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Spaced Repetition Based Adaptive E-Learning Framework

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Progresses in Artificial Intelligence & Robotics: Algorithms & Applications (ICDLAIR 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 441))

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Abstract

With global education moving towards online education, we see a lot of emerging techniques to help facilitate paradigm shift. Memorization being a fundamental part of the process of learning, we focus on making memorizing an efficient task for students. We plan to make use of 2 emerging methodologies that help us memorize and retain information better in the long term. These are: Spaced Repetition: this technique helps in retaining information efficiently. Adaptive Learning: This will help us make the process of learning personalized, so that the user is always challenged just enough to enable growth. To help users stay consistent, we plan to add game-like elements to the system to help facilitate regular use which will lead to better results.

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Correspondence to Varun Godambe .

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Kharwal, A., Umrotkar, N., Godambe, V., Kolekar, U., Badgujar, V. (2022). Spaced Repetition Based Adaptive E-Learning Framework. In: Troiano, L., Vaccaro, A., Kesswani, N., Díaz Rodriguez, I., Brigui, I. (eds) Progresses in Artificial Intelligence & Robotics: Algorithms & Applications. ICDLAIR 2021. Lecture Notes in Networks and Systems, vol 441. Springer, Cham. https://doi.org/10.1007/978-3-030-98531-8_3

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