A Mobile Technology-Based Framework for Digital Libraries: Bridging Accessibility and Personalized Learning

Abstract

With the rapid development of mobile technology, digital libraries have become critical platforms for supporting education and academic research. However, traditional digital libraries face significant challenges in terms of accessibility on mobile devices and personalized learning support. In particular, existing technologies and research have yet to comprehensively address the need for meeting diverse reader requirements and enhancing the convenience and flexibility of information access. Against this backdrop, a mobile technology-based digital library framework was proposed in this study, aimed at improving the reader experience and promoting personalized learning through accessibility-assistance tools and personalized learning path recommendation systems. Specifically, the study focuses on two core components: (a) the design of accessibility-assistance tools for mobile digital libraries, ensuring that diverse readers, particularly those with special needs, can easily access information; and (b) the development of personalized learning path recommendation methods, integrating readers’ interest points with learning themes to achieve more precise and intelligent learning support. By integrating mobile technology with intelligent recommendation algorithms, innovative applications within the digital library domain were explored, with the goal of offering new insights into enhancing the quality of digital library services and learning efficiency.