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Record W1927418592

Accessibility and Interactivity in Distance Education Programs for Health Professions

2002· article· en· W1927418592 on OpenAlexaff
Elizabeth Townsend, Carolyn Campbell, Janet Curran, Fred McGinn, D. David Persaud, Pauline Peters, Ian Bower, Suzanne Le May Sheffield

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsDalhousie University
Fundersnot available
KeywordsInteractivityDistance educationHealth professionsMedical educationFocus groupSociologyNursingLibrary sciencePsychologyPedagogyHealth careMedicinePolitical science
DOInot available

Abstract

fetched live from OpenAlex

This article reports a two-year study of students’ experiences of accessibility and interactivity in distance education programs for health professions. Through surveys and focus groups with students, instructors, and administrative staff, we found that accessibility and interactivity are interconnected and are important determinants of students’ success in distance education programs for health professions. Women with full-time employment in urban areas who were studying part time—many as single parents—constituted most students in the five health professions studied: disability management, health services administration, nursing, occupational therapy, and social work. Undergraduate and graduate education courses were offered primarily through WebCT. Highlights of students’ experiences were that instructors are a useful resource; accessibility requires students’ confidence and technical skills, particularly in on-line library searches; and opportunities for required and voluntary interactivity reduce the loneliness and loss of community experienced in distance education. Research findings have both administrative and academic implications for improving distance education programs for health professions. Cet article rend compte d’une recherche de deux ans sur les expériences des étudiants avec l’accessibilité et l’interactivité dans des programmes de formation à distance pour des professions dans le domaine de la santé. Par le biais d’enquêtes et de groupes de discussion (focus group) avec des étudiants, des professeurs et du personnel administratif, nous avons trouvé que l’accessibilité et l’interactivité sont interconnectées et sont des facteurs importants du succès des étudiants dans des programmes de formation à distance pour des professionnels de la santé. Des femmes travaillant à temps plein dans des régions urbaines et qui étudiaient à temps partiel - plusieurs d’entre elles en tant que mères célibataires – constituaient la plupart des étudiants dans les cinq professions de la santé étudiées : la gestion de services aux personnes handicapées, l’administration des services de santé, la profession d’infirmière, la santé au travail et le travail social. Les cours de premier cycle et de cycles supérieurs étaient offerts principalement par le biais de WebCT. Les points les plus marquants des expériences des étudiants étaient : les profes- seurs sont une ressource utile; l’accessibilité nécessite la confiance des étudiants et des habiletés techniques, particulièrement dans les recherches en ligne en biblio- thèque; et finalement les occasions d’interactivité exigée et volontaire réduisent la solitude et le manque d’un sentiment de communauté qui sont éprouvés en forma- tion à distance. Les résultats de la recherche ont des implications à la fois adminis- tratives et pédagogiques pour l’amélioration des programmes de formation à distance pour des professions dans le domaine de la santé.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.064
GPT teacher head0.453
Teacher spread0.389 · 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 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

Citations25
Published2002
Admission routes1
Has abstractyes

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