MétaCan
Menu
Back to cohort
Record W1716963185 · doi:10.2196/mededu.4676

Formation of a New Entity to Support Effective Use of Technology in Medical Education: The Student Technology Committee

2015· article· en· W1716963185 on OpenAlex
Jared A. Shenson, Ryan C. Adams, S. Toufeeq Ahmed, Anderson Spickard

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJMIR Medical Education · 2015
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsnot available
Fundersnot available
KeywordsComponent (thermodynamics)Health technologyTechnology educationEducational technologyEngineering ethicsMedical educationEngineering managementKnowledge managementComputer scienceEngineeringMathematics educationPolitical sciencePsychologyMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: As technology in medical education expands from teaching tool to crucial component of curricular programming, new demands arise to innovate and optimize educational technology. While the expectations of today's digital native students are significant, their experience and unique insights breed new opportunities to involve them as stakeholders in tackling educational technology challenges. OBJECTIVE: The objective of this paper is to present our experience with a novel medical student-led and faculty-supported technology committee that was developed at Vanderbilt University School of Medicine to harness students' valuable input in a comprehensive fashion. Key lessons learned through the initial successes and challenges of implementing our model are also discussed. METHODS: A committee was established with cooperation of school administration, a faculty advisor with experience launching educational technologies, and a group of students passionate about this domain. Committee membership is sustained through annual selective recruitment of interested students. RESULTS: The committee serves 4 key functions: acting as liaisons between students and administration; advising development of institutional educational technologies; developing, piloting, and assessing new student-led educational technologies; and promoting biomedical and educational informatics within the school community. Participating students develop personally and professionally, contribute to program implementation, and extend the field's understanding by pursuing research initiatives. The institution benefits from rapid improvements to educational technologies that meet students' needs and enhance learning opportunities. Students and the institution also gain from fostering a campus culture of awareness and innovation in informatics and medical education. The committee's success hinges on member composition, school leadership buy-in, active involvement in institutional activities, and support for committee initiatives. CONCLUSIONS: Students should have an integral role in advancing medical education technology to improve training for 21st-century physicians. The student technology committee model provides a framework for this integration, can be readily implemented at other institutions, and creates immediate value for students, faculty, information technology staff, and the school community.

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.

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)0.000
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 score0.777
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.011
GPT teacher head0.311
Teacher spread0.300 · 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