MOKYMOSI ANALITIKOS NAUDOJIMAS MATEMATIKOS IR GAMTAMOKSLINIO UGDYMO PAMOKOSE: PAGRINDINIO UGDYMO MOKYTOJŲ PATIRTYS [APPLYING LEARNING ANALYTICS IN MATHEMATICS AND SCIENCE EDUCATION LESSONS: EXPERIENCES OF TEACHERS IN BASIC EDUCATION]

Learning analytics is identified as one of the essential preconditions for ensuring the quality of learning for each student and is associated with the wider possibilities of organizing individualized learning. One of the priorities of Lithuanian education is the individualization and personalization of science and mathematics teaching, which is related to one of the priorities of Lithuanian education, that is recognizing the need to develop students' mathematics, science, and technology competencies as well as to foster a culture of innovation in schools. The importance of integrated teaching (learning) for the sustainable development of a student's science and mathematics competence is recognized. However, problems arise in addressing the issues of integrated science and mathematics organization in the classroom, in finding the most appropriate didactic solutions at the level of a student and a classroom. The benefits of learning analytics in modern education are not in doubt, but in educational practice the approach to it is ambiguous: the search for learning analytics tools, the system of its use, the definitions of benefits for the learner. It is acknowledged that in the discourse of the use of learning analytics in science education, there is little research, examples of pedagogical practice that contain analysis of the possibilities of digital platforms with artificial intelligence and learning analytics tools, and the analysis of teachers' experiences. In the conducted qualitative study (focus group discussion) with mathematics and science teachers, who have accumulated experience in working with digital platforms and applying artificial intelligence-based learning analytics, the possibilities of using learning analytics in the lesson have been disclosed. The results of the research do not allow making generalized conclusions that would be suitable for the whole Lithuania, however the results of the research revealed that the development of models for the application of learning analytics and the analysis of their effectiveness are important directions for further research.