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Record W3187480092 · doi:10.21432/cjlt27873

Teachers Perceptions of Google Classroom: Revealing Urgency for Teacher Professional Learning

2021· article· en· W3187480092 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Learning and Technology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology-Enhanced Education Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMainstreamEducational technologyPedagogyProfessional developmentProfessional learning communityBlended learningTechnology integrationTeaching methodActive learning (machine learning)Learning sciencesPsychologyMathematics educationSociologyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

As the use of educational technology is at the forefront of today’s educational revolution, it is imperative that educators are employing online learning environments such as Google Classroom to enhance 21st century pedagogy and student learning. Through this mixed method research study, it has been concluded that using Google Classroom will assist educators in creating learning environments which boast organization, accessibility, mobility, and 21st century learning skills. This research reveals there continues to be gaps between the possibilities of eLearning and the training of teachers to use it and develop their teaching practices within a technological mainstream that moves beyond positivism about its value. The researcher recommends that teachers receive immediate and sustained professional learning regarding the use of Google Classroom. This learning should focus on the pedagogical side of technology integration in order to enhance 21st century 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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.820
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.018
GPT teacher head0.335
Teacher spread0.318 · 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