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A New Approach to Assessing the Complexity of Learning Tasks

15

S.S. Ermakov, E.A. Savenkov, D.A. Katyshev

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Abstract

The article considers approaches to assessing the complexity and difficulty indicators of training tasks of an adaptive simulator for career counseling. The authors introduce the concept of "real difficulty index of the task", which is an integral indicator of objective complexity and subjective difficulty of training tasks. Three levels of complexity in accordance with the stages of career counseling and their content filling with certain topics and concepts were also defined. It is shown that in the adaptive simulator the tasks of different levels of complexity partially overlap, providing a smooth individual transition to increasingly complex tasks. This approach allows us to objectively assess the complexity of tasks and provide a gradual increase in difficulty when students pass the simulator.

General Information

Keywords: computer adaptive simulator, career counseling, training task, statistical difficulty, difficulty level

Publication rubric: Modeling and Data Analysis for Digital Education

Article type: theses

Funding. The research was carried out with the financial support of the Ministry of Education of the Russian Federation (Ministry of Education of Russia) within the framework of the scientific project № 073-00038-23-02 from 13.02.2023.

For citation: Ermakov S.S., Savenkov E.A., Katyshev D.A. A New Approach to Assessing the Complexity of Learning Tasks. Digital Humanities and Technology in Education (DHTE 2023),, pp. 549–561.

Information About the Authors

Sergey S. Ermakov, PhD in Psychology, Senior Researcher of the Laboratory "Information Technologies for Psychological Diagnostics" Associate Professor of the Department of "Age Psychology named after Professor L.F.Obukhova" of the Faculty of "Psychology of Education", Associate Professor of the Department of "Applied Mathematics" of the Faculty of "Information Technology"., Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0003-4330-2618, e-mail: ermakovss@mgppu.ru

Egor A. Savenkov, Junior Researcher, Laboratory "Information Technologies for Psychological Diagnostics", Moscow State University of Psychology & Education, Moscow, Russia, ORCID: https://orcid.org/0009-0009-8510-0468, e-mail: easavenkov42@gmail.com

Dmitriy A. Katyshev, Junior Researcher, Laboratory "Information Technologies for Psychological Diagnostics", Moscow State University of Psychology & Education, Moscow, Russia, ORCID: https://orcid.org/0009-0002-7900-6431, e-mail: katyshevda@mgppu.ru

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