the effectiveness of the applied/active learning activities and to see ifthey correlate with an increase in later success in Engineering courses, we analyzed studentperformance in the Applied Mechanics I class. The current prerequisite to the AppliedMechanics I class is Physics for Engineers I. Before the redesign of Physics curriculum theprerequisite was PHYS 215, Engineering Physics I, which was a traditional Physics class. It washeavily oriented towards theory and the lab components were rather disjointed with thetheoretical learning activities. We compared the Applied Mechanics I class final grade pointaverage (which reflects all assignment grades, including homework, quizzes, and a total of threeexams) as a measure of the performance
study cited interest or skill in building or putting things togetheras reasons they could not become an engineer, suggesting that some students see engineering asfor builders or makers, but not for them. Other students said they could not become engineersbecause they were not creative or didn’t know how to ideate. Several students said they couldbecome engineers but would not because they planned to pursue another career of interest. It ispossible that all of these students might find engineering more appealing if they saw their ownskills and interests reflected in engineering. For example, we note that six girls and one boyplanned to become veterinarians; perhaps these students would be drawn toward engineering ifthey were aware of ways to
builders as an important experience they desired for themselves. For example,Batya, an 18 year old African-American girl who came to the program from a large city,explained that she took the time to reflect and think whether and how participation in theprogram would be beneficial to her. She described having conversations with her design teacherand several women in her family. Batya described that making and building was something thatshe was used to doing alongside her brothers: “Growing up I have all brothers. So being aroundgirls and doing stuff that I would normally do with boys, it, kind of I guess, not changes myperspective, but widens it. So, I might be more comfortable personally just working doing thingsthat I wouldn't normally do with
butalso TI ARM M4 series. The uC Training System (Rev 3) trainer board was designed, produced,and tested based on the demand from the academic community that acknowledged thatmicrocontroller course curricula need an advanced microcontroller platform to meet industrytechnical training demands. This was a direct reflection of the NSF I-Corp L project results.Lab Modules Design and Implementation Project Collaboration: With the new uC TrainingSystem Rev 3 Trainer Board specifications (Figure 7), The initial lab modules were created byOld Dominion University (ODU), Norfolk, Virginia and Farmingdale State College (FSC),Farmingdale, New York faculty as a team, and using the web portal managed by Ohio NorthernUniversity (ONU) faculty to facilitate the
samples of Senior Design Projects which reflect common studentprojects.Wireless Sensor NetworksA wireless sensor network consists of many wireless-capable sensor devices workingcollaboratively to achieve a shared goal [4]. A WSN may have one or multiple base-stationswhich collect data from all sensory devices. These base-stations serve as the interface throughwhich the WSN interacts with the outside world [2]. The basic premise of a WSN is to performnetworked sensing using many relatively rudimentary sensors instead of utilizing the moreconventional approach of developing a few expensive and sophisticated sensing modules [2].The potential advantage of networked sensing over the conventional approach, can besummarized as greater coverage, accuracy
, 1524601, and 1524607. Any opinions, findings and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References1. K. Schneider, A. Bickel, and A Morrison-Shetlar, “Planning and implementing a comprehensive student-centered research program for first-year STEM undergraduates,” Journal of College Science Teaching, vol. 44, no. 3, pp. 37-43, 2015.2. K. Schneider and A. Bickel, “Undergraduate research apprenticeship model: graduate students matched with STEM first-year mentees,” Council on Undergraduate Research Quarterly, vol. 36, no. 1, pp. 25-31, 2015.3. J. Frechtling. “The 2002 user-friendly handbook for project evaluation,” National
National Science Foundation for their support through a Graduate ResearchFellowship (DGE-1333468). Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.References[1] C. E. Foor, S. E. Walden, and D. A. Trytten, ““I wish that I belonged more in this whole engineering group:" Achieving individual diversity,” J. Eng. Educ., vol. 96, no. 2, pp. 103–115, 2007.[2] J. M. Smith and J. C. Lucena, “‘How do I show them I’m more than a person who can lift heavy things?’ the funds of knowledge of low income, first generation engineering students,” J. Women Minor. Sci. Eng., vol. 22, no. 3, pp. 199–221, 2016.[3
students to work cooperatively in interactive learning groups. Participants were then asked to complete an online Figure 1. Venturi survey administered over Qualtrics© at the end of the semester. flow meter The survey prompted participants to reflect on their LC- DLM instruction and report how well they believed being taught concepts with LC-DLM influenced their learning experience Figure 1. Venturi flow meter compared with other course concepts they learned with regular lectures in the same class. Participation in theexperiment was
knowledgeand skills that are crucial to succeed in creating high quality online learning environmentsbecause, as the famous quote from Joel Barker says, “When a paradigm shifts, everyone goesback to zero” and then “your past success guarantees nothing [1].”This is a reflective paper, in which I, the instructor (the first author), will narrate my experienceon transitioning from teaching in a face-to-face classroom to teach fully in an onlineenvironment. It will also explain how the support of an instructional designer (the second author)can make this transition smoother.About me, “the instructor”Before becoming an online instructor, I taught in face-to-face classrooms using teacher-centeredpractices and more recently the learner-centered (flipped
traumatic events are perceived and handled within engineering environments by allmembers of the engineering education community. Specifically, the messaging around emotionalexpression should be examined to determine what explicit and implicit barriers are constructed inengineering. Through advanced understanding in this area we can begin to create models thatsupport students through challenges that manifest in and out of the engineering classroom.AcknowledgmentsThis work was funded by grants from the National Science Foundation (EEC-1531586/1531174,DGE-1333468). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation. The
examine how intended student development goals for first-year engineering that are set by instructors, faculty, and administrators align with thestudent experiences as described by students.AcknowledgementsThis material is based upon work supported by the National Science Foundation underGrant Nos. 1664264 and 1664266. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.References[1] R. A. Ellis, “Is U.S. Science and technology adrift,” Washington, DC: Commission on Professionals in Science and Technology., 2007[2] M. Borrego, R. Brawner, “Preparing Engineering Educators for Engineering Education
as density, transitivity, and reciprocity in the network [2]. This approach is amethodological and pedagogical innovation because it has the potential to inform and providefeedback about the participants’ work, promote reflection on their collaborative practices andcontribute to cohesion, dialogue and the flow of knowledge within the team to continuouslyimprove the internalization of the new educational model.Keywords: Educational Change, Teacher Collaboration, Social Network Analysis, EducationalInnovationResearch Background and MotivationThis work-in-progress research is being carried out at a large multi-campus private university inMexico and focuses specifically on the area of engineering and sciences. The institution ischaracterized by
Nativeand Native Hawaiian or other Pacific Islander students was too low to draw meaningfulconclusions about racial differences in scholarship receipt. The source of these racial/ethnicdifferences is unknown. For instance, they might reflect different levels of opportunity forscholarships or differential application processes for scholarships, as we did not measure whetherstudents had applied for, but not received, a scholarship. The phi value indicates that this overalleffect size for the distribution of scholarships across race/ethnicity was small.Research Question 2With respect to research question 2, there were statistically significant differences in motivationbetween scholarship recipients and non-recipients. More specifically, independent
prefect researches.References[1] X. Liu, “An analysis of some concepts about general education,” Journal of Higher Education,vol. 27, no. 3, pp. 64-68, 2006.[2] L. Chen, “ Idea and Practice: Writing Seminar in Yale University,” International andComparative Education, no. 1, pp. 32-38, 2019.[3] Y. Han, “The General Education Curriculum Reform in Chinese Universities under theBackground of Internationalization,” Journal of National Academy of Education Administration,no. 11, pp. 32-37, 2017.[4] G. Xie, “Strengthening and Promoting General Education,” China University Teaching, no.3, pp. 71-73, 2008.[5] M. Li, “Reflection on the Philosophy and the Operational System of General Education inChinese Universities: 1995-2005,” vol. 4, no. 3, pp. 86-99
presentations were designed to help students to start visualizing themselvesas engineers or improve their engineering recognition and caring. Fifth, the students were alsoasked to develop cardboard chairs for their final team project. Students work together in teamsto develop the chairs and then present their chair to the class. This project was designed to helpstudents improve their engineering performance/competence, interest, creativity, and designefficacy. Lastly, students were required to complete weekly homework assignments where theypersonally reflect on topics such as their engineering interests, study plan, and any barriers theycan foresee that might prevent them from becoming an engineer. These were designed toimprove their engineering
in a STEM outreach program, it stands to reason that STEM outreach programs canbe helpful in strengthening grit in younger female students as grit is best when developed at ayounger age [18].AcknowledgmentsOpinions, findings, conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation. Thismaterial is based upon work that was partly funded by the National Science Foundation undergrant number IIA1301726.References[1] Kuenzi, J. J. (2008). Science, technology, engineering, and mathematics (STEM) education: Background, federal policy, and legislative action. Washington, DC: Congressional Research Service.[2] National Academy of
small groups (60 min total). Results from the Repeated-Measures Analysis of Variance (RM-ANOVA) demonstrated that participants reported higherperceived ability to engage in scientific learning processes (d = .17) and in science learningbehaviors (d = 0.15). Both theoretical and practical implications are discussed.Objective Self-efficacy is the judgement an individual makes regarding their ability to performvarious tasks and this judgement is domain and task specific (Bandura, 1977, 1982). Since theway in which people act, think, and feel, is a direct reflection of their own beliefs in theircapabilities, learners’ beliefs promote both engagement and learning (Linnenbrink & Pintrich,2003), as well as long-term achievement (Parker
. • REU Collaboration: The REU program joined another REU program site to build unity, professional skills, and share research. The REUs were then exposed to different types of research as well as receive feedback from a different perspective. • Electronic Portfolios (e-portfolios): Students used e-portfolios to document their deliverables, experiences, and research throughout the ten weeks. The REU Program selected the Portfolium platform due to its similarity to other social media sites. Students created ten posts that focused on reflection. Posts included descriptions, teammate tagging, and the skills learned. The intention was for students to develop stronger transferable skills [3
guidance thatsignificantly strengthened this work.This material is based upon work supported by the National Science Foundation under Grant No. 1830814. Anyopinions, findings, and conclusions or recommendations expressed in this material are those of the authors anddo not necessarily reflect the views of the National Science Foundation.References[1] C. L. McNeely and K. H. Fealing, “Moving the Needle, Raising Consciousness: The Science and Practice of Broadening Participation,” Am. Behav. Sci., vol. 62, no. 5, pp. 551–562, May 2018.[2] L. Smith-Doerr, S. N. Alegria, and T. Sacco, “How Diversity Matters in the US Science and Engineering Workforce: A Critical Review Considering Integration in Teams, Fields, and Organizational Contexts
artifact(the mood ring). Project 2 will be a computer-based design implementation using 3-D modelingto support online game design and programming.Outcome of the workshop will also be reflected in participant behavior and hands-on applicationof gained knowledge and skills (we will have to include evaluation plan). Participants will gainexperience in using freely available and popular software tools.The Electronic Mood RingThe original Mood Rings were popular in the 1960s and 1970s; they included a special type ofmaterial that changes color in response to heat. As body heat warmed up the ring, it wouldchange from dark to brown to yellow to green to blue. The electronic ring that girls were askedto design is similar, but it uses a temperature sensor
closely reflects the user experience when navigatingto dual-stack sites. Once the measurements are completed, they are sent to a central server forstorage and eventual analysis.The 197 IPv6 reachable domains were polled at 60-minute intervals for a period of 24 hoursfrom four network monitoring agents deployed in Toronto, New York City, and San Francisco.The use of multiple agent location vantage points helps avoid biases associated with anindividual location. The agents at each location were deployed in Virtual Machines (VMs)hosted by Digital Ocean. Each VM ran on CentOS 7.3 with 1 CPU, 512MB of memory, 20GB ofstorage on a Solid-State Drive (SSD), 1TB of transfer data, and was enabled for both IPv4 andIPv6. Digital Ocean was chosen as the
has indeed shifted from broad domains ordomains that are related to entrepreneurial mindset to specific dimensions, such as those found in anypsychometric protocol. Furthermore, this particular sentiment is mimicked by the strict and more moderndefining of the entrepreneurial mindset as being one that “reflects deep cognitive phenomena,” including“particularly deep beliefs and assumptions” (Krueger, 2015). This increased rigor in the definition ofentrepreneurial mindset coupled with an expansion of survey instruments designed to create dimensionsendemic to it is promising, but it is still too early to determine the future of this line of study.In the spirit of sharing our work, we have composed this brief work-in-progress as an addendum to
then move to modify place-ment exams, curriculum, faculty attitudes, or pedagogy training as needed.Math PlacementAlthough many universities use SAT, ACT, or some other standardized placement exam todetermine if students will be successful in certain math courses, it has been reported thatthese scores under-predict the grades for female students [1]. In their article, Kessel and Linn[1] claim that college admissions officers may be missing talented females if they are relyingheavily on ACT and SAT scores. Their article points out that “females report spending moretime reflecting on similarities among problems, organizing and linking their ideas, and review-ing material” and because of this, they tend to be less able to demonstrate speed and
the P3 projects.• “The team and the project itself truly reflect the spirit of the University, with people from many different backgrounds and majors coming together to create a novel interdisciplinary answer to a major problem. I still can’t believe how far the team has come since the Phase I proposal, and I can’t wait to see where we can go in the future.”• “It was my first ever project in this research group and I loved it, I wanted to support innovative answers to real-world problems.”• “Not only could we meet other competing teams and people from EPA, NASA, Lockheed, and other big names, we were able to reach out to and inspire K-12 students who were interested in the STEAM fields,”• “While biotechnology is my
mentor and mentee responses, showedstudents perceived significant differences in their own gains in analyzing data, thinkingcreatively, and working independently. This is not particularly surprising: research has foundself-ratings of traits, abilities, performance, or leadership typically be higher than the ratingsprovided by observers [13, 14]. Interestingly, literature also assert that such a self-enhancementbias may be psychologically healthy in that it reflects positive self-evaluation and results in bothfewer negative thoughts and also higher expectancies for success in new endeavors [13,14].Table 1. Summary results of descriptive statistics and 2-sample t-test statistical analysis.Research skills marked with * indicate those with
underrepresented groups (4%).Creativity increased over the course of the semester: Our data was accepted to be normallydistributed by Kolmogorov-Smirnov test. There were no statistically significant beginning-of-semester differences by any assessment between the control and intervention sections byunpaired t-test. Further, the overall scores for end-of-course evaluations did not differ betweenthe semesters (p=0.46; effect size, Cohen’s d=0.02).Regardless of course section, control or intervention, there was a significant improvement by theend of the semester in the fluency, flexibility, and originality aspects of creativity (Table 1).These changes reflect those seen by us in a first-year engineering course with an authentic designexperience [1], though
SATA USA, LLC for their valuablesuggestions and partnership in CMM training and development.References [1] Bureau of Labor Statistics, “Job openings and labor turnover survey,” August 7, 2018. [2] 2018 Deloitte and The Manufacturing Institute skills gap and future work study, https://www2.deloitte.com/us/en/pages/manufacturing/articles/future-of-manufacturing- skills-gap-study.html. [3] The University of Texas Rio Grande Valley http://www.utrgv.edu/en-us/ [4] The University of Texas Rio Grande Valley - Engineering Technology program http://www.utrgv.edu/_files/documents/admissions/undergraduate/dp-engineering- technology-bs.pdf [5] Fornaro, R.J., Heil, M.R, and Alan L. Tharp, A. L., 2006, “Reflections
this study, these video data provedindispensable, allowing us to observe and analyze the interactions and behaviors of the youth asthey navigated through their engineering successes and failures.The eight groups of youth captured on video were also asked to participate in a brief focus groupat the conclusion of their final activity. Having spent considerable time working together, weasked participants to reflect as a group on their engineering experiences. Researchers facilitatedthe focus groups and captured them on video. These conversations shed light on youths’perceptions of their engineering work, and their thoughts about engineering as a possible careerchoice.A survey of youths’ engineering interests and attitudes (EIA) was also completed
with those observed for situation where an intervention has beenimplemented: there is an overall improvement of scores, with some specific factors (questions)being more influential than others. Particularly, single factors were identified for two of themeasurement of improvement used: Raw and Tier, but multiple factors are needed for apredictive model using Percentage as improvement indicator. It is of interest as well that the one-factor models identify question that belong to the same subset, questions that require rotationabout at least two axes in order to have a correct answer. Thus reflecting the importance of suchexercises for spatial visualization skills.In terms of demographic parameters, the results indicate that they do not have a
where students design their ships and can analyze data likeweight and center of gravity.The designers of FLEET ensure every aspect of the game is authentic to the work of engineers.As shown in Figure 2, the flow of the FLEET interface reflects the cyclical nature of engineeringdesign processes. Students first receive an overview of the mission, then design a ship in thedrydock to meet the mission requirements and objectives. Students proceed to test their shipeither in the full mission or in shorter tests focused on different aspects of ship capability. Testsand missions end with a summary screen giving data on ship performance, such as time spent,number of collisions, and points scored. Students use this data to improve their ship design