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Record W2771283635

Cultural Communication Characteristics and Student Connectedness in an Online Environment: Perceptions and Preferences of Online Graduate Students

2017· article· en· W2771283635 on OpenAlexvenueno aff
T.C. Green, Malia Hoffmann, Loretta Donovan, Nawang Phuntsog

Bibliographic record

VenueInternational journal of e-learning & distance education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsnot available
Fundersnot available
KeywordsSocial connectednessContext (archaeology)FeelingPsychologyPerceptionPedagogyExploratory researchDistance educationHumanitiesSocial psychologySociologySocial scienceGeographyArt
DOInot available

Abstract

fetched live from OpenAlex

This multi-year exploratory research examined the perceptions of connectedness of students enrolled in an online cohort-based Master’s program in educational technology. The research specifically examined the level of connectedness the graduate students from low-context and high-context cultures felt towards their peers, the professors, and the program. Participants (n = 50) were surveyed on their perceptions of connectedness and what elements of the program and course design led to their level of connectedness. Fourteen participants agreed to follow-up interviews. The data were used to compare how students who identified as low-context culture differed in their perceptions of connectedness to students who identified as high-context culture. The findings suggest that no matter what cultural identification students indicated, the feelings of connectedness toward peers, the professors, and the program were strong. Participants indicated feeling most connected to program professors, primarily due to the intensity and methods of communication. Findings indicate other program and course design elements that led to student connectedness. Implications for online course and program design are discussed. RésuméCette recherche exploratoire pluriannuelle a examiné les perceptions de la reliance des étudiants inscrits à un programme de maîtrise en technologie de l'éducation fondé sur des cohortes en ligne. La recherche a tout particulièrement examiné le niveau de reliance que les étudiants diplômés, provenant de contextes culturels de bas ou de haut niveau, ressentent envers leurs pairs aussi bien qu’envers les professeurs ou le programme. Les participants (n=50) ont été interrogés sur leur perception de la reliance et sur les éléments du programme et de la conception des cours qui influencent leur niveau de reliance. Quatorze participants ont accepté de participer à des entretiens. Les données ont été utilisées pour comparer la manière dont les étudiants identifiés comme provenant de contextes de bas niveau culturel avaient des perceptions différentes de la reliance de ceux identifiés comme provenant de contexte de haut niveau culturel. Les résultats suggèrent que, peu importe la catégorie culturelle des étudiants, le sentiment de reliance envers les pairs, les professeurs, et les programmes était fort. Les participants font part de sentiments particulièrement en lien avec les professeurs programme notamment en raison de l’intensité et des méthodes de communication. Les résultats pointent d’autres éléments de conception de programme et de cours favorisant la reliance étudiante. Finalement, la discussion porte sur les implications de ces résultats concernant la conception des cours et programmes en ligne.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.059
GPT teacher head0.420
Teacher spread0.361 · 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 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

Citations28
Published2017
Admission routes1
Has abstractyes

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