dc.contributorhttps://ror.org/03ayjn504
dc.creatorIbarra Vazquez, Gerardo
dc.creatorPirzado, Farman Ali
dc.date.accessioned2023-06-06T15:48:02Z
dc.date.accessioned2023-07-19T19:09:04Z
dc.date.available2023-06-06T15:48:02Z
dc.date.available2023-07-19T19:09:04Z
dc.date.created2023-06-06T15:48:02Z
dc.identifierIbarra-Vazquez, G., & Pirzado, F. (2023). Appendix 5. Instructional procedures for understanding computational problem solving. 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/11285/650812
dc.identifierhttps://orcid.org/0000-0002-0782-5369
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7715614
dc.description.abstractObjective: The instructional procedures for understanding computational problem solving with various degrees of complexity and the quality of the automated tools based on learning analytics, artificial intelligence, machine learning, and data science to analyze behaviors and scale up reasoning for complexity and computational thinking will be evaluated with internal focus group processes (indicators of collaboration indexes and results)
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 5. Instructional procedures for understanding computational problem solving. 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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