Design of Personalized Learning Paths in Traditional LMS
Abstract
Personalized learning is one of the most significant trends in education. The article discusses the individualization of learning to use traditional LMS based on adaptive learning and artificial intelligence technologies. Several of the approaches have been considered, a method based on the construction of a software package connecting an adaptive engine, content source, LMS using the LTI protocol was selected for implementation.
The developed system for constructing personalized learning paths includes: a competency model, student models, a multi-level content, adaptive engines and a web application that connecting all components. The system is based on the model of competencies, which is a composition of indicators of achievement of competencies. Educational content is developed on the basis of a competency model, tasks are responsible for certain indicator of achievement of competencies and have different complexity. The course is built from micro-modules based on a student's model and a competency model, the content of which is formed in the learning process using adaptive technologies.
The current version of the application is developed on the basis of LMS Moodle using IRT and tested on first-year students.
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