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Record W4404318115 · doi:10.5753/wie.2024.242039

Educação Inclusiva em Realidade Aumentada: Recurso Instrucional Digital para Apoiar a Formação de Alunos no Ensino de Computação

2024· article· pt· W4404318115 on OpenAlex
Bruno P. C. dos Santos, Maici Duarte Leite, Paulo J. Varela

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

Venuenot available
Typearticle
Languagept
FieldComputer Science
TopicAugmented Reality Applications
Canadian institutionsnot available
FundersComisión Nacional de Actividades EspacialesCanadian Bureau for International Education
KeywordsComputer science

Abstract

fetched live from OpenAlex

A Realidade Aumentada (RA) tenciona enriquecer o ambiente físico com elementos virtuais. O respectivo artigo utiliza essa tecnologia, a fim de desenvolver um recurso instrucional digital, para apoiar a formação de alunos em relação aos saberes computacionais. Esse objetivo relaciona-se, com as demandas emergentes na Educação Básica sobre ensino de Computação semeado por determinada educação inclusiva, e qualitativa. Nesse sentido, os resultados mostraram-se satisfatórios em proveito, a conceder experimento, e personalização do estudo pelos alunos quanto, ao ensino de dispositivos computacionais em RA. Assim, a união entre elementos impressos, e manipulação de objetos virtuais concerne, um ARbook capaz de incentivar a capacitação de estudantes.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.936
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.003

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 head0.026
GPT teacher head0.306
Teacher spread0.280 · 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

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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