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Record W3020198400 · doi:10.21814/diacritica.355

Tecnologias digitais numa experiência de aprendizagem autónoma de léxico da língua Alemã

2020· article· pt· W3020198400 on OpenAlex
Judite Carecho, Rute Soares, Anabela Fernandes

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

VenueDiacrítica · 2020
Typearticle
Languagept
FieldArts and Humanities
TopicLinguistic Education and Pedagogy
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophyPsychology

Abstract

fetched live from OpenAlex

A aprendizagem de vocabulário na língua estrangeira é um processo que exige consolidação ao longo do tempo e as tecnologias digitais adequam-se especialmente a apoiar esse processo graças à sua vertente multimédia, à interatividade, mobilidade e flexibilidade de uso, que permitem criar recursos adequados a aprendentes com diversas necessidades e preferências. A experiência que aqui se descreve contempla recursos desenvolvidos para aprendizagem autónoma, complementar ao contexto formal da aula, que foram utilizados por estudantes de Alemão da Faculdade de Letras da Universidade de Coimbra. Apresentam-se a caracterização dos participantes no projeto, os dados de monitorização do uso das aplicações e os resultados dos inquéritos de avaliação do projeto. A avaliação que os alunos fazem dos recursos disponibilizados é bastante positiva, sendo valorizadas as características das ferramentas digitais utilizadas na aprendizagem autónoma.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: Empirical · Consensus signal: none
Teacher disagreement score0.708
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.002

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 head0.100
GPT teacher head0.322
Teacher spread0.222 · 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