-class activities such as video lectures, text-based materials, and online exercises and quizzes, in-class activities including methods such astraditional lectures, reviews of pre-class assignments, and active learning exercises, and post-classactivities such as quizzes or other homework exercises [4]. According to a meta-study performed byKarabulut-Ilgu interest in the technique was first observed the early 2000’s and, beginning around 2011,academic interest has grown rapidly, evidenced in both conference proceedings and journal publications[5]. Several substantial meta-studies have been published in the past few years attempting to distill theresults of this near decade of study [4-6]. While a distillation of relevant aspects of these studies
can vary by regions because of their proximity togeographic locations close to AI sectors (e.g. Pittsburgh or Silicon Valley) that have a highimpact on the communities/culture. Therefore, there is a necessity to expand this study with alarger population of participants from various ethnic backgrounds, professions and regions.AcknowledgmentThis research is funded by the National Science Foundation NSF DUE #1941782. Any opinions,findings, or conclusions found in this paper are those of the authors and do not necessarily reflectthe views of the sponsor.References(1) Nadelson, L. S.; Seifert, A. L. Integrated STEM Defined: Contexts, Challenges, and the Future; Taylor & Francis, 2017.(2) Boston, M. D.; Smith, M. S. A ‘Task-Centric
held accountable, but have no formal authority to execute. Likewise, authorityand responsibility, without accountability, promotes subjectivity in decision making.Enrichment, Empowerment, Responsibility and Accountability [1, p. 6]A fee-based self-funded organization has to be particularly attuned to any organizationalexpenditures that might impact the overhead rates for the organization. Overhead rates for anadministrative self-funded organization are an additional burden against gross revenue thatresults in a reduced profit/residual to the academic department(s); the home department foradministered academic programs.Coupling the need for controlling overhead rates with the theoretical employment vulnerabilitiesof being employed in a self
Societal Impact and Increase Diversity in Bioengineering.” American Society for Engineering Education Annual Conference, Columbus, OH. (2017) [05] M. Mollica, H. Feldner, A. Caspi, K. Steele, S. Israel, and D.G. Hendricks. “Toy Adaptation for Recruitment of Underrepresented Students to Bioengineering.” American Society for Engineering Education Annual Conference, Salt Lake City, UT. (2018) [06] M.Y. Mollica, A.M. Spomer, B.M. Goodwin, S. Israel, A. Caspi, H.A. Feldner, K.M. Steele, and D.G. Hendricks. “Engagement in Practice: Toy Adaptation for Children with Disabilities: Engaging the Community through Educational Outreach and Toy Donation”, American Society for
faculty who attend an OTNworkshop and write a review ultimately intend to adopt an OER for their course(s) [15].Much of the discussion of OER use in STEM disciplines focuses on the implementation of OERin high enrollment introductory courses [16]. Hendricks et al. utilized the Physics 100 course intheir study because it is a large enrollment, introductory course, and they were already revisingthe course and reorganizing course learning materials [6]. At the University of California Davis,ChemWiki was piloted as a replacement for a traditional textbook in one general chemistrycourse. Researchers found that students in the pilot section had comparable overall performancewith students in the control section and self-reported spending more time
theiracademic unit but not in their discipline, and “Comparable” to faculty in other departments intheir College.Finally, participants were asked to rate the following possible impediments on their likelihood ofinfluencing the tenure process: • Teaching load requirements, • Expectation of peer-reviewed journal publications, • Service expectations, • Availability of funds for research in their fields • Appreciation for area of research by tenure review committee(s) • Competition within department for funds, • Availability of Teaching Assistants (TA) to assist with grading, • Availability of students to employ as researchers, • Quality of students to employ as researchers, • Availability of faculty mentoring
. Eng. Educ. 2015, 23, 846–853.[9] Vergara, D., Rubio, M.P., and Lorenzo, M., “Multidisciplinary methodology for improving students’ spatialabilities in technical drawing,” Sci. J. Educ. Technol. 2015, 5, 1–8. 39.[10] Villagrasa, S., Fonseca, D., and Durán, J., “Teaching case: Applying gamification techniques and virtual realityfor learning building engineering 3D arts,” Proceedings of the Second International Conference on TechnologicalEcosystems for Enhancing Multiculturality, Salamanca, Spain, 1–3 October 2014; ACM: New York, NY, USA, pp.171–177.[11] Fletcher, C., Ritchie, J. M., and Lim, T., “Virtual machining and expert knowledge capture. Paper presented atDigital Engagement 2011, Newcastle, United Kingdom. Mujber, T. S., T. Szecsi, and
inaugural Faculty Associate for Mobile Learning. He has a Ph.D. in Mechanical Engineering from the University of Wyoming (Laramie, Wyoming). He has approximately 25 publications/presentations. He is a member of the American Society for Engineer- ing Education (ASEE). He is the recipient of David S. Taylor Service to Students Award and Golden Apple Award from Boise State University. He is also the recipient of ASEE Pacific Northwest Section (PNW) Outstanding Teaching Award, ASEE Mechanical Engineering division’s Outstanding New Edu- cator Award and several course design awards. He serves as the campus representative (ASEE) for Boise State University and as the Chair-Elect for the ASEE PNW Section. His academic research
showed very positive agreement that the content and skillsfrom the TWC were applied and developed at the internship, and that they were able to return toclassroom with enhanced communication skills and knowledge. Considering these factors, it iseasily concluded that students are making the important connection between their TWC coursematerials and their necessity in the engineering field.Questions 4 and 5’s relatively high scores indicate that students are attributing educational valueto their internship experiences. Students are gaining a motivation for deeper engagement withtheir TWC course as they see a direct application of content in their internships. Moreover,students are gaining a better understanding of the professional skill set of
results generated, the students’ perception is that ALEKS helped them tobetter perform in the class by reviewing the math pre-requisite knowledge.REFERENCES[1] R. Zaurin, "Preparing the Engineering Student for Success with IDEAS: A Second YearExperiential Learning Activity for Large-size Classes," in Proceedings of the 125th AmericanAssociation of Engineering Education National Conference (125th ASEE-2018), Salt Lake City,2018.[2] S. A. Ambrose, M. W. Bridges, M. DiPietro, M. C. Lovett and M. K. Norman, HowLearning Works: 7 Research-based Principles for Smart Teaching., San Francisco, CA: Jossey-Bass., 2010.[3] L. Santiago, "Retention in a First-Year Program: Factors Influencing Student Interest inEngineering," in 120th ASEE Annual
Construction Accidents: A China Perspective," Adavanced Management in Civil Engineering Projects, vol. 2018, p. 15, 2018.[4] V. Mawdesley and M. J. Thevendran, "Perception of human risk factors in construction projects: an exploratory study.," International Journal of Project Management, vol. 22, no. 2, pp. 131-137, 2004.[5] S. G. Naoum, "Factors influencing labor productivity on construction sites: A state-of-the- art literature review and a survey," International Joural of Productivity and Performance Management, vol. 65, no. 3, pp. 401-421, 2016.[6] D. R. Kouabenan, R. Ngueutsa and S. Mbaye, "Safety climate, perceived risk, and involvement in safety management," Safety Science, vol. 77, pp. 72-79, 2015.[7] N. Xia, Q. Xie, X
meant thatthe students received different kinds of support to engage with the engineering practices. Theresults from this study can inform future research on the kinds of educative materials neededwithin engineering and other NGSS-based curricula as well as professional development forupper-elementary teachers to enact whole-class discussions focused on increasing students’ability to engage in engineering practices.ReferencesAranda, M. L., Lie, R., Guzey, S. S., Makarsu, M., Johnston, A., & Moore, T. J. (2018). Examining teacher talk in an engineering design-based science curricular unit. Research in Science Education, 1-19.Arastoopour, G., Chesler, N. C., & Shaffer, D. W. (2014). Epistemic persistence: A simulation
an era of constrained resources, it is far more cost-effective tosystematically replicate effective solution(s); when programs rise to the fore with strong, provenresults, it makes sense to ask whether that success can be institutionalized, reproduced, scaled up,or customized to new settings. In an effort to facilitate the transfer of knowledge aboutsuccessful implementation of strategies and approaches, as well as about evidence-basedpractices, from one state institution to another, this article describes the process of developingand adopting these two programs to support URMs at one state-funded institution.According to the Council of Graduate School’s 2015 Doctoral Initiative on Minority Attritionand Completion Report, “the problem of
. 16References[1] T. F. Budinger and M. D. Budinger, Ethics of Emerging Technologies: Scientific Facts and Moral Challenges. Hoboken, New Jersey: Wiley, 2006.[2] G. C. Andrews, P. Shaw, and J. McPhee, Canadian Professional Engineering and Geoscience Practice and Ethics. Nelson College Indigenous, 2018.[3] A. Jamison and M. Heymann, “Historical Tensions in Engineering Education: European Perspectives,” in Engineering, Development and Philosophy, H. S. Christensen, C. Mitcham, B. Li, and Y. An, Eds. 2012, pp. 183–196.[4] J. C. Lucena, “Flexible engineers: History, challenges, and opportunities for engineering education,” Bull. Sci. Technol. Soc., vol. 23, no. 6, pp. 419–435, 2003.[5] U. Jørgensen, “Tensions in
Paper ID #28669Assessing Grassroots Engineering Applications in BrazilDr. Cristiano Cordeiro Cruz, Aeronautics Technological Institute I currently develop a post-doctorate research at the Aeronautics Technological Institute (ITA) with a schol- arship from FAPESP (#2018/20563-3). I hold a PhD degree in Philosophy (University of S˜ao Paulo, 2017), a bachelor degree in Philosophy (Jesuit Faculty of Philosophy and Theology, 2008), a master degree in Electrical Engineering (University of Campinas, 2002), and a bachelor degree in Electrical Engineering (University of Campinas, 1999). My research area encompasses philosophy of
GST implementation. Change in demand pattern due to market conditions. Situational issues Increase in production capacities Key stake Holders S&S, OBL, Finance, TransportersThe project focused on reorganizing the distribution network for 2 wheelers (motorcycles) givena major change in the tax structure of India. The new tax code presented a potential forsignificant reduction in logistics costs. An example of the pre-project distribution centreconfiguration is provided in Figure 5. Given the scope of the project, improvements made to thenetwork would have substantial business impact, which was realized. A table illustratingestimated financial impact is provided in Table 2. Figure
research. International Journal of Listening. 22 (2), 141-151.[4] Trevelyan, J. 2014. The Making of an Expert Engineer. CRC Press.[5] Crumpton-Young, L. Pamela McCauley-Bush, L Rabelo, K Meza, A Ferreras, B. Rodriguez, A. Millan, D. Miranda, M. Kelarestani, 2010, “Engineering leadership development programs: a look at what is needed and what is being done.” Journal of STEM Education, 11 (3/4), 10-21[6] Wikoff, K., J. Friauf, H. Tran, S. Reyer, O. Petersen. 2004. Evaluating the communication component of an engineering curriculum: A case study. American Society for Engineering Education (ASEE) Annual Conference & Exposition, Session 2004-2532, 8 pp.[7] American Society of Civil Engineers (ASCE). 2019. Civil Engineering Body
(s) Source STEM area Population focus Design conception Social justice conception Educational focus Non-formal education: “advocacy for those in our society who areAcharya 12 medical practitioners Training in contextual L Health sciences User-centered economically, socially, politically
middle-school teachers and their students for theirparticipation in this study.References[1] T. Lai Poh Emily, C. Albert, T. Pei-Wen, I. M. Chen, and Y. Song Huat, “A Review on the Use of Robots in Education and Young Children,” Journal of Educational Technology & Society, vol. 19, no. 2, pp. 148-163, 2016.[2] M. E. Karim, S. Lemaignan, and F. Mondada, “A Review: Can Robots Reshape K-12 STEM Education?,” in IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO), 2015, pp. 1-8.[3] S. E. Jung and E. S. Won, “Systematic Review of Research Trends in Robotics Education for Young Children,” Sustainability, vol. 10, no. 4, Art. no. 905, 2018.[4] S. Papert, Mindstorms: Children, Computers
mastery of 21st-century skills isimportant to promote the advancement of STEM education and learners’ success in thisfield (Bybee, 2010; Eguchi, 2016). In other words, if a teacher can develop students’ 21st-century skills, the students are more likely to be successful in STEM fields in the future.RQ2: How situational are teachers’ subjective theories of troublemaking behaviorand troublemakers? According to participants, “being defiant” is an all-agreed troublemaking behavior.This indication was supported by P2’s perceptions that students now have more behaviorissues, and that teachers are losing respect from students or parents. Previous researchersalso pointed out that disobedience was the most unacceptable student behaviors forteachers (Sun
) Overall, I found Part 2 helped me understand why ... 1. duplication can make code hard to understand 2. duplication can make code hard to modify 3. E XTRACT C USTOM B LOCK can make code easy to understand 4. E XTRACT C USTOM B LOCK can make code easy to modify5 Results and DiscussionOn average, it took 50 minutes per participant to complete the entire study (tutorial and survey). Weprovided minimal help to some participants via a live support feature of our online study website.Most of the help was given for the tutorial tasks prior to the refactoring tasks, in which participantswere asked to fill in the missing parts to complete Part 2’s objective (basic-slides). Next, we presentthe analyses and their results and discuss how they
sciences, mathematics, and physical and life sciences, but also psychology and socialsciences. Seventeen million U.S. workers are considered part of the skilled technical workforce[16]. For engineers alone, this value has risen from 2.11% of the U.S. population in 2005 to2.71% in 2018 [17]. Additionally, the number of people connected to technology continues toincrease, as previously cited herein. It is therefore the authors’ assessment that the size of thepopulation of those involved with or affected by technology has both increased and become moremultidisciplinary.A study of the diversity portion of this prediction indicates that diversity has increased slightlyamong the U.S. science and engineering (S&E) workforce, although women and
advocate for anexpansion of this work nationally, employing additional and more rigorous research methods,larger data sets and transdisciplinary collaboration and analysis.References[1] S. Neal and R. Wellins, “Generation X — not millennials — is changing the nature of work,”CNBC, New York, NY. [online] https://www.cnbc. com/2018/04/11/generation-x--notmillennials--is-changing-the-nature-ofwork.html: Apr 11, 2018.[2] K. Schwab, The Fourth Industrial Revolution. Crown Publishing, New York, NY: 2016.[3] D. Pistrui, and D. Kleinke, “Industry 4.0 & the Talent Pipeline,” Technology in IndustryReport, Troy, MI: Automation Alley, 2018, pp. 8-18.[4] D. Pistrui, D. Kleinke, R. Bonnstetter and E. Gehrig, “Emerging Trends & Traits Shaping theIndustry
modalities of governance as operatingsimultaneously, and sometimes in tension. This is compatible with the ecological and systemsoriented perspective from which we chose to study engineering education governance. Giventhat this is a work in progress, where we seek to develop our ideas in dialogue with our audience,we will close the paper with these sparse concluding remarks. We welcome all those who readthis paper to send us your thoughts (and any case studies that you are willing to share with us) byemailing any of the authors starting with the project PIs: akeraa@rpi.edu, rac039@rpi.edu,riley@purdue.edu.References[1] Akera, A., Appelhans, S., Cheville, A., De Pree, T., Fatehiboroujeni, S., Karlin, J., Riley, D.M., ABET & engineering
active classrooms,” in 123rd ASEE Annual Conference & Exposition, 2016.[5] T. F. Nelson Laird, R. Shoup, G. D. Kuh, and M. J. Schwarz, “The effects of discipline on deep approaches to student learning and college outcomes,” Res. High. Educ., vol. 49, no. 6, pp. 469– 494, 2008.[6] E. P. Douglas, “Student construction of knowledge in an active learning classroom,” ASEE Annu. Conf. Expo., 2011.[7] D. L. Evans et al., “Tools for assessing conceptual understanding in the engineering sciences,” Front. Educ. Conf., p. 7803, 2002.[8] T. Pinarbaşi, N. Canpolat, S. Bayrakçeken, and Ö. Geban, “An investigation of effectiveness of conceptual change text-oriented instruction on students’ understanding of solution
. 2016-June, 2016.[16] N. A. Mamaril, E. L. Usher, C. R. Li, D. R. Economy, and M. S. Kennedy, “Measuring Undergraduate Students’ Engineering Self-Efficacy: A Validation Study,” J. Eng. Educ., vol. 105, no. 2, pp. 366–395, 2016.[17] S. R. Porter and M. E. Whitcomb, “Non-response in student surveys: The role of demographics, engagement and personality,” Res. High. Educ., vol. 46, no. 2, pp. 127– 152, 2005.[18] C. A. Lundberg, L. A. Schreiner, K. Hovaguimian, and S. Slavin Miller, “First-Generation Status and Student Race / Ethnicity as Distinct Predictors of Student Involvement and Learning,” NASPA J., vol. 44, no. 1, p. 57, 2007.[19] M. C. Manley Lima, “Commuter Students’ Social Integration : The Relationship
data analysis appropriate for this data. Table 1: Effect Coding of Independent Variables for Linear Regression Models Characteristic Variable Name(s) Effect Coding Gender Gender Male = -1; Female = 1 Race/Ethnicity URM White = -1; Asian = 0; Other (URM) = 1 Father, Mother, or both have College Degree = -1 Family of Origin First-Generation Neither Father or Mother have College Degree = 1 U.S. or permanent resident = -1 Country of Origin International