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Direct linkGoran Trajkovski; Heather Hayes – Digital Education and Learning, 2025
This book explores the transformative role of artificial intelligence in educational assessment, catering to researchers, educators, administrators, policymakers, and technologists involved in shaping the future of education. It delves into the foundations of AI-assisted assessment, innovative question types and formats, data analysis techniques,…
Descriptors: Artificial Intelligence, Educational Assessment, Computer Uses in Education, Test Format
Download full textWalcutt, J. J., Ed.; Schatz, Sae, Ed. – Advanced Distributed Learning Initiative, 2019
The book examines the shift needed to our systems and society to enable lifelong, experiential, interconnected learning journeys. The book outlines the vision for a learning ecosystem that spans technology, learning science, policy, and organizational factors. "Modernizing Learning" is the outcome of a multi-year study recently completed…
Descriptors: Educational Change, Lifelong Learning, Experiential Learning, Educational History
Citro, Constance F., Ed.; Straf, Miron L., Ed. – National Academies Press, 2013
Publicly available statistics from government agencies that are credible, relevant, accurate, and timely are essential for policy makers, individuals, households, businesses, academic institutions, and other organizations to make informed decisions. Even more, the effective operation of a democratic system of government depends on the unhindered…
Descriptors: Federal Government, Public Agencies, Statistics, Data Collection
Kanstoroom, Marci, Ed.; Osberg, Eric C., Ed. – Thomas B. Fordham Institute, 2008
America brims with education data and these days it seems everyone in education claims to be guided by data. In this book, leaders and scholars map the landscape of data providers and users and explores why what is supplied by the former but frequently fails to meet the needs of the latter. It documents the barriers to collecting good information,…
Descriptors: Education, Data, Data Analysis, Data Collection
Kolman, Anita Sue – 1978
The paper discusses a study of self-disclosure patterns of 29 college men and 35 college women. The purpose of the study was to determine the extent to which college students confided in their best male friend, best female friend, mother, and father about attitudes and opinions, tastes and interests, work and studies, money, personality, and body.…
Descriptors: College Students, Comparative Analysis, Data Analysis, Females
