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The forgetting curve has been extensively explored by psychologists,educationalists and cognitive scientists alike. In the context of IntelligentTutoring Systems, modelling the forgetting curve for each user and knowledgecomponent (e.g. vocabulary word) should enable us to develop optimal revisionstrategies that counteract memory decay and ensure long-term retention. In thisstudy we explore a variety of forgetting curve models incorporatingpsychological and linguistic features, and we use these models to predict theprobability of word recall by learners of English as a second language. Weevaluate the impact of the models and their features using data from an onlinevocabulary teaching platform and find that word complexity is a highlyinformative feature which may be successfully learned by a neural networkmodel.

Adaptive Forgetting Curves for Spaced Repetition Language Learning