Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
Author
Publication Type
| Books | 3 |
| Collected Works - General | 2 |
| Reports - Evaluative | 1 |
Education Level
| Elementary Secondary Education | 2 |
| Higher Education | 2 |
| Postsecondary Education | 2 |
| Adult Education | 1 |
Audience
| Policymakers | 3 |
| Teachers | 2 |
| Administrators | 1 |
| Parents | 1 |
| Practitioners | 1 |
| Students | 1 |
Location
| India | 2 |
| Australia | 1 |
| China | 1 |
| Finland | 1 |
| Hong Kong | 1 |
| Iraq | 1 |
| Israel | 1 |
| Malaysia | 1 |
| New Zealand | 1 |
| Nigeria | 1 |
| Palestinian Territories | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Burçak Çagla Garipagaoglu, Editor – Peter Lang Publishing Group, 2025
Amid climate change, digital transformation, global warming, economic recessions, and rising geopolitical tensions, K-12 and higher education are undergoing a profound transformation. All these remarkable and unsettling changes, along with groundbreaking advancements over the past decade, will undoubtedly impact students' learning trajectories and…
Descriptors: Educational Change, Models, Elementary Secondary Education, Higher Education
Harold Abelson, Editor; Siu-Cheung Kong, Editor – MIT Press, 2024
In today's digital society, computational thinking (CT) is a critical component of all children's education. In "Computational Thinking Curricula in K-12," editors Harold Abelson and Siu-Cheung Kong present a range of professional perspectives on the most effective ways to integrate CT into school curricula. Their edited volume, which…
Descriptors: Computation, Thinking Skills, Elementary Secondary Education, Educational Policy
Bosede Iyiade Edwards, Editor; Bruno Lot Tanko, Editor; Mustafa Klufallah, Editor; Hassan Abuhassna, Editor; Caleb Chidozie Chinedu, Editor – Lecture Notes in Educational Technology, 2025
This book explores the symbiotic relationship between human learning and machine learning, examining how emerging technologies and human-machine interfaces are reshaping the educational landscape. Organized into four sections with 20 chapters, it provides a multidisciplinary perspective on the dynamic intersection of these twin concepts. Bridging…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Learning

Direct link
Peer reviewed
