Abstract: A combination of knowledge representation and retrieval, assessments and personalization for a tutoring platform that provides an automated phased word exposition method for vocabulary learning and enable learners to learn words (or any learning objective) with sufficient proficiency and without excessive repetition. The phased learning objective method implements a moving average model that models the learner across multiple dimensions (e.g. reading, listening, writing, speaking) such that the platform is confident of the learner's understanding, while using minimal assessment doses, and such that the understanding transfers across experiences. The method implemented provides for multiple learning and assessment activities for a learning objective and leverages the same learner model for each learning dimension. Each word of a word set passes through learning and assessment-only phases for statistically significant evidence of learning.

Abstract: A combination of knowledge representation and retrieval, assessments and personalization for a tutoring platform that provides an automated phased word exposition method for vocabulary learning and enable learners to learn words (or any learning objective) with sufficient proficiency and without excessive repetition. The phased learning objective method implements a moving average model that models the learner across multiple dimensions (e.g. reading, listening, writing, speaking) such that the platform is confident of the learner's understanding, while using minimal assessment doses, and such that the understanding transfers across experiences. The method implemented provides for multiple learning and assessment activities for a learning objective and leverages the same learner model for each learning dimension. Each word of a word set passes through learning and assessment-only phases for statistically significant evidence of learning.

Abstract: Techniques are provided that facilitate adaptively expanding vocabulary of an entity. A computer-implemented method is provided that comprises determining, by a device operatively coupled to a processor, one or more areas of a word relationship graph that correspond to a zone of proximal vocabulary development of an entity based on one or more seed words included in a vocabulary associated with the entity. The computer-implemented method can further comprise, identifying, by the device, a set of words included the word relationship graph based on respective words in the set being associated with the one or more areas, and selecting, by the device, a subset of recommended words for learning by the entity from the set of words based on one or more criteria.

Abstract: Techniques are provided that facilitate adaptively expanding vocabulary of an entity. A computer-implemented method is provided that comprises determining, by a device operatively coupled to a processor, one or more areas of a word relationship graph that correspond to a zone of proximal vocabulary development of an entity based on one or more seed words included in a vocabulary associated with the entity. The computer-implemented method can further comprise, identifying, by the device, a set of words included the word relationship graph based on respective words in the set being associated with the one or more areas, and selecting, by the device, a subset of recommended words for learning by the entity from the set of words based on one or more criteria.