R. Yu, “Involvement in out-of-class activities: A mixed research synthesis examining outcomes with a focus on engineering students,” Journal of STEM Education: Innovations and Research, vol. 18, no. 2, 2017.[3] A. L. Miller, L. M. Rocconi, and A. D. Dumford, “Focus on the finish line: Does high-impact practice participation influence career plans and early job attainment?,” Higher Education, vol. 75, no. 3, pp. 489–506, 2018, doi: 10.1007/s10734-017-0151-z.[4] G. Lichtenstein, A. C. McCormick, S. D. Sheppard, and J. Puma, “Comparing the Undergraduate Experience of Engineers to All Other Majors: Significant Differences are Programmatic,” Journal of Engineering Education, vol. 99, no. 4, pp. 305–317, 2010, doi: 10.1002/j
: Interactions that promote innovation," in Innovations 2009: World Innovations in Engineering Education and Research, W. Aung, K.-S. Kim, J. Mecsi, J. Moscinski, and I. Rouse, Eds., ed Arlington, VA: International Network for Engineering Education and Research, 2009, pp. 375-391.[4] V. Svihla, "Collaboration as a dimension of design innovation," CoDesign: International Journal of CoCreation in Design and the Arts, vol. 6, pp. 245-262, 2010.[5] D. H. Jonassen, "Toward a Design Theory of Problem Solving," Educational Technology Research and Development, vol. 48, pp. 63-85, 2000.[6] K. Dorst, "The Design Problem and its Structure," in Analysing Design Activity, N. Cross, H. H. C. M. Christiaans, and K. Dorst, Eds
3/18/18, 4:45 PMWork-in-Progress: Development of a Virtual Reality Educational Game for Waste Management: Attack of the Recyclops1. Introduction Negative impacts of human consumption and waste on the natural environment is a long-researched topic, which led the international scientific confidence in the human-influencedclimate change to reach its highest point (95-100% likelihood) in 2014 [1]–[6]. A significantreason for this impact is the fact that much of the waste ends in landfills, rather than recyclingfacilities. U.S. Environmental Protection Agency (EPA)’s most recent report shows that morethan 50% of the 259-million-ton municipal solid waste (MSW) goes to landfills [7]. This waste,in turn, rots and produces the
that had been tried and thesuccess (or lack thereof) that followed. For example, if change agents are considering alternativepedagogies as an approach to achieve their course goals, they may to investigate the literaturethat supports the efficacy of student-centered pedagogies3,4,13-39.Bar r ier s to ChangeResistance to change is inevitable40,41. Recognizing its inevitability, Mauer34 encourages changeagents to anticipate and address resistance in their plans, rather than be surprised at itsoccurrence and have to improvise. Change agents who are prepared to address commonlyoccurring barriers are likely to be more effective than unprepared change agents.Research by Sunal et al.42 showed that faculty in their survey, which asked respondents
Campbell and Campbell (2000)’s study, they concluded the perceived need of facultyand students (referred as protégé in their article) from mentoring relationships[3]. The facultymentor has perceived needs including the altruistic desire to help students (beyond the helpafforded through assigned teaching and advising), need for evidence of activities demonstratingservice to the university (for tenure and promotion decisions), and opportunity for enjoyment ofthe friendship and relationship with students provided by mentoring. On the other hand, thestudent protégé approaches the relationship with expected needs, including help with schedulingand enrollment decisions, help interpreting degree requirements, career guidance, assistance incoping with
characteristics (basic information about each study), evaluation(method by which the intervention was assessed), outcomes (the main result(s) of the study).Below we describe how articles were screened and selected for inclusion in the database andhow articles were coded. We then present summary data on the 307 articles that were in thedatabase on December 15, 2005, organized, in part, by the major categories mentioned above..We conclude with some observations about the state and quality of engineering educationresearch articles in the database.Article Screening and SelectionArticles were screened and selected for inclusion in the database in two phases. In the first phase(Phase One), articles were culled from chapters 14, 15, 16, and 17 of a draft of
. In D. R. Olson & E. Bialystok (Eds.), Spatial Cognition: The Structure and Development of Mental Representations of Spatial Relations. (pp. 233-259). London: Lawrence Erlbaum Associates.9. Linn, M. C., & Petersen, A. C. (1986). A meta-analysis of gender differences in spatial ability: Implications for mathematics and science achievement. In J. S, Hyde & M. C. Linns (Eds.), The psychology of gender: Advances through meta-analysis (pp. 67-101). Baltimore, MD: Johns Hopkins University Press.10. Verderhus, L., & Krekling, S. (1996). Sex Differences in Visual Spatial Ability in 9-Year- Old Children. Intelligence, 23, 33-43.11.12. Gardner, H. (1993). Multiple intelligences: The theory in practice. New York: Basic
interested in STEM majors atTAMU and community college representatives interested in building relationships for theirstudents to transfer into STEM majors at TAMU. The STEM Conference program includedresource roundtables for students and one-on-one sessions with faculty and staff forrepresentatives.Other activities such as the NSF Scholarship in Science, Technology, Engineering, andMathematics (S-STEM) were used as both recruitment and retention strategies. The S-STEMsprovided community college transfer students research opportunities, academic and professionaldevelopment seminars, scholarship money to assist in funding students’ education without themhaving work commitments, and establishment of cohorts and the resulting social community tohelp
, measures, number of participants, teamsize(s), methods of data collection (survey, interview, etc.), methods of analysis (descriptivestatistics, regression, structural equation modeling, etc.), and conclusions with respect to trust.Conclusions related to the relationship of trust and team success were sorted into “trustdescendant conclusions” and “trust antecedent conclusions.” Descendants of trust are defined asvariables or aspects of teamwork and success directly affected by trust. Antecedents of trust arethose variables or aspects of teamwork and success that directly affect trust within a team.Study SelectionAs shown in Figure 1, the initial search generated 140 studies. The 140 studies initially includedwere reviewed first by their title and
understanding this community. c American Society for Engineering Education, 2017 Quantifying and Assessing Trends on National Science Foundation’s Broader Impact Criterion The American Innovation and Competitiveness Act (S.3084) reapproved the NationalScience Foundation’s (NSF) merit review criteria i.e. Intellectual Merit and Broader Impacts,called for an update of the policy guidelines for NSF staff members and merit review processparticipants, and emphasized the importance of transparency and accountability. EvaluatingProject Summaries based on Intellectual Merit and Broader Impacts has been the standard ofmaintaining excellence and accountability since 1997. Intellectual
Characterize Reform-Oriented Instruction: The Scoop Notebook and Rating Guide. CSE Technical Report 707. National Center for Research on Evaluation, Standards, and Student Testing (CRESST).10. Chambers, J.M., Carbonaro, M., Rex, M., and Grove, S. (2007). Scaffolding knowledge construction through robotic technology: A middle school case study. Electronic Journal for the Integration of Technology in Education, 6, 55-70.11. Eguchi, A. (2010). What is educational robotics? Theories behind it and practical implementation. Proceedings of Society for Information Technology & Teacher Education International Conference, Chesapeake: AACE, pp. 4006–4014.12. Papert, S. (1993). The Children’s Machine: Rethinking Schools in
the National Science Foundation.References Atman, C. J., Kilgore, D., & McKenna, A. (2008). Characterizing design learning: A mixed-‐ methods study of engineering designers' use of language. Journal of Engineering Education, 97(3), 309-326. Bielaczyc, K., & Ow, J. (2014). Multi-player epistemic games: Guiding the enactment of classroom knowledge- building communities. International Journal of Computer-Supported Collaborative Learning, 9(1), 33-62. Bloome, D., Carter, S. P., Christian, B. M., Otto, S., & Shuart-Faris, N. (2004). Discourse analysis and the study of classroom language and literacy events: A microethnographic perspective. Routledge. Cohen, E. G., & Lotan, R. A. (2014). Designing groupwork
0 0 0 0 0 4 4 0 0 0 0 0 4 4 Final 2 4 4 0 4 4 4 0 0 0 0 0 4 0 0 0 Final 3 2 4 4 4 4 4 0 0 0 0 0 4 0 0 4 Final 4 0 4 2 0 0 0 2 2 3 4 4 0 4 0 4 Total 32 32 18 28 24 25 23 15 14 20 21 36 16 12 41 C. Free-body Diagrams. Construct accurate and complete Free-Body Diagram(s) (FBD). Treat distributed forces (e.g., pressure and weight) and point
design.AcknowledgementsThe authors would like to thank Rex Hartson and Doug Bowman for their influence in theoriginal course design and guidance throughout. We also express our appreciation to thestudents who contributed to the development of this research study. Finally, many thanks toLindsay Wheeler for her guidance and reviewing of this work.References[1] J. Pirker, M. Riffnaller-Schiefer, and C. Gütl, “Motivational active learning - Engaging university students in computer science education,” in ITICSE 2014 - Proceedings of the 2014 Innovation and Technology in Computer Science Education Conference, 2014, pp. 297–302.[2] B. Simon, S. Esper, L. Porter, and Q. Cutts, “Student experience in a student-centered peer instruction
-91, 2014.[2] A. McKenna, R. Linsenmeier, and M. Glucksberg, "Characterizing computational adaptive expertise," in 2008 ASEE Annual Conference and Exposition, 2008.[3] J. S. Zawojewski, H. A. Diefes-Dux, and K. J. Bowman, Models and modeling in engineering education: Designing experiences for all students. Sense Publishers, 2008.[4] J. M. Wing, "Computationalthinking," in Communications of the ACM, vol. 49, no. 3, p. 33-35. 2006.[5] U. Ilic, H. I. Haseski, and U. Tugtekin, "Publications trends over 10 years of computational thinking research," in Contemporary Education Technology, vol. 9, no. 2, p. 131-153, 2018.[6] R. Lesh and H. M. Doerr (Eds.). Beyond constructivism: Models and modeling
convincing research gap in the introductory sections of the documents. Table 3shows the themes designated as Broader Impacts. These were determined by the NSF definitionof Broader Impacts, which was included in the Introduction, as well as open coding from theactivities that the participant described as contributing to the broader impact.Table 3: Broader Impacts Themes, Definitions, and Participant Examples Evaluation Criteria: Broader Impacts Theme Definition Example(s)K-12 Education Mention of outreach to “As I did as an undergrad during Engineering for Kids, I willand Outreach school-aged children, expose basic aspects of my
contesting identities of expertise in a heterogeneous learning context. In S. Wortham & B. Rymes (Eds.), Linguistic Anthropology of Education (Vol. 37, pp. 61–91). Westport, CT: Praeger.5. Bowker, G. C., & Star, S. L. (1999). Sorting things out: Classification and it consequences. Cambridge, MA: MIT Press.6. Star, S. L., & Bowker, G. C. (1997). Of lungs and lungers: The classified story of tuberculosis. Mind, Culture, and Activity, 4(1), 3-23.7. Greeno, J. G. & The Middle School Mathematics Through Applications Project Group (1997). Theories and practices of thinking and learning to think. American Journal of Education, 106, 85– 126.8. Johri, A., Olds, B.M., and O’Connor, K. (2014). Situative frameworks for
project-based learning, the authors note that the K-12 programsoften fail to deliver comprehensive skills training and practical experiences, which supports ourhypothesis that teaching often focuses on technical expertise. Most courses integrate the teachingof programming with software engineering practices and found that students performed well ingaining conceptual understanding. They made note of an issue that most publications lackedinformation about the objectives, instructional strategy, and methodology for designing thecourse material. The systematic literature review we present here moves beyond the specificcourse design covered by da Cruz Pinheiro et al.’s research and focuses on the intersection ofdigital and engineering skills.Heintz
the reactor dataacquisition system and the remote user.References1. J. R. WHITE, A. JIRAPONGMED and L. M. BOBEK, “A Web-Based System for Access to Real-Time and Archival Research Reactor Data”, Trans. Am. Nuc. Soc. (June 2004).2. P. JAIN, S. MARKIDIS, B. G. JONES, RIZWAN-UDDIN, J. R. WHITE, and L. M. BOBEK, “Web-casting of Nuclear Reactor Experiments”, Trans. Am. Nuc. Soc. (Nov. 2006).3. J. R. WHITE and L. M. BOBEK, “Reactor Operations Training via Web-Based Access to the UMass-Lowell Research Reactor,” Proceedings of Conference on Nuclear Training and Education, Jacksonville, Florida (Feb. 2007).4. The Nuclear101 website and UMLRR Online prototype, www.nuclear101.com/.5. InduSoft Web Studio, www.indusoft.com/.6. Centra Live for e
andcurriculum development: the role of engineers in humanitarian activities. Additionally, reforminitiatives in science and engineering (S&E) graduate education have yet to realize their potentialfor integrating ethics into curricula. Addressing such challenges, this paper will describeactivities to date of an interdisciplinary faculty team at the Colorado School of Mines (CSM)working on the development of graduate-level curriculum in humanitarian engineering ethics(HEE). The HEE faculty team has 1) reviewed and critically assessed relations betweenhumanitarianism and engineering in order to develop an applicable concept of humanitarianethics (HE) in engineering education and practice; 2) researched barriers and opportunities in thedevelopment and
-year collaborations betweenadministrators, faculty, and staff in academia with local community partners. Each project isrequired to: (a) integrate the performing arts into the education, service, and scholarly missionsof the academy and engage chief academic officers and executive leadership; (b) provideopportunities to deepen and expand the participation of artist(s) in the academy through longterm residencies, commissions and/or other creative activities; and (c) identify, document, andshare lessons learned that will contribute to an evolving knowledge base and learning communityfor campuses and the wider performing arts and presenting field.17 This paper focuses on howwe accomplished (a) in partnership with the Learning Factory while also
educational outcomeswithout students having to spend sleepless nights in the campus computer room, or isolated inthe corner with their calculator, spewing numbers out. The contents of this paper weredeveloped over many years of teaching a variety of chemical engineering courses where use of Page 23.468.2process simulation facilitates the incorporation of real world design experiences into theclassroom.Background of Process Simulation at Mississippi State UniversityAt Mississippi State University (MSU), a discussion of the curriculum in the early 90’s focusedon numerical analysis tools and how best to educate students in their use. At that time
those of the authors and do notnecessarily reflect the views of the National Science Foundation.References[1] National Science Foundation, "Women, Minorities, and Persons with Disabilities in Scinece and Engineering: 2011. Special Report NSF 11-309," National Science Foundation, Division of Science Resources Statistics, Arlington, VA, 2011. Page 23.489.11[2] S. Kulis, et al., " More than a pipeline problem: Labor supply constraints and gender stratification across academic science disciplines " Research in Higher Education, vol. 43, pp. 657-691, 2002.[3] C. S. V. Turner, et al., "Faculty of Color in
. Nation’s Business, 82(6), 72-75.5. Bento, A. M., & White, L. F. (2001). Organizational form, performance and information costs in small businesses. Journal of Applied Business Research, 17(4), 41-61.6. Berrah, L., Mauris, G., & Vernadat, F. (2004). Information aggregation in industrial performance measurement: Rationales, issues and definitions. International Journal of Production Research, 42(20), 4271-4293.7. Bititci, U. S., Turner, T., & Begemann, C. (2000). Dynamics of performance measurement systems. International Journal of Operations and Production Management, 20(6), 692
1990’s, design thinking gained popularity as a way to foster and sustain innovation by Page 24.146.2having work environments that focused on the customer while simultaneously supportingemployee’s experimentation 16. Design thinking is used in all industries from mechanical 1engineering, business, and healthcare to education, art, and design(http://www.byui.edu/clusters/design-thinking).Specifically, design thinking is defined as a human-centered design process to solving ill-structured problems using an organized method of defining the problem by observing andempathizing with the people who are