Traditional path t102 Sig. Mean Mean (2-tailed) (SD) (SD)Engr. Self-Efficacy 0-6 4.43 5.00 3.16 .002Design confidence 0-100 56.38 72.69 2.19 .044Expect. of success 0-100 60.03 75.30 2.12 .049 Table 1: students’ differences reflected in pre-surveyThe post-survey was conducted at the end of the semester. Datasets from 49 students wereinvolved in the pre- and post-surveys analyses and 89.4% of them were males. There were nosignificant differences between the students who finished the post-survey and
Agree Average RankingFigure 4 – Results of Part II post survey at both institutionsConclusionsTwo problem-based learning modules were developed for an introductory, junior level soilmechanics/geotechnical engineering course. The first module was delivered at one institution,and the second module was delivered at two institutions. The instructors made generalobservations to assess the effectiveness of the modules with regard to comprehension and used aseries of pre and post surveys to assess the effect of the modules on student attitude towards soilmechanics and geotechnical engineering. The following conclusions are drawn from theinstructors’ reflections on the PBL delivery and from the results of the
CurtisShannon, Christopher Easley, William Josephson, and Joni Lakin; and current or formerstudents Alex Kelly, Shannon McGee, Alexander Haywood, Amber Hubbard, Rachel Bostic,Shannon Bales, the officers in Auburn University’s SHPE chapter, and Jessica Cooper. BrennenReece is acknowledged for producing the Youtube videos related to MSP outreach. Outreachcoordinators Mary Lou Ewald and Jessica Taylor are acknowledged for their ongoing efforts.The specific modules and activities highlighted in this paper were funded by NSF EPS-1158862and DRL-1102997. Any opinions, findings, and conclusions or recommendations expressed inthis paper are those of the author and do not necessarily reflect the views of the National ScienceFoundation.References:1. Nguyen
1 and the following are major definitions of assessment instruments that were embeddedinto the course: Project Journal: The maintenance of a bound design project journal is a requirement of the course by each team member. Teamwork (Peer-assessed): At least twice in the semester students are requested to complete a written evaluation of team members’ performance. Project Portfolio: This is an ongoing maintenance of a project portfolio. Records of team meetings, and updated plans for upcoming work are maintained in the portfolio, and are reviewed in project meetings with the instructor and industry’s sponsor. Standard contents of the portfolio reflects all proceedings of the team work on the
class demonstrated that the students learned about innovation. Goal Outcome Think creatively The grades received on the first assignments were much lower than expected. Therefore, we made some modifications to the way we presented our expectations for each assignment. We did not decrease our expectations. We only changed the way we presented them so that students knew what we were looking for. As a result, student performance increased and their learning was reflected in their assignments. The final projects were very
as it occurs in practice. In addition,the canvas should provide benefit for educators or practitioners in design or entrepreneurshipfields. Specifically, it provides a means to help both novice and expert designers and entrepreneursorganize, communicate, refine, and reflect on their ideas. The canvas also provides a means ofdesign-thinking documentation in which comparisons between initial, mid, and final versions ofthe canvas could be used to assess student learning. The prototype version of the innovation canvasis shown in fig. 2 below and is available online for educators and practitioners to test, evaluate,and provide feedback. Spring 2016 Mid-Atlantic ASEE Conference, April 8-9, 2016 GWU“During the development of the
just a little more for the 2nd or 3rd or 4th question because only 2 more points is needed topass. A student perspective could be just being unlucky that day because the missing crucial 2points for passing is just of random noise origin and there would be no need to reflect on whatwent wrong in his/her exam preparation. However for learning assessment purpose, the criticalreason for failing is that the student did not understand the 1st question at all and he/she needs tostudy the topics asked in the 1st question. An unbalance scoring result could be interpreted asindicator of having less motivation in learning in the affective domain. However when theoutlier score is on the first question on topics covered at the beginning of a semester, a
and for those of one’s group, team, or department. 1.2.1.2 Demonstrate global, social, intellectual, and technological responsibility.1.2.2 Behaving ethically 1.2.2.1 Encourage others to behave ethically. 1.2.2.2 Understand that behaving ethically goes beyond what the law requires. 1.2.2.3 Respect the need for confidentiality, when appropriate.Employment and Training AdministrationUnited States Department of Laborwww.doleta.govEngineering Competency Model – May 2015 61.2.3 Acting fairly 1.2.3.1 Treat others with honesty, fairness, and respect. 1.2.3.2 Make decisions that are objective and reflect the just
demographics, features of thelearning environment, nature of the learning activity, and the manner in which researchersindexed their findings. After one last read-through, we further refined the thematic headings tomost accurately reflect their respective studies, in addition to combining redundant themes—ultimately leading to the maturation and finalization of the six themes that constitute the basis ofour review.6(The forthcoming subsections present specific exemplary studies that are representative of theirrespective theme. For summaries of the cited articles and additional exemplary studies, refer toAppendix B).Theme 1: Substantiating the General Benefits of Educational Robots (N=17) To understand research pertaining to educational robots
traveling and resulted in short reportsafter travel.Site visit reports: Participants completed reports for each site visited. These forms consisted offive question prompts and resulted in formative, reflective reports that captured their experiencesat each visit and also acted as informal journals that they could use in the future to identifytrends, concepts and/or innovations that they found notable. The reports also served as a recordfor their continued investigation into their individual inquiry question(s).Sector Reports: Upon return, participants were paired up on teams based on their specific areaof renewable energy expertise to complete sector reports which compared and contrasted theGerman and U.S. energy industry, educational pathways
. Lessons Learned In preparing the tutorial, I reflected on the way I taught engineering economic analysis and acknowledged some significant changes needed to be made. Specifically, I realized the FE exam has been an excuse for not changing the content in EngEcon and how I taught it. I also concluded the content of my co-authored textbooks has been limited, based on my belief few who teach undergraduate students are willing to deviate significantly from how the course was taught when they took it as undergraduate students. As a result of my reflections, my future teaching (and book revisions) will address explicitly the four take-away messages cited in the summary and conclusions section of the tutorial: 1. All real-options analyses incorporate
most useful for addressingchallenges that are complex, require many people, and in which there is a high degree ofuncertainty about the best approach.1 This set of conditions holds true far beyond productdevelopment.One such scenario is that of planning and implementation of organizational interventions –anenvironment in which “strategic planning” is often the tool of choice but one which is ineffectivein a networked (rather than hierarchical) context. An alternative approach described in this paperis “strategic doing”. As in agile product development, the approach uses iterative cycles ofimplementation, learning and reflection, and improvement, with a focus on rapidexperimentation and gradual scaling up of solutions. While not designed for
actionable commercialoutcomes whereas Entrepreneurship refers to executing on those opportunities in fulfillment ofcommercial outcomes. There is extensive overlap across the continuum from creation/discoveryto execution and outcome. Center programs and lead personnel assignments are being designedto focus on areas of the continuum most appropriate for the stage of the opportunity, theindividuals involved, the technology being pursued, and other relevant factors. This I&Econtinuum, as we envision it, is reflected in Figure 1.Key initiatives of the Center include creation of an Innovators & Entrepreneurs guest speakerseries, execution of a coordinated pitch competition strategy, development of a mentor network,enhanced curricular programming
-thinking across theparticipant sample. The study was approved by Harding University’s IRB.Data CollectionWe gathered design records from three separate teams of four students each (n = 12). Throughoutthis paper, we refer to the teams as Hardware Team, Mattress Team, and Lighting Team. Eachteam was assigned the task of creating displays in the store for the corresponding product. Wecollected two sources of data: design notebooks and team design documents.Design Notebooks: In order to record the students’ design concepts, each student wrote in adesignated notebook. The students were asked in these notebooks to record their reflections,ideas, and thought processes. In the notebooks, individual students documented their earlyconcepts in response to
-Collegiate Factors Influencing the Self-Efficacy of Engineering Students. Journal of Engineering Education, 2011. 100(3): p. 603-623.5. Meyers, K.L., et al., A Comparison of Engineering Students' Reflections on Their First-Year Experiences. Journal of Engineering Education, 2010. 99(2): p. 169-178.6. Wilson, D.M., et al., A Cross-Sectional Study of Belonging in Engineering Communities. International Journal of Engineering Education, 2010. 26(3): p. 687.7. Hartman, H. and M. Hartman, Leaving Engineering: Lessons from Rowan University's College of Engineering. Journal of Engineering Education, 2006. 95(1): p. 49-61.8. Eris, O., et al., Outcomes of a Longitudinal Administration of the Persistence in Engineering
is completely constructed, the LMS has the ability to preview the questionand submit an answer. Figure A-5 shows what the question would look like if a student entereda response that was incorrect but got partial credit for an answer reflecting a standard conceptualmistake. Figure A-5 Previewing the Calculated Problem in MoodleBrightspaceBelow is an example of the editing screen for constructing calculated questions in Brightspace.The LMS has settings for labeling the question title, constructing the formula, setting tolerancelimits, adjusting the parameter value bounds between 0 and 100. The user has to decide if partialcredit will be awarded for getting the units of measure correct and whether the evaluation shouldbe
and immediately start moving towards the next point.As a result the shapes drawn looked deformed. Figure 20 shows a sample drawing from one ofthe teams displaying the word “Hi.”This error cause frustration which is reflected in the surveys the students took at the end of thecamp. However even the distorted drawing they were able to produce resulted in the studentsdisplaying great excitement. Other factors such as a weak grip on the pen and physical play inthe arm’s joints also produced distortion however the students seamed to understand thesecharacteristics. Figure 20: a sample drawing from one of the arms where the arm drew the word “Hi.”The best way to find errors or weaknesses on a software product is to give it to a set of
theseconnections and to support the personal development of teamwork and communication skills thatare so valuable in today’s academic and non-academic workplaces.AcknowledgementsThis study is based upon work supported by the National Science Foundation under anInnovation Though Institutional Integration grant (NSF # 0963659, Martin Schimpf, PI). Anyopinions, findings, and conclusions or recommendations expressed in this paper are those of theauthors and do not necessary reflect the views of the National Science Foundation. We alsogratefully acknowledge the students who participated in the Summer Research Community, andthe faculty and staff from the following projects at Boise State University who organized theSummer Research Community: NSF REU Program in
done withoutopportunities for reflection and metacognition have missed the opportunity to create deeperunderstanding [17]. Shavelson, et al. [20] refer to four different types of knowledge: declarativeknowledge (“knowing that”), procedural knowledge (“knowing how”), schematic knowledge(“knowing why”), and strategic knowledge (“knowing when, where, and how our knowledgeapplies”). This framework provides a useful way of evaluating laboratory experiences; what istypically termed “inquiry based laboratory exercises,” are ones that reach the higher levels of theknowledge taxonomy [12]. Pre-labs and other types of preparation are also important as identifiedin Kolb’s experiential learning cycle [21] and [18]. Without “just in time” lectures and pre
need, meanwhile drawing upon the insights of non-engineeringclassmates to weigh technology against culture, cost, educational capabilities and operationalrequirements.Throughout the process, students are required to reflect on the process as well as on theirsuccesses and struggles. Comments from students over the three years of the course are used tohighlight specific learning outcomes. ● “Perhaps my view was too idealistic at the start of the course, but I am now at least aware that despite the best of intentions, many factors have to be well thought out before a large-scale project can help those in need sustainably. Furthermore, I am now aware of practical ways to account for the needs of project beneficiaries and ensure these
. Examples of Open-Ended Responses from Participants Career opportunities after tenure. Possibly small group discussions focusing on pros and cons of each path. How to build a sustainable research program. Pitfalls of Industry/Academic Collaboration; How to build network across Industry R&D How to be an effective Academic Leader? Lab management as opposed to student management. Bridging the divide between secondary and higher ed. How faculty can best prepare for and serve disparate populations, gearing new students for success in college and beyond. More workshops on building community for underrepresented faculty.Table 3: Examples of open-ended responses from COE Faculty Development program participants7. Reflections and Lessons Learned
will help users engaged inenvironmental monitoring to access environmental data and perform analysis. This programmingwill include tracking these users and finding their navigational paths through the user interface.These REU projects are intended to extend the current system of the lab.AcknowledgementThe authors would like to thank various undergraduate and graduate students who assisted in thedevelopment and implementation of the LEWAS lab at Virginia Tech. We acknowledge thesupport of the National Science Foundation through NSF/REU Site Grant EEC-1359051. Anyopinions, findings, and conclusions or recommendations expressed in this paper are those of theauthor(s) and do not necessarily reflect the views of the National Science
demand STEM careers.AcknowledgementThis material is supported by the National Science Foundation under DUE Grant Numbers 1501952and 1501938. Any opinions, findings, conclusions, or recommendations presented are those of theauthors and do not necessarily reflect the views of the National Science Foundation.References1. Coleman, N., and Ford, M., 2014, "North Dakota and Texas now provide half of U.S. crude oil production," Today in Energy, July 1, http://www.eia.gov/todayinenergy/detail.cfm?id=16931 (Retrieved on July 25, 2014)2. Texas Wide Open for Business, 2013, "Manufacturing in Texas," TexasWideOpenforBusiness.Com, http://www.governor.state.tx.us/files/ecodev/Manufacturing_in_Texas.pdf (Retrieved on July 25, 2014)3. Modine, J
Cooperation in the College Classroom,”Edina, MN: Interaction Book Company.10. Fairhurst, A.M., & Fairhurst, L.L. (1995), “Effective Teaching, Effective Learning,” Palo Alto, CA: Davies-black Publishing11. Dale, E. (1969), “Audiovisual Methods in Teaching,” (3rd ed.), New York: Dryden Press.12. Wankat, P.H. (1999), “Reflective Analysis of Student Learning in a Sophomore Engineering Course,” Journal ofEngineering Education, Vol.88, (no.2), 195 -203.13. Finelli, C., Klinger, A., & Budny, D.D. (2001), “Strategies for Improving the Classroom Environment,” Journalof Engineering Education, Vol 90, (no.4), pp. 491-497.14. Smith, K.A., Sheppard, A.D., Johnson, D.W. & Johnson, R.T. (2005), “Pedagogies of Engagement: Classroom-Based Practices
“This has been an incredibly rewardingexperience and has made me a better leader.” Also, upon reflection of these programs theSCTCS has developed these key takeaways for other programs interested in implementingsimilar programs: take ownership of your program, start planning early, identify key outcomesand deliverables, pilot curriculum if possible, and remain flexible.iii. Teaching and Learning Tuesdays Opportunities exist for professional development on a broader level. Approximately 350part-time and full-time faculty and staff have been trained over the past academic year throughthe Teaching and Learning Tuesdays (TLT) Series. TLTs provide monthly online programmingfocused on new and innovative ways to incorporate technology into
reflect the academic training of one of this paper’sauthors, which included a B.S. degree in mechanical engineering, a Ph.D. in metallurgy, andpost-doctoral experience in solid state physics. Table 2 shows a week-by-week class schedule ofENGR 1002 and the engineering topics:Table 2. A Weekly Class Schedule of ENGR 1002 and Engineering TopicsWeek Class Schedule Engineering Topics CommentsWeek 1 Course Overview and Engineering units and unit Address a common student Units Conversion mistake: (ab)x≠abx or axb but = axbxWeek 2 Algebraic Expression Definition and algebraic
upon one another in physical space during the printing process. This additive processof layering is a particular technological advantage of 3D printing: because 3D prints do notrequire a mold to produce, additive manufacturing processes allow for the creation of single-castobjects with more intricate and diverse topologies than industrial injection-molding processes.These new kinds of solid-shape designs have already made impacts across both engineering36 andthe arts.37This cross-colonization of multiple disciplines by 3D printing is reflected by themes of hybridityin the rhetoric surrounding the technology. Both photosculpture and 3D printing werecontextualized as a creative hybrid of human and machine, though with very different
or recommendations expressed in this material are those of theauthors and do not necessarily reflect the views of the National Science Foundation.References [1] Rakesh Agrawal, Anastasia Ailamaki, Philip A. Bernstein, Eric A. Brewer, Michael J. Carey, Sura- jit Chaudhuri, AnHai Doan, Daniela Florescu, Michael J. Franklin, Hector Garcia-Molina, Johannes Gehrke, Le Gruenwald, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioan- nidis, Hank F. Korth, Donald Kossmann, Samuel Madden, Roger Magoulas, Beng Chin Ooi, Tim O’Reilly, Raghu Ramakrishnan, Sunita Sarawagi, Michael Stonebraker, Alexander S. Szalay, and Ger- hard Weikum. The claremont report on database research. SIGMOD Record, 37(3):9–19, 2008. [2
Engineering Education.21. Huff, J. L., Smith, J. A., Jesiek, B. K., Zoltowski, C. B., Graziano, W. G., & Oakes, W. C. (2014). From methods to methodology: Reflection on keeping the philosophical commitments of interpretative phenomenological analysis. 2014 IEEE Frontiers in Education Conference (FIE) Proceedings.22. Smith, J.A., Flowers, P., Larkin, M. (2009). Interpretative Phenomenological Analysis: Theory, Research, Practice. London: Sage.23. Godwin, A., Potvin, G., Hazari, Z., & Lock, R. (2013). Understanding engineering identity through structural equation modeling. 2013 IEEE Frontiers in Education Conference (FIE).24. Hazari, Z., Sonnert, G., Sadler, P. M., & Shanahan, M. (2010). Connecting high school physics
pursue engineering. Figure 4 details the responses students provided. Somestudents selected multiple categories, and Figure 4 depicts the percentage each category wasselected by 37 participants. Here, it is again clear that altruistic tendencies are a majorcontributing factor to the female students’ desire to pursue engineering, in agreement withprevious literature. It also appears that students’ interests played a major role in their decision topursue engineering. This finding may reflect students’ desire to choose careers that arepersonally meaningful, which has also been demonstrated in literature as a relevant factor infemale students’ career decisions.14 Figure 4: Percentage of participants’ motivation to become