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Record W1891345608

Does a user-friendly up-to-date pediatric education website improve faculty engagement in the educational program?

2013· article· en· W1891345608 on OpenAlexaffabout
Megan Burke, Laura Vivian, John Martin, Steve Pennell, Anne Drover

Bibliographic record

VenueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland) · 2013
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsCurriculumMedical educationPromotion (chess)Listing (finance)Computer sciencePsychologyMedicinePedagogyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Medical Education websites are an important tool in communication, promotion and organization of a medical education program.These websites can also be used to deliver curriculum and manage assessment tools for learners.The key to an effective website is design and implementation based on the established principles of curriculum development which include; perform a needs assessment including all potential users of the website, use principles of adult learning theory when developing content and website function, design the website and curriculum to demonstrate educational effectiveness and include a mechanism for sustainability.The proposed project will include the development, implementation and evaluation of a Pediatric Education website.A needs assessment of faculty, staff, residents and students to determine the necessary components to be added to the site is being performed.Questions related to communication and engagement of faculty and residents regarding the educational program are included.The site is being developed with the expert assistance of the instructional designers in HSIMS.The proposed components of the website are: 1. an inviting and engaging Home Page with many local images, 2. Divisions-each division within the Janeway will have their own page.Each Division page will include: clinical services, Team members, Education and Research.3. Faculty-Picture and a brief description from each of the faculty: listing the position, clinical interests, educational interests, research interests and any publications and lastly, contact information.4. Education-this area will be divided into a) Undergraduate-a brief Overview of Pediatrics in the undergraduate program (i.e., second year course, second year clinical skills sessions), a link to second year course: Description of the second year course, objectives and topics covered and information on the Pediatrics Clerkship rotation.This area will also connect to potential pediatric electives.Secondly, Part b) Pediatric Residency will be a full separate secure area of the website with applications, orientation information, vacation/sick days/forms, curriculum information, schedules, contact information, Clinical Rotations and learning materials as well as current residents: pictures.Links to all learning management systems and important

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.044
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.016
GPT teacher head0.334
Teacher spread0.317 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2013
Admission routes2
Has abstractyes

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