METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR TAGGING ATOMIC LEARNING UNITS OF INSTRUCTIONAL CONTENT WITH STANDARDS AND LEVELS OF RIGOR AND FOR USING THE TAGGED ATOMIC LEARNING UNITS FOR DYNAMICALLY GENERATING A CURRICULUM FOR INDIVIDUALIZED ACADEMIC INSTRUCTION

摘要

A system for tagging atomic learning units of instructional content and for dynamically generating a curriculum tailored to an individual using the tagged units is disclosed. The system includes a tagging module for tagging atomic learning units of instructional content with at least one standard and at least one level of rigor to form learning objects. The system further includes a learning objects database for storing the learning objects. The system further includes a dynamic curriculum generation module for dynamically generating a curriculum tailored to an individual by selecting individual learning objects from the database using the tags and for presenting the curriculum to the individual.

主权项

1. A system for tagging atomic learning units of instructional content and for dynamically generating a curriculum tailored to an individual using the tagged units, the system comprising:
a tagging module for tagging atomic learning units of instructional content with at least one standard and at least one level of rigor to form learning objects; a learning objects database for storing the learning objects; and a dynamic curriculum generation module for dynamically generating a curriculum tailored to an individual by selecting individual learning objects from the database using the tags and presenting the curriculum to the individual, wherein the dynamic curriculum generation module is configured to weight learning objects with selection probabilities for the individual relative to the individual's historical performance in a courseware brand associated with each learning object and to use the selection probabilities in selecting the new learning objects to be presented to the individual so that a particular courseware brand that has historically advanced the individual's performance with respect to a standard will be selected with higher selection probabilities than selection probabilities assigned to other courseware brands, wherein the individual is a student, the standard is an educational standard, and the historical performance is determined based on a historical analysis of success of the student using the courseware brand at a specified level of rigor.