TESTING AND LEARNING ALGORITHMS

Author(s): Rogov I.E.

Rubric: Educational environment

DOI: 10.21777/2500-2112-2021-3-5-12

Release: 2021-3 (36)

Pages: 5-12

Keywords: testing algorithms, education, algorithm cognition, systematics, information field, formal object of cognition

Annotation: The article explores the algorithms that are used in the field of education when testing students. It is shown that special algorithms are used for testing systems, which can represent a cognition tool and a knowledge assessment tool. It is shown that the algorithm can serve to describe the patterns of the surrounding world. The general description of algorithms is an information structure. The relationship between the algorithm and the information field is shown. The systematics of algorithms in relation to testing tasks is given. The aspects of complexity, resource use, structure and sequence of actions are considered. Schemes of algorithms of different types are given. The article describes a trinitarian model of the algorithm, which can serve as the basis for describing the algorithm as an object of cognition. The properties of the cognitive model of the algorithm are considered. The article introduces a new characteristic of the algorithm – “algorithm cognitiveness”, which is important and necessary when creating testing algorithms. The cognitiveness of the testing algorithm is characterized by a number of factors: test perception, reception, perception and apperception by students of the testing task. The obtained research results can be used to create a model of an intelligent testing system for students.

Bibliography: Rogov I.E. TESTING AND LEARNING ALGORITHMS // Education Resources and Technologies. – 2021. – № 3 (36). – С. 5-12. doi: 10.21777/2500-2112-2021-3-5-12