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Record W2121991440 · doi:10.2190/et.42.1.b

Bridging Spaces: Cross-Cultural Perspectives on Promoting Positive Online Learning Experiences

2013· article· en· W2121991440 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Educational Technology Systems · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsQueen's University
Fundersnot available
KeywordsBridging (networking)PedagogyPsychologyContext (archaeology)GlobalizationHigher educationOnline discussionMathematics educationSociologyComputer science

Abstract

fetched live from OpenAlex

The globalization of online courses has transformed online learning into cross-cultural learning spaces. Students from non-English backgrounds are enrolling in credit-bearing courses and must adjust their thinking and writing to adapt to online practices. Online courses have as their aim the construction of knowledge, but students' perceptions of the learning environment and teacher interactions may influence the quality of educational experiences. Limited social presence, delayed feedback, lack of social cues, gender, and cultural dynamics contribute to the complex online social context. This article explores how the globalization of online learning creates unique challenges in online courses in terms of how dominant pedagogical structures based on Western educational practices reinforce ways of knowing, thinking, and writing. Online courses can transform learning through self-reflection, critical thinking, and consciousness-raising when culturally inclusive assignments are designed to link both instructors' and students' lived experiences to classroom learning.

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)0.003
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 score0.510
Threshold uncertainty score0.564

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.016
GPT teacher head0.365
Teacher spread0.349 · 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