A comprehensive collection of academic research on generative AI in preK12 education organized into three categories:
Descriptive - Research that describes how generative AI is being used in classrooms, schools, or districts or how products are designed and built.
Impact (includes RCT + Quasi-Experimental) - Studies that test how well something works including but not limited to randomly dividing people into groups and comparing the results.
Review - Studies that combine and summarize all the research on a specific genAI topic to find patterns and answers.
We aim to include all research in the above categories on generative AI in preK12 education in the US. As research diverges from genAI for preK12 in the US - such as machine learning, education systems beyond preK12, or studies conducted outside the US - inclusion in the repository is based on relevance to our target audiences:
Superintendents, state, and federal K12 leaders
Education support organizations (unions, parent groups, etc.)
Leadership and product teams at technology companies
Academic researchers
Global education leaders
The Research Repository includes pre-published works but does not include journalism on AI for education.
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כלים דיגיטליים משמשים למטרות חינוכיות ומאפשרים לסייע בבניית תהליכי לימוד ובפיתוח אינטראקציה מפרה בין המורים לתלמידים ובקידום מיומנויות המאה ה-21. אל הכלים השונים מצורפים מדריכים מפורטים וסרטוני הסברה המייעלים את השימוש בהם.
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