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dc.contributor.authorMarangu, David Kaimenyi
dc.contributor.authorChahira, Joseph Mbugua
dc.date.accessioned2025-09-24T11:56:14Z
dc.date.available2025-09-24T11:56:14Z
dc.date.issued2025
dc.identifier.issn2319–8656
dc.identifier.uri10.7753/IJCATR1406.1014
dc.identifier.urihttp://repository.mut.ac.ke:8080/xmlui/handle/123456789/6655
dc.description.abstractRobotics education is increasingly essential for preparing learners with skills in STEM, programming, and artificial intelligence. Yet, scaling such education equitably remains a global challenge. This study systematically reviews 20 peer reviewed publications (2013–2024) to explore how robotics education is being scaled across five dimensions: technical, pedagogical, institutional, financial, and geographic. Guided by Constructivist Learning Theory, the TPACK framework, and the Digital Divide and Equity Model, the review analyzes the role of cloud platforms, localized content, and connectivity innovations including mobile STEM labs. Cloud tools (e.g., Open Roberta, VEX code VR) support technical scalability, while teacher training through TPACK enhances institutional readiness. Constructivist approaches foster hands on, student centered learning, crucial for pedagogical scalability. However, financial and geographic inclusion remain limited. Solutions like mobile labs and low cost kits show promise but require broader policy support. The study calls for holistic, equity driven strategies to ensure sustainable and inclusive robotics education at scale.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Computer Applications Technology and Researchen_US
dc.subjectRobotic Education, Scalability, Theoretical Framework, Equity education, Cloud Computingen_US
dc.titleScaling Robotics Education: A Systematic Review of Technologies, Frameworks, and Equity Dimensionsen_US
dc.typeArticleen_US


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