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InteractiveResource . 2026
License: CC BY
Data sources: Datacite
ZENODO
InteractiveResource . 2026
License: CC BY
Data sources: Datacite
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Programando la Historia: Tecnología para II° Medio

Authors: Rojas Monsalves, Claudio;

Programando la Historia: Tecnología para II° Medio

Abstract

🌐 Accede al libro completo en línea: https://claudiorojasmon.github.io/apuntes_2025/intro.html (Los archivos descargables son el código fuente. Para leer el libro, usa el link de arriba.) Programando la Historia es un libro de texto abierto y gratuito, desarrollado para el curso de Tecnología de II° Medio (10° grado) en Chile. El libro está organizado en tres bloques temáticos: Bloque I — Inteligencia Artificial (12 capítulos): fundamentos de IA, historia, IA generativa, mitos y realidades, sesgos algorítmicos, deepfakes, privacidad de datos, prompting efectivo y herramientas disponibles. Bloque II — Programación Básica (3 capítulos): Markdown, fórmulas en Google Sheets y construcción de mini dashboards. Bloque III — Python (10 capítulos): introducción a Python, variables, listas, condicionales, ciclos, funciones, pandas, tokenización y análisis de documentos PDF. El enfoque pedagógico utiliza ejemplos basados en Historia de Chile e Historia Universal para contextualizar los conceptos tecnológicos, haciendo el aprendizaje más significativo para estudiantes de 15-16 años. Por ejemplo: analizar datos de población del Imperio Romano con pandas, procesar discursos de Andrés Bello con tokenización, o crear dashboards sobre la Guerra del Pacífico. El libro fue construido con Jupyter Book y publicado como sitio web estático en GitHub Pages. Los fuentes están disponibles en: https://github.com/ClaudioRojasMon/apuntes_2025 El libro fue aceptado en la Galería Oficial de Jupyter Book — Executable Books Galleryhttps://executablebooks.org/en/latest/gallery/ tras revisión del equipo del proyecto. La propuesta fue revisada por Chris Holdgraf (co-creador de Jupyter Book, Executive Director de 2i2c y miembro del Executive Council de Project Jupyter) y aprobada por Brigitta Sipőcz, mantenedora del proyecto Executable Books. 🌐 Read the full book online: https://claudiorojasmon.github.io/apuntes_2025/intro.html (Downloadable files are the source code. To read the book, use the link above.) Programando la Historia (Programming History) is a free and open textbook designed for the 10th grade Technology course in Chile. The book is organized into three thematic blocks: Block I — Artificial Intelligence (12 chapters): AI fundamentals, history, generative AI, myths and realities, algorithmic bias, deepfakes, data privacy, effective prompting, and available tools. Block II — Basic Programming (3 chapters): Markdown, Google Sheets formulas, and mini dashboard creation. Block III — Python (10 chapters): introduction to Python, variables, lists, conditionals, loops, functions, pandas, tokenization, and PDF document analysis. The pedagogical approach uses examples based on Chilean and World History to contextualize technological concepts, making learning more meaningful for 15–16 year old students. Examples include: analyzing Roman Empire population data with pandas, processing Andrés Bello's speeches with tokenization, or building dashboards about the War of the Pacific. The book was built with Jupyter Book and published as a static website on GitHub Pages. Source files are available at: https://github.com/ClaudioRojasMon/apuntes_2025 The book was accepted into the Official Jupyter Book Gallery https://executablebooks.org/en/latest/gallery/ (executablebooks/meta, PR #1295), after being reviewed by Chris Holdgraf (co-creator of Jupyter Book, Executive Director of 2i2c, and member of the Project Jupyter Executive Council) and approved and merged by Brigitta Sipőcz, maintainer of the Executable Books project. It is one of the few Spanish-language books in the gallery, which brings together educational and scientific resources from around the world.

Keywords

History, Technology, Artificial Intelligence, K-12, Markdown, Education, Python

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average