significant writing demands tobolster the education about and policing of proper citations, plagiarism, and academic integrity ingeneral. These shifts in student responses for Scenarios 1 (Writing:verbatim, no citation) and 8(Figure: copy, no citation) may reflect effectiveness of the faculty efforts. Initial analysis offaculty responses for East Carolina University over the three years (Figure 4) include only onesignificant difference at the 95% CI for Scenario 16, though examination of the individualresponses reveals a single outlier that appears to be a likely response error, in that it isincongruent with that respondents’ other ratings. Smaller sample sizes for faculty responsescontribute to the lack of ascribing significance to these
. Instead, a newseries of assignments asked students to reflect on their understanding of what it means to be achangemaking engineer, and to identify situations where the methods and models of ISYE 340could be used to effect positive change.Revising Lecture MaterialsTo meet the goals of the RED project, RED topics should be introduced into the course whilecontinuing to meet the primary course learning objectives. One way to achieve this is tointroduce common OR models by using RED contexts. For example, the characteristics of LPsmight be introduced using a two-variable example of growing corn or wheat with limitedresources of time, water and fertilizer. The scenario is easily understood but might seem quaintto U.S. students who envision large
authors and do not necessarily reflect the views of the National ScienceFoundation.References1. Committee on Equal Opportunities in Science and Engineering, “Broadening participation in America’s STEM workforce: 2011–2012 biennial report to Congress,” National Science Foundation, Arlington, VA, 2014. Retrieved from https://www.nsf.gov/od/oia/activities/ceose/reports/Full_2011- 2012_CEOSE_Report_to_Congress_Final_03-04-2014.pdf2. S. Hurtado, K. Eagan, and M. Chang, “Degrees of success: Bachelor’s degree completion rates among initial STEM majors,” Higher Education Research Institute at UCLA, 2010.3. M. Ong, C. Wright, L. Espinosa, and G. Orfield, “Inside the double bind: A synthesis of empirical research on undergraduate and graduate
3 4 Business risk assessment is the business manager’s responsibility 4 5 I like to learn about entrepreneurship comparison 6 Every time I fail a task, I reflect on why I failed so that I can learn how to do better in the future 6 7 I understand why a monopolistic market is usually not favorable to consumers 7 8 I consider how multiple changes affect each other 8 9 I am confident in leading a team to work on a project
well as the barriers theyperceive to doing so. Results indicated that most elementary teachers support the inclusion ofengineering within the science standards for elementary grades. Teachers describe lack ofpreservice and in-service training, lack of background knowledge, lack of materials, lack of timefor planning and implementing lessons, and lack of administrative support as barriers toimplementing engineering activities within their classrooms.*The views and opinions of the speaker expressed herein do not necessarily state or reflect thoseof the U.S. Government or any agency thereof.Introduction The Next Generation Science Standards (NGSS) incorporated engineering practices intoK-12 science standards [1], and because NGSS calls for
teaching the first-year and many of thesophomore courses each year versus the most senior faculty 6 years ago. The improved teachingquality and training on developing rapport with students has an impact on improved retentionfrom first-year to sophomore year.Special Needs. The engineering leadership has developed a unique relationship with the directorof students with special needs. The faculty attending the mini-ExCEEd teaching workshopreceive pedagogical training to vary their teaching to meet the learning styles of students (activevs. reflective, sequential vs. global, sensory vs. intuitive, verbal vs. visual). When faculty ensureeach lesson allows a student to learn some content in a preferred style, it assists each student’slevel of
these efforts to be reflected in faculty and staff participation in the academic year ahead.• Ensuring print quality and overall quality control. 3D printers are the most popular technology housed in the space, and consequently are the machines used most often. As a result, regular maintenance is required to ensure acceptable print quality. In the first semester of operation few visitors knew how to use the software necessary to 3D print objects. Because of this, most 3D printing, including prints for visitors, was completed by staff members. This proved to be challenging for the six staff members for two reasons: 1) print preferences and personal settings varied considerably; and 2) the first printers were largely
positioned asone who generates new ideas and is described with verbs such as reflecting, integrating, and self-explaining. Actively engaged students are similar to constructively engaged students; however,they differ in that actively engaged students manipulate content material without generating newideas or concepts. Activities carried out by these students are often described by verbs such asrepeat, rehearse, and copy. Lastly, passively engaged students are instruction-oriented andreceive information through listening, reading and watching. Importantly, these modes ofengagement are not rigid categories used to describe students. Individuals may demonstrate arange of engagement modes and behaviors throughout their learning, and may engage
Grant No.1635534. 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.References[1] ASCE, Civil Engineering Body of Knowledge for the 21st Century: Preparing the Civil Engineer for the Future, Second Edition. Reston, VA: American Society of Civil Engineers, 2008.[2] P. A. Vesilind and A. S. Gunn, “Sustainable development and the ASCE Code of Ethics,” J. Prof. Issues Eng. Educ. Pract., vol. 124, no. 3, pp. 72–74, 1998.[3] R. K. comments, “10 projections for the global population in 2050,” Pew Research Center, 03-Feb-2014. .[4] S. J. Davis, K. Caldeira, and H. D. Matthews, “Future CO2 Emissions and
experience.Assumptions: When asked to reflect on any underlying assumptions or perceptions the students may havebrought with them into the collaboration with the prompt, “what assumptions or perceptions didyou have about your counterparts prior to the experience?” Two themes emerged from thestudent responses: 1) No Assumptions and 2) Unhelpfulness (Table 4)Table 4: Summary of Assumption Themes Prompt: What assumptions or perceptions did you have about your counterparts prior to the experience? Assumption Themes Description A lack of awareness regarding counterparts prevented any No Assumptions preconceptions. The differences between the two groups of students
), electroencephalogram (EEG), and functional magnetic resonance imaging(fMRI). fNIRS can be worn as a cap and the sources on the cap emit near-infrared light in thespectrum of 700-900nm into the cortex. Hemoglobin absorbs more light than water and othertissue in the brain. Increase in hemoglobin in the brain is associated with an increase in cognitiveactivity [24]. The light which is not absorbed is reflected back to the detectors on the cap. Thedifferent absorption spectra of oxy-hemoglobin and deoxy-hemoglobin make it possible todescribe activated brain regions and cognitive activities through the change in hemoglobinconcentration, or Blood Oxygenation Level Dependent (BOLD) response.fMRI similarly measures activity indirectly through changes in hemoglobin in
key course-specificmetrics common to the evaluations in both the J-Term and spring versions of the course, and wehave summarized some representative student comments from each of the terms. Quantitativeresponses were based on a 5-point Likert response (5 = strongly agree, 3 = neutral, and 1 =strongly disagree) to the following statements: “I learned a great deal in this course,” and“Overall, this was a worthwhile course” (Table 3). Mean responses reflect a weighted averagebased upon the number of students assigning a specific score, and standard deviations werecalculated according to the same weights.Table 3: Summary of anonymous end-of-course feedback for each term (5-point Likert scale).Academic Percent com- Learned a great deal
eight schools, while they would be electives in most U.S. schools.Such is also the case for the compiler course. This reflects an emphasis on the engineering orapplication nature of the curriculum.6. Math, sciences, and engineering course requirementsWe follow a similar pattern to examine the math, sciences, and engineering course requirementfor the computer science programs in these eight schools. We first look at the math requirement.Table 4 lists math hours, as well as course count, credits, and total math hours required of theeight computer science programs. Table 4: Math requirement (semester hours) Tsinghua SJTU SEU PKU BUPT HIT USTC BUAA Calculus I
., vol. 13, no. 2, pp. 96–124, 2014.[19] R. R. Bailey, A. K. Swan, A. Coso, M. F. Creager, and H. T. Rowan-Kenyon, “The role of gender in student perceptions of leadership on interdisciplinary engineering teams,” J. Women Minor. Sci. Eng., vol. 18, no. 2, pp. 97–113, 2012.[20] E. A. Flynn, G. Savage, M. Penti, C. Brown, and S. Watke, “Gender and Modes of Collaboration in a Chemical Engineering Design Course,” J. Bus. Tech. Commun., 1991.[21] S. B. Berenson, K. M. Slaten, L. Williams, and C.-W. Ho, “Voices of women in a software engineering course: Reflections on collaboration,” J. Educ. Resour. Comput., vol. 4, no. 1, p. 3–es, 2005.[22] K. Beddoes and G. Panther, “Gender and teamwork: An analysis of professors
planar density calculationDetermine the expected diffraction angle for the Check for understanding: Demonstratefirst order reflection of the (111) set of planes in understanding of diffraction calculations andcopper, and locate the corresponding peak in the ability to perform relevant calculationsdiffraction patternLab 4: Molecular weight of polymersStudents completed this lab as their first introduction to the ideas of number and weight averagemolecular weight, there was no preparatory lecture or video. Following the lab, the concepts wereapplied to real polymeric materials and expanded upon in lecture.Supplies • Bags of 100 paper clips • Scales • Worksheet describing number and weight average molecular weight
and major Design Stem development of required courses as seen in Figure 6.Freshmen starting in Fall 2011 were the first to see the Computer Aided Design, MechanicalDesign I, and Mechanical Design II (ME 170, ME 370 and ME 371, respectively) improvements.The freshmen starting in Fall 2014 were the first class to see an integrated hands-on designsequence in all four years since Design for Manufacturability (ME 270) was first introduced tosophomores in Fall 2015. It should be noted that the four-year retention does not includestudents who transferred to other majors, and students who took longer than four years tograduate. While many factors influence student retention, the increase in retention is nonethelesspositive and reflects one of the
physicallydemanding for both the students and him – he was lecturing for almost five hours twice a weekand the students were expected to pay attention for an inordinate amount of time, but given verylittle time to absorb the material and practice problem solving. While there were clear learningobstacles to overcome in the class, it was even more challenging for part-time students who wereeither working to support themselves financially or doing an internship. Consider the followingtwo anonymous comments from students of the Summer 2015 class, which are reflective of someof the difficulties faced by the students: 1. Less homework. It’s impossible to finish if you work and have other priorities in life. 2. The difficulty of the class. The home works were
(SVE)experiences. The attendees self-organized into two tables. They were asked to “identify anddiscuss common challenges veteran and military students face” to address the followingquestions: • How can ASEE build early awareness of engineering technology, engineering technologist, and engineering pathways? • How can ASEE ensure academic recognition for prior military work experience? • How can ASEE provide seamless support from government agencies, academic institutions, and industry?Each participant silently reflected and wrote their ideas as they related to the prompts on stickynotes. At the end of the session, the session leaders reorganized the notes into initiativecategories, as applicable. As
]need to implement a rigorous system of evaluation of their pedagogical assessments through theuse of a measurement model that makes such demands on the data. To that end, theimplementation of Rasch measurement models will provide robust validation for the measures ofstudent learning outcomes, which in turn can improve course curricula by accurately targetingdomains and transferable skillsets critical to the development of this generation’s chemicalengineers.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.DUE 1712186. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the
in this material are those ofthe authors and do not necessarily reflect the views of the National Science Foundation. Thework was initiated through a STEM Collaborative grant awarded by the Leona M. and Harry B.Helmsley Charitable Trust. Development of the freshman engineering course was also supportedby the Boeing Company and by a STEM grant from the Office of Naval Research (ContractNumber N00014-15-1-2434). The authors are also grateful for support from the Provost’s Officefor the FYrE program, and to Professor Monika Kress of the Department of Physics andAstronomy at San José State University, who provided insight on her pre-physics coursedevelopment. Finally, the contributions of the entire FYrE faculty and staff team, notably DebbieWon
”. Journal of Counseling Psychology, 57(1), 2010, p. 23.[17] S. Porter & P. Umbach, “College major choice: An analysis of person–environment fit”. Research in higher education, 47(4), 2006, pp. 429-449.[18] J. Holland, Making vocational choices: A theory of vocational personalities and work environments. Psychological Assessment Resources, 1997.[19] K. Rask & J. Tiefenthaler, “The role of grade sensitivity in explaining the gender imbalance in undergraduate economics”. Economics of Education Review, 27(6), 2008, pp. 676-687.[20] M. Anderson & J. Swazey, “Reflections on the graduate student experience: An overview”. New directions for higher education, 1998(101), 3-13.[21] G. Malaney, “Why
14/15 ME 2/6 4/7(A) Prototyping tool usage: Department-specific tool use in EE projects increasedsignificantly from before-PIDS at 5.7 (SD 2.5) to after-PIDS at 9.6 (SD 2.6); t(9) = 3.63, p =0.003 (Figure 1). Department-specific tool use among ME projects experienced a small, butsignificant increase from 6.8 (SD 2.0) to 8.9, (SD 2.1); t(17) = 2.45, p = .012 (Figure 1). Figure 1. Tool usage among department-specific projects.Within EE, the increase in tool use reflects an increase in both the number of tools used by eachteam and the proficiency of tool use. All tools were used by a larger percentage of teams after thedesign studio; the largest gains were made among
failure, and seek out growth opportunities.Similarly, Cutts, et. al18, conducted a study in their introductory programming course at theUniversity of Glasgow. Students in the course received one or more of three tools designed to be“mindset interventions,” i.e., to help students shift from a fixed to a growth mindset. The firsttool was a series of workshops taught by the tutors, guiding the students in reflecting on theirexperiences so far in the course and how they fit into a fixed or growth mindset. The second toolwas a handout listing resources, tools, and tips successful computing students frequently use toget unstuck. This handout would be referenced by the tutors whenever they helped a student,guiding them towards a recognition that they
@usafa.edu Lt Col Cory Cooper, Ph.D. cory.cooper@usafa.edu Capt Kalyn Tung, M.S. kalyn.tung@usafa.eduDisclaimer: The views expressed in this article are those of the authors and do not necessarily reflect theofficial policy or position of the United States Air Force Academy, the Air Force, the Department ofDefense, or the U.S. Government. Distribution A. Approved for public release, USAFA-DF-2018-96:distribution unlimited.References[1] ABET, “Criteria for Accrediting Engineering Programs, 2018-2019,” 2017. [Online]. Available:http://www.abet.org/wp-content/uploads/2017/12/E001-18-19-EAC-Criteria-11-29-17-FINAL_updated1218.pdf. [Accessed: Jan 18, 2018].[2] Scott, B., and J. Bartolomei. "US Air Force Academy Launches
a differentperspective of how a student’s URM identity could affect their progress towards degree completion. Finally,it provides institutions with recommendations on how to improve their support for students towards doctoraldegree completion. Acknowledgements This research was supported by the National Science Foundation under Award No. 1723314. Anyopinions, findings and conclusions or recommendations expressed in this material are those of the authorsand do not necessarily reflect the views of the National Science Foundation. References [1] M. Sana, “Immigrants and natives in US science and engineering occupations, 1994–2006,” Demography, vol. 47, no. 3, pp. 801–820, 2010. [2] “Engage to Excel: Producing One
thismaterial are those of the authors and do not necessarily reflect the views of the NSF. The authorsacknowledge the larger research study team including Amy Arnolds for her help with intercoderwork. We also thank our study participants and partner school liaisons.References[1] C. Amelink, and E. G. Creamer, “Gender differences in elements of the undergraduate experience that influence satisfaction with the engineering major and the intent to pursue engineering as a career,” Journal of Engineering Education, vol. 99, no. 1, pp. 81-92, 2010.[2] S. Sheppard, S. Gilmartin, H. L. Chen, K. Donaldson, G. Lichtenstein, O. Eris, M. Lande, and G. Toye, “Exploring the engineering student experience: Findings from the Academic Pathways
theadvantage of one of the largest and most diverse populations of learners in the state of Florida. TheBC and PBSC student populations reflect the socioeconomic and ethnic diversity of the SouthFlorida area, with a majority of the enrolled students hailing from minority backgrounds.The articulation program has intended to build a sustainable and growing pipeline of studentsenrolling in Computer Engineering and Computer Science majors. The implementation of theprogram has centered on student success. As we prepared the program, we asked, “What dostudents need to successfully decide/get into college?” In addition to the reducing the worryabout how they would pay for College, we recognized that students need support in terms ofmentoring and advising
identified as Asian, Hispanic or White. As stated previously this may reflect thestudents’ willingness to participate in engineering’s culture, although at this time no conclusiveevidence, and presents a clear arena for future work.Out-degreeHaving established that social structure was receptive to diverse interactions, we tested to see if aparticular racial group was more socially active than their peers. The descriptive statistics (Table3) suggest that out-degree behavior is highly volatile (large standard deviations and range),positively skewed and extremely leptokurtic. KW testing (H(5) = 5.6179, p = .3452) concludesthat out-degree values are not dependent on the students’ racial/ ethnicity identification. Table 3: Descriptive statistics for
preferred if the report was due before the exam, so we all get a chance to really think and analyze the process. The math would be good practice for the exam as well. The demonstration was confusing at first, but I feel like struggling my way through it really helped me understand the concepts. It was helpful to be required to solve these equations and calculate actual values. It was, however, do to inconsistent data, unhelpful to get values that were no reflective of reality. Yes, the hands on nature of directly seeing the effects of the energy balance helped me understand the equation visually and mentally. It helped me in setting up a problem to solve for the friction of the system. I believe I could have
student development and transfer into engineering.Participants were recruited from the 2013 to 2016 cohorts through a recruitment email explainingthe purpose of the study. Two focus groups of six participants each were conducted, lastingapproximately 75 minutes each. Focus group participants provided their consent for recordingthe session. Following an introduction, overview of the study, and completion of the IRB consentforms, the focus group facilitator engaged the students in a series of discussion questions andactivities, encouraging students to reflect on and share about their experiences in the FYSEprogram. After the sessions, the recordings were transcribed and reviewed by the researchers.Transcriptions and notes were then coded for