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Record W3187362732 · doi:10.3390/educsci11080400

Teacher Education during the COVID-19 Lockdown: Insights from a Formative Intervention Approach Involving Online Feedback

2021· article· en· W3187362732 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEducation Sciences · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicStudent Assessment and Feedback
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaUniversidade do MinhoMinistério da Ciência, Tecnologia e Ensino SuperiorInternational Council for Canadian Studies
KeywordsFormative assessmentCLARITYPsychologyIntervention (counseling)Mathematics educationMeaning (existential)Computer-mediated communicationCoronavirus disease 2019 (COVID-19)Teacher educationHigher educationPedagogyMedical educationComputer scienceThe InternetMedicine

Abstract

fetched live from OpenAlex

This paper examines preservice teachers’ perspectives on assessment feedback developed in a teacher education course during the first lockdown due to the COVID-19 pandemic. As initially negotiated with students, feedback was learner-centred and involved a formative intervention approach applied iteratively by the teacher educator over the course of one semester. Although such feedback was initially face-to-face, it had to be given exclusively online following the unexpected closure of the university. Analysis of student teachers’ perspectives, which were collected through an online questionnaire completed after their final assessment, reveals both positive and critical aspects regarding the feedback provided by the teacher educator. While reaffirming the significance of feedback as a crucial element for learning in online teacher education contexts, the findings also show that the clarity, affective bonding and multimodal meaning-making involved in face-to-face interaction are particularly challenging when the communication of feedback is digitally mediated. The implications and limitations of such findings are discussed.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.063
GPT teacher head0.404
Teacher spread0.342 · 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