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Abstract
 
 
Acadêmico(a): Heloisa Kaestner Kopsch
Título: FURBOT-WEB: UMA PLATAFORMA ADAPTATIVA PARA O ENSINO DE PROGRAMAÇÃO
 
Abstract:
This paper describes the development of a web system named FURBOT-WEB, which aims to be a personalized learning platform, based on the FURBOT framework. The FURBOT-WEB uses as a problem solving tool, the Google Blockly library, which allows programming with blocks. The resulting source code programming resolutions of exercises is interpreted by Js- Interpreter library and executed by TecEdu library. The personalized learning platform recommends programming logic exercises based on the student's knowledge in specific contents, using a recommendation system with content filtering. The results from the usability experiments demonstrate that the web system has a user-friendly, attractive and easy to use layout, but due to programming with blocks, it is not interesting for students who have had contact with the writing schedule. The results also demonstrated that the personalized learning platform correctly recommended exercises and is considered an important resource for students in their learning. The work is relevant in the academic sphere, because in relation to education, for teachers, it automates the exercises application process and in relation to learning, it allows students a personalized learning process, more attractive and with the potential to develop better capabilities.