Open AccessApplication of individual educational trajectories and adaptive content in engineering education
Author(s) -
R. D. Galeev,
I. R. Gilmanshin,
Н. Ф. Кашапов,
Suriya Gilmanshina
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/915/1/012013
Subject(s) - personalized learning , computer science , trajectory , quality (philosophy) , big data , adaptive learning , educational data mining , educational technology , mathematics education , artificial intelligence , multimedia , teaching method , psychology , open learning , data mining , cooperative learning , philosophy , physics , epistemology , astronomy
The article explores the educational technology of personalized training in the training of engineers. A hypothesis is presented on the relationship between the quality of student preparation and the individual educational trajectory reinforced by feedbacks. The use of new pedagogical technologies based on machine learning and big data is proposed. An algorithm for creating personalized educational systems is defined.