SMART PLATFORMS AS AN EFFECTIVE TOOL FOR ORGANIZING INDEPENDENT EDUCATION OF STUDENTS OF HIGHER EDUCATIONAL INSTITUTIONS
Keywords:
Independent learning; smart platform; learning analytics; individual learning trajectory; digital didactics; formative assessment; self-directed learningAbstract
This thesis scientifically substantiates the didactic, methodological and analytical capabilities of smart platforms in organizing independent learning of higher education students. The aim of the study is to identify ways to improve the mechanisms for planning, monitoring, and evaluating independent learning through smart platforms. The methodology used is pedagogical analysis, comparison, content analysis, and design approach. The scientific novelty lies in the systematization of the conditions for supporting individual trajectories based on a model that combines the functions of a smart platform with an independent learning cycle and learning analytics. The results show that the role of the teacher, the design of assignments, and transparent assessment criteria are crucial factors in the effectiveness of the platform.
References
1. Zimmerman B. J. Becoming a self-regulated learner: An overview // Theory Into Practice. Columbus: Ohio State University, 2002. 64 p.
2. Siemens G., Long P. Learning analytics: From data to impact // Educational Technology. New York: Association for Educational Communications and Technology, 2011. 36 p.
3. Bonk C. J., Graham C. R. The handbook of blended learning: Global perspectives, local designs. San Francisco: Pfeiffer, 2006. 624 p.
4. Полат Е. С., Бухаркина М. Ю., Моисеева М. В. Современные педагогические и информационные технологии в системе образования. Москва: Академия, 2015. 368 с.
5. Ҳайдаров Ф. И. Таълим жараёнида мустақил ишларни ташкил этиш методикаси. Тошкент: Ўқитувчи, 2018. 176 б.
6. Абдуқодиров А. А., Парпиев А. А. Педагогик технологиялар ва педагогик маҳорат. Тошкент: Фан, 2019. 240 б.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
