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Grant number: | 15/24331-1 |
Support Opportunities: | Regular Research Grants |
Start date: | May 01, 2018 |
End date: | April 30, 2020 |
Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques |
Agreement: | MCTI/MC |
Principal Investigator: | Roberto Almeida Bittencourt |
Grantee: | Roberto Almeida Bittencourt |
Host Institution: | Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
Associated researchers: | Carlos Alberto Rodrigues ; Christina von Flach Garcia Chavez ; David Moises Barreto dos Santos ; Fabio Kon ; Igor Fabio Steinmacher |
Associated scholarship(s): | 19/12921-0 - Enabling new programmers to the future internet,
BP.TT 19/14910-5 - Enabling new programmers to the future internet, BP.TT 18/12799-7 - Enabling new programmers to the future internet, BP.TT 18/15614-8 - Enabling new programmers to the future Internet, BP.TT 18/13074-6 - Enabling new programmers to the future Internet, BP.TT |
Abstract
The Future Internet is subject of several research projects in the scientific community. It is estimated that billions of personal devices will be connected to the internet producing Exabytes of data. These devices will be more and more programmable, enabling people to carry out adjustments to conform to the activities performed with these devices or even to develop new applications to facilitate their lives. However, studies show that people who venture in learning how to program face many difficulties in assimilating the knowledge needed, making programming something far away from users, limited to professionals in the field. Authors point out that the introduction to programming courses in Universities has a high number of fails, especially in majors that are not in the area of computing. This project proposes a solution to face these challenges through playful learning environments based on patterns of problems presented by apprentices, especially for those who are not from the area of computing. The aim is to identify patterns of programming learning problems presented by beginners and, based on this modelling, to propose a methodology in playful environment for the teaching of programming, as well as to develop a system that helps students in their studies. Everything will be tested and evaluated in a MOOC aiming to achieve the formation of a large number of new casual programmers. (AU)
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