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Record W1502535914

A Place of Transition: Directors’ Experiences of Providing Counseling and Advising to Distance Students

2005· article· en· W1502535914 on OpenAlexaffvenueabout
Shelagh T.M. Dunn

Bibliographic record

VenueInternational journal of e-learning & distance education · 2005
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsMacEwan University
Fundersnot available
KeywordsDistance educationSociologyHumanitiesLibrary scienceThematic analysisPolitical sciencePsychologyQualitative researchPedagogyArtSocial scienceComputer science
DOInot available

Abstract

fetched live from OpenAlex

The growth of distance education options at the postsecondary level has led to a need to reassess how student services are provided to distance learners. This study used qualitative thematic analysis to examine the experiences of student service directors in Canadian postsecondary institutions when providing counseling and advising services to distance students. Some of the key considerations and challenges for service planning that emerge from this study are the need for increased accessibility to services, new modes of communication, and the need to consider the unique expectations and qualities of distance students. L’augmentation des options en education a distance au niveau postsecondaire a necessite la reevaluation de la livraison des services aux etudiants a distance. Cette etude a utilise une analyse qualitative thematique pour examiner les experiences des directeurs de services aux etudiants dans des etablissements postsecondaires canadiens, quand des services de counseling sont offerts aux etudiants a distance. Quelques-unes des considerations cles et des defis pour la planification de services qui ont emerge de cette etude sont le besoin d’augmenter l’accessibilite aux services, de trouver de nouveaux modes de communication, et de considerer les attentes uniques et les qualites des etudiants a distance.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score0.337

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.044
GPT teacher head0.462
Teacher spread0.419 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations4
Published2005
Admission routes3
Has abstractyes

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