Guides & Reports
Guidelines for the Safe and Responsible Use of AI in Ed Tech
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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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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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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The Universal Math Exam Pilot: Using LLMs To Generate Math Test Items
The Universal Math Exam explored whether artificial intelligence could generate valid, high-quality math questions that assess core reasoning skills.
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