What Students Need to Thrive in a Data- and AI-Driven World: Perspectives from Parents and Educators

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Bibliographic Details
Title: What Students Need to Thrive in a Data- and AI-Driven World: Perspectives from Parents and Educators
Language: English
Authors: Grady Deacon, Kara Conroy, Hannah Weissman, Mathematica
Source: Mathematica. 2026.
Availability: Mathematica. P.O. Box 2393, Princeton, NJ 08543. Tel: 609-799-3535; Fax: 609-799-0005; e-mail: publications@mathematica-mpr.com; Web site: https://www.mathematica.org
Peer Reviewed: N
Page Count: 11
Publication Date: 2026
Sponsoring Agency: Gates Foundation
Document Type: Reports - Research
Descriptors: Parent Attitudes, Teacher Attitudes, Artificial Intelligence, Technology Uses in Education, Data Use, Multiple Literacies, Critical Thinking, Academic Ability, Preferences
Abstract: Artificial intelligence (AI) and data-driven technologies are becoming part of students' everyday learning and future careers. As AI use in schools grows, educators, parents, and policymakers are working to identify the knowledge and skills students need to evaluate information, reason with data, and use AI responsibly. To better understand these perspectives, Mathematica and Data Science for Everyone surveyed parents, teachers, school administrators, and state and local education agency staff between February and March 2026. [This report was created with Data Science 4 Everyone.]
Abstractor: As Provided
Entry Date: 20260101
Accession Number: ED682667
Database: ERIC
Description
Abstract:Artificial intelligence (AI) and data-driven technologies are becoming part of students' everyday learning and future careers. As AI use in schools grows, educators, parents, and policymakers are working to identify the knowledge and skills students need to evaluate information, reason with data, and use AI responsibly. To better understand these perspectives, Mathematica and Data Science for Everyone surveyed parents, teachers, school administrators, and state and local education agency staff between February and March 2026. [This report was created with Data Science 4 Everyone.]