theassessment of instructors, parents and other professional observers (one of the observers had a doctorate ineducation) during 2006-07. Table 1 Learning level (Basic, Intermediate, Advance), underlying STEMS areas (S, T, E, M), expected impact (Low, Normal,High), learner interest (Low, Normal, High), possible audience types (Families, Children, Adults, College Students, Teachers,Professionals, Underserved, Retired, Boy Scouts, Hobbyists and Explorers), and possible locations (Museum, Science &Technology Center, Community Center, Mall and Shopping Center, Library, Websites, After-School Locations). Gen. Learning STEM Expected Learner Audience Possible Unique Aspect Area
paper is based on teaching at theundergraduate/graduate (formal) and K-12 (informal) levels. It may be pointed out that no formal educationresearch was conducted to generate the Table 1. Thus, the data provided here is qualitative and is based on theassessment of instructors, parents and other professional observers (one of the observers had a doctorate ineducation) during 2006-07. Table 1 Learning level (Basic, Intermediate, Advance), underlying STEMS areas (S, T, E, M), expected impact (Low, Normal,High), learner interest (Low, Normal, High), possible audience types (Families, Children, Adults, College Students, Teachers,Professionals, Underserved, Retired, Boy Scouts, Hobbyists and Explorers), and possible locations (Museum, Science &
paper is based on teaching at theundergraduate/graduate (formal) and K-12 (informal) levels. It may be pointed out that no formal educationresearch was conducted to generate the Table 1. Thus, the data provided here is qualitative and is based on theassessment of instructors, parents and other professional observers (one of the observers had a doctorate ineducation) during 2006-07. Table 1 Learning level (Basic, Intermediate, Advance), underlying STEMS areas (S, T, E, M), expected impact (Low, Normal,High), learner interest (Low, Normal, High), possible audience types (Families, Children, Adults, College Students, Teachers,Professionals, Underserved, Retired, Boy Scouts, Hobbyists and Explorers), and possible locations (Museum, Science &
Development of an Online Statics Homework System Franco Capaldi1Since the late 1990’s, there has been an explosion of web based platforms for the submission and grading ofhomework. There are many advantages to online homework submission including (1) students obtain immediatefeedback, (2) they can be used to randomize questions and eliminate blatant cheating, and (3) they can be used toprovide just in time tutorials and information when needed. Many online homework systems such as WebAssign,CAPA, and Blackboard offer a wide range of question types such as multiple choice question formats, fill in theblank, and numerical answer evaluation. However, in the field of engineering, obtaining the
(ICETECT), 2011 International Conference on. and Documentation). The VINT project, 47. [23] Nananukul, S., Koodli, R., & Dixit, S. (2000, 2000). Controlling[8] Gadkar, A., & Plante, J. (2011, 5-9 Dec. 2011). Dynamic Multicasting short-term packet loss ratios using an adaptive pushout scheme. Paper in WDM Optical Unicast Networks for Bandwidth-Intensive presented at the High Performance Switching and Routing, 2000. Applications. Paper presented at the Global Telecommunications ATM 2000. Proceedings of the IEEE Conference on. Conference (GLOBECOM 2011), 2011 IEEE. [24] Norlund, K., Ottosson, T
-intensity ABAtreatment, which focuses on skills like language and social TABLE I. DATASET DESCRIPTIONinteraction, and better outcomes such as higher IQ scores and Feature Name Descriptionsuccess in general education. The research also highlightedkey factors like treatment intensity, supervision, age, andgender in optimizing learning. Neural networks were found A1 S/he often notices small sounds when others do not (score 1 for definitely/slightly agree)to be valuable in predicting mastery of specific learningobjectives and enhancing
/Hypothesis: This work-in-progress study is investigating if embedding somaticlearning in curricula increases self-efficacy in undergraduate students enrolled in engineeringcourses.Design/Method: To begin this line of pedagogical inquiry and innovation, a novelsix-session remote training program was developed for an introductory engineering designcourse that served as an initial experimental group. Each session was developed to investigatea core experience in Liedtka et. al.’s design process framework [5]: Immersion, Sensemaking,Alignment, Emergence, Imagining, and Learning in Action. Students participated in activitiesthat both: elicited physical, emotional, and cognitive experiences commonly experienced inengineering design projects; and practiced
of growth mindsets than their White peers,yet they also reported lower levels of fixed mindsets [13]. Said differently, Ge et al.’s [13] cross-sectional study showed that White engineering students demonstrate a higher predispositiontowards a growth mindset and a higher predisposition towards endorsing a fixed view of theirabilities. An exploratory study aimed at understanding the relationship between students’engineering identity and mindsets longitudinally found that both a fixed and a growth mindsetwere positive predictors of identity [14]. However, the authors did acknowledge that there may bemoderating effects not considered in the model, such as course difficulty, that may also helpexplain the positive relationships [14]. The studies
. The use of accreditation panels thus provides another example of the way in whichknowledge is preserved by those in power and there is a need to involve people with a varietyof perspectives and experiences within accreditation panels [56].LOs are typically enforced by the structures and systems present within HE, for example byorganization of knowledges into distinct modules timetabled in isolation from one another.This can be considered to result in compartmentalized of knowledge. The formation of ‘silos’tends to restrict the use of knowledge to within specific domains and “limit(s) opportunitiesfor them (students) to learn about the strengths and limitations [of disciplines] in real-worldcontexts and multidisciplinary arenas” [62]. This, of
the percentage of thestudents who submitted each of the lab assignments, for one section of the lectures and onesection of the labs, with the same instructor. There was a total of 6 lab assignments during Fall2018 (F’18) and Spring 2019 (SP’19). Starting Fall 2019 (F’19), we introduced additional labassignments. In Table 1, we are providing the mapping of the labs used in F’18 and S’19, to thenew labs used in F’19, Spring 2020 (S’20), and Fall 2020 (F’20) for consistency. The labassignments are mapped based on the complexity of implemented designs, language constructsused, and level of tool skills needed. We will continue to use the names for new labs (1 - 8). Percentage of submitted labs
motivation and positive engagement [11], [28]-[30]. Onthe contrary, controlling teacher behaviors have been shown to lead to negative motivation typesand restricted engagement [31], [32]. Using structural modeling, Fortier et al. (1995) demonstratethe positive influence of perceived competence and self-determination on autonomousmotivations and academic performance [7]. Greene et al. (2004) illustrate linkages betweenautonomy support and self-efficacy, mastery goals, strategy use, and achievement [33]. Walkeret al.’s path model shows that self-efficacy and intrinsic motivation can predict meaningfulcognitive engagement, while extrinsic motivations predict shallow cognitive engagement [8].Although empirical research that directly links different
formation from the elemental metal and hydrogen. (Both processes aredemonstrable with this simple apparatus) Consider the hydride formation reaction: H2(g) + M(s) MH2(s) The enthalpy change from right to left (reverse step) is the enthalpy of desorption, Hd, ofhydrogen from the hydride. This is also the enthalpy of decomposition, to give back the elementshydrogen and metal, which in turn is the negative of the heat of formation, Hf. The Clausius-Clapeyron equation for such a phase change is dP/P= (-Hd/RT2) dT Integration from a reference state (Po,To) to (P, T) and rearrangement yields: ln (P) = -Hf/RT + [ Hf/RTo + ln (Po) ] The standard free energy change Go is
of the engineering workforce.Margaret B. Bailey, Rochester Institute of Technology (COE) Margaret Bailey is Professor of Mechanical Engineering within the Kate Gleason College of Engineer- ing at RIT and is the Founding Executive Director for the nationally recognized women in engineering program called WE@RIT. She recently accepted the role as Faculty Associate to the Provost for Female Faculty and serves as the co-chair on the President’s Commission on Women. She began her academic career as an Assistant Professor at the U. S. Military Academy at West Point, being the first woman civil- ian faculty member in her department. Margaret maintains a research program in the area of advanced thermodynamic analyses and
increased active learning in programs topromote student success. Improving students’ abilities in engineering graphics benefits theengineering field by establishing a larger prepared workforce. A limitation of this study is thatnot all metrics possess an equal number of responses which can enable a balanced comparison ofresults. Further limitations include the characteristics of the institutions at which the studyapplied. Engineering degree programs and communities vary across the nation. How studentsreact at these two universities may vary from how students at other institutions react to the samemodel.References[1] Mason, G. S., Shuman, T. R., & Cook, K. E. (2013). Comparing the effectiveness of an inverted classroom to a traditional
Paper ID #39593Development of Lean Six Sigma Competencies through Guided LearningSequencesDr. Gibr´an Sayeg-S´anchez, Tecnologico de Monterrey (ITESM) Dr. Gibr´an Sayeg-S´anchez is professor – consultant in the Science Department in Tecnologico de Mon- terrey, Puebla campus. He studied a PhD in Financial Science in EGADE Business School (2016), a MSc in Industrial Engineering in Tecnologico de Monterrey (2011), and a BEng in Industrial and Systems En- gineering in Tecnologico de Monterrey (2006). Dr. Sayeg-S´anchez has more than 11 years of experience in teaching statistics, mathematics, and operations research; and more
teaching courses.Therefore, instead of using coding to present commonness, our strategy is to present acomprehensive picture that can capture different ideas. The main qualitative tacticsused include noting patterns/relations, building logical evidence, and makingcontrasts [25]. The interviews were conducted in Chinese, quotations were selectedand translated into English. The translation was confirmed with the interviewees. Table 2. The information of participants Years of teaching Participants Major Teaching course(s) * University
in an academic support program(ACADSUPP; 0=no, 1=yes). We operationalize belongingness in out-of-class experiences withthe sense of belonging construct (SENSE_BELONG; continuous) and a variable measuring thefrequency of students’ interactions with close friends at their college (FRIENDS; 0=twice a termor less, 1=one to two times a month, 2=at least weekly).Table 2Model components (and related construct [28]) and survey items [26], [27] Model components Item/s (construct or survey) Precollege characteristics & experiences Gender Sex of respondent; Survey choices: Female, Male Financial resources Parents’ income
state of the literature in aspecific area without using formal quality examination in the inclusion or exclusion criteria [6].An ScR may also indicate whether conducting a systematic review would be appropriate [7].2.1 The Scoping Review Protocol. During the initial phase of the ScR, the research team must becritically reflective of the process, re-visiting prior stages to ensure that the final review meetsthe project's desired scope and research questions. The research team currently consists of anengineering librarian, two literature reviewers, and one content expert. Arksey and O'Malley'smethodology informed thedevelopment of the scoping review ScR S age Ob ec e O c
Education: An Afterword to the Special Issue. Journal of Pre-College Engineering Education Research(J-PEER), 12(2), Article 12.https://doi.org/10.7771/2157-9288.1387[3] Alemdar, M., Moore, R., & Ehsan, H. (2021). Call for Papers: A Special Issue of the Journal of Pre- CollegeEngineering Education Research on ‘‘The Impact of Covid-19 on Pre-College Engineering Education’’. Journal ofPre-College Engineering Education Research (J-PEER), 11(2), 1.[4] Ribeiro, L. M., Cunha, R. S., Silva, M. C. A. E., Carvalho, M., & Vital, M. L. (2021). Parental involvementduring pandemic times: Challenges and opportunities. Education Sciences, 11(6), 302.[5] Simpson, A., & Knox, P. N. (2022). Children’s Engineering Identity Development Within an At
that a waiver wasgranted to the ship’s owner allowing the ship to sail with an open lifeboat. The lack of adequatelifesaving equipment was identified as one of the root causes in the loss of life. Students focusedon utilizing the engineering design process to design an improved lifesaving protocol process, alifeboat equipment system appropriate for this type of ship, and finally, a policy that mandatedcapable lifesaving equipment be onboard for any voyage. Data Students learned that the dangerous listing of the ship (leaning to one side) would haveprevented the lifeboat(s) from being released and launched into the water with the davit systemutilized by the El Farro. While the open lifeboats
real time feedback to alleviate cognitiveload, increasing flexibility and personalization of the learning and teaching process.AcknowledgementThis material is based upon work supported by the National Science Foundation in the U. S. undergrants number DRL-1535307 (PI: Perez) and DRL-1818758 (PI: Sorby). Any opinions, findings,and conclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation. References[1] L. L. Thurstone, Primary mental abilities, Chicago: University of Chicago Press, 1938.[2] J. Schneider and K. S. McGrew, "The Cattell-Horn-Carroll theory of cognitive abilities.," in Contemporary Intellectual
, Teacher, Role Model, Friend: On Being a Mentor to Students in Science and Engineering. Washington, DC: The National Academies Press, 1997. doi: 10.17226/5789.[4] E. C. Carey and D. E. Weissman, “Understanding and Finding Mentorship: A Review for Junior Faculty,” J. Palliat. Med., vol. 13, no. 11, pp. 1373–1379, Nov. 2010, doi: 10.1089/jpm.2010.0091.[5] A. H. Farkas, E. Bonifacino, R. Turner, S. A. Tilstra, and J. A. Corbelli, “Mentorship of Women in Academic Medicine: a Systematic Review,” J. Gen. Intern. Med., vol. 34, no. 7, pp. 1322–1329, Jul. 2019, doi: 10.1007/s11606-019-04955-2.[6] K. E. Foote and M. N. Solem, “Toward better mentoring for early career faculty: results of a study of US geographers
, MT, NV, OR, UT, WA, WYResultsThe descriptive research study surveyed 780 individuals (643 CSWPs and 137 CSWEs) locatedwithin the United States, of which 193 (24.74%) provided some feedback (answering allquestions was not mandatory) and met all inclusion criteria. The respondents were primarilyeducated (unlicensed) white males between the age of 26 to 54, who worked for corporations ingeneral engineering fields (see Table 2). Figure 1 shows the diversity and number ofcertifications held by the respondents and Figure 2 shows approximately when respondentsattempted a SOLIDWORKS certification exam(s).Results show that 88.89% of respondents perceive that, in general, a SOLIDWORKScertification is valuable (i.e., has relative worth, utility, or
are first-generation low-income students [18],[29], [30]. Participant selection will also be based on open-ended responses from the survey, particularlythose we are likely to glean the most information about our study [31].The design of the interview protocol will be influenced by Liddell et al.'s Survey of Early CareerSocialization in Student Affairs used in their study of professional identity [32]. The semi-structuredinterviews will be conducted online via Zoom and recorded before the audio files are professionallytranscribed and analyzed in NVIVO. We will employ a constructivist phenomenological approach whenexamining the data to explore how participants interpreted their experiences and characterize theirpreparation and persistence in
national and international conferences, scientific journals, and books. Stan serves as a reviewer and a member of program committees for a number of national and international conferences. During his academic career, Stan received over seven million dollars in funding from private and federal sources. ©American Society for Engineering Education, 2023 Using Agile Principles for Cohort Building in a Graduate Software Engineering ProgramAbstractThis report describes an approach to building a cohort of students in a graduate softwareengineering program supported by the Scholarships in Science, Technology, Engineering, andMathematics (S-STEM) Program of the National
the Science and Engineering Road Show mobile lab and creates programs for local youth to educate and entertain with hands-on projects to challenge students’ engineering and science skills.Tala Katbeh, Texas A&M University at Qatar Tala Katbeh is a STEM Instructor and Program Coordinator at Texas A&M University at Qatar (TAMUQ) where she applies her enthusiasm for engineering to create curricula and engineering courses for school students. Katbeh is currently also pursuing her PhD at Texas A&M University, having graduated from TAMUQ with a BSc and MSc both in chemical engineering.Hassan Said Bazzi, Texas A&M University at Qatar Dr. Hassan S. Bazzi is the senior associate dean for research and
demonstration on gas-holdup parameter4. References[1] T. Kluyver et al., “Jupyter Notebooks—a publishing format for reproducible computational workflows,” Positioning and Power in Academic Publishing: Players, Agents and Agendas - Proceedings of the 20th International Conference on Electronic Publishing, ELPUB 2016, pp. 87–90, 2016, doi: 10.3233/978-1- 61499-649-1-87.[2] S. Palkovits, “A Primer about Machine Learning in Catalysis – A Tutorial with Code,” ChemCatChem, vol. 12, no. 16, pp. 3995–4008, 2020, doi: 10.1002/cctc.202000234.[3] P. M. Forster et al., “Current and future global climate impacts resulting from COVID-19,” Nat Clim Chang, vol. 10, no. 10, pp. 913–919, 2020, doi: 10.1038/s41558-020-0883-0.[4
/TheLinkWing.pdf. [Accessed Dec. 26, 2022][2] E. Beheshti, D. Weintrop, H. Swanson, K. Orton, M. Horn, K. Jona, and U. Wilensky, “Computational thinking in practice: How STEM professionals use CT in their work,” in American Education Research Association Annual Meeting, San Antonio, TX, Apr., 2017.[3] J. Malyn-Smith, I. Lee, F. Martin, S. Grover, M. Evans, and S. Pillai, “Developing a framework for computational thinking from a disciplinary perspective, “ in Proceedings of the International Conference on Computational Thinking Education, International Conference on Computational Thinking Education, Hong Kong, HK, Jun., 2018.[4] L. Hood and L. Rowen, “The human genome project: big science transforms
students who took the survey were also satisfied with the program as indicatedby the 77% of survey respondents who agreed or strongly agreed that they would apply to be inthe ImageSTEAM program again. More than half of the students agreed or strongly agreed theywould recommend someone like them to attend the ImageSTEAM program (62%).AI workshops, in this paper, are viewed as problem-solving events using critical thinking toexplore ways and methods to improve learning using available tools. A comprehensive paperwill be made, when the third and final workshop is made in summer 2023. Lessons learned fromthe workshop experiences will be shared with the community.Acknowledgement: The authors thank the U. S. National Science Foundation for sponsoring