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The Learning Agency
  • Home
  • About
    • About Us
    • Our Team
    • Our Openings
  • Our Work
    • Our Programs
    • Case Studies
    • Guides & Reports
    • Newsroom
  • The Cutting Ed
  • Home
  • About
    • About Us
    • Our Team
    • Our Openings
  • Our Work
    • Our Programs
    • Case Studies
    • Guides & Reports
    • Newsroom
  • The Cutting Ed

Guides & Reports

Resources for Safe and Responsible AI in Ed Tech

These resources can help ed tech developers put safe and responsible AI practices into action.
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Guidelines for the Safe and Responsible Use of AI in Ed Tech

As AI becomes more prevalent in classrooms, building tools that are both responsible and effective is crucial. These guidelines help ed tech developers prioritize students’ ...
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The Hidden Roots of Mathematics Struggles: Foundational Gaps Over Conceptual Peaks

What math skills do students most often struggle with? A new report from The Learning Agency identifies the most challenging concepts and suggests improvements.
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Closing the Child Speech Recognition Gap: Evidence, Limitations, and Paths Forward

Child speech-to-text systems lag far behind adult performance. This research review explains why and the most promising paths for closing the gap.
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Finetuning ASR Models for Child Voices

Automatic speech recognition systems perform poorly with child voices, hindering their ability to address challenges in assessment and instruction.
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Leaderboard datasets report

The Learning Agency Leaderboard focuses specifically on educational applications.
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What to Know Before Creating an Education Algorithm

This article explores what algorithms are and outlines the primary steps and considerations for building your own educational algorithm.
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Datasets

All of our free datasets are open-source, well-documented, and ready to support a variety of research, product development, and AI use cases.
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Choosing The Right Annotation Platform

In order to extract meaningful insights from data, it must be cleaned, structured, and labeled. This process is known as data annotation.
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