MétaCan
Menu
Back to cohort
Record W4281780007 · doi:10.20429/ijsotl.2022.160214

TPACK Tried and Tested: Experiences of Post-Secondary Educators During COVID-19 Pandemic

2022· article· en· W4281780007 on OpenAlexaffabout
Viola Manokore, Jeff Kuntz

Bibliographic record

VenueInternational Journal for the Scholarship of Teaching and Learning · 2022
Typearticle
Languageen
FieldComputer Science
TopicDigital literacy in education
Canadian institutionsNorQuest College
Fundersnot available
KeywordsLikert scalePandemicCoronavirus disease 2019 (COVID-19)PsychologyDistance educationMedical educationLiteracyScholarshipPedagogyMathematics educationMedicinePolitical science

Abstract

fetched live from OpenAlex

This article explores educators’ experiences during the rapid shift from face-to-face to emergency virtual remote teaching and learning as a result of the COVID-19 pandemic. One hundred and forty educators from a Canadian province completed a survey with Likert scale and open-ended questions designed to capture their application of technological pedagogical content knowledge (TPACK) during the pandemic. Data was collected during fall of 2020. More than 50% of the study participants reported that the quality of their practice declined as they shifted from face-to-face to remote teaching as a result of the pandemic. Educators’ descriptions of their virtual remote experiences were examined using Hutchings’ (2000) taxonomy of scholarship and inquiry questions as an analytic lens. The findings suggest that educators who were more comfortable with their TPACK had an easier transition to virtual remote teaching. Institutional support, students’ digital literacy/access, and overall wellbeing were also identified as factors that influenced educators’ overall experiences.

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 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)0.004
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 score0.314
Threshold uncertainty score0.862

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.031
GPT teacher head0.349
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations8
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal for the Scholarship of Teaching and LearningSame topicDigital literacy in educationFrench-language works237,207