Teacher efficacy for online teaching during the COVID-19 pandemic
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- Metaresearch, Science and technology studies
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Not applicableConsensus signal: Not applicable
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.244
- Threshold uncertainty score
- 0.998
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.361 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
The purpose of this study was to examine secondary teachers’ efficacy for teaching in a fully online teaching environment during the sudden transition to online teaching that happened due to the COVID-19 pandemic. This study was aimed at understanding how specific variables, teaching experience, professional development (PD) experience, and teaching supports might correlate with self-efficacy perceptions of teachers transitioning to online teaching during a pandemic in the domains of student engagement, instructional strategies, classroom management and computer skills. The instrument used to measure teacher efficacy for online teaching was a web based 32-item survey that was given to Ontario secondary teachers in a greater Toronto district school board. We argued that prior experience with online learning such as Additional Qualification (AQ) courses or online professional development would build greater self-efficacy amongst teachers as they transition to online learning. The results indicated that higher online teaching efficacy scores correlated with having taken online Additional Qualification (AQ) courses[1] and online professional development sessions. The highest online teaching efficacy scores correlated with having previously used the board provided learning management system (LMS) and using virtual technology supports. These indicators are correlated with higher scores of online teaching efficacy but require further investigation as to how they can better provide support for teachers in online learning environments.
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.
The record
- Venue
- Brock Education Journal
- Topic
- Technology-Enhanced Education Studies
- Field
- Social Sciences
- Canadian institutions
- Brock University
- Funders
- not available
- Keywords
- Self-efficacyOnline teachingPandemicPsychologyCoronavirus disease 2019 (COVID-19)Online learningPerceptionMedical educationComputer-assisted web interviewingProfessional developmentTeaching methodLearning ManagementMathematics educationPedagogyComputer scienceMedicineMultimedia
- Has abstract in OpenAlex
- yes