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Record W1965450501 · doi:10.3138/jvme.0713-094r

Assessment of a Novel Method for Teaching Veterinary Parasitology

2014· article· en· W1965450501 on OpenAlexvenueno aff
Mary Mauldin Pereira, Kathleen E. Yvorchuk-St. Jean, Charles Wallace, R.C. Krecek

Bibliographic record

VenueJournal of Veterinary Medical Education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsParasitologyVeterinary parasitologyCLARITYVeterinary medicineMedical educationMedicineBiologyPathology

Abstract

fetched live from OpenAlex

A student-centered innovative method of teaching veterinary parasitology was launched and evaluated at the Ross University School of Veterinary Medicine (RUSVM) in St. Kitts, where Parasitology is a required course for second-semester veterinary students. A novel method, named Iron Parasitology, compared lecturer-centered teaching with student-centered teaching and assessed the retention of parasitology knowledge of students in their second semester and again when they reached their seventh semester. Members of five consecutive classes chose to participate in Iron Parasitology with the opportunity to earn an additional 10 points toward their final grade by demonstrating their knowledge, communication skills, clarity of message, and creativity in the Iron Parasitology exercise. The participants and nonparticipants were assessed using seven parameters. The initial short-term study parameters used to evaluate lecturer- versus student-centered teaching were age, gender, final Parasitology course grade without Iron Parasitology, RUSVM overall grade point average (GPA), RUSVM second-semester GPA, overall GPA before RUSVM, and prerequisite GPA before RUSVM. The long-term reassessment study assessed retention of parasitology knowledge in members of the seventh-semester class who had Iron Parasitology as a tool in their second semester. These students were invited to complete a parasitology final examination during their seventh semester. There were no statistically significant differences for the parameters measured in the initial study. In addition, Iron Parasitology did not have an effect on the retention scores in the reassessment study.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.932
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.131
GPT teacher head0.534
Teacher spread0.403 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2014
Admission routes1
Has abstractyes

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