Scope of interventionEuropean Journal of Engineering Education 6 Engineering education 21Computer Applications in Engineering Education 3 Computer Science 7International Journal of Engineering Education 3 K-12 engineering 6IEEE Transactions on Education 2 34Journal of Engineering Education 2 Location of the authors'Journal of Systems and Software 2 institution(s)Advances in Engineering Education
, and data collection documents and procedures were available inboth Spanish and English languages for youth participants and their guardians. We followedOMSI guidelines for collecting, managing, and analyzing data in two languages (e.g., more thanone researcher is fluent in Spanish and English, instrument development includes members ofLatino communities, data is collected in participants’ preferred language(s) and is kept in thesource language throughout the analysis).Data collectionObservationA one-page form was used to gather observation data. The form prompted observers to recordthe size and make-up of the visitor group, the date and time of day, and the name of the exhibit.Once a visitor interacted with the exhibit, observers recorded the
LLC is only for first-year students, the factors and skillsets participants learn stay with them their remaining time atFAMU.References[1] K., Inkelas, J.E. Jessup-Anger, M. Benjamin, and M.R. Wawrzynski, (2018) Living LearningCommunities that work: A research-based model for design, delivery, and assessment. StylusPublishing, LLC.[2] K. Inkelas, Z. E., K. E., Daver, Vogt, and J., Leonard, (2007). Living–Learning Programsand First-Generation College Students’ Academic and Social Transition to College. Research inHigher Education, 48(4), 403-434. doi: 10.1007/s11162-006-9031-6[3] K. Inkelas, M. Soldner, S. Longerbeam, and J. Leonard (2008). Differences in StudentOutcomes by Types of Living–Learning Programs: The Development of an Empirical
. 738–743.[4] L. J. Shuman, C. Delaney, H. Wolfe, A. Scalise, and M. Besterfield-Sacre, “Engineering attrition: Student characteristics and educational initiatives,” in Proceedings of the American Society of Engineering Education, 1999, pp. 1–12.[5] S. P. Nichols and N. E. Armstrong, “Engineering entrepreneurship: Does entrepreneurship have a role in engineering education?,” IEEE Antennas Propag. Mag., vol. 45, no. 1, pp. 134–138, 2003.[6] P. Shekhar, A. Huang-Saad, J. Libarkin, R. Cummings, and V. Tafurt, “Assessment of student learning in an entrepreneurship practicum course,” 2017.[7] T. P. James, E. Rose Morehouse, and T. P. James, “Employer Perceptions of Undergraduate Student Entrepreneurial
. Cook received her doctorate in Social and Personality Psychology from the University of Washington, with a minor in quantitative methods and emphases in cognitive and educational psychology. Her research has included classroom learning, identity, and person perception.Dr. Gregory Mason P.E., Seattle 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 digital controls, from the University of Washington in 1992. He worked in a robotics lab for the Department of Defense for five years after receiving his
virtual summer seminar. This seminar was moderated byAditya Johri, one of the editors of the Cambridge Handbook of Engineering Education Research(CHEER). In this series of 15 seminars, 32 CHEER authors engaged in a one-hour discussionwith Johri to elicit their current views on the topics highlighted in their chapters. As part of theintroduction to each seminar, Dr. Johri asked the author(s) how they entered the field of EER.The findings from the analysis of this secondary data are used to develop a framework to helpanswer the research question: How did current engineering education researchers enter thefield? This is the first step in our major research goal, which aims to investigate what institutionscan do to attract and retain EER
support systems, suggesting the sequencing of three phases whenconducting a Live on Facebook. A) Planning, where the Live Transmission is designed anddefined, generates an advance with the topics discussed, published/promoted in the same socialnetwork. B) Transmission begins with the expert (s) presentation and guests' presentation andtakes advantage of the options for reactions and comments to direct the Live Transmissioncontent and make it even more relevant. C) The post-broadcast when it must ensure that the LiveTransmission recording is available for future views.In the field of languages and culture, Ross [4] shows how the crisis has fundamentally alteredteaching methods, which is why a shift towards remote teaching is required in Harvard
] M. Simmons, G. Parchoma, M. Jacobsen, D. Nelson, and S. Bhola, “Designing for studentengagement in an online doctoral research methods course. Proceedings of the IDEAS:Designing for Innovation. pp. 81–91, 2016.[3] P. Nuangchalerm, T. Polyiem, and P. Wongchantra, “Learning achievement, science processskills, and moral reasoning of ninth grade students learned by 7E learning cycle andsocioscientific issue-based learning. Australian Journal of Basic and Applied Sciences, vol. 5,no. 10, pp. 257-564, 2011.[4] S.J. Baldwin and J.H. Trespalacios, “Evaluation instruments and good practices in onlineeducation,” Online Learning, vol. 21, no. 2. pp. 1-18. doi:10.24059/olj.v21i2.913, 2017.[5] P. K. Gibson and T. Kinsey, “Need we train online
, "Community Engagement in Engineering Education: Needs and Learning Outcomes," in Developments in Engineering Education Standards: Advanced Curriculum Innovations: IGI Global, 2012, pp. 301-317.[8] E. A. Davis, A. S. Palincsar, A. M. Arias, A. S. Bismack, L. Marulis, and S. Iwashyna, "Designing educative curriculum materials: A theoretically and empirically driven process," Harvard Educational Review, vol. 84, no. 1, pp. 24-52, 2014.[9] V. Svihla, T. Kubik, and T. Stephens-Shauger, "Performance assessment practice as professional learning," Interdisciplinary Journal of Problem-based Learning, vol. 13, no. 2, 2019.[10] P. Freire, Pedagogy of the oppressed. New York, NY: Herder and Herder, 1970.[11] L. T. Smith
differences and technology acceptance model in a blended learning scenario,” Comput. Educ., vol. 63, pp. 306–317, Apr. 2013. [2] C. J. Asarta and J. R. Schmidt, “Access patterns of online materials in a blended course,” Decision Sci. J. Innov. Educ., vol. 11, no. 1, pp. 107–123, 2013. [3] H. M. S. Ahmed, “Hybrid e-learning acceptance model: Learner perceptions,” Decision Sci. J. Innov. Educ., vol. 8, no. 2, pp. 313–346, 2010. [4] S. Djenic, R. Krneta, and J. Mitic, “Blended learning of programming in the Internet age,” IEEE Trans. Educ., vol. 54, no. 2, pp. 247–254, May 2011. [5] D. Szafir and B. Mutlu, “ARTFuL: Adaptive review technology for flipped learning,” in Proc. SIGCHI Conf. Human Factors Comput. Syst
that we have only four heavy atoms (i.e.,carbon, nitrogen, oxygen, and sulfur) and four positions in which they can be located. Thepurpose of the circuit is to identify one atom for each of these four positions with the highestprobability to form a molecule with a good fit for binding to the protein. Our four heavy atoms(C, N, O, and S) can inhabit four positions (44) which can be encoded as 256 uniquecombinations of molecules. Rather than checking all 256 possibilities one-by-one as a classicalcomputer would require, we leverage entanglement and superposition to check them all at onetime. As is true in our advanced quantum circuit, hydrogen is not encoded. This is becausehydrogen (H) is a light atom. Rather, we assume the presence of
threatvector model. The Threat Modeling framework provides a list of risks that show which threatthe Arduino is exposed to and explores the available mitigation options. The tool creates a threatreport from the threat list as an organized document that displays all threats/mitigations in theenvironment. The STRIDE technique allows users to select from a variety of processes and dataflows. Table 1 below indicates the STRIDE technique type, definition, and proposed mitigationapproach.Table 1: Arduino Mega Board Threat Break Down with Potential Mitigation STRIDE Arduino Arduino Threat Break Down Potential Mitigation Threat S Spoofing Authentication - Attackers, assume Create a solid and long
R. R.Cocking, editors, How People Learn: Brain, Mind,Experience, and School: Expanded Edition. Washington, DC: The National Academies Press,2000. [Online]. Available: https://www.nap.edu/catalog/9853/how-people-learn-brain-mind-experience-and-school-expanded-edition[4] K. Rayner, “Eye movements and attention in reading, scene perception, and visualsearch,” The Quarterly Journal of Experimental Psychology, vol. 62, no. 8, pp. 1457–1506,2009. [Online]. Available: https://doi.org/10.1080/17470210902816461[5] M. Hegarty, Multimedia learning and the development of mental models. Cam- bridge:Cambridge University Press, 2014, p. 673–702.[6] A. M. Madsen, A. M. Larson, L. C. Loschky, and N. S. Rebello, “Differences in visualattention
a GCSP (5.0% (n=1) did not provide enoughinformation to determine their affiliation). Those who were affiliated with a GCSP includeprogram directors, committee members, faculty members, and staff while those who were notaffiliated with a GCSP were either faculty members preparing to start a GCSP at theirinstitution(s) or were unrelated to GCSP. Users were asked to select from a list of options andindicate how they found the online course modules platform. The results show that 40.0% ofusers (n=8) found the modules via the KEEN card on EngineeringUnleashed.com and 40.0% ofusers found the modules via email communication from the NAE GCSP. The modules were alsofound via the KEEN GCSP subnet, forwarded emails/recommendations from colleagues
. ITEST’s engineering projects provide rich examples of what students know,and are able to do, as they explore engineering in and out of school; and provide both students andteachers with opportunities to use cutting edge methods and technologies used in industry, andwork hand-in-hand with engineers on the edge of innovation.This material is based upon work supported by the National Science Foundation under GrantNumbers DRL-1312022, 1614697, and 1949200. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References [1] United States. National Science Foundation, Division on Research and Learning in Formal
, primarily from community colleges in the Gulf Coastregion. Supported by the NSF S-STEM program, the project “Linking Community CollegeStudents to Engineering” offers funding to academically talented students of low income andhaving demonstrated financial need. The University of South Alabama is a public institution andhas reciprocity agreements that grant in-state tuition to students from coastal counties inMississippi and the Florida panhandle. While the LINK scholarship is not limited to studentstransferring from specified institutions, the majority of our transfer students come from fourinstitutions in coastal Alabama, Florida, and Mississippi. Award criteria include an assessmentof student academic performance, especially in mathematics
. Additionally, collecting responses from parentswho generally do not send their children to STEM camps may provide helpful insight into thoseparents’ perceptions about STEM and why they choose not to send their children to those kindsof camps. Gaining some understanding of that may help with the design of future camps toattract students normally not served by those camps.References:[1] Rozek, Christopher S. et al. “Utility-value intervention with parents increases students’STEM preparation and career pursuit.” Proceedings of the National Academy of Sciences 114(2017): 909 - 914.[2] Bahar, Abdulkadir, and Tufan Adiguzel. "Analysis of Factors Influencing Interest in STEMCareer: Comparison between American and Turkish High School Students with High
cultivate classroom equity”, CBE—Life Sciences Education,12(3), pp. 322- 331, 2013.7. R. M. Felder and L. K. Silverman, “Learning & teaching styles in engineering education”. Engineering Education, 78(7), pp. 674-681, 1988.8. E.M. Bensimon, “The underestimated significance of practitioner knowledge in the scholarship on student success”, The Review of Higher Education, 30(4), pp.441-469, 2007.9. S. A. Ambrose, M.W. Bridges, M. DiPietro, M.C. Lovett, and M.K. Norman, How learning works: Seven research-based principles for smart teaching. John Wiley & Sons, 2010.10. D.M. Johnson, and J.A. Fox, “Creating curb cuts in the classroom: Adapting universal design principles to education.” Curriculum transformation and disability
racism withininstitutions. Findings from this study highlight individualized experiences within these structureshelp to define how marginalization is practically occurring, and, ways that progress can be madetowards more inclusive institutions.AcknowledgementsThis work was supported through funding by the National Science Foundation (NSF EEC1752897). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. Additionally, the authors gratefully acknowledge the anonymous reviewers,whose thoughtful feedback on an earlier draft help to sharpen the quality of the present paper.Lastly, we thank the study participants
0.301 0.200 0.615 0.246 0.314 0.0186vocabulary words associated phenomena in apresented for the first hands-on fashion and aretime in your given the appropriate wordsclassroom? as neededIn most cases, how is a The students explore the new 0.491 0.113 0.692 0.121 0.201 0.0422new mathematics concept through a hands-oncontent topic activityintroduced in yourclassroom?Which of the following I basically know all the TEKS 2.81 0.882 3.19 0.642 0.385 0.115best describes how and what they require for myfamiliar you are with subject(s) as well as thethe state standards grades above and below mine.(TEKS)?Which of the
schools will resume in California, this paper shows a series of virtual events to meetthe needs of our K-12 engineering population. ReferencesAfifi, M. K. & Alamri, S. S. (2014). Effective principles in designing e-course in lightof learning technologies. Turkish Online Journal of Distance Education, 15(1), pp. 128-142.Lemke, C., Coughlin, E., & Reifsneider, D. (2009). Technology in schools: What the researchsays. Culver City, CA: Commissioned by Cisco. Retrieved fromhttps://edtechtools.files.wordpress.com/2009/11/technology__in_schools_what_research__says.pdf
expect that at the end of the bootcamps, divided into two sessions –Introductory and Advanced, the attendees will be able to: (1) apply statistical thinking and methodsto identify and diagnose problems and make informed decisions; (2) generate robust decision-making models using biopharmaceutical manufacturing data from upstream and/or downstreammanufacturing operations; and (3) apply software-based tools and scripts (e.g. python) to solve themodel(s) and interpret the results. Learning outcomes were common to introductory and advancedbootcamps and designed to engage attendees with different levels of proficiencies.a Please note thatassessments of outcomes were not performed for the pilot and will be included in future efforts.We delivered the
developed by Evelyn Berezin in the late 1960’s – awoman! She began her education as a major in economics although her favorite subject wasphysics. Since physics was not considered a proper topic for women, she did not show her trueability for some time. At the end of the Second World War, there were many new opportunitiesfor women. She was able to fulfill her true desire to study physics and received her BS inphysics. Her primary interests were in the field of computer use in industry. Her earlycontributions include banking systems and airline reservation systems. She founded a company,Redactron, and developed a system referred to as the “Data Secretary”, the first computerizedword processor to aid the work of typists worldwide. At the time of her
create new scenarios that reflect their topics andlearning objectives.References:[1] S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt, et al., "Active learning increases student performance in science, engineering, and mathematics," Proceedings of the National Academy of Sciences, vol. 111, pp. 8410-8415, June 2014.[2] D. P. Mundy and R. Consoli, "Here be dragons: experiments with the concept of ‘Choose Your Own Adventure’ in the lecture room," Innovations in Education and Teaching International, vol. 50, pp. 214-223, Jan. 2013.[3] V. A. Troutman and M. J. Grimm, "Interactive Digital Experience as an Alternative Laboratory (IDEAL): Creative Investigation of Forensic Biomechanics," J Appl Biomech, pp. 1
. 623-637, 2019.[9] R. W. Roeser, J. S. Eccles and A. J. Sameroff, "School as a context of early adolescents'academic and social-emotional development: A summary of research findings," The ElementarySchool Journal, vol. 100, (5), pp. 443-471, 2000.[10] *E. M. Dell, J. Christman and R. D. Garrick, "Assessment Of An EngineeringTechnology Outreach Program For 4th-7th Grade Girls," American Journal of EngineeringEducation (AJEE), vol. 2, (1), pp. 19-34, 2011.[11] *E. Baran et al, "The impact of an out‐of‐school STEM education program on students’attitudes toward STEM and STEM careers," School Science and Mathematics, vol. 119, (4), pp.223-235, 2019.[12] *M. A. Mac Iver and D. J. Mac Iver, "“STEMming” the swell of absenteeism in themiddle years
laboratoryactivities are very useful, and second, additional student feedback mechanisms, other than gradedlaboratory reports, such as quizzes and poll questions are also really helpful. While thesestatements may seem obvious, this work provides data that in support of them. Future workinvolves a performance analysis via earned grades and correlating this data with the survey results.The authors also plan to continue gathering data and incorporate additional engagementmechanisms into the online laboratory that students can assess in future surveys.References1. T.A. Ghebreyesus. WHO Director‐General's opening remarks at the media briefing onCOVID‐19. https://www.who.int/dg/speeches/detail/who‐director‐general‐s‐opening‐remarks‐at‐the‐media‐briefing‐on‐covid‐19
conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] A. Olewnik et al., “Investigating the Role of Engineering Problem Typology in Helping Engineering Undergrads Effectively Communicate Their Experience,” presented at the ASEE Annual Conference, Montreal, Quebec, Canada, 2020.[2] D. H. Jonassen, “Toward a design theory of problem solving,” Educ. Technol. Res. Dev., vol. 48, no. 4, pp. 63–85, 2000.[3] D. H. Jonassen, “Engineers as Problem Solvers,” in Cambridge Handbook of Engineering Education Research, Aditya Johri and Barbara M Olds, Eds. New York: Cambridge University Press, 2014, pp. 103–118.[4
Manual.” Washington, DC, 2018.[13] Y. Kang, C. Kim, H. Son, S. Lee, and C. Limsawasd, “Comparison of preproject planning for green and conventional buildings,” J. Constr. Eng. Manag., vol. 139, no. 11, pp. 1–9, 2013, doi: 10.1061/(ASCE)CO.1943-7862.0000760.[14] G. W. Flintsch, K. L. S. Bernhardt, Z. Zhang, and S. Tighe, “Enhancing infrastructure management education through collaboration,” ASEE Annu. Conf. Proc., pp. 5151–5159, 2004, doi: 10.18260/1-2--13589.[15] M. Elzomor, C. Mann, K. Doten-Snitker, K. Parrish, and M. Chester, “Leveraging Vertically Integrated Courses and Problem-Based Learning to Improve Students’ Performance and Skills,” J. Prof. Issues Eng. Educ. Pract., vol. 144, no. 4, 2018