Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Algorithms | 3 |
Artificial Intelligence | 3 |
Grade 6 | 3 |
Educational Technology | 2 |
Accuracy | 1 |
At Risk Students | 1 |
Attendance | 1 |
COVID-19 | 1 |
Critical Literacy | 1 |
Digital Literacy | 1 |
Distance Education | 1 |
More ▼ |
Author
A. Brooks Bowden | 1 |
Anika Alam | 1 |
Cohen, Anat | 1 |
Gal, Kobi | 1 |
Hershkovitz, Arnon | 1 |
Jessica Adams-Grigorieff | 1 |
Levy, Ben | 1 |
Segal, Avi | 1 |
Tabach, Michal | 1 |
Publication Type
Reports - Research | 2 |
Dissertations/Theses -… | 1 |
Journal Articles | 1 |
Education Level
Elementary Education | 3 |
Grade 6 | 3 |
Intermediate Grades | 3 |
Middle Schools | 3 |
Junior High Schools | 2 |
Secondary Education | 2 |
Grade 10 | 1 |
Grade 4 | 1 |
Grade 7 | 1 |
Grade 8 | 1 |
Grade 9 | 1 |
More ▼ |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Levy, Ben; Hershkovitz, Arnon; Tabach, Michal; Cohen, Anat; Segal, Avi; Gal, Kobi – IEEE Transactions on Learning Technologies, 2023
This report describes a randomized controlled study that compared the personalization of educational content based on neural networks to personalization by human experts. The study was conducted in a graphically rich online learning environment for elementary school mathematics, in which N = 135 fourth- and sixth-grade students learn via…
Descriptors: Online Courses, Elementary School Students, Grade 4, Grade 6
Jessica Adams-Grigorieff – ProQuest LLC, 2023
With recent advances in generative artificial intelligence, it may come as no surprise that AI influences our society in profound ways. This dissertation project examines how educational and social media platforms and their algorithms shape educational practices and the identity, digital literacies and views of middle school youth participants.…
Descriptors: Digital Literacy, Critical Literacy, Algorithms, Artificial Intelligence
Anika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students