deploy and operate existing wind energy technology, but to evolve thetechnology to be more efficient, cost effective, and adaptable to the electricity grid. Asprogressively larger and technologically more sophisticated turbines are designed and built, bothonshore and off, and as wind plants continue to provide an ever-larger fraction of the energysupply, there are significant scientific and engineering challenges to be addressed such asmaterials and structures, grid integration, and energy storage [6], [7]. In planning for the future,universities, and members of the North American Wind Energy Academy (NAWEA), identifieda number of strategies to address the lack of university programs, most of which rely oncollaboration. These include
-to-face mentoring activities during the COVID-19outbreak were mainly replaced by video conferencing and emailing. Our structural equationmodeling (SEM) results indicated that e-mentoring inputs (i.e., e-mentoring attitude andindividual development plan) and processes (i.e., e-mentoring frequency, perceived instrumentalsupport, and perceived psychosocial support) are positively associated with mentoringsatisfaction, which in turn positively predicts student academic, career, and mental healthoutcomes. The findings also revealed that mentoring experience, academic progress, career self-belief, and mental health of underrepresented groups—females, lower socioeconomic status(SES) students, and students with disabilities—were disproportionately
presentation component, butis most evident during research, writing, and presentation aspects of a graduate student’seducation.In the following section, we introduce our online MSME program, and show how these threetheories ground our vision and decisions, yielding success in growing a thriving online MSMEprogram.II. Program planning and design: Grounding the program theoreticallyThe early vision for this program was grounded in foundational theories that permeated everydepartmental level of decision-making and program management while balancing pragmatic andfinancial considerations. Here, we introduce the pragmatic requirements of the program; in therest of the paper we describe features of the program that demonstrate how our three primarytheories
than what is required to sustain economic need (President's Council of Advisors onScience and Technology Policy Report, PCAST, 2012). Poor quality introductory courses are citedas reasons why STEM students do not persist in their planned majors (O'Neal et al., 2007; PCAST,2012). Graduate TAs teach many of these courses, and although they are not cited as a majorreason for STEM majors leaving, can certainly contribute to overall success or failure of a course(O'Neal et al., 2007). TAs may not have prior teaching experience and/or any training to teach, as graduateprograms typically focus largely on research training. Furthermore, they may not haveopportunities for teaching professional development. This can lead to challenges, not only
similar ideas.We share two methodological notes. First, during our analysis, we discovered no mention ofevaluation as a barrier. Our original idea was that gaps in our evaluation plan for REEFE mayhave limited the possibility of improving the program over time, thus continuing a trend of fewerapplications when severe program design issues were present and known. Such evaluation issueswere not identified in our data sources. Similarly, we began our analysis including the categoryPolicies because we thought that graduate students might identify enrollment policies (e.g.,continuous enrollment during degree) as a barrier to participating in an immersive internshipprogram. However, no mention of policy-related limitations occurred in any information
energy. Assessment and evaluation activities are important aspects of this work, butrequire significant attention to capture the range of activities undertaken by very small cohorts ofinterdisciplinary students and faculty. Our goal was to develop a “sustainable” evaluation plan given ourobservation that programs often begin with very ambitious assessment and data collection goals thatdiminish over time. This paper is a case study that describes the rationale for our assessment andevaluation choices, and select results from these activities.INTRODUCTIONThe National Science Foundation’s Research Traineeship Program (NRT) supports university efforts toexplore ways to equip master’s and doctoral degree students with the skills, knowledge and
. under mental illness/adhd Medication has been an important part of my treatment plan, but I also represented/women mental illness/anxiety see a therapist weekly. I use cognitive behavioral therapy to address coping mechanism distorted thinking resulting from anxiety and ADHD. I also use behavioral under represented strategies like automated reminders, online calendars, writing groups for accountability, and a daily task journal. I try to talk openly about my mental health and treatment strategies, both in my ‘real’ life and on social media
severalrecommendations vis-à-vis graduate student orientation and onboarding efforts. These includefollowing a number of steps designed to maximize their benefits, including 1) analyze studentrequirements, tasks, personnel, as well as knowledge, skills and attitudes needed; 2) identifylearning objectives and a plan of instruction that optimizes the learning, retention, and transfer ofthe information presented during orientation; 3) design and implement the orientation program;and 4) assess its effectiveness through a post-survey “designed to capture the reaction of theparticipants shortly after orientation” and a focus group “designed to provide more reflectivefeedback after the students completed most of their first semester in the program” [4]. Otherreports
second or third year in my PhD degree program. 13 12.22% This is my second or third year in my PhD degree program and I have 5 5.81% passed my qualifying exam. I have passed the qualifying exam in my PhD degree program and I am 7 7.01% working on writing my dissertation. Other 3 3.07%In terms of career plans, the majority of the respondents were thinking about a career in industryfollowed by academia.Quantitative items. Respondents identified a number of factors related to
mentorship programs.IntroductionWithin graduate education, there is a lack of proper mentorship and mentoring programs atinstitutional and college levels [1]. Mentorship is so highly correlated to student success andprogram satisfaction [2], as such, there is a critical need to establish and improve mentorshipprograms at these institutions. The National Academy of Sciences suggests that with improvedmentoring, “students' educational experience, morale, career planning and placement, andprofessional competence” [3, p. 65] will be enhanced. However, for this mentoring relationshipto flourish and be satisfactory, it requires effort by both parties which would ultimately create a‘mutually beneficial’ partnership between the faculty mentor and the
; Conklin’s article. Representational images include a flower, raindrops, and people inconversation. Relational seed shapes and page forms include dotted lines, squares, and circles.]Workshop demonstration 3: Ideating arguments using VPFsWhen beginning my dissertation in 2018, I (Erica) began to use VPFs to ideate my ownarguments and dissertation plans (see Figure 7). As mentioned in our Visualizing Arguments andSketchnotes section, the affordances of VPFs are both rhetorical and epistemological; they helpnew scholars, like myself, think across purposes and make new knowledge and developconcepts.When drawing visual metaphors or using VPFs to ideate their own arguments for the first time,students face two particular struggles: 1) thinking with the
outside of academia.’Questions of validity for the percentage comparisons between ethnic groups exist for severalreasons: several female subjects identified as both White and Asian/ Hispanic, one subject didnot indicate their ethnicity (N=14), and the way that, when completing the survey, somerespondents selected all reasons, while others chose just two or three.Even though study statistics are not significant and are somewhat limited in their validity,reflecting on both the gender and ethnic comparisons brings out several statistics that we plan tocontinue to monitor as subsequent cohorts participate in the NRT. The strongest finding is thatwomen, both White and Asian/ Hispanic, appear to be more strongly attracted to theinterdisciplinary nature
learningoutcomes (milestones accomplished such as publications, proposals, defenses); career plans(academic, entrepreneurial); additional educational constructs as determined by the pedagogicalexpert. Overall program learning is assessed via a rubric developed to assess the 5 DimensionsScale, Figure 5 [10] from the project leadership team, Scalability Committee, External AdvisoryBoard, and the Student Advisory Board. The evaluation logic model, presented below in Table 1,outlines the project goals, actions, key measures, and leading and lagging outcomes.While the ultimate goal of the project is to increase the number of innovations andentrepreneurialism of doctoral graduates, along with the proportion of degrees earned fromtargeted student groups, it is
. Students may be co-located in a classroomor in separate locations interconnected via videoconferencing. Faculty evaluators are located at aremote location and communicate via videoconferencing. During the first thirty minutes of an eval-uation, students jointly present their work uninterrupted. During the subsequent twenty minutes,faculty evaluators ask the students questions and they are given opportunities to respond. The finalten minutes are reserved for private faculty evaluator discussion and graded team assessment.During the first semester of the project course, preliminary design and prototype design evaluationsare performed. The preliminary design evaluation provides students feedback on the planned workand the project goals early in the
library and information science education in response to the rising demand for data professionals[7]. Chu et al (2017) proposed that iSchools should make contributions based on the traditional andmodern advantages of data science-related fields, such as information organization and access,information management, information preservation, and information science research. Experts candiscuss and establish a more precise definition, scope and data flow of data science. Compile a listof fundamental principles, skills, and toolsets necessary for data scientists to help current and futureinformation experts assess their level and find courses and programs that suit their level, interests,and career plans. In order to improve the quality and
for educational man- agement and Social Assistant. Currently, she is a teacher at the Andres Bello University in undergraduate programs such as Ethics, Society and Work, Social Responsibility and Effective Communication, and in graduate programs such as Communication for Management and Managerial Skills. Her research area is Higher Thinking Skills, in particular, the early detection of levels of Perspective and Abstraction, in students and teachers, through the use of machine learning algorithms.Mrs. Lilian Pamela San Mart´ın Medina, Universidad Andres Bello Mag´ıster en Docencia para la Educaci´on Superior.Dr. Margarita Ercilia Aravena, Universidad Andres Bello PhD in Educational Planning and Innovation
had a completed rubric in their application file, and we expect thisnumber to continue to increase.Our research team plans to conduct a survey of the faculty who review PhD applications and aseries of focus groups with graduate program admission directors in order to better understand therole the rubric takes in the admissions process. We want to understand how faculty are using therubric and whether they find it helpful and easy to use. Additionally, we want to know if the rubrichas changed how faculty approach the PhD application evaluation process and the value they placeon various application metrics. We will also assess faculty perspective on the quality of studentbeing admitted into their programs both before and after implementation of
. Immigration is a multi-facet life event with numerous unknown variables. The regularimmigration process does not take place at one night, rather it requires short-term and long-termplanning: planning for learning the native language of the destination country, dealing with thefact that you are going to leave behind your country, your relatives, and your close friends,planning for selling your belongings and looking for a place to live your new life at, quitting yourcurrent job and finding a job (temporary or permanent) at the destination country, and so on. Inthis volatile process, some marriages would even end in divorce if one partner does not supportthe idea of immigration. Imagine if children are involved in this maze. Research scholars in
engineers were either disinclined or unable to teach it.Technical communication indeed broke ground in the area of engineering written communicationdecades ago with Seltzer’s (1983) study on the composing processes of one engineer at work(Ford & Riley, 2003). Prior to Seltzer’s study, however, the technical communication fieldactually knew very little about the written communication practices of engineers. Technicalcommunication experts knew “what scientists and engineers [wrote] at work” (p. 325) but theydid not research how engineers went about planning, drafting, and revising texts. Since the work2 It is recognized how problematic labels can be for describing language use and experience. In this paper, the termmultilingual is being used to
discussions surroundingthe photographs. Facilitators must be invested in allowing social change to occur while beingattuned to any political and power dynamics at play; it is recommended that there be more thanone facilitator with at least one being a part of the community of interest [31]. Not only will thisbe beneficial for the planning stages of the project, but this will help provide buy-in and buildrapport with participants. After forming the study team, the next task is to reach out to membersof the community to participate in the project. Recruitment of participants can vary with moststudies ranging from 8-12 participants given the involved nature of the project and intense datacollection [31]. Before data collection begins, it is typical to