Macro-diseminación de la cultura maker: promoviendo competencias del siglo XXI a través de un Ideatón
Bibliographic record
Abstract
Con el objetivo de propiciar y difundir la cultura maker a través de la ideación dirigida, se llevó a cabo una competición co-tecnocreativa dirigida a 1000 estudiantes de bachillerato durante el Festival de Innovación Epicentro 2018 en Jalisco, México. Los objetivos de la competición están alineados a los objetivos de desarrollo sostenible de la ONU, donde la metodología, se centra en evocar soluciones prácticas e innovadoras a problemáticas locales de ocho sectores estratégicos del estado. La actividad de prototipado, guiada por instrumentos como el esquema Trayekta, se caracterizó por la inclusión de microcontroladores programables, sensores y motores, que permiten el desarrollo de competencias del siglo XXI, tales como la creatividad, la colaboración, pensamiento crítico, pensamiento computacional y la resolución de problemas. El seguimiento a los participantes se estableció a un año utilizando una plataforma digital. Se presentan el esquema logístico realizado en colaboración con la Secretaría de Innovación, Ciencia y Tecnología (SICyT), los resultados de participación y el protocolo de investigación planteado entre tres universidades de México, Canadá y Francia. Este artículo es el primero de la serie “Competencias del siglo XXI a través de un Ideatón”. With the aim of propagating maker cultures through directed ideation, a cotechnocreative competition was held for 1000 baccalaureate students during the 2018 Innovation Festival Epicentro in Jalisco, Mexico. The competition objectives were aligned with the sustainable development objectives of the UN, where the methodology centred on evoking practical and innovative solutions to local problems of eight strategic sectors of the state. The prototyping activity, guided by the Trayekta canvas, was characterized by the inclusion of programmable microcontrollers, sensors and motors, which allow the development of 21st century skills, such as creativity, collaboration, critical thinking, computational thinking and problem resolution. The follow-up to participants was established for a year using a digital platform.The logistic scheme made in collaboration with the Ministry of Innovation, Science and Technology (SICyT), the results of participation and the research proposed between three universities in Mexico, Canada and France, are presented in this paper. This is the first article of the series “21st century competencies through an Ideaton”.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".