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The ease of creating digital content coupled with technological advancements allows institutions and organizations to further embrace distance learning. Teaching materials also receive attention, because it is difficult for the student to obtain adequate didactic material, being necessary a high effort and knowledge about the material and the repository. This work presents a framework that enables the automatic metadata generation for materials available in educational video repositories. Each module of the framework works autonomously and can be used in isolation, complemented by another technique or replaced by a more appropriate approach to the field of use, such as repositories with other types of media or other content.

Being able to read fluently directly affects the individual's interaction with society. However, there are few tools that help in the process of developing fluency and in the diagnosis of problems in a playful way. Although applied to foreign language learning, automatic speech recognition (ASR) techniques are not widely used in the literature to support mother tongue development. In this sense, this work proposes a gamified computational approach to diagnose failures in literacy. The proof of concept shows that the tool developed is capable of automatically producing reports that are consistent with reality and useful for teachers and managers in decision-making.