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The utility of podcasts in Web 2.0 human anatomy

2009· article· en· W1999699713 on OpenAlexaffabout
Beata Patasi, Andrew Boozary, Maxwell T. Hincke, Alireza Jalali

Bibliographic record

VenueMedical Education · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media in Health Education
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCurriculumMedical educationMedicineSociologyPedagogy

Abstract

fetched live from OpenAlex

The pedagogical approach in medical education seems to have witnessed a paradigm shift within North American institutions. Medicine, an inherently innovative discipline, appears to have resisted any Luddite reluctance and embraced the global Web 2.0 possibilities. The Faculty of Medicine at the University of Ottawa has committed itself to being at the vanguard of technological innovation over the past decade. Established as the nation’s only bilingual medical school, the innovative advances have been designed to facilitate the parallel Anglophone and Francophone educational streams. In view of its historically rote subject matter, the Division of Clinical and Functional Anatomy has implemented podcasting (using digital media files) to complement an ever-expanding integrative curriculum and to synergise the student learning experience. The Faculty of Medicine has reformed its medical curriculum from a conventional discipline-based approach to an integrative, objective-based curriculum. This has involved a reduction in core lecture hours and an increased emphasis on student self-learning and case-based clinical application. The challenge to comprehensively address learning objectives in human anatomy spurred the development and deployment of podcasting to supplement the fundamental delivery of key content. The aim was to advance the technologically progressive focus of the new curriculum and improve the learning scope of human anatomy while maintaining the autonomous student-centred ideal. Anatomy lecturers developed podcasts in French and English as online learning resources to augment student learning capacity. Distinctive podcast lectures reviewing previously presented subject matter and emphasising fundamental concepts were made available online to medical students in Years 1 and 2 in advance of each anatomy laboratory session. The podcasts were easily accessible through the Division of Anatomy’s internal website and were also available on iTunes uOttawa for maximal convenience and usability. Online surveys were constructed to help determine the utilisation patterns and potential benefit of the learning resource. The surveys were administered after specific teaching units to assess the podcast quality and to help improve student efficacy in the acquisition of educational fundamentals. Samples of Francophone Year 1 (n = 42) and Anglophone Year 2 (n = 49) students were used to assess the impact and plausibility of the curricular podcast integration. The notable results of the survey illustrate a positive reception on the part of the participants for the supplementary resource, with 92% of responses indicating the podcasts were ‘very helpful for self-paced learning’. With respect to student utilisation, 89% of the respondents deemed the podcasts an excellent resource for studying anatomy, and 79% embraced the use of the podcasts in examination preparation. The resounding response and student amalgamation of the resource into various independent learning paradigms has increased the demand for more Web 2.0 resources in the teaching of human anatomy and other medical disciplines at the University of Ottawa. The learning return on the relatively inexpensive capital investment is encouraging for the future development of podcasts as a staple resource in human anatomy education.

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)0.002
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.814
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.052
GPT teacher head0.479
Teacher spread0.427 · 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.

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

Citations11
Published2009
Admission routes2
Has abstractyes

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