Session materials for Kibotics and Scratch programming experience

dc.contributor.authorRodriguez Cabello, Daniel
dc.date.accessioned2025-05-27T08:20:46Z
dc.date.available2025-05-27T08:20:46Z
dc.date.issued2025
dc.descriptionA quasi-experimental design with control group was used, applying pre- and post-intervention tests to measure the development of computational thinking. Data were collected through a validated questionnaire and a final programming exam, after the completion of instructional sessions with three different environments: Scratch, Scratch with Kibotics, and Python with Kibotics.
dc.description.abstractThe project aims to evaluate how different programming environments (Scratch, Scratch with Kibotics, and Python with Kibotics) influence the development of computational thinking in secondary school students. Using a quasi-experimental design with 161 students aged 14, progress was measured through pre- and post-tests, as well as a final programming exam. Results show that using Kibotics significantly enhances computational skills, especially when combined with Scratch. Additionally, Kibotics appears to help reduce gender performance gaps.
dc.identifier.citationRodríguez, D., Hijón-Neira, R., Pizarro, C., & Cañas, J. M. (2025). Gender Analysis + Fostering Computational Thinking with Simulated 3D Robots. Universidad Rey Juan Carlos. https://hdl.handle.net/10115/87277
dc.identifier.urihttps://hdl.handle.net/10115/87277
dc.language.isoes
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 Internationalen
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectComputational thinking
dc.subjectSecondary education
dc.subjectScratch
dc.subjectPython
dc.subjectEducational robotics
dc.subjectKibotics
dc.subjectGender gap
dc.titleSession materials for Kibotics and Scratch programming experience
dc.typeWorking Paper

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