research is needed.AcknowledgementsThe authors thank the reviewers for their helpful comments and suggestions. We would also liketo gratefully acknowledge the NSF for their financial support (through the DUE-1744407 grant).Any opinions, findings, and conclusions or recommendations expressed in this Report are thoseof the authors and do not necessarily reflect the views of the National Science Foundation; NSFhas not approved or endorsed its content.References[1] S. Freeman et al., “Active learning increases student performance in science, engineering, and mathematics,” PNAS, vol. 111, no. 23, pp. 8410-8415, June 10, 2014.[2] M. H. Dancy and C. Henderson, “Experiences of new faculty implementing research-based instructional strategies,” AIP
Paper ID #21689Enhancing Core Chemical Engineering Courses with Computationally-IntenseCourse ModulesDr. Kevin D. Dahm, Rowan University Kevin Dahm is a Professor of Chemical Engineering at Rowan University. He earned his BS from Worces- ter Polytechnic Institute (92) and his PhD from Massachusetts Institute of Technology (98). He has pub- lished two books, ”Fundamentals of Chemical Engineering Thermodynamics” and ”Interpreting Diffuse Reflectance and Transmittance.” He has also published papers on effective use of simulation in engineer- ing, teaching design and engineering economics, and assessment of student
cohorts of 15 to 16 students.Student progress was monitored during Fall 2016, and in preparation for a less successfulsemester, a new activity was introduced for winter break 2016–17. SESMC purchased the bookMindset: the New Psychology of Success, by Carol S. Dweck [1]. This book was assigned asreading over the winter break and was the primary topic of discussion at the Spring 2017orientation meeting. The intent was to provide students with perspective when met with newchallenges, and tools to deal with them. Some key takeaways that students received from readingMindset and from the subsequent group discussions: “Failing is not a reflection of my self-worth, it is merely an opportunity for improvement.” “After reading this book I spent
this program hadbetter performance through their discipline of study than those who were not part of NSFlearning community cohorts. The benefits of the scholarship program have been reflected instudents’ graduation and job placement rates; Students involved in the NSF-STEM program havethe highest rate of graduation within 4 years and the highest rate of job placement.In addition to the success stories of after-class professional activities, NSF-STEM students wereengaged and involved in Robotics and UAV club activities. As a result, many of these studentswere able to participate in regional, national and international competitions and received topplace ranking [7]. As an example, NSF-STEM students designed and developed two robots forthe 2016
isnot enough to spark conceptual change in teaching practice. The faculty development literaturecontends that faculty must have a more sustained experience where they are able to integrate theoryand practice and where they can interact with peers as they reflect on their own practice [16-18].Active learning instruction and technology-enhanced instruction (ex. designing hybrid and flippedcourses) require rigorous pre-course planning [19, 20]. Shifting the learning paradigm fromteaching-centered to learning-centered is also an important shift in teaching strategy.[4, 11, 13, 21]This faculty development program supports the social aspect of learning with other faculty –learning community/ community of practice model – found to better achieve
century.AcknowledgementsThis work was funded by a National Science Foundation EEC CAREER grant (1554057). Anyopinions, findings, and conclusions or recommendations expressed in this material are those of theauthor and do not necessarily reflect the views of the National Science Foundation.References[1] M. C. Thursby, “The Importance of Engineering: Education, Employment, and Innovation,” The Bridge, vol. 44, no. 3, pp. 5–10, 2014.[2] J. Miller, “The Science and Engineering Workforce: Realizing Americas Potential,” Natl. Sci. Board Natl. Sci. Found. Rep. NSB, pp. 03–69, 2003.[3] D. E. Chubin, G. S. May, and E. L. Babco, “Diversifying the engineering workforce,” J. Eng. Educ., vol. 94, no. 1, pp. 73–86, 2005.[4] W. Wulf, “Diversity in Engineering,” The Bridge
. Justin Salgado and Mingkun Yang are acknowledged forhelping participate and complete the laboratory design and demonstration activities. Thearticle is written with the purpose of emphasizing the critical importance of teaching soilmechanics lessons by involving students’ personal experience as students’ personalexperience may mean everything in their future professional career. The voice, opinionsand remarks conveyed in the paper does not reflect any organization’s endorsement butpurely the authors’ own observations and remarks.References1. Felder M., Richard & Silverman, Linda. (1988) “Learning and Teaching Styles in Engineering Education.” Engineering Education, 78(7), 674-681.2. Nieves, Marie. (2017), “Soil Investigation-What is it and
active learning to a greaterdegree in their courses, followed by 16/23 (70%) who said so about understanding how to makelectures more active, 14/23 (61%) who said so about their confidence incorporating activelearning techniques in their courses; and 12/23 (52%) who said so about their understanding ofproblem-based learning techniques. Similarly, large majorities – ranging between 91% and 100%-- reported they were either “likely” or “very likely” to implement 5 specified teaching changesas a result of the workshop. In fact, a full 17/23 (74%) said they were “very” likely to revise theircourse syllabi to reflect more clearly written instructional objectives, followed by 15/23 (65%)who indicated they were “very” likely to increase the degree to
from the National ScienceFoundation (NSF) Grant 1259993. Any opinions, findings and conclusions orrecommendations expressed in this material are those of the authors and do notnecessarily reflect the views of NSF.References[1] U.S. Census Bureau, “State and County Quick Fact”, USA, 2010[2] New Mexico Higher Education Department, “Annual Report”, NM, 2016[3] Greatschools, Inc., “Great Schools Review Report”, USA, 2018[4] Ariely, Dan. Predictably Irrational: The Hidden Forces That Shape Our Decisions,Harper Perennial, 2010.
Education MinorityScience and Engineering Improvement Program under Grant No. P120A140051. Any opinions,findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the U.S. Department of Education.References[1] US Census Bureau, 2016 Census Data for Kern County.[2] US Census Bureau, 2017 Estimated Census Data Nationwide.[3] California Department of Education, Data and Statistics website. Data for Kern High School District.[4] N. Gorgievski and et al., "Tablet PC: A Preliminary Report on a Tool for Teaching Calculus," The International Journal for Technology in Mathematics Education, vol. 12, no. 3, pp. 95-102, 2005.[5] C. Lysy, C. A. Romney, J. P. Paniagua
could be of further use in SEP-CyLE. We will conduct additional studiesto measure the impact of additional gamification elements on student performance and learningwhile using SEP-CyLE. Also, in future studies we will use SEP-CyLE in advanced levelprogramming courses and evaluate how these different learning strategies improve advancedunderstanding of software programming and testing techniques. 8. Acknowledgements:This work is supported in part by the National Science Foundation under grants DUE-1225742and DUE-1525112. 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. 9. References:[1] I. F. de Kereki
-12STEM learning. It also contributes to the assessment and evaluation of CT in K-12students.AcknowledgementWe wish to thank the National Science Foundation (NSF) for the support of this studyunder Grant Number 1640228. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the NSF. We also wish to thank Dr. Yu-hui Ching and Dr.Sasha Wang for their effort in the curriculum design and data collection of this study.References[1] National Research Council (NRC), How Students Learn: History, Science, andMathematics in the Classroom. Washington, DC: National Academy Press, 2005. [2] J. M. Wing, “Computational thinking,” Communications of the ACM, vol. 49
to make the decision not to participate in our study if they perceive a threat fromdisclosing their citizenship status.In sum, the combined lesson learned from these three issues (e.g., site access, participantrecruitment design, and the current political climate) are important, as the strength of the studylies in the data collected. If not sensitive to institutional barriers to data collection, valuableconnections to potential participants are lost. Without attention paid to the particularities of astudy’s target population, researchers may waste time recruiting a sample, which fails to addresstheir research questions and/or reflect accurate experiences of the study’s population of interest.If the socio-political climate of a research site
fundamentals to future technologies 2) Ability to solve open-ended problems with great complexity 3) Ability to work with a team with diverse backgrounds and perspectives.The current curriculum is recognized as successful in training students in the fundamentals ofEE, and has traditionally been the major emphasis of curricular discussions among faculty.Outcomes 2) and 3) are aligned with the identified shortcomings in training students withsufficient team skills, societal relevance, and cross-disciplinary content to prepare students fortoday’s workforce, and in directly promoting diversity. To achieve these student outcomes, thefollowing have been identified as goals for curriculum change: 1) Teach fundamentals that reflect current and future
industry, and besuccessful in research and continue to push the frontiers of knowledge. Developing problem-solving is one of the fundamental educational goals for STEM students. Reference [6] shows thatonly teaching mathematical methods will not develop problem solving skills. Students mustshape their own thought processes and they must be deliberate and reflective about the principlesand strategies they select for problem-solving [7]. The best way to develop problem solvingskills is to challenge students with real-world problems where students learn to solve problemsthrough applying analytical methods, establishing criterion, applying new approaches, using bothformal and compiled knowledge, and verifying and validating the effectiveness of
that the insidetemperature was suitable for a puppy (less than 32 C) when the outside structure is “out in thesun” (exposed to a heat lamp) for 30 minutes. Several different types of building materials wereavailable for purchase for the students, including items such as cardboard, foil, foam core board,and other items. If students have completed a science section covering colors and their propertiesof absorbing or reflecting light (as have these middle schoolers), the project should reinforce thatsubject matter. A discussion on the concept of the flow of heat energy was also conducted priorto the project start. After the students tested their dog houses, they were given a chance to makedesign revisions based on their results. Students
of presentations and team interactions, self-assessment of participation activities and direct feedback from students. Student knowledge oftopics presented during the semester was assessed by traditional methods: a midterm, announcedquizzes (in a group setting), a final exam and a scholarly paper. Students were also asked to submitlecture critiques twice during the semester. All students had the opportunity to assess their peers’presentations. Their input was factored into the final grade that each group received for theirpreliminary presentation. Participation was assessed by requesting the students to submit aparticipation log and engage in self-reflection of their contributions to class discussions twiceduring the semester (at the same
course express an intention to continue computer science education at a local community college. We found that many students enjoyed creating programs and were proud of their success in creating these programs. Based on written reflections. Many of our undergraduate student assistants state that they learned a tremendous amount from this experience. We also observe improved teaching and communication skills.1 Program OverviewOur four-week introductory computer programming course follows a university-style schedule:two ninety minute lecture periods per week along with a separate weekly two hour lab session.Lecturers from California Polytechnic State University, San Luis Obispo (Cal Poly), serve both ascourse designers
of Institutions of HigherEducation [1]. As the 4th largest academic unit on VCU’s campus, the School of Engineering iscomprised of 2,000 students with demographics that reflect the diverse community in which itserves. The development of collaborations such as public-private partnerships and projects withlocal communities has been VCU Engineering’s essential ingredient for talent development, notonly because of well-established relationships with the business community, but also becausethese community partnerships give way to a continuum of college-bound students that translatesinto a sustainable diverse STEM pipeline. The desire to expand the number of public-privatepartnerships within the local community, however, presents both
context to the data. The memos will also capture researcher reflections anddecision-making processes during analysis. The memos may also provide details about thecommunity and participants.Preliminary ResultsThis work in progress is transitioning from secondary to final data analysis. At this point, thereare five categories which will help develop themes for this research. One category linksengineering as a cultural strategy to survive. Another category points to engineering as a processfor community development. A third category maps Tohono O’odham values to engineeringdesign traits. Two other categories are not directly associated to engineering but rather tocommunity self-perceptions as a result of engineering impacts.SignificanceQualitative
engaging students in interdisciplinary /multidisciplinaryundergraduate research activities. This goal is also fully aligned with the Universitymission that states "FVSU mission is to promote academic excellence for theimprovement of the quality of life for the people it serves"Statement of SignificanceFor the first time, the computer science program at FVSU is planning to conduct a majoreffort to improve and enhance programming knowledge and skills of its students whileprogressing through the program, enhance retention and graduation rates, and engagestudents in enrichment programs. The significance of this project is as follows: 1. Enhance the course curricula of all CS upper level courses (3xxx/4xxx) to reflect the most current
consideration of higher level factors and strategy. The benefit of this approach isto change the thought process of students and elevate their viewpoints to a higher and morecomprehensive level.There are positive feedbacks from students regarding the work on the case study. The realbenefit comes from students’ reflection on different decision-making situations during classdiscussions and case study presentations. They have embrace more elevated level of economic,technical, and business issues in their discussions. However, there was one issue that caused thefaculty to consider further improvement of the case study. This issue was the lack of globalperspective in the investment strategies students have developed. Most of the case workpresented by
engineers to theentrepreneurial mindset. This paper will review in depth three different modules created and presented to students.The projects vary from elective courses (intro to biotechnology and polymer science) to requiredcourses (heat transfer operations and process design). The projects included an attempt to explorea contrarian viewpoint by evaluating “bad” plastics, design of a shower without electricity and thedesign of a heat exchanger for commercial scale brewery. The projects were all evaluated usingstudent surveys and post implementation reflection by the faculty. The authors believe these samemodules can be implemented in similar classes at other institutions with equal success.Background The National Academy of
internshipfor at least one semester during the 2017-2018 school year. The questionnaire will requestdemographic data, ratings of the internship administration, ratings on work environment, andsuggestions for improvement. For sport coaches/assistant participants, the questionnaire will beused to assess the supervised students’ performance but more effectively used to gather feedbackon the program structure overall.Lessons from Pilot Semester The pilot phase of the internship program ended December 2017. Assessments to capturepost participation viewpoints from interns and supervisors are in development and will besubmitted to the Institutional Review Board (IRB) for review. Still, reflections by Dr. Burch andDr. Young yield several preliminary
information and resources to aid in the information gathering phase ofthe design process. In addition to the engineering and science concepts relevant to the project,the online lectures provided information regarding project management techniques such as workbreakdown structure, network diagram, Gantt chart, and bill of materials. To close the designcycle, students are asked to make brief presentations on their designs to the class before theycomplete the distance trial. This metacognitive exercise enables the teams to reflect on what theydid during the term and provides an opportunity to share their experience with others in thesection. They are asked to address the following questions: 1. Who are your group members and what is your car's name
, while identifying the cohort of the participant. All survey questions wereapproved by an external program evaluator (per NSF requirements) before they wereadministered using the free Google Forms product. The pre-program surveys were completedprior to WE2NG orientation, weekly surveys were completed at the end of each week, and, toallow time for reflection, post-program surveys were completed within two weeks after theprogram-end. For purposes of consistency, master teachers did not participate in these surveys.Surveys included both qualitative (written, non-numerical) and quantitative (raked, numerical)responses. The results presented in this study only consider numerical responses presented asaverage responses, representing the arithmetic
making apps isconsidered part of engineering”.Another participant indicated that the camp helped them to learn more about engineering. Hesaid:“I learned that there is a wide variety of engineering. I thought there was only, like, four parts ofengineering in the career section, but I learned that there is a lot more and they all do differentthings and it’s not just building stuff”.Another participant indicated a change in his understanding about how engineering can be used.He said:“I thought engineering was mostly math and like mechanical things but I didn’t know that youcan tailor engineering to business”.Shifts in Attitudes after Workshop CompletionResults reflect that participants’ attitudes towards engineering changed upon the completion
. We show how students' conceptualization of differentstakeholders was relational, in that the ways in which pregnant women were conceptualized wasentangled with how Target was conceptualized. We also argue that the way students constructvarious stakeholders over three focus group sessions constrained how they were able tounderstand any of the stakeholders as causing harm or being harmed.Introduction Engineering ethics educators have developed a wealth of curricula that engagesengineering students in learning about codes of ethics and micro-ethical issues. However, muchof these curricula does not engage how technology's design and implementation is reflective ofsociopolitical systems and never value-neutral or how ethical design
Paper ID #23905Exploring How Engineering Internships and Undergraduate Research Expe-riences Inform and Influence College Students’ Career Decisions and FuturePlansKayla Powers, Stanford UniversityDr. Helen L. Chen, Stanford University Helen L. Chen is a research scientist in the Designing Education Lab in the Department of Mechanical Engineering and the Director of ePortfolio Initiatives in the Office of the Registrar at Stanford University. Chen’s current research interests include: 1) engineering and entrepreneurship education; 2) the pedagogy of ePortfolios and reflective practice in higher education; and 3) reimagining
this outreach program isa focus on student engagement in the form of community service and service learning.In embarking on service learning in engineering, faculty at Northeastern looked at other hallmarkprograms and research to prepare. Bringle and Harcher define service-learning as “a course-based, credit-bearing, educational experience in which students (a) participate in an organizedservice activity that meets identified community needs and (b) reflect on the service activity insuch a way as to gain further understanding of course content, a broader appreciation of thediscipline , and an enhanced sense of civic responsibility.”[2] There is a section in this work onfirst-year students, where there has been assessment showing significant