Pedagogical and Methodological Capabilities of Artificial Intelligence Tools in Developing Digital Literacy

Abstract

Artificial intelligence (AI) technologies have ushered in a new era in the development of students’ digital competence in higher education. This article analyzes the pedagogical and methodological capabilities of AI tools and provides an in-depth look at their impact on students’ ability to search, process, analyze information, and develop digital competence. The relevance of the study is explained by the need to develop digital competence in line with the requirements of the global labor market. A mixed methodological approach was used, and the effectiveness of AI-integrated lessons was evaluated in experimental and control groups. The quantitative phase included tests based on DigComp 2.2 indicators, while the qualitative phase included in- depth interviews with teachers and focus group discussions. The results showed that AI-based lessons had a significant positive impact on students’ personalized learning paths, problem-solving skills, and motivation. The role of AI tools in enhancing personalized learning, optimizing formative assessment through real-time learning analytics, and developing a culture of digital safety was scientifically explained. At the same time, limitations such as data privacy, academic integrity, and teacher digital readiness were also highlighted. These comprehensive research results provide practical recommendations for improving national and international educational strategies aimed at effectively developing digital literacy in modern higher education systems.