The article justifies the need for clustering of machine learning knowledge of future teachers of labor training and technologies. It is established that their training in the basics of machine learning should be based on the study of three clusters of educational material on technical phenomena of the drive of a technological machine. Clusters of educational material on technical phenomena of the drive of a technological machine will contribute to the organization of the educational process using methods of activating and stimulating the educational and cognitive activity of higher education students. The cluster approach will allow forming the machine learning literacy of future teachers of labor training and technologies relevant to the content of their future professional activities.
Іванчук et al. (Mon,) studied this question.