Personalizing Test Prep Using AI

Your Name and Title:  Doug Mingle, Senior Sales Consultant

Library, School, or Organization Name: Lumos Learning

Co-Presenter Name(s):  Al Lewis, Superintendent Weymouth Township School District, NJ.

Area of the World from Which You Will Present: Princeton, NJ

Language in Which You Will Present:  English

Target Audience(s): School and Public Libraries

Short Session Description (one line): Personalizing Test Prep Using AI

Full Session Description (as long as you would like):  

In today's rapidly evolving educational landscape, school libraries face the challenge of staying relevant and effective in supporting student learning. With the increasing reliance on technology and digital resources, traditional libraries must adapt to meet the needs of students and educators. Artificial Intelligence (AI) offers a promising solution to this challenge by enhancing the accessibility, personalization, and effectiveness of library resources. However, the integration of AI into school libraries remains underexplored and underutilized.

This session will explore how AI can transform school libraries into dynamic, student-centered learning hubs. We will delve into the practical applications of AI in school libraries, focusing on how database solutions can facilitate this transformation. Attendees will gain insights into the benefits of AI in libraries, practical implementation strategies, and real-world examples of successful integration.

Learning Objectives:

  • Understand the challenges faced by school libraries in the digital age.
  • Explore the potential of AI to enhance library services and support student learning.
  • Discover real-world examples of AI integration in libraries.
  • Gain practical knowledge on setting up and using AI tools to improve student outcomes.

Broadly covers:

  • Benefits of AI: personalization, data-driven insights, and enhanced resource management.
  • AI applications in libraries: cataloging, recommendation systems, and interactive learning tools.
  • Case Study:  
    • Real-world example of AI implementation.
    • Impact on student test performance and overall learning experience.

 

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