). Engineering practitioners spend more time gatheringinformation, considering alternatives, and perhaps most importantly, designing. The result ofthese differences in activity patterns are reflected in the overall quality of the design.Additionally, research in problem solving has shown that even through practice, engineeringstudents often struggle with the transfer of learned information to new situations (Venters &McNair, 2010).Consequently, research has shown that engineering graduates are ill-prepared for the workplaceand the complex open-ended problems that are typical of engineering design (Collins, 2008;Education et al., 2005). The problems engineering students solve in school are thought to requirethe same fundamental concepts that
in similar projects are highly appreciated and welcomed.References1. G.T. Heydt, and V. Vittal, Feeding our profession, IEEE Power & Energy Magazine, vol. 1(1), 2003, pp 38-45.2. Energy Utility Consultants Inc. Proceedings of January 23-24, 2007 seminar, Solutions to an Aging Workforce.3. U. S. Department of Labor, Bureau of Labor Statistics, http://www.bls.gov.4. W. Reder, Managing an Aging Technical Workforce, EnergyBiz., May/June 2005.5. G. Gross, G.T. Heydt, P. Sauer P. and V. Vittal, Some reflections on the status and trends in power engineeringeducation, IERE Workshop: The next generation of power engineers and researchers, Montreal, Quebec, Canada, 10Oct. 2003.6. K. C. Judson, Restructuring Engineering Education: Why, How And When
were completed byeveryone in the group. During both years, the results were kept confidential. However, theinstructors intervened as necessary when significant differences and problems were observed.The discussion on these results is presented in the next section.4. Results and Survey DiscussionFirst, the results of the numerical peer evaluations are presented when the instructor assignedteams. As each team leader led a presentation, several disagreements and conflicts within thegroups were shared with the instructors, and these results were reflected in the numerical peerevaluation. Figure 2 shows the results of the numerical surveys provided to the students duringthe Fall 2016 semester when teams were assigned based on individual academic
material is based upon work supported by the National Science Foundation under Grant No.1154146. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.Bibliography1. Rossetti, Manuel, Kim LaScola Needy, Ed Clausen, Carol Gattis, and Micah Hale. "Enrichment Activities in Support of a Student Integrated Intern Research Experience." American Society of Engineering Education (2014): 1-7. Web. 1 Aug. 2017.” American Society of Engineering Education (2014): 1-7. Web. 1 Aug. 2017.2. Rossetti, Manuel, Kim LaScola Needy, Ed Clausen, Carol Gattis, and Micah Hale. "On the Development of a Student Integrated
improvecourses by bettering integrating the training and laboratories, applying inquiry based learningmethods such as flipped classrooms and more judicious selection of topics. The managementteam is also working at better defining the course requirements for the student cohorts to betteraccommodate different levels of expertise in biology, mathematics and data science.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantNumber DGE-1545463. Any opinions, findings, and conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.Bibliography[ASPB, 2013] American Society of Plant Biologists, Unleashing a Decade
laboratory environments.Acknowledgement This research is funded by the National Science Foundation NSF NRI #1527148. Anyopinions, findings, or conclusions found in this paper are those of the authors and do notnecessarily reflect the views of the sponsors.References1. National Robotics Initiative 2.0: Ubiquitous Collaborative Robots (NRI-2.0) (nsf17518) | NSF - National Science Foundation.2. Tucker C, Kumara S. An Automated Object-Task Mining Model for Providing Students with Real Time Performance Feedback. In: ; 2015:26.178.1-26.178.13.3. Hu Q, Bezawada S, Gray A, Tucker C, Brick T. Exploring the Link Between Task Complexity and Students’ Affective States During Engineering Laboratory Activities. In: ASME 2016
, 2011) argue that while there are three main affordances — proximity,privacy, and permission — that support interactions in a space, finding the right balance amongthem is crucial because “a lopsided distribution is more likely to inhibit than promote beneficialinteractions” (Fayard and Weeks, 2011, p.110). In particular, Fayard and Weeks (2011) stressthat people always interpret what are the appropriate behaviors in a space (e.g., in a librarypeople tend to be silent or speak in a low voice) and that these interpretations often reflect anorganization’s culture.The role of culture is also highlighted in research on makerspaces, especially through the senseof community makerspaces promote and nurture: “Participants often refer to the space as
women and URM, but Pell-eligible students are not as wellserved.6.0 AcknowledgmentsThe authors gratefully acknowledge the support of the National Science Foundation throughGrant No DUE-1347830, and the ongoing support of the Dean of Arts & Sciences and the Officeof the Provost.ReferencesAllexsaht-Snider, M. and Hart, L.E. (2001). Mathematics for All: How do we get there? Theory IntoPractice, 40(2) 93-101.Ames, C. (1992). Classrooms: Goals, structures and student motivation. Journal of EducationalPsychology, 84, 261-271.Bandura, A. (1977). Self-efficacy: Toward a Unifying Theory of Behavioral Change. PsychologicalReview 84 (2), 191-215.Bloom, B. S. (1994). "Reflections on the development and use of the taxonomy". In Rehage, Kenneth J
. Grant funded career navigation efforts continue to be institutionalized within the university structure. Career navigation focused initiatives are also undergoing an evaluation to better understand how these efforts support the project’s overall objectives and project goal. Acknowledgements Support for this research was provided by the National Science Foundation ADVANCE Institutional Transformation program under Award No. 1209115. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. References1. “RIT_EFFORT_Career_Life_Survey.pdf” NSF ADVANCE RIT (2009, October). Web
the earliest ages standthe best chance of continuing on career paths that will bring them greater economic prosperity.By increasing the opportunities for a greater and more diverse population of students to haveaccessibility to these subjects, the greater the number of curious, scientifically literate studentswill be prepared to learn and pursue engineering careers.AcknowledgmentsThis material is based upon work supported by the National Science Foundation (under GrantNo. 1647405) and National Grid. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of thefunding partners.References[1] J. P. Holdren, M. Cora, and S. Suresh. Federal STEM
lessons we learned throughout the process aswell. First was the use of a kick-off event. We learned quickly that it was easier to get studentsto attend a kick-off event where they could learn about the competition, find teammates, and signup, than it was to ask students to directly sign up. We also recognize that it is important to havea solid timeline before the competition begins. That timeline should reflect both the dates thecompetitors will need to submit their deliverables, and also the dates of the workshops and otherevents. In planning this competition our original schedule, given out at the kickoff, set theworkshops for a specific week, and the actual date was given out a week or so before hand. Thislead to confusion and scheduling
little trouble with Word and PowerPoint, but many students struggledinitially with Excel and Mathematica.The students were generally familiar with PowerPoint (PP) which was reflected through theirassignment results using this software. The first PP task was assigned using a set templateprovided to the students. The most common source of grade penalty was failure to use/follow theassigned template. This might seem a minor issue, but the students were admonished that thevalue of following the explicit instructions should not be underestimated in the success inEngineering College or any other career path.Most students had previous experience using Word. However, it is essential to note that moststudents were already accustomed to using Word for the
turn can be used to identify asolution. Engineering educators tend to treat “society” as a distinctly separate silo fromengineering itself. This is not to say that society isn’t discussed within the engineeringclassroom, but it is often framed as a linear progression -- something is engineered, then it hasan impact on society. This is reflected in the 2016-2017 ABET outcome H: “the broad educationnecessary to understand the impact of engineering solutions in a global, economic,environmental, and societal context.” The very language of this statement indicates societalcontext is seen as relevant, but distinctly separate, from engineering solutions.Similarly, students’ lived experiences are typically contained in a separate silo. Students
primary goals of ourworkshops. Confidence and motivation promote community building, a significant focus area ofThe Carpentries.The final survey instrument included 26 questions. Figure 1 provides a select few questions fromthe survey. The entire survey, data set, and code used to prepare this paper can be found on ourGitHub repository at https://github.com/kariljordan/ASEE. The statements below reflect ways in which completing a Carpentry workshop may have impacted you. Please indicate your level of agreement with the statements ● I have been motivated to seek more knowledge about the tools I learned at the workshop. ● I have made my analyses
found useful to reflect upon before attempting to adapt/developany materials for the new format. For example: 1) What types of content and learning outcomes should the students be responsible for outside of the classroom versus in the classroom? How and when will that content be delivered? 2) Should the entire class period be devoted to active learning or would the students benefit from starting with a brief (e.g. 10-15 minute) lecture first to review important or challenging concepts, prior to transitioning to activities for the remainder of the class time? 3) Will the students be tested on (e.g. online or in-class quizzes) or otherwise held accountable for pre-class content, prior to starting the in-class
studies may have lesspatience towards changes in instructional methods and may find initial attempts at incorporatingactive learning disorganized [12]. This frustration with perceived disorganization was alsoreflected in the survey comments from older students, including that of the 20-year old studentquoted above. They were more likely to find the active learning sessions, especially those whichdid not include problem-solving exercises, as “busy work” and unnecessary for their success inthe class and may reflect differences in motivational factors and preferred learning environmentsnoted by some researchers [32], [33]. The differences in gender are more puzzling and arecontrary to what has been reported in studies of active learning
students.AcknowledgementsThis material is based upon work supported in part by the National Science Foundation underGrant No. 1647485. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] American College Testing. (2013). The condition of college and career readiness 2013. Retrieved from: www.act.org/readiness/2013.[2] Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.[3] Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.[4] Betz, N. E. (2008). Advances in vocational theories. In S.D. Brown & R.W
university practices. Strategies foraccomplishing this goal emphasize active and reflective learning trough project based learning,helping student make connections to see the relevancy of the subject, group collaboration,empowerment and promoting and assessing deep learning in contrast to surface or strategiclearning. One means of empowering students in the decision making for the class is to offer thema choice to pursue assignments and the ability to pursue something of interest [14].Ponton [33] and others highlighted that teachers affect student outcomes by communicating thepurpose for developing particular skills and the criteria for mastering them. As instructors, weoften profess that we do not want students to memorize but rather understand
Milano,Dept. Architecture, Built Environment and Construction Engineering (ABC), Via Bonardi 9,20133, Milan. ilaria.oberti@polimi.it, francesca.plantamura@polimi.it[19] Jade Woodard (2017), “Investigating Properties of High-Performance Printing Concrete”,Master of Science at North Carolina A&T State University, 85 pages.[20] Brandy Diggs (2017), “Clustering Analysis: Envelope Energy Performance, MoistureControl and Thermal Bridge of Military B-Huts”, Master of Science at North Carolina A&TState University, 91 pages.[21] Sissy S. Wong, Jonah B. Firestone, Lionnel G. Ronduen, EunJin Bang, “Middle SchoolScience and Mathematics Teachers’ Conceptions of the Nature of Science: A One-Year Study onthe Effects of Explicit and Reflective Online
Approaches, 4th ed. United States of America: SAGE Publications, 2013.[30] B. Alan, Social research methods, 4th ed., vol. 53, no. 9. Oxford University Press, 2013.[31] ABET, “Criteria for Accrediting Engineering Programs.” ABET, pp. 1–29, 2017.Appendix A- Sample of survey questionnaire used for capturing engineering students’perception of interactions in the laboratoryDate: _____________ Time: ___________ Unit: ______________________________________ Student ID Family Name Given Name(s)Reflecting on the laboratory class you just completed: To register a response completely, fill the bubble with a blue or black ballpoint pen
stated as a reason for leaving engineering; the difficultyof the material was often compounded by attitudes and quality of instruction. Tyson [7]considers “Academic Integration” as a key factor in degree attainment, with academicintegration reflected in a sequence of classes- Physics I and II and Calculus I, II, and III.Zhang, et al. [8] considered the relative importance of 20 core science and math coursestaken by engineering majors, finding that grades in only 6 of them were significantpredictors of retention. It is interesting that the course that they found to have the highestpredictive value was General Chemistry 1 Lab, which is not a subject strongly associatedwith advanced topics in mechanical engineering. Indeed, one of the major
and understand theconventions and math principles. I really appreciate how Dr. Ghosh focuses on making sure youunderstand the physical reasons behind the math and formulas.I think his grading appropriately reflects his teaching/testing style, which I like. Dr. Ghosh wants peopleto understand his material on an intimate, conceptual level which requires tests and quizzes be moredifficult because you cannot simply rely on knowing formulas. He therefore is quite lenient with gradingand awarding points to wrong answers that he believes were conceptually on the right track. He asks alot from his students but does not punish a more difficult style of teaching/learning with harsh grading, ifthat makes sense…References[1] E. C Hensel and A. Ghosh, “A
manufacturing in both of these disciplinesis needed8. Many current engineering programs do not emphasize the marriage of design andmanufacturing in a modern industrial technical workforce [10].Many research studies have assessed the quality of exposure to manufacturing through the seniordesign or capstone course. McMasters and Lang indicate that few people in industry have anunderstanding of how the current engineering education is undertaken. Through design projects,the inclusion of industry partners in the education process will enhance the education provided tothe students and better reflect the expectations of industry [11]. Universities are exposingstudents to manufacturing through senior capstone design courses to offer students with arealistic
the experiment.Imagine all of the factors that must come together to result in a realistic and effectiveexperiment. The lab experiment content, software and hardware, miscellaneous components allmust work together and conclude in the desired learning experience. Additionally, it is importantto realize that in our ever-fast-changing technological era, it is necessary to offer degreeprograms that reflect the changes in industry and the job market. This realization in a largemeasure is the responsibility of the instructor to update and maintain course and programrelevance to the real world. The intent of changes of the course content were based on the suggestions from engineersand technical sales representatives during annual ASEE
wellestablished ([3]-[7]). Relying on technological progress to drive or require the social progressthat would make “solutions” widely available has also been shown to be inadequate (e.g. [8-9]). As scholars [10] have written, “Critical analyses and reflections on the design of scienceand technology are essential if societies are to meet their challenges in ways that create realimprovements rather than re-create inequalities.” Meaningfully addressing the GrandChallenges thus requires interdisciplinary collaboration, critical thinking about the potentialand the limitations of engineering design methods, and deep understanding of local socialcontext and larger economic and political systems.Lafayette College began its Grand Challenges Scholars Program
capstonedesign curriculum, the current two year research project was designed to implement and assessthe efficacy of the activities as an integral part of the course. IC activities have been incorporatedin the USAFA capstone design course previously, but their effects were not directly studied.Nevertheless, faculty observations and customer feedback suggested that creativity and productinnovation improvements occurred. Thus, sufficient anecdotal evidence existed to motivatefurther formal examination of the impact of IC activities on the USAFA engineering designprocess and capstone design course.Since the underlying conceptual process of the capstone design course and the DI activityexperience reflects the divergent thinking processes it is appropriate
Information Center; 1975.[61] Morrison GR. Designing effective instruction. Hoboken, NJ: Wiley; 2011.[62] Cannon HM, Burns AC. A Framework For Assessing The Competencies Reflected In Simulation Performance. Developments in Business Simulation & Experiential Exercises 1999;26:40–4.[63] Bloom BS. Taxonomy of educational objectives: The classification of educational goals. United Kingdom: Longman Group United Kingdom; 1969.[64] Anderson LW, Krathwohl DR. A taxonomy for learning, teaching, and assessing: a revision of Bloom’s taxonomy of educational objectives. New York: Longman; 2001.[65] Schell J. The art of game design a book of lenses. - Description based on print version record. Boston: Elsevier/Morgan Kaufmann; 2008.[66
,” Int. J. Qual. methods, vol. 8, no. 4, pp. 49–62, 2009.[48] L. Cohen, L. Manion, and K. Morrison, Research methods in education. Routledge, 2013. 13[49] A. K. Shenton, “Strategies for ensuring trustworthiness in qualitative research projects,” Educ. Inf., vol. 22, no. 2, pp. 63–75, 2004.[50] M. Patton, Qualitative Research and Evaluation Methods. Sage, 2002.[51] J. Saldaña, The coding manual for qualitative researchers. Thousand Oaks, CA: Sage, 2010.[52] J. Walther, N. W. Sochacka, and N. N. Kellam, “Quality in interpretive engineering education research: Reflections on an example study,” J. Eng. Educ., vol. 102, no. 4, pp
interpreting the hypothetical relationships asarticulated in social cognitive career theory. Also, consistent with the theoretical framework,HCCS participants serve as research mentors for undergraduate students from the ComputingResearch Association Women’s Distributed Research Experience for Undergraduates program.The following propositions from Lent et al.’s (1994) social cognitive career theory (pp. 91–98)informed the development and implementation of HCCS Program: • Proposition 1. An individual’s occupational or academic interests at any point in time are reflective of his or her concurrent self–efficacy beliefs and outcome expectations. • Proposition 2. An individual’s occupational interests also are influenced by their