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Online Learning Community Building: a Case Study in China

2010· article· en· W2136379367 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)SociologyGRASPOnline learningOnline communityMetaphorPsychologyComputer scienceWorld Wide WebLinguisticsGeography

Abstract

fetched live from OpenAlex

Much attention has been paid to online community building in recent years due to its much acclaimed potential of enhancing knowledge construction in the Information Age. However, there is a lack of empirical studies on the process of how online learning community influence knowledge construction in particular and enhance the quality of learning in general. This paper is devoted to a case study of a popular language learning community in China (www.HJenglish.com) by drawing upon the metaphor online community is a miniature society, and thus an informal learning model is presented. In the light of the SOCIETY metaphor, virtual space and real social context are converged to facilitate the understanding the complex process of online learning. A text-based analysis of observable online activities and discourse was performed and a follow-up online questionnaire was performed to further explore how online learners conduct their voluntary learning activities and in the meantime shape the cultural environment which in turn facilitates meaningful learning. This paper concludes that to fully grasp the learning process in an online community, three aspects, namely social presence, affective supports and cognitive development, should be taken into consideration. Key words: online learning community, social presence, constructionism, CALL Resume: L’attention pretee a la construction de la communaute d’apprentissage sur ligne dans les dernieres annees est due a son potentiel beaucoup proclame de renforcer la construction du savoir a l’âge d’information. Cependant, il y a lacune dans les recherches empiriques sur le fait que comment la communaute d’apprentissage sur ligne influence la construction du savoir et ameliore en general la qualite d’apprentissage. L’article present entreprend une etude de cas d’une communaute d’apprentissage de langue populaire en Chine (www.HJenglish.com), en utilisant la metaphore « La communaute sur ligne est une societe en miniature », et presente ainsi un modele d’apprentissage informel. A la lumiere de la metaphore de « societe », l’espace virtuel et le contexte social reel conjurent a faciliter la comprehension du processus complexe de l’apprentissage sur ligne. Une analyse, basee sur le texte, des activites et discours observables sur ligne et une enquete suivante sur ligne sont effectuees pour explorer profondement comment les apprenants sur ligne conduisent leurs activites d’apprentissage volontaires et, en meme temps, faconner l’environnement culturel qui a son tour facilite l’apprentissage. L’auteur en arrive a conclure que, pour comprendre pleinement le processus d’apprentissage dans une communaute sur ligne, trois aspects, a savoir la presence sociale, le support affectif et le developpement cognitif, doivent etre pris en consideration. Mots-Cles: communaute d’apprentissage sur ligne, presence sociale, constructuralisme, CALL

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.317
Teacher spread0.290 · 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