plans to revise their science standards in the next two years. As of April 2018, thedraft science standards proposed in Arizona reflect the NRC framework, although they do notdirectly parallel the NGSS. Pennsylvania did adopt new standards in 2012 for grades pre-K – 3,however these are comparable in engineering integration to the grades 4-12 standards already inplace during Moore’s analysis, and so are not considered a meaningful change for the purposesof this paper.There are 20 states (AR, CA, CT, DE, HI, IA, IL, KY, KS, MD, NH, NJ, NV, NY, OR, RI, VT,WA, WI, WY) that have effectively adopted the NGSS since their release in 2013. Many of thesestates adopted them under a different, state-specific name, and some added a few state
Paper ID #22573Tools for Creating and Managing Student TeamsDr. Eric M. Rice, Johns Hopkins University Eric Rice teaches management and communication courses in the Center of Leadership Education in the Whiting School of Engineering at Johns Hopkins University where he also directs the Graduate Non- Degree Program. A sociologist by training, he has used his knowledge of organizations in his teaching and consulting practice with financial institutions, unions, fortune 500 companies and not-for-profit or- ganizations to develop strategic plans, design programs, create management and instructor training and materials, and
Business Plan Competition at Farmingdale State College, spring 2017. Inspired by this research project, the team entered the Business Competition with the project named “STACK HOUSE”. The idea was to develop and market an educational coding toy to spark young girls’ interest in STEM. The team won the Long Island Business Plan Competition-regional level. It was the first time for_ Farmingdale State College students to win the grand prize at the regional level, product category level. The team won $10,000
importance that life-long learning and intellectual curiosity have on people’slives.Our experience has been largely positive and we plan to expand our capstone project list toinclude more such projects.Project #1: EZ Loader – Fall 2017This project was developed by five students enrolled in the Engineering Technology Department.Two of them graduated with a major in Mechanical Engineering Technology (MET), two with amajor in Electrical Engineering Technology (EET), and one with a major in EET with MEconcentration. The mechanical engineering majors designed and laid out the EZ Loaderprototype, including developing designs, machining, fabrication, and assembly for the mountingpoints, bevels, housings, the conveyor and the roller assembly. The electrical
the question below to establish a baseline.RQ1: What is the current balance between open content and traditionally publishedcontent in engineering mechanics courses?Second, in order to understand how the adoption of OER might be expanded in engineeringmechanics courses in the future, we ask the second research question.RQ2: What barriers exist to the adoption of open resources in engineering courses, andhow might those barriers be overcome?To address the above research questions, the authors developed a plan to gather data from twosources: the first is publicly available information regarding the required course materials fromrandomly selected institution websites; the second is a survey instrument distributed toinstructors of engineering
institutionscontinue to push their goals and strategic plans of increasing the science, technology,engineering, and mathematics (STEM) workforce. Attempts to increase STEM enrollment atUniversities consistently include the same concepts; bridge programs, learning communities,research experiences and group projects [1]. While attempting to increase undergraduateretention of (URM), these experiences often focus solely on first-year students. In order to meettheir needs, diverse students must matriculate through the Colleges and Universities via thepipeline from secondary education to employment. NSF [2] reports show the attrition rates forblack and Hispanic or Latino students in STEM fields from 2007 to 2013 is low. When lookingat all the students earning
added during the review process to provide sufficient choices for review by content experts.It is planned to include one nonsense consideration in its final state. Rest et. al. described thatmeaningless items, or M-items, are used to detect unreliable data.9 M-items are items on theDIT2 that are written with similar complexity and vocabulary to the other considerations but arenot relevant to the dilemma in question.9 The nonsense items on the EPSRI will serve as M-items, and will be used to detect unreliable data from the data pool in the further validation studythat will be conducted.Instrument Content ValidationThe validation of the EPSRI followed the content validation process outlined by Devellis.10 Theprocess involves having people
classes with a letter grade of C- or better. Thelong-term assessment of this study will track the success rate among tutored students in thetargeted courses throughout the school year. We will also monitor the retention rate of studentswho have used the service in their freshman and sophomore years. Given that 60% of ouradmitted students drop out or change major during the first two years of their academic career[3], the service is expected to improve retention rate through offering support to students in theirfirst engineering classes.References:[1] “California State University Graduation Initiative 2025, CSU Systems and Campus Completion Goalsand Plans”, September 9, 2016. https://www2.calstate.edu/csu-system/why-the -CSU-matters/graduation
disciplines and student groups. The survey also included an open-ended responsecomponent that will also be analyzed for themes and in the context of the survey subscale results.We also plan to use the quantitative survey data to identify candidates for interviews to furtherunderstand the relationship of stress, engineering identity, and engineering culture. Interviewswill allow participants to describe their individual experiences and allow us to identify commonthemes and triggers of student stress, anxiety, and depression as related to being an engineeringstudent.Ultimately, the results of the study will produce recommendations for faculty, advisors, andadministrators, who directly impact the climate and reputation of engineering programs
imInternationalen Kontext” since 2002, Member of International Monitoring Committee in IGIP since 2004, Memberof Strategic Planning Committee of Education Society of the Institute of Electrical and Electronics Engineers, Inc(IEEE- EdSoc) since 2009, Board Member of “Global Council on Manufacturing and Management” (GCMM) since2004 and Director of Brazilian Network of Engineering (RBE) since 1998. He is also Member of Board ofGovernors of International Council for Engineering and Technology Education (INTERTECH) since 2000 andMember of Board of Governors of Education Society of the Institute of Electrical and Electronics Engineers, Inc(IEEE-EdSoc) since 2001.Prof. MELANY M. CIAMPIDr. Melany M. Ciampi is Professor of Electrical and Computer Engineering
Session ETD 506Figure 2: Photograph of the Golden Gate Bridge. (Max Pixel, n.d.)The builders of Tacoma narrows were under strong pressure to economize. The original plans forthe Tacoma Bridge Incorporated many safety features. These were considered to be tooexpensive at the time. The plans were revised by an award-winning engineer. Because thisnew design met existing code and it was much less expensive than the original design, it wasselected (Othmar, Kármán, & Woodruff, 1941). In 1936, construction costs were $6,400,000,adjusted for inflation $113,602,000Shortly after construction, the bridge began to rise and fall whenever there was moderate wind. Proceedings of the 2018 Conference for Industry and Education Collaboration
Paper ID #240942018 CoNECD - The Collaborative Network for Engineering and ComputingDiversity Conference: Crystal City, Virginia Apr 29Quantitative Analysis of Barriers to Completion of Engineering Degrees forFemale-Identifying and Under-Represented Minority StudentsNancy Mariano, Seattle University Nancy Mariano is a first generation college student, of Pacific Islander heritage, attending Seattle Uni- versity. She is currently majoring in Computer Science and minoring in Mathematics and is scheduled to graduate in June 2018. Upon graduation her plans are to spend two years gaining industry experience as a software engineer
propensity for innovative problem solving. The ESCPII is used as a predictivefactor and then a dependent variable in our research to determine whether students’ creativityand propensity for innovation predicts their college persistence or if the pedagogical practicessupport and cultivate creativity and propensity for innovation in community college engineeringand science students. Structurally, the CPPI-R is a questionnaire in which students respond toclose set questions associated with socio-demographics, type, duration, frequency, and usage ofpedagogical practices categorized as the three sub-constructs of (1) classroom and programperformance support, (2) college attendance support, and (3) program planning and executionsupport. These practices
spring2017, continuing through summer planning months and through the first course offering duringthe fall 2017 semester. This analysis is timely as the events have recently occurred and thedetails of each negotiation and adaptation are not yet obscured by the broad brush strokes ofinstitutional record.The bulk of data shared in this paper include auto-ethnographic observations and recollectionsbased on the lived experiences of the course instructor and coordinator, the assessment director,and supporting administrators and researchers (Ellis, Adams, & Bochner, 2011). Institutionalartifacts constitute a secondary source of data; they include presentation slides, emails and otherwritten communications, curricular flowcharts and other digital files
the United States, would be a cheap, viable resource touse in the remediation of heavy metals in water [45]. Melissa saw that there has been littleresearch into corn as a bio-sorbent for heavy metal, and saw the potential of it being used as anadsorbent. Thus, she proposed testing corn cobs for their effectiveness at removing Cadmiumfrom water.The proposal was approved by the NASA Space Grant Committee at NAU and Melissa startedworking on her research. While our study focuses on just one student, her situation is applicableto many others, who are more than likely experiencing similar struggles.Melissa has been meeting with her mentor once, every two weeks to discuss the plan. Mentorand mentee came up with a tentative schedule, plan for
?” Student Immigration into and within Engineering. Journal of Engineering Education, 2008. 97(2): p. 191-205.24. Trenor, J.M., et al., The relations of ethnicity to female engineering students' educational experiences and college and career plans in an ethnically diverse learning environment. Journal of engineering education, 2008. 97(4): p. 449-465.25. Brainard, S.G. and L. Carlin, A six‐year longitudinal study of undergraduate women in engineering and science. Journal of Engineering Education, 1998. 87(4): p. 369-375.26. Bell, A.E., et al., Stereotype threat and women's performance in engineering. Journal of Engineering Education, 2003. 92(4): p. 307-312.27. Foor, C.E., S.E. Walden, and D.A. Trytten, “I wish that
HW 2 due 9 Friday MOS transistors and CMOS digital logic HW 3 released Lab 2a: Basic useless box 10 Monday Introduction to Arduino programming; how your code interfaces with the “real world” 11 Wednesday Doing math with logic; how we build computers out of transistors Week 4 12 Friday Introduction to the LED cube; planning and debugging; suggestions for building your cube HW 3 due Lab 2b: Computerized useless box 13 Monday Midterm review Wednesday Midterm (Everything through the end of week 4, including the
connections between their introduction to new concepts,the application of those concepts in larger and more complex systems, and the opportunities toapply their gained knowledge and experience within an open-ended project. Discovery usescuriosity and imagination to build connections between fundamental phenomena and personalexperience. Discovery can be simply encapsulated within the statement of “What happens when .. .”, and allows for introduction to classroom concepts, experimental and analytical design.Development uses knowledge of these relationships discovered in the Discovery stage to developan experimental plan. This plan allows students to test hypotheses of system behavior and quantifyrelationships among variables, usually within an
students that they worked with in lab. Table 3 displays the results in order of whichbehaviors were most common. Note that this table includes all participants who participated inthe post-survey, regardless of whether they chose to participate in an interview or not. This wasdone to uncover a more comprehensive picture regarding mentors’ behaviors while mentoring,and because no comparison to the pre-survey was being drawn. The four most commonbehaviors include “sharing the big picture” and goals of the project with the REU student,organizing the research activities for the REU student, modifying the research plan/schedulebased on the student’s progress, and helping the REU student prepare a presentation. Table 3. Number of mentors reporting
were given a pre-testsite design exercise. A local site was introduced through maps, images and a description of civicand civil issues. Students were given a base map and a set of site-planning building blocksdrawn to scale including roads, structures, drainage systems, trees etc. and a stack of transparentpaper and colored markers. After four minutes to ‘investigate and think about ideas’ the studentshad 35 minutes to draw site-plan ideas. (Figure 1) Asked to ‘do as many different design ideasfor the site as you can in the time’, ‘write notes on the drawings’, and ‘move on to new ideaswhen you are ready’, the exercise context was purposefully casual and accompanied byconversation and laughter. Afterwards, a one-page survey assessed student
instructor is progressively scaling up the course toaccommodate larger numbers of students than what an instructor could handle in traditionaltechnical writing courses. In the fall 2017 semester, the instructor accommodated 50 students intwo sections, and in the spring 2018 semester, the instructor allowed that number to rise 75students across two sections. For the fall 2018 semester, the plan is to accommodate 100 studentsacross two sections. To assist the instructor in the mentoring and grading, the course uses a teamof undergraduate mentors. These undergraduates have excelled in the engineering writing course. While technical writing courses such as at the University of Texas at Austin [3] andengineering courses such as in the Mechanical
and anxiety due to lack ofknowledge in robotics; students’ level of interest or disinterest in robotics-based lessons; andappropriate lesson planning and pedagogical approaches of teachers. The knowledge aboutwhether students meet prerequisites is critical for teachers to predict the readiness and capabilitiesof their students and the potential circumstances they may encounter in the classroom. Hence, it isimportant to examine the prerequisites for middle school students to participate in robotics-basedmath and science lessons. Unfortunately, such investigations remain to be pursued.Emphasis on the abilities of learners to engage in and perform computational thinking, a conceptpopularized by Jeannette Wing [13], appears to be important to
emphasis in Public Policy and Administration from Boise State University. Her thesis was entitled, ”Nanomanufacturing Outside of the Lab: An Academic-Industry Partnership Case Study.” She also re- ceived her B.S. in Materials Science & Engineering from Boise State in 2014. In the Spring of 2016, Ann was recognized as part of the first cohort of University Innovation Fellows at Boise State, and has worked as a Fellow to collect and incorporate student feedback into future plans for makerspaces on the Boise State campus. As an undergraduate and graduate student, she has been involved with the Society of Women Engineers, and also taught a materials science laboratory course as a graduate teaching assis- tant. She has
distractions and can be effectively engaged in a focused research activity. The research internship is planned over 10 weeks of summer, and the student interns are assigned a graduate student mentor and a faculty advisor. This paper presents the details of this project, research and educational objectives, results obtained, and the student surveys assessing the outcomes. The planned research project is related to non-volatile resistive memory technologies, which are promising nano-scale technologies for information storage. In such technologies, the information is stored in a resistive form which is a state of a material that is non- volatile and also much more scalable as compared to the existing charge based storage technologies such
as used in ionthrusters. These systems are very relevant to the nation’s strategic plan and space explorationinitiatives. Models of plasma jets have shown also useful for flow control [29]. A previous REUstudent developed spectral solvers of Maxwell’s equations. Another helped developed thespectral Boltzmann solver. Another helped developed a data structure for the object-orientedprogram (OOP) to incorporate detailed particle physics in the computational cells of the solvers.The research is applicable to plasma devices from propulsion [30 - 32] to medicine [33], [34],treating wounds, sterilization, etc., using plasma-enhanced chemical vapor deposition [34].Materials applications include nano-tube formation [36] and materials synthesis [37
and computer engineering majors during the 2012-2016 period inthree cohorts. The scholarships were distributed among the disciplines based on enrollments.Identifying deficiencies before entering the program, monitoring scholars’ academic work afterjoining the program, helping them to succeed and retaining them through degree completionwere critical areas of consideration. Outstanding activities of the project included mentoring, 1-credit seminar, research, senior design, summer internships, tutoring, field trips and conferenceparticipation.MentoringEach scholar was assigned a faculty mentor, a graduate assistant, and senior undergraduatestudent peers in his/her major. The faculty mentor prepared a study plan with the scholar and metthe
techniques and assessment tools will be utilized toassess and improve engineering education at both the undergraduate and K-12 levels throughvaried techniques: i) undergraduate module lesson plans that are scalable to K-12 levels, ii) shortinformational video lessons created by undergraduates for K-12 students with accompanying in-person mentorship activities at local high schools and MakerSpaces, iii) pre- and post-testassessments of undergraduates’ and K-12 participating students’ AM knowledge, skills, andperceptions of self-efficacy, and iv) focus groups to learn about student concerns/learningchallenges. We will also track students institutionally and into their early careers to learn abouttheir use of AM technology
proper delivery of systems analysis and systems dynamics to engineeringstudents; the fact remains that these tools are extremely useful for someone who plans to becomea designer. Therefore, ways have to be found to enhance the understanding of systems’ thinking,and at the same time, to develop educational experiences that could efficiently improve learningoutcomes.2) Looking at risk management and uncertainty: Engineering design is carried out relying onincomplete data, imperfect models, often with unclear objectives, and other potential problemsand constraints. The effects of such uncertainties on the design of a project may have seriousconsequences unless proper safeguards have been undertaken based on probabilistic andstatistical approaches
environmental issues in particular. This method therefore avoids bias in the studentresponses, since leading questions were not posed. The interview questions asked students whatthey had been doing the previous year in courses, outside of classes, and summer internships.The interviews also asked questions about students’ views of social responsibility and futurecareer plans. The interviews were transcribed. Emergent themes related to the research questionsaround environmental issues were identified in the interview transcripts. The themes werediscussed by the two authors to establish convergent opinions.The relevant context of environmental opportunities at each of the three institutions initiallyattended by the environmentally-motivated students in
; and how to make the course topicsaccessible and meaningful. The paper begins with a discussion of course structure and content, including adescription of course projects from the first two offerings. An analysis of results from pre- andpost-surveys is then presented, and the article concludes with a summary of lessons learned and adescription of planned course improvements. Course structure and content The overriding goals were to inform students about energy production and consumptionpatterns, various technologies and their environmental consequences, and the pros and cons ofrenewable and nonrenewable energy systems. Other objectives were to provide astraightforward yet sophisticated appreciation of the negative effects