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Record W4392376821 · doi:10.31428/10317/12103

Educ@bot: Plataforma educativa eXeLearning para la enseñanza interdisciplinar de la micro-robótica práctica

2024· article· es· W4392376821 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

Venuenot available
Typearticle
Languagees
FieldComputer Science
TopicE-Learning and Knowledge Management
Canadian institutionsInstitute for Clinical Evaluative Sciences
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

[SPA] EDUCABOT es una plataforma de enseñanza basada en la herramienta de software libre eXeLearning que introduce a los estudiantes en el campo de la micro-robótica a través de una completa guía de los aspectos más importantes del sector, las diferentes plataformas, tipos de robots, el hardware, el software, etc., forman parte de esta plataforma. Es una visión panorámica de los principales elementos que nos ofrece el sector, comparando productos y empresas, dando la oportunidad a los alumnos de introducirse en el mundo de la micro-robótica al mismo tiempo que desarrollan, paralelamente, competencias lingüísticas, de trabajo en equipo, de aprender a aprender, etc. eXeLearning nos da soporte en este camino, siendo una herramienta que permite, entre otras bondades, integrar los elementos desarrollados como paquetes SCORM dentro de una plataforma de enseñanza como Moodle. [ENG] Educ@BOT is a web platform based on the open software eXeLearning that introduces to the students in the field of the microrrobotics through and complete guide of the most important aspects of this field, different platforms to be used, different kind of microrobots, hardware, the software, and son on, are included in this platform. It is a panoramic vision of whatever you can find in the main microelectronic devices based on Arduino and focused in the design of different types of microrrobots. You can compare them at the time you improve language skills and the capability of learn to learn. eXeLearning supports this innovation project and integrates all the documentation included, at the time you can convert it in SCORM packets and include the in a learning management platform as Moodle.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, 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: none
Teacher disagreement score0.810
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.004

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 head0.014
GPT teacher head0.323
Teacher spread0.309 · 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

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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