Article

Adaptive Forgetting Curves for Spaced Repetition Language Learning

Authors:

Andrew RiceAuthors Info & Claims

Artificial Intelligence in Education: 21st International Conference, AIED 2020, Ifrane, Morocco, July 6–10, 2020, Proceedings, Part II

Pages 358 - 363

https://doi.org/10.1007/978-3-030-52240-7_65

Published: 06 July 2020 Publication History

Abstract

The forgetting curve has been extensively explored by psychologists, educationalists and cognitive scientists alike. In the context of Intelligent Tutoring Systems, modelling the forgetting curve for each user and knowledge component (e.g. vocabulary word) should enable us to develop optimal revision strategies that counteract memory decay and ensure long-term retention. In this study we explore a variety of forgetting curve models incorporating psychological and linguistic features, and we use these models to predict the probability of word recall by learners of English as a second language. We evaluate the impact of the models and their features using data from an online vocabulary teaching platform and find that word complexity is a highly informative feature which may be successfully learned by a neural network model.

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Cited By

Ma BHettiarachchi GFukui SAndo YHilliger IKhosravi HRienties BDawson S(2023)Each Encounter Counts: Modeling Language Learning and ForgettingLAK23: 13th International Learning Analytics and Knowledge Conference10.1145/3576050.3576062(79-88)Online publication date: 13-Mar-2023
https://dl.acm.org/doi/10.1145/3576050.3576062

Index Terms

Adaptive Forgetting Curves for Spaced Repetition Language Learning
1. Applied computing
  1. Education
2. Computing methodologies

Index terms have been assigned to the content through auto-classification.

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Information

Published In

cover image Guide Proceedings

Artificial Intelligence in Education: 21st International Conference, AIED 2020, Ifrane, Morocco, July 6–10, 2020, Proceedings, Part II

Jul 2020

457 pages

ISBN:978-3-030-52239-1

DOI:10.1007/978-3-030-52240-7

Editors:
Ig Ibert Bittencourt
Federal University of Alagoas, Maceió, Brazil
,
Mutlu Cukurova
University College London, London, UK
,
Kasia Muldner
Carleton University, Ottawa, ON, Canada
,
Rose Luckin
University College London, London, UK
,
Eva Millán
University of Malaga, Málaga, Spain

© Springer Nature Switzerland AG 2020.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 06 July 2020

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Cited By

Ma BHettiarachchi GFukui SAndo YHilliger IKhosravi HRienties BDawson S(2023)Each Encounter Counts: Modeling Language Learning and ForgettingLAK23: 13th International Learning Analytics and Knowledge Conference10.1145/3576050.3576062(79-88)Online publication date: 13-Mar-2023
https://dl.acm.org/doi/10.1145/3576050.3576062

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