The Intelligent Platform of Autonomous Learning in Post-Secondary Education

The study aimed to develop and test an autonomous learning intelligent platform's effectiveness in post-secondary education. It was conducted based on the Institute of Dentistry named after E.V. Borovsky in I.M. Sechenov First Moscow State Medical University (Moscow, Russia) and Humanitarian and technical academy (Kokshetau, Kazakhstan). This research involved 59 teachers and 390 students, who comprised the total sample of 449 respondents. The experiment consisted of three stages – introductory, experimental, and final. The introductory stage included the distribution of enrolled students into the experimental and control groups. Besides, at the introductory stage, the development of questionnaires directed at identifying students' and teachers' readiness to implement autonomous learning was performed. Apart from this, the involved educators were required to fill the learning platform with predetermined training content. Programmers developed the considered intelligent learning platform by prior agreement with educational institutions under study. The experimental stage aimed to introduce the designed model of autonomous learning based on the created intelligent platform. The final stage implied surveying of all study participants according to the developed questionnaires. After introducing the created autonomous learning model, it was revealed that 51.5% of enrolled teachers were ready for self-directed education at a high level, 20.4% – at a satisfactory level, 18.4% – at a moderate, and 9.7% – at a low level. Among the students of Sechenov University, 21% of respondents had a high level of readiness for autonomous learning based on intelligent platforms, 27% of students had a sufficient level, 35% – moderate, and 17% – low. Among the Humanitarian and technical academy students, 29% had a high readiness for autonomous learning, 30% were ready at a sufficient level, 25% at a moderate, and 16% at a low level. This study provided an opportunity to use the developed questionnaires and the model of autonomous learning in post-secondary education to research the implementation of self-directed training further. © 2021. All Rights Reserved.

Authors
Samusenkov V.1 , Klyushin V. 2 , Prasolov V.3 , Sokolovskiy K.4
Publisher
International Association of Online Engineering
Number of issue
10
Language
English
Pages
49-65
Status
Published
Volume
15
Year
2021
Organizations
  • 1 I.M. Sechenov Moscow State Medical University, Moscow, Russian Federation
  • 2 S.M. Nikolskii Institute of Mathematics, RUDN, Moscow, Russian Federation
  • 3 Financial University under the Government of the Russian Federation, Moscow, Russian Federation
  • 4 Humanitarian and Technical Academy, Kokshetau, Kazakhstan
Keywords
autonomous learning; intelligent platforms; mobile learning; Post-secondary education
Date of creation
16.12.2021
Date of change
16.12.2021
Short link
https://repository.rudn.ru/en/records/article/record/77208/
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