Publication Date
In 2025 | 0 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 6 |
Descriptor
Algorithms | 6 |
Educational Technology | 6 |
Middle School Students | 4 |
Artificial Intelligence | 3 |
Grade 6 | 3 |
Foreign Countries | 2 |
Academic Achievement | 1 |
Art Materials | 1 |
Automation | 1 |
COVID-19 | 1 |
Cluster Grouping | 1 |
More ▼ |
Source
Educational Measurement:… | 1 |
IEEE Transactions on Learning… | 1 |
International Educational… | 1 |
International Journal of… | 1 |
International Journal of… | 1 |
ProQuest LLC | 1 |
Author
Anna Keune | 1 |
Ayfer Sayin | 1 |
Chengbo Zhang | 1 |
Cohen, Anat | 1 |
Gal, Kobi | 1 |
Hershkovitz, Arnon | 1 |
Jessica Adams-Grigorieff | 1 |
Karimov, Ayaz | 1 |
Kärkkäinen, Tommi | 1 |
Levy, Ben | 1 |
Mark Gierl | 1 |
More ▼ |
Publication Type
Reports - Research | 5 |
Journal Articles | 4 |
Dissertations/Theses -… | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Middle Schools | 6 |
Junior High Schools | 5 |
Secondary Education | 5 |
Elementary Education | 4 |
Grade 6 | 3 |
Intermediate Grades | 3 |
Grade 4 | 1 |
Grade 5 | 1 |
Grade 7 | 1 |
Grade 8 | 1 |
Audience
Location
Azerbaijan | 1 |
China | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Ayfer Sayin; Mark Gierl – Educational Measurement: Issues and Practice, 2024
The purpose of this study is to introduce and evaluate a method for generating reading comprehension items using template-based automatic item generation. To begin, we describe a new model for generating reading comprehension items called the text analysis cognitive model assessing inferential skills across different reading passages. Next, the…
Descriptors: Algorithms, Reading Comprehension, Item Analysis, Man Machine Systems
Anna Keune – International Journal of Computer-Supported Collaborative Learning, 2024
A key commitment of computer-supported collaborative learning research is to study how people learn in collaborative settings to guide development of methods for capture and design for learning. Computer-supported collaborative learning research has a tradition of studying how the physical world plays a part in collaborative learning. Within the…
Descriptors: Design Crafts, Visual Arts, Algorithms, Cooperation
Yaohua Huang; Chengbo Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2024
This study combines link grammar (LG) detector with N-grammar model to analyze and evaluate grammar in compositions. And then the composition level is judged through information entropy. Finally, the composition score is calculated based on the overall composition level and grammar weight. The experimental results show that the combined weight of…
Descriptors: Grammar, Student Evaluation, Artificial Intelligence, Writing (Composition)
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