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Record W7155663026

2022-September-01-ETSU new student enrollment graduation rate and employee satisfaction at record highs

2022· article· W7155663026 on OpenAlexaboutno aff
East Tennessee State University University Marketing and Communication

Bibliographic record

VenueDigital Commons - East Tennessee State University (East Tennessee State University) · 2022
Typearticle
Language
FieldMedicine
TopicLegal Cases and Commentary
Canadian institutionsnot available
Fundersnot available
KeywordsGraduation (instrument)AccreditationReceiptHigher educationPharmacyQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Officials at East Tennessee State University received a glowing report card for the university today, with leaders announcing that new student enrollment, graduation rates and employee satisfaction are all at historic highs. During a quarterly meeting of the university's Board of Trustees, ETSU administrators shared final enrollment numbers for the fall 2022 semester. The university is celebrating its largest incoming class in a decade at 2,056 students — a 25% increase in the past two years. Overall enrollment increased by 195 students over last year, with total headcount enrollment, including undergraduate, graduate, pharmacy and medical students, reaching 13,738. The university's graduation rate is the highest in the school's history, with 55% of students graduating within six years. "For too long, ETSU was one of the state's best-kept secrets," President Dr. Brian Noland said. "Fortunately, that is starting to change. Increasingly, people across the country recognize ETSU as a destination institution, with world-class faculty, affordable tuition rates, stellar employment outcomes and a rich student experience — all within the breathtaking mountains of the Appalachian Highlands." U.S. News and World Report recently ranked ETSU in the top 100 colleges in the nation for students graduating with the least amount of student debt. In just the past week, the university has earned national recognition in the field of geosciences, won a federal grant to support first-generation students, confirmed its receipt of the prestigious ABET accreditation in engineering, and secured $1.25 million in funding to enhance education in rural school systems. For too long, ETSU was one of the state's best-kept secrets, fortunately, that is starting to change.. President Dr. Brian Noland Also, in the past seven days, ETSU launched the Institute for Appalachian Music and Culture, unveiled a new tool to fight substance abuse nationally and kicked off efforts to establish the first substance abuse recovery center in Northeast Tennessee. Employees, too, are showing strong support for the college. Last month, Forbes magazine and Statista recognized ETSU as one of the best employers in Tennessee. During today's board meeting, Noland shared results from the Chronicle of Higher Education's "Best Colleges to Work For" survey, which revealed that ETSU employees ranked their experience significantly higher than the national average. ETSU scored 76% in overall job satisfaction and support, 3% higher than last year and well above the 70% average for other R2 Carnegie Research Classification institutions across the country. ETSU employee satisfaction increased in every category compared to the previous year, and ETSU outperformed the national benchmark in every dimension. For example, in terms of faculty and staff well-being, ETSU scored 81% compared to a national average of 75%. Confidence in senior leadership was rated at 69% at ETSU compared to 57% nationally. In the Diversity, Inclusion, and Belonging category, ETSU received 77% compared to 70% on average. Materials, minutes and meeting schedules for the ETSU Board of Trustees are available at https://www.etsu.edu/trustees/schedule/schedule.php.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0040.001
Scholarly communication0.0010.004
Open science0.0010.006
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.206
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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