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Record W2908298754

The Effective Affect: A Scoping Review of Social Presence

2018· review· en· W2908298754 on OpenAlexaff
David Mykota

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typereview
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsAffect (linguistics)PsychologyCommunication
DOInot available

Abstract

fetched live from OpenAlex

This paper reports the findings of a scoping review of the construct social presence. The methodology follows the design for scoping reviews as advocated by Arksey and O’Malley (2005). A scoping study is desirable because by synthesizing the research literature the opportunity to identify practical guidelines for the development of social presence is facilitated. A two-stage screening process resulted in 105 studies identified for inclusion with data extracted using a standardized form. A descriptive numerical analysis and qualitative content analysis for those studies included was undertaken. Results from the manuscripts screened for inclusion and synthesized from the data extracted in the scoping review, provide strategies for the structuring of social presence; the potential benefits of effective affective communication in an online environ; and an overview of the evolution of the construct social presence. Future research that aggregates research findings on social presence is desirable so as to ascertain how the development, design, and instruction of online learning moderates the effects of social presence on student outcomes. As well, future comparative research that considers course enrollment, length of course, course level and discipline is also recommended so as to determine what social presence practices are situation specific and what social presence practices can be generalized to all online learning environments. Résumé Cet article fait état des résultats d’une étude de la portée de la présence sociale construite. La méthodologie suit la démarche des études de la portée (scoping reviews) préconisée par Arksey et O’Malley (2005). Une étude de la portée est souhaitable dans la mesure où la synthèse de la littérature favorise l’identification de directives pratiques permettant le développement de la présence sociale. Un processus de sélection en deux étapes a permis d’identifier 105 études à prendre en compte, dont les données ont été relevées dans une grille standardisée. Une analyse descriptive numérique ainsi qu’une analyse qualitative de contenu de ces études ont été entreprises. Les résultats émergeant des analyses des manuscrits sélectionnés et des données relevées dans l’étude de la portée fournissent des stratégies de structuration de la présence sociale, mettent en relief les bénéfices potentiels d’une communication affective efficace dans un environnement en ligne et une vue d’ensemble de l’évolution de la présence sociale construite. A l’avenir, une recherche agrégeant les résultats de recherche sur la présence sociale serait souhaitable pour s’assurer de la manière dont le développement, la conception et l’administration de l’apprentissage en ligne influencent les effets de la présence sociale sur les résultats des étudiants. De même, une recherche comparative prenant en compte l’engagement dans le cours, la durée du cours, le niveau et la discipline du cours serait également à recommander pour déterminer quelles pratiques de présence sociale sont propres à des situations particulières et quelles pratiques de présence sociale sont davantage généralisables à tous les environnements en ligne. Mots clés : synthèse de preuves, enseignement supérieur, revue de littérature, apprentissage en ligne, étude de la portée, présence sociale.

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)0.020
metaresearch head score (Gemma)0.063
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.023
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.063
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0230.018
Science and technology studies0.0020.002
Scholarly communication0.0050.005
Open science0.0020.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.327
GPT teacher head0.657
Teacher spread0.330 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations22
Published2018
Admission routes1
Has abstractyes

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