Weinstein-Jones, Y., Ilie, S., & Baker, S. T. (2021). Critical thinking in practice: The priorities and practices of instructors teaching in higher education. Thinking Skills and Creativity, 41, 100856.8. Burton, E., Goldsmith, J., & Mattei, N. (2015, January). Teaching AI Ethics Using Science Fiction. In Aaai workshop: Ai and ethics.9. Skirpan, M., Beard, N., Bhaduri, S., Fiesler, C., & Yeh, T. (2018, February). Ethics education in context: A case study of novel ethics activities for the CS classroom. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education (pp. 940-945).10. Bielefeldt, A. (2022
Education. My eventual goal is to address the ever-growing need of a better education system in Pakistan.Dr. Diana Bairaktarova, Virginia Polytechnic Institute and State University Dr. Diana Bairaktarova is an Assistant Professor in the Department of Engineering Education at Virginia Tech. Through real-world engineering applications, Dr. Bairaktarovaˆa C™s experiential learning research spans from engineering to psychology to learningBeyza Nur Guler, University of California, Irvine Beyza Nur Guler is a senior civil engineering student at University of California, Irvine specializing in structural engineering, with an interest in engineering education. ©American Society for Engineering Education
the secretary.Soon, we aim to advance the digital correction process by automating the phase of entering andexporting notes by introducing a handwriting recognition algorithm and automatic export of notesin the Excel file. The entry of notes on Moodle, done manually for the moment by the teacher willalso be automated.The tool will then take advantage of the data generated on a per-question basis and providepersonalized statistics to students. Histograms of the global results distribution can be printed onthe front page of the corrected digital copies, with the group average and the student’s resultidentified. Per-question results can also be printed using boxplots, giving students quantifiedfeedback.References[1] S. Facchin, La rétroaction
, no. 1. Wiley- Blackwell Publishing Ltd, pp. 6–27, 2012. doi: 10.1002/j.2168-9830.2012.tb00039.x.[9] K. G. Ricks, J. A. Richardson, H. P. Stern, R. P. Taylor, and R. A. Taylor, “An Engineering Learning Community To Promote Retention And Graduation Of At-Risk Engineering Students,” 2014.[10] M. J. Grimm, “Work in progress - An engineering bridge program - the foundation for success for academically at-risk students,” in Proceedings - Frontiers in Education Conference, FIE, 2005. doi: 10.1109/fie.2005.1612214.[11] S. J. Gates Jr and C. Mirkin, “Encouraging STEM students is in the national interest,” Chron High Educ, vol. 58, no. 39, 2012.[12] Florida International University (FIU
. Department of Education, National Center for Education Statistics. 3. Berkner, L., Horn, L., and Clune, M. (2000). Descriptive Summary of 1995–96 Beginning Postsecondary Students: Three Years Later (NCES 2000–154). U.S. Department of Education, NCES. Washington, DC: U.S. 4. Ross-Gordon, J. M. (2011). Research on adult learners: Supporting the needs of a student population that is no longer traditional. Peer Review, 13 (1), 26 – 29. 5. Choy, S. (2002). Nontraditional Undergraduates (NCES 2002-012). National Center for Education Statistics, U.S. Department of Education. Washington, DC. 6. Goncalves, S. A., & Trunk, D. (2014). Obstacles to success for the nontraditional student in higher education. Psi Chi Journal
Group.Komarraju, M., Karau, S. J., Schmeck, R. R., & Avdic, A. (2011). The big five personality traits, learning styles, and academic achievement. Personality and Individual Differences, 51(4), 472-477.Mapp, S. C. (2012). Effect of short-term study abroad programs on students' cultural adaptability. Journal of Social Work Education, 48(4), 727-737.Mezirow, J. (1991). Transformative dimensions of adult learning. San Francisco: Jossey-Bass.National Academy of Engineering of the National Academies [NAENA] (2020). The engineer of 2020: Visions of engineering in the new century. Retrieved from http://www.nae.edu/Programs/Education/Activities10374/Engineers of2020.aspx (01/12/2020)National Academics of Science, Engineering and
. Moore M., Binkerd C., Fant S, 2002, “Teaching web-based database application development: an inexpensive approach”, Journal of Computing in small colleges, 17(4), March 2002 5. Frontier Surveying, 710 Buffalo St. Suite 401, Corpus Christi, TX. Phone: (361) 881-8044; Pyle & Associates INC, 5262 S Staples St, Corpus Christi, TX. Phone: (361)993-4191; Maverick Engineering INC, 2000 SPID, Corpus Christi, TX. Phone: (361) 289-1385. Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference Texas A&M University-Corpus Christi Copyright © 2005, American Society for Engineering EducationChandrika RaoDr. Rao is a visiting Assistant Professor of
impact on our undergraduate Biomedical Engineering students. Our team isconducting a continuing, longitudinal study to track the short-term (survey data, and IPapplications) and long-term (via exit survey and job placement data, awarded patents)performance of this clinical observations course.References:[1] A. E. Felder, M. Kotche, S. Stirling, and K. M. Wilkens, “Interdisciplinary Clinical Immersion: from Needs Identification to Concept Generation,” ASEE Annual Conference and Exposition, Conference Proceedings, vol. 2018-June, Jun. 2018, doi: 10.18260/1-2-- 30699.[2] B. Przestrzelski and J. D. DesJardins, “The DeFINE Program: A Clinical Immersion for Biomedical Needs Identification,” in 2015 ASEE Annual Conference &
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
-ton [23]. III. DEI S TUDENT A MBASSADOR P ROGRAM AT S EATTLE U NIVERSITY In this section, we first give background about our institution, followed by a summary of our previouswork. We then describe the organization and structure of the DEI Student Ambassadors program. Weconclude the section with details about the specific events and activities that the DEI Student Ambassadorsorganized.A. Seattle Unviersity Seattle University is a small, private, religiously-affiliated and mission-driven institution located inSeattle, WA. Our urban campus is home to eight colleges and schools. One of them is the College ofScience and Engineering (CSE) which hosts eight departments. CSE is in the midst of a multi-yearproject to develop programs
’ 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
search criteria. The phrase “engineer” was used as the primary searchcriteria because the results would return articles containing “engineering” as well. The secondsearch criteria was to search “by Title”, under the assumption that title words are specificallychosen to indicate key topics and ideas within an article. Whereas a search of abstracts wouldreturn articles with engineering as an axillary topic (e.g. if the article references STEMdisciplines). The third search criteria was to look from 2009 to 2019, in order to get a sense ofcurrent issues or topics of interest. The following information of each article was recorded into aspreadsheet: journal name, author(s), article title, publication year, & abstract. Journals thatreturned zero
the format they taught in prior to the pandemic. Therefore, buy-in from faculty as wellas the provision of necessary training and resources is critical to achieve positive teaching andlearning experiences for faculty and students, respectively. Further studies are needed toinvestigate innovative and effective hybrid modes of delivery that result in high levels of studentengagement, satisfaction, and performance.References[1] S. M. Kissler, C. Tedijanto, E. Goldstein, Y. H. Grad, and M. Lipsitch, "Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period," Science, vol. 368, no. 6493, pp. 860-868, 2020.[2] R. Watermeyer, T. Crick, C. Knight, and J. Goodall, "COVID-19 and digital disruption in UK