, Hansen L. Psychological sense of community & Belonging in Engineering Education. 2008 38th Annu Front Educ Conf. 2008:21-24.27. Oyserman D, Destin M. Identity-Based motivation: Implications for intervention. Couns Psychol. 2010;38(7):1001-1043.28. Boone H, Kirn A. First Generation Students Identification with and Feelings of Belongingness in Engineering. In: 2016 ASEE Annual Conference & Exposition. New Orleans, LA; 2016:1-27.29. Smith JA, Flowers P, Larkin M. Interpretative Phenomenological Analysis: Theory, Method and Research. Los Angeles: SAGE; 2009.30. Walther J, Sochacka N, Kellam N. Quality in Interpretive Engineering Education Research: Reflections on an Example Study. J Eng Educ. 2013;102(4
berevised thereafter to reflect any changes incorporated in the new solicitation. Please read andreview the rules, regulations, and stipulations in the applicable solicitation for the date of yourproposal submission. Read it early and revisit it often for improved chances of success with yourgrant proposal development and submission. 1. What is the maximum amount of funding that can be requested in the “Small Grants for Institutions New to ATE” category? a. $2,000 b. $2,000,000 c. $200,000 d. $20,000 2. First-time applicants to NSF-ATE are encouraged to consider which type of ATE funding? a. Planning grant b. Small Grants for Institutions New to the ATE Program c. Regional
Asking participants to reflect on how the following factors may have impacted their work: § Team size and composition; § Leader structure (single leader vs. co-leader); § External circumstances.Category Description ExampleCourses Efforts to either design a new Re-organizing an introductory course or to substantially engineering course around a set of revise an existing offering real-life scenarios and the use of design thinkingCredentials Efforts to introduce a new A major, minor or certificate in program of study available to innovation
was discussed and adjusted. To compensate for a lack of an item describing“associational thinking” in the original Dyer scale, two additional statements were developed todescribe this construct.Finally, to convert the modified behavioral statements from an agree-disagree scale into a self-efficacy measure, the scale instructions were adjusted to reflect a self-efficacy intent (“Pleasethink about how confident you are in your ability to do these activities”). A comparison of theoriginal Dyer et al. IBS behavioral items and the restated ISE.5 self-efficacy items is shown inAppendix A.4.0 MethodsThe validity and reliability of the ISE.5 measure was confirmed through three studies. Study 1outlines the process of evolving the Dyer et al. scale
,unvalidated version of the MFQ, such that the results do not support their claims.[69] Althoughthe authors of this paper find those responses convincing, as Owen Flanagan has recently andrightly noted, not all characteristics of MFT proposed by its creators/advocates logically entaileach other, such that trouble for one or some does not necessarily entail trouble for all.[70]The chief interest in MFT for the present study is as a pluralist, social intuitionist theory of morality– in other words, that, first, morality is about many things rather than only one; second, the contentsof moral judgments are socially oriented and culturally variable; third, moral judgments are closerto/result from feelings than rational reflection. As mentioned above, this
such as CATIA. Most classes in all three majors, especiallyupper division classes, included laboratories, so students gained familiarity with much of theequipment through exposure in multiple classes.The model for the three engineering technology programs was effective. Over most of the yearsof the programs’ existence until the late 2000s they each graduated 10-20 students per year. In thelate 2000s interest in the degrees began to increase, starting with the PET program and then fol-lowing with the MET program and to a lesser degree the EET program. In the period from 2009to 2015, the average graduating class sizes were approximately 17 for EET, 25 for MET, and 31for PET. That EET was the smallest program was a reflection of the additional
-Related Opportunities.The increase of aerospace-related courses and opportunities at UAF and resulting interest bycurrent and prospective students has (not surprisingly) also been reflected in increasedparticipation in the AIAA student chapter, the aerospace minor, and other aerospace-relatedcourses. These, in turn, generate a higher target population and more awareness of and interest inall of the above. For a small school such as UAF, this impact has been significant.Career options. Beyond the university realm, students participating in aerospace courses andactivities have had good success in transitioning directly into an aerospace job, whether in spacesystems or in aeronautics. UAF has a strong record of supplying its graduates to NASA, the
this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation. The authors also wish to thank Dr. Rebecca Bates, Dr. TamaraFloyd-Smith, Dr. Melani Plett, and Dr. Nanette Veilleux for their help in recruiting interviewparticipants for this project.References[1] S. Fayer, A. Lacey, and A. Watson, “Science, technology, engineering, and mathematics (STEM) occupations: past, present, and future : Spotlight on Statistics: U.S. Bureau of Labor Statistics,” U.S. Bureau of Labor and Statistics, Jan. 2017.[2] D. J. Nelson and C. J. Brammer, “A national analysis of minorities in science and engineering faculties at research universities,” Oklahoma University, Norman, Oklahoma, Jan
of the ecosystem: howchanges in the natural world specifically affect our species [61]. More recent theorists, however,are exploring the concept of “deep ecology,” that is, “nature as a whole has moral value” [62, p.97], irrespective of interplay with the human population. Viewing the natural world as having anintrinsic worth is, indeed, one of the major challenges facing environmental philosophers [63].Ocean gyres, particularly the GPGP, are a topic ripe for ethical reflection in engineering classesfor a number of reasons. First, it involves public safety, which engineers in all fields pledge touphold as professionals in their respective areas. Second, it involves establishing and maintaininga sustainable environment, which engineering
analysis because all the reports required a discussion of the results(In some labs, students were not required to include all the report sections). Moreover, scores onthe discussion section were deemed likely to reflect students’ understanding of content Tables 6 and 7 provide comparison of students’ lab report scores on three lab reportsections (i.e., abstract, results, and discussion) in the junior and senior level courses, respectively.In the junior course, four lab reports were required (as shown in Table 6); other laboratoryactivities required only informal writing, such as lab notebooks, and so they were not included inthe analysis of technical writing skills. In the senior course, lab reports were required for all fivelabs
terms of performance, we did not find a significant effect of the quiz mode on studentscores, when the quiz was administered in class. The only exception was when the quiz wastaken at home (b), in which case the mean score (Mquiz=7.41/8) was significantly higher thanall other modes (F=23.78, p<0.001). Although the quiz was open-notes, open-book in everycase, we believe there is an apparent effect of stress when the quiz is taken in a classroomenvironment that immediately affects student performance. However, we do not claim thatthe higher score reflects greater learning gains and more investigation is needed for a safeconclusion. Nonetheless, the evaluation results indicated that the specific design of movingtesting time right after lecture
. Purposivesampling of students who remained on campus was used for the interviews to ensure theirperspective was captured by the researchers.Results show a significant number of students, regardless of where they spent the break, studiedinefficiently during the break from school, which is reflected in their academic performance; andstudents who remained on campus while most of their peers left, found the time lonely andlargely unproductive.IntroductionAlthough a fall break has become the norm for many universities in Canada, little research hasbeen conducted to determine the impact of fall breaks on students, whether it is an evaluation asto whether the stated goals of the break – which typically focus on stress and mental health [1] –are being met, or
92% with a standard deviation of 5% (shown in Figure 4). Thestudents’ grades demonstrated that the students effectively applied the systems engineering toolsand methods to model the food justice system. An example of the instructor’s grading rubricsfor the first two phases are provided in tables 6 and 7. The instructor assessed how well that the students learned the material by grading thephase reports. The average grade across all teams and phases was 92% with an average standarddeviation of 5%, as shown in Figure 4. The instructor was pleased with the learning.Additionally the students completed a reflection on the food challenge experience
began toorganize around what seemed to be a natural division of physics into its constituent parts –electronics, mechanics, chemical, etc. While engineering became specialized in theorganizational structure of a technical business, schools reflected this specialization as well bycreating majors and even specifying different types of engineering degrees – e.g., mechanical,electrical, industrial. Companies hired based on these degrees. “We need to hire 4 electricalengineers, 6 mechanical engineers and 5 industrial engineers.” Departments were created tomanage these areas of engineering specialization – grouping engineers of similar training – andthe organization pyramid began to form. Each department has group leaders, section heads anddepartment
. collaborated on thedevelopment of a software package based on the Robot Operating System (ROS) to facilitateseamless communication and transfer of location information between robots. To effectively setupa distributed network (see Figure 7) and enable information transfer between the robots, they hadto understand the concept of custom messages in ROS. Later, using fiducial marker-based tracking,they extracted localization information and constructed a custom message that is transferred topeer robots. The project further involved reflecting the localization information of the robots intoan iPad app for user interaction.4.6. Game-based tele-rehabilitative solutions for stroke patients: The goal of Mr. A.R. in thisproject was to iterate through the
Python on top of the Django framework. The low level of design skills wasnoted by faculty teaching the following design course, SWEN-262 Engineering of SoftwareSubsystems, which emphasizes design abstraction and design patterns. Students were talkingabout design information learned in their first-year CS course and not the Introduction toSoftware Engineering course. The department's Industrial Advisory Board also identified this asa problem after having discussions during our annual meeting with students at all year levels.Learning Goals for the CourseIn considering yet another redesign of our Introduction to Software Engineering course, we gavesome reflection on why we had so much trouble getting this course "right". We were
connectionbetween parts one and two.The quantum dot data collection went very smoothly, and all three students were able tobuild a spreadsheet with their data and results without issues. It is possible that afreshman or sophomore may experience more difficulties when reading the theory andcollecting data due to less experience in a laboratory setting.6 AcknowledgementsThis project is supported by the National Science Foundation through the ATE program,Award No. ATE 1700695. Any opinions, findings, and recommendations expressed in thispaper are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References [1] Klaus D. Sattler, Ed., Handbook of Nanophysics: Nanoparticles and Quantum Dots - Google Books. Boca
. Throughout most of the projectFollowing the questions above, the students were also asked about their team dynamics: s. To what extent did you work as a team?Answers were provided in five scales: 1. Almost never 2. Rarely 3. Sometimes 4. Often 5. Almost alwaysDirect assessment about students’ technical learning was conducted using a PBL rubric that theinstructors used to grade their design reports. This score indicates the quality of their design andhow much actually they satisfied their customer. Sometimes there is a discrepancy between howmuch the students believe they learned and how much the instructor determines they learned.One of the contributing factors is that the students’ perspective reflected from the survey aboveis
. However, students’ exposure to intuitive reasoning, which plays a role in all decision-making, is limited during their undergraduate engineering formation. In an effort to generate abaseline for how we can operationalize intuition in the context of engineering education, thepurpose of our current research was to synthesize characterizations and portrayals of intuitivereasoning. We focused on literature from the field of management because intuition isconsidered in the context of complex, strategic decisions, which are reflective of the designdecisions central to engineering. The specific research questions addressed in this study are 1)how does extant management literature characterize intuition?, and 2) how does extantmanagement literature
inundergraduate engineering programs. However, reported survey results depend on how questionsare asked and how results are interpreted. Outcomes involving design of experiments, theNavier-Stokes equations, static equilibrium in 3D, and teamwork could be assessed to someextent on the FE, but they are not; is this a reflection of the consensus of faculty surveyed or aconsequence of the survey process? How do we confirm that the content and emphasis of the FEreflects the opinions of the surveyed faculty members? Additionally, how are the specificationstranslated into questions? How is the handbook developed? Is it involved in determining examcontent? What do the numbers on the subject matter reports even mean?The FE might be reliable but it is not
analysis techniques. (level: analysis) 3 Model and test virtual circuits. (level: application and analysis) 4 Construct and test circuits on a bread board. (level: application and analysis) 5 Design, construct and test a multi-output DC power supply circuit. (level: synthesis) 6 Analyze a basic AC circuit using mathematics and circuit analysis techniques. (level: analysis) 7 Analyze AC/DC motors and generators. (level: analysis)`The ABET outcomes associated with the CLOs are listed below. Note that these will have to beupdated to reflect the ABET changes that will go into effect for the 2019-20 accreditation cycle.(a) Ability to apply knowledge of math, science