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Record W2978446744 · doi:10.21556/edutec.2019.69.1381

Tensiones en el diseño instruccional de cursos en línea en instituciones de educación superior

2019· article· es· W2978446744 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEdutec Revista Electrónica de Tecnología Educativa · 2019
Typearticle
Languagees
FieldComputer Science
TopicE-Learning and Knowledge Management
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

En este artículo presentamos los resultados de un estudio cualitativo sobre el contexto profesional de diseñadores instruccionales ejerciendo en instituciones de educación superior en el noreste mexicano. Basados en la teoría de la actividad y en el análisis de contenido, se analizaron los datos de 12 diseñadores instruccionales pertenecientes a 3 instituciones educativas con el objetivo de caracterizar las prácticas en el proceso de diseño instruccional de cursos en línea. Los hallazgos indican que existen cinco tensiones: (1) entregas de trabajo tardías, (2) falta de reconocimiento, (3) cesión de responsabilidad y carga de trabajo, (4) confusión de roles y (5) rechazo de la orientación pedagógica. Los resultados obtenidos en este estudio concuerdan con los hallazgos de otros autores y revelan que las tareas y responsabilidades de los diseñadores instruccionales son aún desconocidas para los profesores universitarios y expertos de contenido.

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)0.002
metaresearch head score (Gemma)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.759
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0040.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.002

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 head0.007
GPT teacher head0.279
Teacher spread0.272 · 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