Gulmira Bekmanova
Editorial Notes
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ABSTRACT
The proposed model for organizing blended and distance learning involves the creation of an individual learning path, which makes it flexible. The learning model is represented using an ontological model, and the decision rules for the model are logical rules. This training model is used to train teachers in digital literacy and distance learning in the context of Covid 19
- Golenkov V.V., Emeljanov VV, and Tarasov V.B. 2001. Virtual'nye kafedry i intellektual'nye obuchajushhie sistemy [Virtual Chairs and Intelligent Learning Systems]. Novosti iskusstvennogo intellekta [News of artificial intelligence], I. 4, 3-13.Google Scholar
- Bekmanova Gulmira, Ongarbayev Yerkin. 2020. Flexible Model for Organizing Blended and Distance Learning. In: Gervasi O. (eds) Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science, vol 12250. Springer, Cham. https://doi.org/10.1007/978-3-030-58802-1_21Google ScholarDigital Library
- Barlybayev, Alibek, Kaderkeyeva Zulfiya, Bekmanova Gulmira, Sharipbay Altynbek, Omarbekova Assel, and Altynbek Serik. 2020. Intelligent system for evaluating the level of formation of professional competencies of students. https://doi.org/10.1109/ACCESS.2020.2979277Google Scholar
- Kaderkeyeva Zulfiya, Bekmanova Gulmira, Sharipbay Altynbek, and Omarbekova Assel. 2019. A model and a method for assessing students' competencies in e-learning system. In Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems (DATA '19). Association for Computing Machinery, New York, NY, USA, Article 58, 1–5. DOI:https://doi.org/10.1145/3368691.3372391Google ScholarDigital Library
Index Terms
- Intelligent learning systems for LLL courses: Intelligent learning systems for LLL courses
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