MOBILE LEARNING AND THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE IN TODAY’S WORLD: METHODOLOGICAL PRINCIPLES AND DIDACTIC MODELS

Abstract

In the course of their research, the authors analysed contemporary scientific approaches to the development of mobile learning against the backdrop of the rapid spread of artificial intelligence technologies, and summarised the current methodological principles and didactic models for their integration into the educational process. A theoretical justification of the methodological principles of mobile learning in the context of the development of artificial intelligence technologies; the systematisation of contemporary didactic models for their integration into the educational process; and the identification of promising areas for their application to ensure personalised, adaptive and continuous learning. The methodological basis of the study comprises the systemic, competencebased, activity-based and student-centred approaches. Methods of analysis, synthesis, comparison, systematisation and generalisation of the results of contemporary domestic and international scientific research were employed. The study found that modern mobile learning has evolved from the use of mobile devices as a means of accessing educational information to the creation of a holistic, adaptive digital learning environment integrated with artificial intelligence services. The key methodological principles of mobile learning have been systematised, including student-centredness, personalisation, adaptability, the integration of formal and informal learning, the development of digital competence, academic integrity and the pedagogically sound use of intelligent services. Contemporary didactic models of mobile learning are summarised, and their potential for use in the context of the digital transformation of education is identified. Examples are provided of the practical application of mobile applications and generative artificial intelligence in the teaching of the subjects ‘Foreign Language’, ‘Information Management’ and ‘Information Marketing’. The study concludes that the effectiveness of mobile learning is determined not only by the technological capabilities of mobile devices, but above all by a pedagogically sound combination of methodological principles, didactic models and artificial intelligence tools. The integration of generative artificial intelligence into mobile learning contributes to the creation of an adaptive, personalised and continuous educational environment capable of ensuring high-quality training for learners in line with the contemporary challenges of the digital society.