Lexile Insights for Teachers Aims to Help Understand Student Free Choice Reading

Reading platform company Beanstack has announced a new feature, "Lexile Insights for Teachers," to give them data and insights for a personalized approach to their students' free choice reading.

The Lexile Framework measures reading ability and text complexity of reading materials and gives teachers the ability to match reading choices with student ability levels. The framework also measures reading growth.

Lexile Insights for Teachers Aims to Help Understand Student Free Choice Reading

The new addition to the Beanstack's platform:

  • Tracks reading progress in individual student logs over time;

  • Analyzes the last three logged books and determines an average Lexile level;

  • Provides a chart of the average Lexile levels of logged books each week;

  • Identifies patterns and trends in student reading habits;

  • Allows teachers to customize instruction, reading assignments, and book recommendations to individual student needs;

  • Includes Lexile data for over 327,000 books in the Beanstack library;

  • Restricts Lexile viewing access to teachers and administrators only, to help encourage free choice reading; and

  • Gives teachers data to share with parents during conferences.

Beanstack noted that logged books without Lexile levels will not be included in calculating a student's average Lexile level.

For more information about Lexile Insights for Teachers, visit this Beanstack blog page.

About the Author

Kate Lucariello is a former newspaper editor, EAST Lab high school teacher and college English teacher.

Featured

  • glowing digital human brain composed of abstract lines and nodes, connected to STEM icons, including a DNA strand, a cogwheel, a circuit board, and mathematical formulas

    OpenAI Launches 'Reasoning' AI Model Optimized for STEM

    OpenAI has launched o1, a new family of AI models that are optimized for "reasoning-heavy" tasks like math, coding and science.

  • landscape photo with an AI rubber stamp on top

    California AI Watermarking Bill Supported by OpenAI

    OpenAI, creator of ChatGPT, is backing a California bill that would require tech companies to label AI-generated content in the form of a digital "watermark." The proposed legislation, known as the "California Digital Content Provenance Standards" (AB 3211), aims to ensure transparency in digital media by identifying content created through artificial intelligence. This requirement would apply to a broad range of AI-generated material, from harmless memes to deepfakes that could be used to spread misinformation about political candidates.

  • clock with gears and digital circuits inside

    Report Estimates Cost of AI at Nearly $300K Per Minute

    A report from cloud-based data/BI specialist Domo provides a staggering estimate of the minute-by-minute impact of today's generative AI boom.

  • glowing lines connecting colorful nodes on a deep blue and black gradient background

    Juniper Intros AI-Native Networking and Security Management Platform

    Juniper Networks has launched a new solution that integrates security and networking management under a unified cloud and artificial intelligence engine.