Algorithms for Individualizing Learning based on the Composition of the Results of Pedagogical Experiments
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Abstract
This paper presents various aspects of the practical implementation of individualized learning algorithms (based on the results of pedagogical experiments) for both teacher-led instruction (in the classroom, remotely, or in a hybrid mode) and independent student work. The described system simultaneously teaches students course materials and independent learning techniques — that is, educational technologies that shape an individualized educational trajectory. A subset of educational technologies is determined individually for each student in the group. The educational technologies are independent of the course and universal, so they can be applied in subsequent or parallel courses. Teachers can describe new educational technologies as Python scripts without the involvement for developers. The proposed implementation integrates with the Mirera digital educational platform to expand the platform's capabilities.
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References
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