dc.contributorhttps://ror.org/03ayjn504
dc.creatorLópez Caudana, Edgar Omar
dc.date.accessioned2023-06-06T15:29:42Z
dc.date.accessioned2023-07-19T19:19:49Z
dc.date.available2023-06-06T15:29:42Z
dc.date.available2023-07-19T19:19:49Z
dc.date.created2023-06-06T15:29:42Z
dc.identifierLópez Caudana, E. O., & Patiño Zúñiga, I. (2023). Appendix 2. Automated tool design. Technical report stage 1. Project E4C&CT: Ecosystem for scaling up computational thinking and reasoning for complexity. Tecnologico de Monterrey.
dc.identifierhttps://hdl.handle.net/11285/650808
dc.identifierhttps://orcid.org/0000-0002-1216-4219
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7715953
dc.description.abstractObjective 1: Design and development. Design and develop a platform hosting a digital ecosystem that integrates (i) instructional procedures for understanding computational problem solving with various degrees of complexity and (ii) automated tools based on learning analytics, artificial intelligence, games, machine learning, and data science that allow to extract data to analyze behaviors and scale up reasoning for complexity and computational thinking.
dc.languageeng
dc.publisherInstitute for the Future of Education
dc.rightshttp://creativecommons.org/licenses/by/4.0
dc.rightsopenAccess
dc.subjectHUMANIDADES Y CIENCIAS DE LA CONDUCTA::PEDAGOGÍA::TEORÍA Y MÉTODOS EDUCATIVOS
dc.titleAppendix 2. Automated tool design. Technical report stage 1. Project E4C&CT: Ecosystem for scaling up computational thinking and reasoning for complexity
dc.typeParte de reporte/Report part


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