Application for Effective Memorization of Learning Material

Abstract

In this paper, the development of a web-based application designed for effective memorization of learning material using flashcards is presented. The study addresses the problem of knowledge retention and memory decay, referencing the widely recognized Ebbinghaus forgetting curve. A comparative analysis of existing spaced repetition algorithms and applications was conducted, including manual spaced repetition systems, absolute, relative, memory-model-based, and neural network-based approaches. Based on the findings, a suitable algorithm was selected and implemented within the application to optimize the learning process. Additionally, the paper explores modern approaches to automatic flashcard generation from text using large language models (LLMs). The proposed solution integrates AI-based generation as an optional feature, allowing users to create personalized flashcards from arbitrary text content.