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Here to Help: How Pandemic Pedagogy Made for Face-to-Face Change

2024· article· en· W4400405180 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

VenuePapers on postsecondary learning and teaching. · 2024
Typearticle
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsRed Deer Polytechnic
Fundersnot available
KeywordsScholarshipFace (sociological concept)PsychologyValue (mathematics)PedagogyMaslow's hierarchy of needsSociologyComputer scienceSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

To bridge the gap between the learning goals of the classroom and the overtaxed, returning-from-the-pandemic learner, adapting teaching practices to respond to present-day experiences became a way to facilitate success. Weaving anecdotal experiences with pedagogical scholarship, this discussion explores the impact of practices that approach the learning experience with grace (Su, 2021) and care (Mehrotra, 2021). These practices include the value of putting Maslow’s Hierarchy of Needs before Bloom’s Taxonomy of Learning (Mutch & Peung, 2021), and adopting a trauma-informed approach to create opportunity for all students’ success. This includes: Incorporating opportunities for students to make decisions and exercise choice over aspects of their assignments and facilitating a sense of ownership over their learning (Wolpert-Gawron, 2018), incorporating structured engagement among peers to create a supportive learning community (Lang, 2020), and incorporating practices of instructional care and holistic recognition to build trusting relationships.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.911
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.060
GPT teacher head0.412
Teacher spread0.352 · 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