Personalized Intelligent English Vocabulary Learning System Based on Item Response Theory and Learning Memory Cycle

Learning English involves memorization and practice of a large number of vocabularies and grammatical structures. It is well-known that English learning should pay attention to vocabulary learning, and even more the vocabulary learning is a key issue for English learning because vocabularies are basic elements in an English sentence. This study proposes a personalized intelligent English vocabulary learning system based on item response theory and learning memory cycle, which can appropriately recommend English vocabulary for learning according to the vocabulary ability of the individual learner and perform the review process based on various learning memory cycles of vocabularies to the individual learner.