Avaliação de Usabilidade e Aprendizagem de Algoritmos com o uso do TuPy Online

• Autor(a) principal: Goulart, Jorge Luiz de Jesus
• Data de Publicação: 2019
• Outros Autores: [e-mail]
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UERJ
• Texto Completo: http://www.bdtd.uerj.br/handle/1/20359
• topic: Algorithms; Complexity of Algorithms; Empirical Analysis of Algorithms; Automatic Analysis of Algorithms; Algoritmos; Estatística não paramétrica; Aprendizagem; TuPy Online; Estatística Não-Paramétrica; CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

This study aims to evaluate the usability and the effectiveness of the TuPy Online tool in the learning of Computer Science courses lectured at the State University of Rio de Janeiro (UERJ). TuPy was conceived as a tool for visualizing execution of algorithms, with an emphasis on displaying data structures at different levels of abstraction. This work is the result of the evaluation of the systematic application of the tool in several undergraduation and graduation classes. Using the methodology of Savi et al. for evaluation of learning, we verified that the introduction of the tool produced a positive impact and, if considered the perception aspect of the students, an even more expressive impact. Both analysis were validated with statistical significance. It was also done an usability evaluation of the tool. A usability evaluation of the tool was also made using the SUS questionnaire. In addition, a questionnaire was applied in search of a specific return regarding the functionality of TuPy Online. Both results were positive and provided the mapping of possible software improvements.