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Record W4406867705 · doi:10.24834/jotl.6.1.1290

Formativt arbetssätt som ett verktyg för språkutveckling och lärande i högre utbildning

2025· article· sv· W4406867705 on OpenAlexaff
Zeljka Prelevic

Bibliographic record

VenueJournal of Teaching and Learning in Higher Education · 2025
Typearticle
Languagesv
FieldSocial Sciences
TopicSocial and Educational Sciences
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsChemistry

Abstract

fetched live from OpenAlex

Denna reflektion utgår ifrån ett formativt arbetssätt som tillämpas i en av programkurserna på lärarutbildningen. Arbetssättet baseras på iakttagelser som har gjorts i den aktuella kursen där merparten av studenterna är andraspråksinlärare. Med tanke på breddad rekrytering i högre utbildning kan detta arbetssätt med fördel användas även i andra kurser och studentgrupper. Inledningsvis presenteras det formativa arbetssättet i den aktuella kursen. Därefter analyseras det med hjälp av Hoels (2012) responsmodell samt Matsudas och Cox (2011) föreslagna strategier för bedömning av andraspråkinlärares texter. Slutsatsen som dras är att olika typer av respons uppfyller olika funktioner och att universitetslärare i mötet med studenter bör adressera responsen utifrån responsens olika funktioner i syfte att främja ett livslångt lärande och språkutveckling hos alla studenter.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.028
GPT teacher head0.367
Teacher spread0.339 · 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.

Study designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

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