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Record W3179013424 · doi:10.29173/aar123

Every pandemic has a silver lining

2021· article· en· W3179013424 on OpenAlexaffvenue
Darlene Bakker

Bibliographic record

VenueAlberta Academic Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsContext (archaeology)PandemicFace (sociological concept)Coronavirus disease 2019 (COVID-19)Simple (philosophy)PsychologyMathematics educationPoliticsPublic relationsSociologyPedagogyMedical educationPolitical scienceMedicineHistoryEpistemologySocial scienceLaw

Abstract

fetched live from OpenAlex

“They (pandemics) are the original social and political disruptors, and sometimes that can be really positive” Brown (2020) in University of Hawai'i News.
 Most active teachers, in the past year, have taught both in-person and on-line. Using the Cynefin Framework, a decision-making framework which is based in complexity science (Snowden & Boone, 2007, p.70), I examine the pedagogical changes made by teachers in the emergency teaching situation brought about by the COVID-19 pandemic.
 When using the Cynefin Framework, issues facing an organization can be categorized in one of five possible contexts, simple, complicated, complex, chaotic and disorder, depending upon the severity of the disruption. In a regular classroom most disruptions would be in the simple or complicated context and teachers will solve those problems by making decisions based on prior practice. In the complicated contexts, the same teachers may seek advice from senior teachers, or experts, to solve situations. A problem in the complex context would require the teacher or administrator to find an emerging path through the situation. The disruption I am examining is, according to Brown, the original disruptor—a pandemic, namely COVID-19 which caused school instruction to move from face-to-face to emergency on-line teaching. While much of the beginning on-line teaching began in a chaotic context, that is not the only category that is identified by use of the Cynefin Framework.
 With data drawn from three interviews given by teachers or administrators recorded on YouTube for the Global Teacher Prize dating from March 2020 forward, I examine how both teachers and schools are changing their use of technology. I look at changes and modifications to pedagogy that the teacher has instituted and have determined work. I will then determine if the change is primarily beneficial for the teacher, student, or another party—uncovering the silver linings and innovations in the ways that teachers have changed their use of technology and their pedagogy during the emergency on-line teaching of COVID-19.
 Reference
 Snowden, D. J., & Boone, M. E. (2007). A Leader’s Framework for Decision Making. Harvard Business Review, 1–25.
 University of Hawai'i News. https://www.hawaii.edu/news/2020/04/07/covid19-vs-spanish-flu/

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.843
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.079
GPT teacher head0.388
Teacher spread0.308 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2021
Admission routes2
Has abstractyes

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