MetaMetrics Updates Lexile Framework for Students in Grades K-2

MetaMetrics has updated its Lexile Framework for Reading with three new enhancements designed to help beginning readers find books matched to their skill level more easily.

All books that scored 0L or below used to be given a BR, or beginning reader, score. Now those books will receive a Lexile score in addition, such as BR100L, allowing for more precise matching.

The company is also measuring reading materials for K-2 classrooms across more dimensions. Using input from teachers, reading specialists and studies, the added a nine-variable model to the algorithm that determines Lexile scores.

The third enhancement is the addition of "early-reading indicators" for K-2 content to help identify features that could present more of a challenge for specific students or to help make sure students are getting well rounded practice. "For example," according to a news release, "a text with low decoding demands and a low decoding early-reading indicator (i.e., many easy-to-decode words) could be selected for a student who is ready to apply their knowledge of basic sound and letter relationships and patterns to practice reading books on their own."

"I was privileged to be part of the team that examined early-grade texts to determine their unique features and enhanced the Lexile Framework to account for them," said Elfrieda Hiebert, CEO and president of TextProject, in a prepared statement. "Educators can now get information about which aspects of texts are more or less demanding at early reading levels. Early-Reading Indicators help to illuminate the wide variety of texts for young readers such as highly decodable books and books with repetitive structures that help foster development of the many skills necessary for high levels of reading with comprehension."

About the Author

Joshua Bolkan is contributing editor for Campus Technology, THE Journal and STEAM Universe. He can be reached at [email protected].

Featured

  • diverse business people using laptops overlaid with data processing textures

    Microsoft Copilot Gains Context‑Aware Agents for Teams, SharePoint and Viva Engage

    Microsoft has unveiled a public‑preview of its collaborative agents in Microsoft 365 Copilot, bringing a array of "always‑on" agents grounded in context for channels, meetings, SharePoint sites, Viva Engage communities, and Planner workloads.

  • magnifying glass highlighting a human profile silhouette, set over a collage of framed icons including landscapes, charts, and education symbols

    New AI Detector Identifies AI-Generated Multimedia Content

    Amazon Web Services and DeepBrain AI have launched AI Detector, an enterprise-grade solution designed to identify and manage AI-generated content across multiple media types. The collaboration targets organizations in government, finance, media, law, and education sectors that need to validate content authenticity at scale.

  • toolbox featuring a circuit-like AI symbol and containing a screwdriver, wrench, and hammer

    Microsoft Launches AI Tools for Educators

    Microsoft has introduced a variety of AI tools aimed at helping educators develop personalized learning experiences for their students, create content more efficiently, and increase student engagement.

  • robot brain with various technology and business icons

    Google Cloud Study: Early Agentic AI Adopters See Better ROI

    Google Cloud has released its second annual ROI of AI study, finding that 52% of enterprise organizations now deploy AI agents in production environments. The comprehensive survey of 3,466 senior leaders across 24 countries highlights the emergence of a distinct group of "agentic AI early adopters" who are achieving measurably higher returns on their AI investments.