Advanced search
Start date
Betweenand

Study of educational methodologies based on constructionism to create content and projects to teach mathematics and science using IoT devices and a Virtual Learning Environment using machine learning as tutor

Grant number: 21/12005-3
Support type:Research Grants - Innovative Research in Small Business - PIPE
Duration: May 01, 2022 - April 30, 2024
Field of knowledge:Humanities - Education - Educational Teaching and Learning
Cooperation agreement: SEBRAE-SP
Principal researcher:Diogo Garcia Cunha
Grantee:Diogo Garcia Cunha
Company:DG Cunha Ensino Educacional
CNAE: Fabricação de periféricos para equipamentos de informática
Portais, provedores de conteúdo e outros serviços de informação na internet
Atividades de ensino não especificadas anteriormente
City: São José do Rio Preto
Assoc. researchers: Ricardo Scucuglia Rodrigues da Silva
Associated research grant:18/00968-9 - Easy-to-use hardware and software development with color intelligent connection signals and magnetic connectors for educational use, AP.PIPE
Associated grant(s):21/14995-0 - Study of educational methodologies based on constructionism to create content and projects to teach mathematics and science using IoT devices and a virtual learning environment using machine learning as tutor, AP.PIPE
Associated scholarship(s):22/11046-0 - Research and Development of the machine learning algorithm embedded in a virtual environment learning as an auxiliary tool to teach mathematics and science., BP.TT
22/12322-1 - Developing gamify educational modules using the technologies MERN stack and Unity 3D, BP.TT
22/10906-6 - Study, definition and implemantation of heuristics for a Virtual Learning Environment developed in the hibryd web using the technology stack MERN, BP.TT
+ associated scholarships 22/09402-3 - Research and Development of the machine learning algorithm embedded in a virtual environment learning as an auxiliary tool to teach mathematics and science, BP.TT
22/04380-1 - Research about constructivism/constructionism methodologies, mathematics and science content development and field work using microdigo and DigoLab as digital technologies, BP.TT
22/04009-1 - Study of educational methodologies based on constructionism to create content and projects to teach Mathematics and Science using IoT devices and a Virtual Learning Environment using machine learning as tutor, BP.PIPE - associated scholarships

Abstract

Since 2016 the Digo Maker startup helps kids and teens to learn science and mathematics in a relevant, ludic and practical way using computational thinking. In 2021 Digo Maker developed the DigoLab platform that is a Virtual Learning Environment and microdigo an educational solution based on Internet of Thing (IoT) electronics and coding to assemble educational projects related to STEM curriculum (Science, Technology, Engineering and Math). Statistics from PISA 2018 shows Brazil has a not good performance in literature, mathematics and science being among the 10 worst countries performance in the world and grades far below OECD countries. Another serious problem in Brazil is scholar evasion, which represent almost 1.5 million of teenagers abandoned the school every year 30 percent of that evasion is because students has lack of interest or low perspectives about what they learn. This project has intersection from 3 fields: Education, physical computer and computer science related to machine learning algorithms and Data Analytics. The foccus is investigate methodologies referenced in constructionism that can proportionate a theorical structure to develop blended learn activities using physical computer, computational thinking and using digital resources embedded with machine learning algorithms in DigoLab VLE to predict trends, performance and create microdigo project that resolve specific learning issues. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
Articles published in other media outlets (0 total):
More itemsLess items
VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Please report errors in scientific publications list by writing to: cdi@fapesp.br.