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541 to 550 of 1,851 Results
readme.txt
Oct 25, 2024 - Diálogos con Julia León y Germinal Rebull. Por Elia Romera-Figueroa
Texto plano - 4,3 KB - MD5: b800f26d80c28ceffcb3d38478bce9a1
Cacao Farmers Tumaco.xlsx
Oct 23, 2024 - Cacao Farmers Tumaco
Hoja de cálculo MS Excel - 23,4 KB - MD5: 52efc69b97430ed1603e351ef611d30a
DATARQUIFAUR
DATARQUIFAUR
Oct 18, 2024 - Universidad de Alcalá
García Triviño, Francisco Antonio (Investigador principal); Gómez Sal, Antonio; Quesada López, Fernando; Belliure Ferrer, Josabel; Aguilera Benavente, Francisco; Montes Espín, Rosalina; Sánchez Coterón, Lara; Díaz Aranda, Luisa María; Ballesteros Mateos, Víctor; Rebollo de la Torre, Salvador; Cisneros Azpiazu, Ainara; González Torremocha, Ana; Álvarez, Paula Valeria; López-Galiacho Álvarez, Emilio, 2024, "DATARQUIFAUR", https://doi.org/10.21950/YLYVQC, e-cienciaDatos, V3
Información básica generada por el proyecto de investigación ARQUIFAUR haciendo uso de los datos registrados en colaboración con la ciudadanía que formó parte del proyecto, durante el laboratorio ciudadano CRAI Ciudadan@. Proyecto de investigación que explora y registra las aves que habitan la ciudad histórica de Alcalá en función de los servicios...
ARQUIFAUR_Resultados_Laboratorio_CRAICiudadana.pdf
ARQUIFAUR_Resultados_Laboratorio_CRAICiudadana.pdf
Oct 18, 2024 - DATARQUIFAUR
Adobe PDF - 1,4 MB - MD5: b9708de6e9f1aec8da5e2d67d2afafdc
Agri-food preferences questionnaire Q sort 2023
Oct 18, 2024 - Universidad de Alcalá
De-Lucio Fernández, José Vicente, 2024, "Agri-food preferences questionnaire Q sort 2023", https://doi.org/10.21950/BXAESY, e-cienciaDatos, V1
Ordenaciones Q de preferencias agroalimentarias: Ranking of 25 statement Q-method survey amongst 39 agroecological stakeholders. Fichero excel con valores de posición de preferencia en la ordenación Q
Data Qsort Agroecology.tab
Oct 18, 2024 - Agri-food preferences questionnaire Q sort 2023
Tabular Data - 2,7 KB
Interviews Agroeco 2023 dataset_Readme.txt
Oct 18, 2024 - Agri-food preferences questionnaire Q sort 2023
Texto plano - 3,1 KB - MD5: 36b0554bd211979fca0693d074db33cf
AI generated context for teaching robotics to improve Computational Thinking in Early Childhood Education
Oct 17, 2024 - Universidad Rey Juan Carlos
Hijón-Neira, Raquel; Pizarro, Celeste; Borrás Gené, Oriol; Cavero, Sergio, 2024, "AI generated context for teaching robotics to improve Computational Thinking in Early Childhood Education", https://doi.org/10.21950/KJNKMM, e-cienciaDatos, V1
There is a growing need to develop methods to teach Computational Thinking (CT) to Early Childhood Education children, given the challenges at these ages. A key goal is to equip future teachers with effective approaches for better learning outcomes. This project introduces a methodology for teaching robotics, using AI-generated contexts to enhance...
dataAIearlyChildhoodEducation.csv
Oct 17, 2024 - AI generated context for teaching robotics to improve Computational Thinking in Early Childhood Education
Valores separados por comas - 13,3 KB - MD5: 7189d1cb67f49ff87c95b2a12555977a
readme-en.txt
Oct 17, 2024 - AI generated context for teaching robotics to improve Computational Thinking in Early Childhood Education
Texto plano - 6,1 KB - MD5: 03c8a3986a7768921af3427409ddd7c8
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