Learning analytics is identified as one of the essential prerequisites for ensuring the quality of learning for each student and is associated with wider opportunities for the organization of individualized, differentiated and personalized learning. One of the focuses – the individualization and personalization of natural science and mathematics education – is connected with one of the priorities of Lithuanian education, recognizing the need to develop students’ mathematical, natural science and technological competences, and to foster a culture of innovation in schools. Although the importance of integrated education is recognized for the sustainable improvement of the student’s natural science and mathematics competence, there are problems in solving the issues of integrated organization of natural sciences and mathematics in lessons, searching for the most appropriate didactic solutions at the student and class levels. The usefulness of learning analytics in modern education is not in doubt internationally, but the approach to it in educational practice is quite ambiguous: the search for tools of learning analytics, the system of its use, definitions of advantages for the learner – these are the questions that raise researchers’ attention. It is recognized that the Lithuanian scientific discourse of the use of learning analytics in science and mathematics education contains little research, examples of pedagogical practice that analyse the possibilities of digital platforms with artificial intelligence and learning analytics tools are scarce.
This qualitative study was particularly sought to disclose the possibility of using learning analytics in the science education and math lessons. Focus group participants were teachers and students from general education schools in Lithuania who, in September – December 2021, participated in a project dedicated to the testing of learning analytics tools in science education and mathematics classes. The aim of the investigation was to extract the accumulated experience of teachers and students in working with digital platforms and in applying learning analytics based on artificial intelligence. The results of the study revealed that teachers and students have no doubts about the advantages of digital platforms integrating learning analytics based on artificial intelligence, in identifying student (class) learning gaps, learning characteristics, making data-based decisions regarding differentiation and individualization of learning. Research participants saw the importance of data generated by learning analytics in planning and organizing integrated math and science education lessons.