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MEDICOL

2002· review· en· W1968180896 on OpenAlexaff
Marc Broudo, CHARLENE WALSH

Bibliographic record

VenueAcademic Medicine · 2002
Typereview
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCurriculumMedical educationThe InternetVariety (cybernetics)Problem-based learningMedicineMultimediaComputer sciencePsychologyWorld Wide WebPedagogy

Abstract

fetched live from OpenAlex

OBJECTIVE: MEDICOL (Medicine and Dentistry Integrated Curriculum Online) provides a variety of Web-based resources that act as important adjuncts to all the teaching components of the medical and dental undergraduate curriculum. It uses WebCT, a course-management system, to provide the following educational functions: (1) track students' progress and present course information such as time-tables, learning objectives, handout materials, images, references, course assignments, and evaluations; (2) promote student-to-student and student-to-instructor interactions (through e-mail and bulletin boards); and (3) deliver self-directed learning components, including weekly self-assessment quizzes that provide immediate feedback and multimedia learning modules (clinical skills, radiology, evidence-based medicine, etc.). DESCRIPTION: The University of British Columbia Faculties of Medicine and Dentistry feature a problem-based learning (PBL) curriculum in which students access many of the same tools they will utilize in their professional practice. In the PBL curriculum, students must access the relevant clinical data and educational resources. A MEDICOL site has also been developed for medical students to use during their rural family practice, a four- to six-week experience in the summer after their second year. This site has been designed to be a supplemental learning environment for not only these students, but also for their physician preceptors. It is intended to foster communication among participants, bring new resources to the rural setting, and allow preceptors to develop their Internet skills with the help of students who are already familiar with the electronic environment. The MEDICOL sites enable the exchange of information about the learning issues between, as well as within, tutorial groups. MEDICOL also provides students with faculty-reviewed resources that are listed online; multimedia presentations; and access to histology, radiology, and pathology images through an online image database. Each week, students have access to a new interactive and automatically graded self-assessment quiz for individual study. These quizzes test learning objectives from tutorial, lecture, and lab material for each week of the curriculum and are modeled after summative examinations held twice each year. Question authors provide immediately accessible quality feedback to students. A comprehensive quiz databank of approximately 1,500 questions has been attained. WebCT enables MEDICOL to deliver anonymous, online program-evaluation questionnaires during clinical clerkships (resulting in a 99% response rate after a few e-mail reminders), with easy and timely data collection and reporting methods. Summative assessments have also been delivered through MEDICOL. DISCUSSION: Use statistics indicate that over 90% of students regularly use the MEDICOL sites and have found them helpful. University of British Columbia medical school enrollment will increase because of collaborations with campuses and medical centers across the province. MEDICOL will likely play an increased role in distance learning by continuing to deliver the resources already described, as well as facilitating synchronous communications (e.g., PBL chat rooms) and teaching (e.g., video-streamed lectures) to students located across the province.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.615
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.002

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 head0.159
GPT teacher head0.485
Teacher spread0.326 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations62
Published2002
Admission routes1
Has abstractyes

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