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Record W2731584694 · doi:10.15366/riee2010.3.1.014

Diseño y Operación de un Sistema de Evaluación del Desempeño Docente con Fines Formativos: la Experiencia de la Pontificia Universidad Católica de Valparaíso, Chile

2016· article· es· W2731584694 on OpenAlexaff
Gloria Contreras

Bibliographic record

VenueRevista Iberoamericana de Evaluación Educativa · 2016
Typearticle
Languagees
FieldSocial Sciences
TopicEducation and Teacher Training
Canadian institutionsInstitute for Clinical Evaluative Sciences
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

El presente artículo describe y analiza el proceso de diseño e implementación del Sistema de Evaluación del Desempeño Docente para las carreras profesionales de la Pontificia Universidad Católica de Valparaíso, Chile. Este sistema tiene como propósito general contribuir al mejoramiento de la calidad de la formación a través de un sistema integral de recolección de información sobre la docencia universitaria que permita su retroalimentación y posterior mejora. El diseño se inicia el año 2007 con un diagnóstico que cuenta con la participación de autoridades, docentes y estudiantes. Desde este diagnóstico surgen cuatro ideas fuerza que constituirán pilares del futuro sistema de evaluación. Debería tratarse de un sistema que: (1) esencialmente sirviera como apoyo para que los docentes universitarios mejoraran los procesos formativos de sus estudiantes; (2) vinculara la evaluación docente, el desarrollo de competencias docentes y los resultados de aprendizaje de los estudiantes; (3) explicitara claramente una noción de calidad de la docencia a través de la definición de sus dimensiones; y (4) ofreciera distintas fuentes e instrumentos a los docentes de manera que pudieran conformarse un panorama amplio respecto de su docencia. La implementación gradual del sistema muestra que la evaluación de la docencia con fines formativos es posible sólo en la medida que los actores involucrados participen activamente de ella y que la perciban como un proceso de reflexión permanente.Palabras clave: Docencia, Evaluación formativa, calidad, reflexión. The present article describes and analyzes the process of design and implementation of the System for the Teaching Performance for the professional courses of the Pontifical Catholic University of Valparaiso, Chile. The main objective of this system is to contribute to the quality improvement of the formation by means of an integral system of information recollection on the university teaching to facilitate the feedback and subsequently favor the improvement. The design began in the year 2007 with a diagnosis that counted with the participation of authorities, teachers and students. From this diagnosis four strong ideas arose to constitute the pillars of future system of evaluation. The systems would be on that: (1) essentially would serve as support for the university teachers to improve the formative processes of their students; (2) it would tie the teaching evaluation, the development of teaching competences and the learning results of the students; (3) it would clearly specify a notion of quality of teaching through the definition of its dimensions; and (4) it would offer different sources and instruments to the teachers so that they could gather an ample panorama with respect to their teaching. The gradual implementation of the system shows that the evaluation of teaching with formative aims is possible only in the measurement that the involved actors participate actively in her and perceive her as a process of permanent reflection.Keywords: Teaching, Formative Evaluation, quality, reflection.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.024
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0100.005
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.022
GPT teacher head0.383
Teacher spread0.360 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations4
Published2016
Admission routes1
Has abstractyes

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