US 2019/0103038 A1 · SYSTEMS AND METHODS FOR GENERATING DISTRACTORS IN LANGUAGE LEARNING

Abstract

Disclosed are systems, methods, and products for language learning software that automatically extracts text from resources using various natural-language processing features, which can be combined with custom-designed learning activities to offer a needs-based, adaptive learning methodology. The system may receive a text, extract keywords pedagogically valuable to non-native language learning, assign a difficulty score to the text using various linguistic attributes of the text, generate a list of potential distractors for each keyword related to a resource to implement in learning activities. Distractors may be of various types, which are dynamically selected from a distractor store depending on a learning activity chosen to meet a learner's needs. Distractors may vary in difficulty, and may be dynamically selected based on a learner's overall proficiency or based on a learner's abilities in specific language skills.

Claims20

Dependent claims

A computer-implemented method comprising:

automatically selecting, by a computer, from a keyword store, a set of target words stored in the keyword store, each respective target word having a word difficulty score based upon one or more skill scores of a learner-record stored in a learner database,
wherein the keyword store is configured to store metadata associated with each respective target word, and
wherein the metadata associated with each respective target word in the keyword word store indicates the word difficulty score of the respective target word;
identifying, by the computer, in a dictionary source, a plurality of words having an edit distance based upon a target word, wherein the edit distance of a word is an amount of letter-insertions and letter-deletions required for the word to be the target word;
and
generating, by the computer, at least one distractor comprising one or more words of the plurality of words, wherein the edit distance of each respective word in the at least one distractor satisfies an edit distance amount setting.

3 more elements

Dependencies are inferred from the claim text.

Systems and methods for generating distractors in language learning

Life of this patent

Systems and methods for generating distractors in language learning

Life of this patent

Abstract

Claims20