Intelligent modelling in the assessment of the quality of the preparation of specialists in physical culture and sport
ˑ:
Ural Federal University named after the First President of Russia B.N. Yeltsin (Ekaterinburg, Russia).
Email: a.a.polozov@mail.ru
Ural Federal University named after the First President of Russia B.N. Yeltsin (Ekaterinburg, Russia).
Ural Federal University named after the First President of Russia B.N. Yeltsin (Ekaterinburg, Russia).
Ural Federal University named after the First President of Russia B.N. Yeltsin (Ekaterinburg, Russia).
Abstract
Objective of the study is to methodologically substantiate a model of the AI-oriented MENLIN examination, making it possible to link the content of an academic discipline with the professional role of the student, the typical tasks of the physical culture and sport sector and a measurable professional result. Methods and structure of the study. The authors designed a pedagogical model of the MENLIN examination on the basis of a generative language neural network of the GPT class. Within the framework of the study, the procedure of preparing a dataset for the neural network and the technology of conducting the AI examination are presented. Results and conclusions. It is shown that generative artificial intelligence (AI) should be used not as a source of ready answers, but as an examination instrument capable of forming individualised professional scenarios, clarifying the role of the student, linking the content of the discipline with the typical tasks of the sector and organising a dialogue-based verification of reasoning. On the material of the preparation of specialists in physical culture and sport, the concepts of role and cluster of a professional solution are revealed, the logic of the formation of questions and an example of a scenario task in the physiology of sport are provided. It is concluded that MENLIN makes it possible to supplement independent test control, preserving the verification of the basic minimum of knowledge, but to transfer the main expert assessment to the ability of the learner to ensure a professional result.
KEYWORDS
References
- Verbitskiy A.A. Aktivnoe obuchenie v vysshey shkole: kontekstnyy podkhod [Active learning in higher school: a contextual approach]. Moscow: Higher School, 1991. 207 p.
- Zimnyaya I.A. Klyuchevye kompetentsii – novaya paradigma rezultata obrazovaniya [Key competencies as a new paradigm of the result of education]. Higher Education Today. 2003. No. 5. Pp. 34-44.
- Prikaz Mintruda Rossii ot 27.04.2023 No. 353n «Ob utverzhdenii professionalnogo standarta “Spetsialist po fitnesu (fitnes-trener)”» [Order of the Ministry of Labour of Russia of 27.04.2023 No. 353n ‘On the approval of the professional standard “Fitness specialist (fitness trainer)”’].
- American College of Sports Medicine. ACSM’s Guidelines for Exercise Testing and Prescription. 11th ed. Philadelphia: Wolters Kluwer, 2021. 548 p.
- Barrows H.S. A taxonomy of problem-based learning methods. Medical Education. 1986. V. 20. No. 6. Pp. 481-486. DOI: 10.1111/j.1365-2923.1986.tb01386.x.
- Harden R.M., Stevenson M., Downie W.W., Wilson G.M. Assessment of clinical competence using objective structured examination. British Medical Journal. 1975. V. 1. No. 5955. Pp. 447-451. DOI: 10.1136/bmj.1.5955.447.
- Holmes W., Bialik M., Fadel C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign, 2019. 242 p.


Журнал "THEORY AND PRACTICE