EvAção: Intelligent Platform for Dropout Analysis in Online Learning
Dropout. Distance education. Learning Analytics.
The use of technological resources in the teaching and learning process,
especially in relation to Distance Education, has enabled, through virtual
environments, the storage of large volumes of data capable of providing various
relevant information for analysis. One of the themes susceptible to this analysis
is school dropout. The application of Learning Analytics techniques, with the
support of artificial intelligence, and allied to the presentation of data in
dashboards, can contribute to generating visualizations about the behavior of
participants in a virtual learning environment, allowing managers and educators
a decision-making process based on evidence. From this perspective, the
general objective of this research is: to develop a platform that, through the use
of Learning Analytics techniques and integration with an Artificial Intelligence
platform (ChatGPT), provides the necessary information for decision making by
managers and teachers, assisting in the fight against dropout in the scope of
distance education. For the development of the platform, the User-Centered
Design method was followed, supported by the use of the Project Model Canvas
tool for the survey of requirements and functionalities and in the reference model
of Learning Analytics. The results of the research revealed the transformative
potential of the integration between Learning Analytics and Artificial Intelligence
in the fight against school dropout in the context of Distance Education.