This category explores the dynamic field of Library and Information Science, emphasizing both traditional knowledge organization and emerging digital innovations. Learners gain practical skills in managing, preserving, and providing access to information resources in the modern knowledge society.

It integrates current trends such as artificial intelligence (AI) and machine learning in the digitization of library materials, reflecting the idea that “the library is a growing organism” — constantly evolving with technology. Learners will also develop competence in using reference management software and digital tools that enhance research, information retrieval, and scholarly communication.

Digitization and Artificial Intelligence in Libraries

Course Description: Digitization and Artificial Intelligence in Libraries

This course explores the integration of digitization technologies and artificial intelligence (AI) in the modernization of library and information services. It equips learners with the knowledge and practical skills to convert physical materials into digital formats, manage electronic collections, and apply intelligent systems for improved access, retrieval, and preservation of information.

Learners will examine how machine learning, optical character recognition (OCR), and metadata automation are transforming library workflows. The course also introduces reference management software, digital curation practices, and ethical considerations in AI-driven libraries.

Learning Outcomes:
By the end of this course, learners will be able to:

  1. Explain the concepts and importance of digitization in libraries.

  2. Apply AI and machine learning tools in digital resource management.

  3. Perform basic digitization processes, including scanning and OCR.

  4. Use reference management tools for digital scholarship.

  5. Evaluate the ethical and professional issues in AI-enhanced library services.