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Record W7067221193

La pasión de aprender. El punto de vista de los estudiantes universitarios

2013· article· es· W7067221193 on OpenAlexaboutno aff

Bibliographic record

VenueAmericanae (AECID Library) · 2013
Typearticle
Languagees
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsnot available
Fundersnot available
KeywordsPublic accountingContext (archaeology)Qualitative analysis
DOInot available

Abstract

fetched live from OpenAlex

Esta investigación realiza un estudio comprensivo sobre la pasión de aprender desde el punto de vista de un grupo de estudiantes universitarios. Para la selección de los participantes se apoya en el enfoque descriptivo a través de la aplicación de una encuesta sociodemográfica y del cuestionario de procesos de estudio, a 464 estudiantes de cuatro universidades de la ciudad de Cúcuta: dos de carácter oficial, y dos privadas. El estudio cualitativo se realiza a partir de diez grupos focales y veinticinco entrevistas en profundidad. Se analizan los datos con apoyo de la teoría fundamentada tanto de forma manual (codificación abierta, axial, y selectiva), como con el empleo de la herramienta atlas ti. Se asumen las pasiones como motores que conducen a la acción tomando como referentes especiales a Epicuro, Aristóteles, Spinoza, Serres, Damasio, Maturana, Rousseau, Assmann, Brockbank & McGill, Not y Mèlich. En el tema de los aprendizajes universitarios se toma como referentes a Säljo, Marton, Entwistle y Biggs y su teoría de los enfoques de aprendizaje. Las categorías emergentes que sirvieron para la comprensión del fenómeno son: el sentido de la pasión de aprender, los aspectos intrínsecos y extrínsecos asociados a la pasión de aprender, el ritual de aprendizaje, el horizonte de sentido y los trayectos apasionados.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.002
GPT teacher head0.201
Teacher spread0.199 · 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
Published2013
Admission routes1
Has abstractyes

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