What is Reading Coach Passage Generation?
Reading Progress Passage Generation uses AI-generated reading passages to help educators safely create personalized reading assignments for their students. Auto-generated passages use topics, age, language and length input from the educator, as well as words identified for further practice with generative AI (Azure Open AI) to create a new passage where students can practice reading challenging words in context (challenging words are only available in English at this point). Content moderation is employed to generate safe passages that meet the students’ reading level.
What can Reading Progress Passage Generation do?
Enable educators to create personalized reading assignments safely and quickly in Teams for their students.
What is/are Reading Progress Passage Generation's intended use(s)?
Educators can use passage generation to quickly create practice opportunities for their students. It is the educator’s responsibility to review and edit the content for appropriateness and accuracy before assigning to students. While we employ various content filters and safeguards to limit questionable or inappropriate content, the underlying technology of passage generation is AI that has been trained on a wide range of internet sources. Therefore, we rely on educators to review and confirm the appropriateness of the final passage.
What safeguards are employed while generating the passage?
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Educators are instructed to review and approve the passage before sharing with their students.
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Topics, students’ ages, languages, and passage lengths are all based on a set of predefined lists.
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Content moderation (such as this) is employed on the passage before presented to an educator.
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Generated passages are only saved as part of the assignment and are not stored in other locations.
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In order to provide content that feels more factual and increase students interest and engagement in the passage, some passages are grounded on Wikipedia content.
How can educators provide feedback Reading Progress Passage Generation?
Educators can use the in-app feedback control to provide textual feedback on the model performance and requests.
