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A spaced repetition based learning application

Learning is an everyday necessity worldwide, which needs to be done the correct way to be effective. Information tends to fade in what is known as “the forgetting curve”, a problem that concerns a wide range of population. However, the fading of the data can be reverted and stabilised by means of various techniques. One that can be used to achieve a good procure of knowledge is spaced repetition. This method has been demonstrated to provide a sustainable capacity of memorization for its users. One of the many ways of using it is by means of the Leitner system, a flashcard approach that determines when is necessary to regain certain knowledge. Those flashcards are composed by a question and its answer, storing cards of the same topic in decks. Spaced repetition does not usually consider the motivation of the user. However, as it is highly important to maintain the user comfortable, gamification has been introduced to fulfil that purpose. Due to the importance of providing social interaction, a social network-like approach has been embraced by the application. Due to the importance of fulfilling the 2030 agenda of the United Nations, considering the SDGs has also been relevant. This work explains the development of the product, named DeckLearn, as well as its impact towards the established objectives and working hypotheses.

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• Thymeleaf
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• Sonarqube

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.