Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Algorithms | 3 |
Educational Technology | 3 |
Grade 6 | 3 |
Artificial Intelligence | 2 |
Middle School Students | 2 |
Academic Achievement | 1 |
COVID-19 | 1 |
Cluster Grouping | 1 |
Critical Literacy | 1 |
Data Analysis | 1 |
Digital Literacy | 1 |
More ▼ |
Author
Cohen, Anat | 1 |
Gal, Kobi | 1 |
Hershkovitz, Arnon | 1 |
Jessica Adams-Grigorieff | 1 |
Karimov, Ayaz | 1 |
Kärkkäinen, Tommi | 1 |
Levy, Ben | 1 |
Saarela, Mirka | 1 |
Segal, Avi | 1 |
Tabach, Michal | 1 |
Publication Type
Reports - Research | 2 |
Dissertations/Theses -… | 1 |
Journal Articles | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Elementary Education | 3 |
Grade 6 | 3 |
Intermediate Grades | 3 |
Middle Schools | 3 |
Junior High Schools | 2 |
Secondary Education | 2 |
Grade 4 | 1 |
Grade 5 | 1 |
Grade 7 | 1 |
Audience
Location
Azerbaijan | 1 |
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
Karimov, Ayaz; Saarela, Mirka; Kärkkäinen, Tommi – International Educational Data Mining Society, 2023
Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played…
Descriptors: Student Attitudes, Feedback (Response), Educational Games, Information Retrieval