91 research outputs found
A Descriptive Quantitative Exploration of College Students of Promise During the COVID-19 Pandemic
The term Students of Promise is used for students considered to have a heightened risk status, which not only has a negative effect on students but also on the higher education institutions they attend. This quantitative study explored how the COVID-19 virus has impacted student populations at various US higher education institutions and to uncover what specific issues (financial, emotional, social) impacted students during this unprecedented time in light of student categories and student demographics. This study found statistical significance in Students of Promise characteristics and presents data on the behaviors, activities, and tools necessary for success, concerns surrounding COVID-19, and opinions on higher education factors. Implications are also discussed to include a deeper understanding of Students of Promise needs, social mobility, and advising. This study shows that Students of Promise continue to need academic resources but also ways to lower stress levels and to afford college
Was it Worth it? Using Student Loans to Finance a College Degree
This qualitative study explores the perceptions of value added to the lives of graduates who borrowed money to fund their college educations. Through the lens of cognitive dissonance theory, five themes emerged. Overall, the study participants agreed that the ability to take on student loans to fund their education was worth it, but on the other hand feel overburdened with the cost of paying back their loans. This paper also provides a foundation for future research and identifies public policy shortcomings and suggests solutions
Enrollment Management Strategies at Rural Community Colleges Resulting from the Pandemic
Higher education institutions around the world were impacted by the COVID-19 pandemic that began in early 2020. Because U.S. community colleges focus on two-year degrees and workforce development, they were affected differently than their four-year counterparts. This study examined how academic administrators at different rural community colleges in Virginia, United States, perceived enrollment management practices that were implemented or changed due to the pandemic. This sequential explanatory study\u27s first phase was quantitative and measured mid- to senior-level administrators\u27 views of how the pandemic affected their colleges\u27 enrollment management practices. The second qualitative phase resulted in five themes surrounding COVID-related enrollment management practices: a) COVID-19 led to crisis management and operations in phases; b) managing student onboarding during COVID-19; c) COVID-19 created unique challenges for community college students; d) COVID-19 affected decision-making procedures; and e) COVID-19 resulted in work/life balance issues and COVID fatigue. Implications and future directions are provided to ensure that community college enrollment managers and policymakers understand how to continue to pivot to ensure student services are maintained or enhanced during a crisis
Facilitating Veteran and Adult Students\u27 Learning and Retention in Engineering: Faculty-Student Partnership - A Model of an Evidence-Based Practice
With the growing number of adult and military veterans entering higher education, it is important to understand and incorporate the basics of andragogy in curriculum, course development, and the learning environment to facilitate learning and degree completion. Researchers in this S-STEM project funded by the NSF share observations of a student-faculty partnership that resulted from the development of a formal learning community. A series of targeted seminars were conducted that appear to have increased adult and military veteran engineering and technology students’ levels of connectedness and self-efficacy. Results of this pilot study are shared as an evidence-based practice to enhance adult and military veteran students’ learning and degree completion
Transformational Leadership in Higher Education Programs
The current mixed-method study investigates transformational leadership qualities through higher education doctoral programs in the Commonwealth of Virginia. This study relies on three data points: interviews with graduate program directors of higher education doctoral programs (whether PhD or EdD), a program evaluation of programs, and Multifactor Leadership Questionnaire (MLQ-5x™) survey results from students within said programs. Data were collected from the five public universities that offer higher education doctoral programs within the Commonwealth of Virginia. Students completed a self-rating using the Multifactor Leadership Questionnaire (MLQ-5x™) and then were peer-rated by colleagues to strengthen the validity of the study. Additionally, themes surrounding the structures of these doctoral programs were collected. As researchers of higher education and leadership studies cite transformational leadership as a high competency for college and university presidents, coupled with a looming shortage of college and university presidents on the horizon, measuring the programs that train these potential future leaders is warranted
Community College Presidents and Campus Safety: Perspectives on Critical Issues
Community college presidents must understand the phenomenon of campus safety. For this mixed-methods study, community college presidents in one state were surveyed, and three presidents from the same community college system participated in in-depth interviews. Descriptive statistics measured the levels community college presidents’ knowledge and perceptions on campus safety. The in-depth interviews provided a deeper understanding of the connections between community college presidents and campus safety.
Overall, the results show that campus safety is important to community college presidents, who believe that, overall, their institutions are safe. We found that community college presidents believe they should be proactive and reinforce values that promote and prioritize campus safety, follow regulations, and provide sufficient resources to ensure campus safety measures. However, inadequate funding also plays a role in what can be allocated, and community college presidents voiced that they were concerned about promoting safety in the face of declining budgets and resources
Search for Gravitational Waves Associated with 39 Gamma-Ray Bursts Using Data from the Second, Third, and Fourth LIGO Runs
We present the results of a search for short-duration gravitational-wave
bursts associated with 39 gamma-ray bursts (GRBs) detected by gamma-ray
satellite experiments during LIGO's S2, S3, and S4 science runs. The search
involves calculating the crosscorrelation between two interferometer data
streams surrounding the GRB trigger time. We search for associated
gravitational radiation from single GRBs, and also apply statistical tests to
search for a gravitational-wave signature associated with the whole sample. For
the sample examined, we find no evidence for the association of gravitational
radiation with GRBs, either on a single-GRB basis or on a statistical basis.
Simulating gravitational-wave bursts with sine-gaussian waveforms, we set upper
limits on the root-sum-square of the gravitational-wave strain amplitude of
such waveforms at the times of the GRB triggers. We also demonstrate how a
sample of several GRBs can be used collectively to set constraints on
population models. The small number of GRBs and the significant change in
sensitivity of the detectors over the three runs, however, limits the
usefulness of a population study for the S2, S3, and S4 runs. Finally, we
discuss prospects for the search sensitivity for the ongoing S5 run, and beyond
for the next generation of detectors.Comment: 24 pages, 10 figures, 14 tables; minor changes to text and Fig. 2;
accepted by Phys. Rev.
Search for gravitational waves from binary inspirals in S3 and S4 LIGO data
We report on a search for gravitational waves from the coalescence of compact
binaries during the third and fourth LIGO science runs. The search focused on
gravitational waves generated during the inspiral phase of the binary
evolution. In our analysis, we considered three categories of compact binary
systems, ordered by mass: (i) primordial black hole binaries with masses in the
range 0.35 M(sun) < m1, m2 < 1.0 M(sun), (ii) binary neutron stars with masses
in the range 1.0 M(sun) < m1, m2 < 3.0 M(sun), and (iii) binary black holes
with masses in the range 3.0 M(sun)< m1, m2 < m_(max) with the additional
constraint m1+ m2 < m_(max), where m_(max) was set to 40.0 M(sun) and 80.0
M(sun) in the third and fourth science runs, respectively. Although the
detectors could probe to distances as far as tens of Mpc, no gravitational-wave
signals were identified in the 1364 hours of data we analyzed. Assuming a
binary population with a Gaussian distribution around 0.75-0.75 M(sun), 1.4-1.4
M(sun), and 5.0-5.0 M(sun), we derived 90%-confidence upper limit rates of 4.9
yr^(-1) L10^(-1) for primordial black hole binaries, 1.2 yr^(-1) L10^(-1) for
binary neutron stars, and 0.5 yr^(-1) L10^(-1) for stellar mass binary black
holes, where L10 is 10^(10) times the blue light luminosity of the Sun.Comment: 12 pages, 11 figure
All-sky search for periodic gravitational waves in LIGO S4 data
We report on an all-sky search with the LIGO detectors for periodic
gravitational waves in the frequency range 50-1000 Hz and with the frequency's
time derivative in the range -1.0E-8 Hz/s to zero. Data from the fourth LIGO
science run (S4) have been used in this search. Three different semi-coherent
methods of transforming and summing strain power from Short Fourier Transforms
(SFTs) of the calibrated data have been used. The first, known as "StackSlide",
averages normalized power from each SFT. A "weighted Hough" scheme is also
developed and used, and which also allows for a multi-interferometer search.
The third method, known as "PowerFlux", is a variant of the StackSlide method
in which the power is weighted before summing. In both the weighted Hough and
PowerFlux methods, the weights are chosen according to the noise and detector
antenna-pattern to maximize the signal-to-noise ratio. The respective
advantages and disadvantages of these methods are discussed. Observing no
evidence of periodic gravitational radiation, we report upper limits; we
interpret these as limits on this radiation from isolated rotating neutron
stars. The best population-based upper limit with 95% confidence on the
gravitational-wave strain amplitude, found for simulated sources distributed
isotropically across the sky and with isotropically distributed spin-axes, is
4.28E-24 (near 140 Hz). Strict upper limits are also obtained for small patches
on the sky for best-case and worst-case inclinations of the spin axes.Comment: 39 pages, 41 figures An error was found in the computation of the C
parameter defined in equation 44 which led to its overestimate by 2^(1/4).
The correct values for the multi-interferometer, H1 and L1 analyses are 9.2,
9.7, and 9.3, respectively. Figure 32 has been updated accordingly. None of
the upper limits presented in the paper were affecte
Astrophysically Triggered Searches for Gravitational Waves: Status and Prospects
In gravitational-wave detection, special emphasis is put onto searches that
focus on cosmic events detected by other types of astrophysical observatories.
The astrophysical triggers, e.g. from gamma-ray and X-ray satellites, optical
telescopes and neutrino observatories, provide a trigger time for analyzing
gravitational wave data coincident with the event. In certain cases the
expected frequency range, source energetics, directional and progenitor
information is also available. Beyond allowing the recognition of gravitational
waveforms with amplitudes closer to the noise floor of the detector, these
triggered searches should also lead to rich science results even before the
onset of Advanced LIGO. In this paper we provide a broad review of LIGO's
astrophysically triggered searches and the sources they target
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