Keyword: «personalization of learning»

The relevance of research and evaluation of the effectiveness of the implementation of personalization principles of education in collaborative learning through LXP platforms (using the example of intellectual processes of cognition) is determined by the dynamics of modern learning technologies development and the low number of research works on the potential of the effective implementation of personalization principles of education in collaborative learning based on LXP platforms. The goal is to evaluate the effectiveness of implementing personalization principles of education in collaborative learning through LXP platforms (using the example of intellectual processes of cognition). The research is based on several fundamental methodological approaches, including: systemic, individualized and cognitive approaches. The systemic approach is significant from the point of view of the development and debugging of the LXP platform, which was carried out during the practical stage of this research; individualized and cognitive approaches reflect the focus on subjective activity and taking into account the personal needs of students, principles of personalization during the ongoing experimental research. Systematization of the theory is carried out in the course of the research, revealing the specific features of collaborative learning, personalization and increasing the efficiency of using LXP platforms. The positive and effective impact of collaborative learning and individualization on the achieved learning outcomes is emphasized. It is noted that the principles of personalization based on LXP platforms are a fundamental functional element, which becomes a distinctive characteristic of the LXP platform. The comparison of LMS- and LXP-platforms demonstrates the advantage of the latter in working with highly motivated to learn groups, due to the provision of greater variety. The author describes the progress of assessing the effectiveness of the implementation of personalization principles of education in collaborative learning through LXP-platforms (using the example of intellectual processes of cognition), associated with the development of neuropsychological tests, deployment of the platform, its scaling, integration of additional functions, debugging, etc. This is the effectiveness of the developed functionality of the LXP-platform in the context of influencing cognitive processes that comes down to increasing the effectiveness of courses and reducing the time required to complete practical exercises. The theoretical significance of the study is related to the systematization of issues of collaborative learning, individualization and use of LXP platforms. The practical significance of the study is revealed from the point of view of the potential of using the described experience by teachers and developers of LXP platforms to increase the effectiveness of solutions intended for learning.

The relevance of the study is due to the rapid introduction of artificial intelligence (AI) technologies in the educational sphere. At the same time, the issue of using AI in rural schools remains insufficiently studied. This problem is of particular importance in the context of the Republic of Sakha (Yakutia), where geographical remoteness and digital inequality create additional barriers to technological modernization of education. The issue of rural teachers' readiness to use these technologies remains unresolved despite the recognized potential of AI for personalizing learning and automating routine tasks. The aim of the study is to identify the level of readiness of teachers in rural schools of the Republic of Sakha (Yakutia) to use AI technologies in their professional activities. The work uses a combination of methods: analysis of theoretical sources, a survey of 345 teachers from 52 rural schools, testing the level of knowledge about neural networks, as well as methods of mathematical statistics for data processing. The main results of the study revealed a contradictory situation: 78% of teachers do not use AI in their work, while 36% express their interest in courses on neural networks. The survey results show a split in opinion about the usefulness of AI, with 47% in favor and 53% opposed. Additionally, there is a cautious attitude towards its use by students (40% strongly against). At the same time, teachers see the practical benefits of AI for drawing up lesson plans (32%), creating assignments (27%) and assessing (18%). Testing revealed a knowledge deficit: 89% of teachers are not familiar enough with neural network technologies. Based on the data obtained, a four-module advanced training program was developed, including: 1) AI basics, 2) application for lesson preparation, 3) assessment tools, 4) professional development of teachers. The program is implemented remotely with a practice-oriented approach and provides for the creation of a bank of methodological recommendations. The theoretical significance of the work lies in the systematization of knowledge about the capabilities and limitations of AI use in rural schools, as well as in the development of conceptual approaches to teacher training. The practical value of the study is manifested in the creation of an adapted advanced training program that can be adapted and expanded to other regions, taking into account local specifics. Prospects for further research include monitoring the effectiveness of the program implementation, studying the long-term impact of AI on the quality of education, and developing methodological recommendations for the use of AI technologies in the teaching practice of rural teachers.

Modern technologies, including artificial intelligence, are being actively introduced into education, changing traditional teaching methods. They offer personalization, automation of routine tasks, and new interactive formats, but also carry risks such as reduced independence and shallow learning. Surveys show that most students see AI as an assistant, not a substitute for live interaction. The key principle of successful implementation is a reasonable balance between technology and classical pedagogical approaches. The future of education lies in a harmonious combination of digital tools and the human factor.