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Record W1587343044

Aprendizaje basado en problemas (ABP) : una innovación didáctica para la enseñanza universitaria

2005· article· es· W1587343044 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueEducación y Educadores · 2005
Typearticle
Languagees
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsnot available
Fundersnot available
KeywordsOperationalizationTUTORProblem-based learningSyntaxMathematics educationPedagogySociologyPsychologyComputer scienceEpistemologyArtificial intelligencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The conceptual and methodological elements as well as the judgements contained in this paper are the result mainly of a ten year work experience with a didactic-curricular approach of PBL in the faculties of the area of health at the University of Antioquia. Reference to the concrete case of this university has been kept to a minimum, in order to search for the general aspects of the method, regarding their historical as well as methodological and operational range, and also their applicability in areas different than the area of health. At the beginning of the paper, some historical background of the method is presented, from its origins at the University of McMaster in Canada in the 70’s to their trials at several Latin American and Colombian universities. After that, PBL is given a place within the strategy of learning-by-discovery and construction, an active pedagogy widely applicable in present-day education. Next, the central, active role of “the problem” in the PBL methodology is discussed. Subsequently, the method’s syntax or organizational sequence is presented, and four proposals on PBL, which operationalize the very basic structure of the method, are brought to matter. Fifth, the operational scheme is described, Then, the characteristics of a good tutor or conductor of the method and the academic-administrative obstacles faced by this innovative methodology at our universities and mentioned. To conclude, some findings of the research on PBL are mentioned.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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: Empirical
Teacher disagreement score0.828
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.016
GPT teacher head0.322
Teacher spread0.307 · 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