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Record W2621652463

Ingressantes em um curso de ciências biológicas a distância e a aprendizagem autorregulada

2017· article· pt· W2621652463 on OpenAlexvenueno aff
Germana Costa Paixão, Ana Ciléia Pinto Teixeira Henriques, Lydia Dayanne Maia Pantoja, Eloísa Maia Vidal

Bibliographic record

VenueINFOR Information Systems and Operational Research · 2017
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyPsychology
DOInot available

Abstract

fetched live from OpenAlex

O estudo objetiva identificar o perfil do alunado de um curso de Ciencias Biologicas de uma universidade estadual do Ceara que atua nos polos presenciais de Russas, Quixeramobim e Beberibe sob a perspectiva da aprendizagem autorregulada. Participaram do estudo 99 alunos recem-ingressos, os quais preencheram questionario com perguntas referentes ao perfil sociodemografico, formacao anterior, experiencia em EaD, motivacao e disponibilidade para o curso, alem de habilidades necessarias para o aluno desta modalidade de ensino. Encontrou-se um perfil de alunos jovens, solteiros e sem filhos, na maioria sem experiencia previa com EaD e que buscou o curso tendo por justificativa falta de tempo para frequentar o ensino presencial. A grande maioria refere possuir habilidades como autonomia, organizacao do tempo, familiaridade com recursos tecnologicos e facilidade de interacao. Visualiza-se um perfil diferenciado no publico que buscou o curso, porem, ainda imbuido de mitos referentes a EaD como a necessidade de utilizar menos tempo de dedicacao ao curso quando comparado ao ensino presencial. Destacou-se a consideravel dependencia do tutor e dos encontros presenciais percebidas pelos alunos, o que deve ser foco de atencao da equipe gestora do curso, visto poder comprometer a qualidade de formacao deste aluno, interferindo na sua autonomia de estudos.

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)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.001
Scholarly communication0.0110.007
Open science0.0010.000
Research integrity0.0000.000
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 head0.149
GPT teacher head0.441
Teacher spread0.292 · 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 designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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