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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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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