if you tell us! We value your input, and want to find out your opinions regarding the library, its resources, and the services we provide. You should be able to complete this survey in 5-10 minutes. You do not need to reveal your identity. Please answer each question by marking in the box next to the choice which you feel best reflects your opinion. Feel free to add any additional comments or observations in the space provided. General Information 1. Are you? KSU Faculty/Staff KSU Student Reciprocal borrower (SAVTS, KWU, etc.) Community user 2. How often do you visit the KSU-Salina Library? 3 to 4 times a week or more
, platform, software or any or all of them. In more detail:IaaS: Cloud Infrastructure as a Service (sometimes called Hardware as a Service). This is where the computing is done in real or more often virtual machines; if the latter they use a hypervisor (Xen, KVM) under a coordinating system. You could have images in a virtual machine image library, raw (block) and file-based storage, firewalls, load balancers, IP addresses, virtual local area nets and software bundles. Cloud providers typically bill IaaS services on a utility computing basis, that is, cost will reflect the amount of resources allocated and consumed.SaaS: Software as a Service. Seldom including tenancy (such as VMs). SaaS includes the use
adjustment. Broadly speaking, students’ college success depends on two factors, i.e., students’background and their preparation at entry level, and university factors. Different types of university programstend to in take students who are different at the beginning level. The successes of the university programs maynot necessary reflect the differential impact of these programs, but simply the differences in the characteristicsof the entering students in these different programs. Therefore, if a study is to exam the success of a universityprogram, then students’ entry factors need to be partialed out as covariates. Typical examples applied covariateadjustment are given in Astin and Astin (1992); French, et. al., (2005).Longitudinal data analysis
ofsignificant information.” Easton called his vision an “intellectual refinery,” a “fully automated,continuously operating” facility that would print publications, books and other materials asneeded. Out-of-date books and redundant information would be a thing of the past.Although Easton had not suggested that libraries would soon be obsolete, the ESLC’s 1964program reflected an understandable level of anxiety among engineering librarians. The firstsession was called “The Elimination of the Technical Library” and featured papers such as“Vitality of the Technical Library” by Sam Cabeen of the New York-based EngineeringSocieties Library and “Future of the Special Librarian: Bright or Bleak?” by Alan M. Rees of theCenter for Documentation and
to exercise considerable restraint in order to secure measures that actually represent the criterion – often very difficult to collect – instead of more easily accessed but potentially invalid proxy measures. For Page 15.1008.5 example, salary data of alumni would be a more easily secured proxy measure for alumni success than more direct measures of the latter. Clearly salary data, unless carefully conditioned, would reflect the large inequities and differential pay scales of varying careers. Data collection refers to the process and source of the actual numbers and descriptors being used in any assessment. Here it is
remain. The theoretical lenses of social learning theory and communities of practice are fruitfulways to consider the experiences and suggestions of female STEM faculty at ECU. Each of theparticipants in this study has been engaged in one or more professional communities of practice,including STEM departments and interdisciplinary teams, at ECU. The domains of thesecommunities are shaped by the objectives of the participants’ respective disciplines, and theiracademic roles to attend to research, teaching, and service. The very fact of their hiring placed Page 23.1088.5the participants into these communities, reflecting their competence
capstone design; this requirement is reflected in Outcomes 11-13. In the multidisciplinarycapstone program at Georgia Tech, professors (as well as sponsors) can propose capstoneprojects. The student teams bid on the proposed projects and the course instructor matches teamsto projects based on their bids. Therefore, since Prof. Weitnauer clearly indicated in herproposals that the capstone projects would require built prototypes that would be used in theNovember exhibit, and she was the primary advisor, the Fall 2022 capstone students were eagerto not only produce a prototype, but do so early, so it could be included in the exhibit. It is notedthat for the next version of the exhibit, which will show in Spring or Fall 2024, Prof. Weitnaueris a
efforts. However, despite someparticipants either leading or being engaged in formal programs that coached men on how to beeffective allies, there remained an uncertainty around which strategies to focus on, how tosuccessfully implement them, and generally, how to best serve the women that they seek tosupport. The fear of not responding appropriately or discomfort that can arise from reflecting onone’s own role, as a member of the majority, in perpetuating oppression or challengingproblematic views espoused by colleagues should not deter men from engaging in gender equitywork. This self-doubt described by participants indicates that mentorship, further education, andengagement in formal ally training programs may be beneficial, as normalizing the
environment and infrastructure that they could use as a model in their future prototype development practices. This, however, required much creativity, advance planning, preparation, and proof of concept development on the part of the instructor.5. Planning An online digital logic laboratory course could not be successful by merely putting together a good collection of parts/ICs in a kit and relying on students to use ad-hoc methods to build and more importantly test and debug the circuits. Identifying a complete set of physical parts and suitable software is only a small part of what is needed. Upon careful reflection, the following objectives deemed critical if the course were to be successful: o A methodic approach for
initiative to transform engineering education to reflect the growingimportance of sustainability in all engineering functions.16 EOP was developed and is evolving 2023 ASEE National Conferencethrough collaborations among hundreds of sustainability advocates across sectors, geographies,and lived experiences. EOP seeks to ensure all future engineers, across all disciplines, learn thefundamental skills and principles of social and environmental sustainability.The EOP Framework was first launched in 2020 and is a cornerstone of the EOP initiative. Theframework is the first of its kind in that it incorporates to guide to coursework, teaching tools,and student experiences that define what it means to be an engineer who is
discussion inclusive of all types of studentdevelopment in the context of engineering education.Methodology: A Targeted Literature Review The data that informed the discussion in this paper were 121 carefully selected articlespublished by the Journal of Engineering Education (JEE) from 2011 to 2021. We chose to focuson JEE as it is a flagship journal on EER with a high impact in the field. We included thevolumes published in the past 11 years to capture the most recent research. We acknowledge thatour targeted review of papers in one journal will not allow us to make our claims conclusive.However, the high quality JEE articles do offer us an opportunity to make analytical claims thatcould, to some extent, reflect the state-of-art of research on
accurately reflect the answers on each barrier number.Under the permission of instructors and program directors as institution representatives, students(respondents) who had experienced virtual training were invited to fill out questionnaires abouttheir virtual learning experience. The questionnaires were sent to students online viaGoogleForm web-based survey. On the first page of the online questionnaire, respondents wereshown information related to this research. They were allowed to read the consent statement toparticipate in this study and then ticked the ‘agree to’ box if they agreed. Moreover, thequestionnaire was initially targeted at 240 students (20 students from each instructor), 83students from four schools completed the survey. Three
/activities, 2) rehearsal of all seminars prior to the workshop, and 3) sufficient lead timefor ASCE staff to upload to the LMS system. Coordination by the ASCE CFD of both contentand templates for the seminar slides eased preparation for all.However, preparation of the five asynchronous seminars shown in Figure 3, required substantialcontent streamlining and creation of activities to keep participants engaged and thinkingcritically about the seminar’s lessons. Some seminars required modification from an hour-longpresentation to a 15-minute video presentation to meet shorter time suggestions andaccommodate shorter attention spans in a remote environment. All asynchronous seminarsincluded at least one activity to promote reflection about the topics or
(e.g., deep technology versus broad entrepreneurial community involvement) andwhether teams received grant funding for participating in the program. Thesedifferences were reflected in the desired outcomes for participants, and difficulty inobtaining standardized evaluation data. RESULTSTypes of data collectedWe asked interviewees: What data about participants in your Node programs does yourinstitution track? Interviewees were asked to specify if they use pre-course surveys,post-course surveys, and if they obtained follow-up or outcome data from any source(Table 2). Out of the nine Nodes, two did not use any program surveys. We also askedwhether they would be willing to share these surveys with us. Out of the
thinkers, students learn that the process of coming up with something new involves many trials, errors and mistakes and even failure. However, students learn that occasional failure and mistakes are part of the creative and innovative processes rather than a discouragement to an adventurous spirit. They learn to reflect on and to evaluate their experiences and to work with others to improve on those experiences, so as to come up with better or new ways of doing things.” [8]Typically, learning outcomes are used to describe knowledge and skill competencies thatstudents should attain from their learning. In innovation pedagogy learning outcomes are termed“innovation competencies” and are organized into three categories: “1) individual
wereallowed to take the randomized quizzes an unlimited number of times prior to the start of the lab,and we used their highest grade as their quiz final grade. Based on Blackboard statistics, studentcompleted each of the three quizzes over five times (average = 5.4 attempts per quiz). Theaverage grade for the three prelab quizzes was 99%.During each of the three lab sessions, teams of four worked together to complete the labprotocol, although each student was expected to obtain their own data and submit their ownworksheet. The labs concluded with a few reflection questions to help students focus on whatthey had done and explain their data (i.e., why are there two control plates for the bacterialtransformation lab?). Our goal was to reinforce the
fundamental for a motor-drive system 5. Analysis of DC-DC Converter a. Find the output voltage for a converter topology as a function of duty cycle b. Plot DC-DC converter output waveform over the range of duty cycle c. Analyze converter using MOSFET realization d. Plot diode current for realization in Part C. 6. Transformer Analysis a. Plot flux versus magnetomotive force b. Plot B-H curve for transformer c. Plot core permeability as a function of excitation d. Plot harmonic spectrum and calculate total harmonic distortion 7. Reflection on Eaton’s Power Systems Experience Center Tour a. What makes Eaton’s Power Systems Experience Center unique
) % Believe male faculty biased against 26 22 24 female STEM students Believe male students biased against 60 53 57 female STEM students Women must work harder than men 17 6 12 for same grade Personally experienced bias in the 35 39 36 STEM classroom However, the respondents are more critical about their fellow male students with 57% responding that male students are generally biased against females in their class (but only 10% indicated strongly agree). Comments accompanying this question reflect the Page 26.1737.16 experience
alearning tool, according to the students. They reported that their knowledge of the Rankine cycle(and its associated thermodynamic concepts) increased. They indicated that discussing andoperating the RC are more valuable than performing calculations with the data. The level of thematerial was appropriately challenging for upper-level engineering students. A few keys to Page 12.1002.5successful use of the RC were also given in the paper.Second, a parametric study of the effects of component losses on RC thermal efficiency wasperformed. The results showed that the range of component losses used in the parametric studyaccurately reflects experimental
computer science is attainable, understandable and useful. 8PCM provides a way to frame the curriculum of each course in a major or minor. Instructors usethe parallels to determine the primary and secondary priorities which are then reflected in theevaluation and instructional activity design. Identifying priorities allows the instructor to beflexible and make changes “on the fly” if students lack assumed abilities or if they learn therequired concepts quickly and can handle more challenges.2.2 Objectives: Employment, Desire, FoundationPCM language clarifies the educational value of projects in a computer science curriculum withrespect to the objectives. The ability to work on projects develops employability becausestudents use, practice
there will always be positions for them. Thus, engineering education will also bechanging, with more emphasis on graduate education, as outlined in a recently released series ofreports by the National Academy of Engineering [30]. Educators recognize that undergraduateresearch motivates students to apply for graduate school, and underrepresented groups mustbecome an integral part of such a technical workforce. However, underrepresented collegestudents do not reflect their numbers in the U.S. population (51% women, 12.1% AfricanAmericans, and 12.5% Hispanics [27, 28, 31]). A recent National Academies report [32]recommends: “Increasing participation of underrepresented minorities is critical to ensuring ahigh quality supply of scientists and
. With thisin mind, it becomes clear that disciplinary content mastery can not and should not be divorcedfrom mastery of the discipline’s rhetoric. Thus, “interactive socialization” is crucial in helpinggraduate assistants construct the agency that is important for them to become innovativeresearchers and more “reflective, confident and self-directed” as adult learners.68, 69So, while students and faculty of science and engineering with differing native languages havethe ability to converse in highly constrained mathematical and technical languages, they alsoneed to have the ability to describe their inspirations and intuitions, as well as explainconnections they might have to other experiences in their unique pasts. When the participants insuch
, Institutionalization and Outreach, and Social Activities) meet asfrequently as needed. The name of a committee reflects the responsibilities assigned to each oneof the committees.The EXCEL program has two Directors (Dr. Georgiopoulos from the School of ElectricalEngineering and Computer Science, and Dr. Young from the Department of Mathematics).Furthermore, the EXCEL program has four program Coordinators: Dr. Hagen fromCivil/Environmental Engineering, Dr. Geiger from Chemistry Department, Dr. Islas from theMath Department, and Dr Parkinson from the Department of Biology. The Directors of the Page 14.985.9EXCEL program supervise and coordinate all of the