Keyword: «personalized learning»

The relevance of the article content is associated with the need to expand the understanding of the advantages and problems of personalized learning. The goal is to show the relationship between personalized learning and the corresponding assessment of results in order to provide students with step-by-step monitoring of achievements including the adaptive assessment method. The existing practice of contact training, with all its advantages, cannot always provide high quality training for all students and take into account personal preferences. Therefore, personalized learning is attracting more and more attention in educational practice, which is actively developing in the era of digitalization and is influencing changes in approaches to learning, emphasizing the student-centered character and determining the search for new methods for assessing results. The article examines the historical origins of personalized learning and describes the factors that currently determine the personalization of educational activities. One of the advantages of this method is the freedom to choose topics and content of the material being studied, pace and conditions of learning. Taking into account the greater independence of students in the context of such training, the need to provide operational information about the level and quality of learning achievements is becoming more urgent for a prompt response to results, increasing learning motivation and developing self-assessment skills. The scientific novelty in the content of the article is due to a comprehensive consideration of a personalized approach to both learning and evaluating its results. The solution to this problem lies in the use of the theory and practice of pedagogical measurements and adaptive assessment methods, which are based on specialized software and tools. These tools ensure the selection of appropriate tasks according to the level of preparation of the students, and they can produce assessment results quickly and accurately. The complexity of designing these systems is shown to be due not only to technical and technological reasons, but also to the specific design of control and evaluation materials that provide for a comprehensive assessment of knowledge and competences. The theoretical significance of the article is due to the substantiation of the combination of learning processes and adaptive assessment with a personalized approach. In practical terms, to improve the effectiveness of this approach, developers can use an algorithm for co-designing learning and assessment materials.

The article discusses the use of a remote learning management system. Its advantages, work features and disadvantages are considered. The analysis of the influence of the distance learning system on the quality of the educational process is carried out.

Artificial intelligence technologies are integrating into all social spheres, including the educational process. The implementation of artificial intelligence in educational process and its organization can significantly increase the students' academic performance, improve the education quality, prepare students for the continuously changing labour market conditions, as well as raise the students' learning motivation. Therefore, a more profound study of the impact of artificial intelligence technologies on students' academic performance is an urgent issue of the present educational technologies and pedagogy. The objective of the article is studying the role of artificial intelligence in enhancing the students' academic performance. The main research method is a questionnaire survey. The article provides a theoretical analysis of the current state of artificial intelligence integration into the educational process, assesses the impact of artificial intelligence on the students' academic performance in different training areas and courses. Based on the respondents' suggestions, the main directions and prospects for the implementation of artificial intelligence in higher education are determined, and there are recommendations on the potential use of these technologies in education. The results of the research reveal that the students are actively applying artificial intelligence to solve various educational tasks. There is a positive impact on the academic performance, which highlights the significance of artificial intelligence technologies integration into the education. The correlation analysis between the implementation of artificial intelligence and academic performance shows that as the year of studying increases, more students use artificial intelligence technologies, and their academic performance also improves. The novelty of the study comprises the necessity to apply an integrated approach to the implementation of artificial intelligence in educational process, which includes not only technical support, but also educational initiatives to train students in working with these technologies, in order to enhance academic performance and provide a more effective educational process. Theoretical significance of the study is the formulation and specification of possible approaches and ways of implementing artificial intelligence into education to improve academic performance. Practical significance of the research is the possibility of using the results of the study to organize a more effective educational process and improve academic performance.