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 |
Artificial Intelligence | 6 |
Elementary School Students | 6 |
Computation | 3 |
Foreign Countries | 3 |
Chinese | 2 |
Computer Uses in Education | 2 |
Models | 2 |
Predictor Variables | 2 |
Thinking Skills | 2 |
Abstract Reasoning | 1 |
More ▼ |
Source
Interactive Learning… | 2 |
Scientific Studies of Reading | 2 |
IEEE Transactions on Learning… | 1 |
Research in Science Education | 1 |
Author
Cohen, Anat | 1 |
Gal, Kobi | 1 |
Haudek, Kevin C. | 1 |
Heng-Yu Ku | 1 |
Hershkovitz, Arnon | 1 |
Hong Li | 1 |
Levy, Ben | 1 |
Liu, Hey Wing | 1 |
Ma, Wenchao | 1 |
Man Kit Lee, Stephen | 1 |
Miaomiao Liu | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Research | 6 |
Education Level
Elementary Education | 6 |
Middle Schools | 2 |
Early Childhood Education | 1 |
Grade 1 | 1 |
Grade 4 | 1 |
Grade 6 | 1 |
Intermediate Grades | 1 |
Junior High Schools | 1 |
Primary Education | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Man Kit Lee, Stephen; Liu, Hey Wing; Tong, Shelley Xiuli – Scientific Studies of Reading, 2023
Purpose: Dyslexia is characterized by its diverse causes and heterogeneous manifestations. Chinese children with dyslexia exhibit orthographic, phonological, and semantic deficits across character and radical levels when writing. However, whether character dictation can be used to distinguish children with dyslexia from their typically developing…
Descriptors: Foreign Countries, Dyslexia, Disability Identification, Artificial Intelligence
Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
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
Noawanit Songkram; Supattraporn Upapong; Heng-Yu Ku; Narongpon Aulpaijidkul; Sarun Chattunyakit; Nutthakorn Songkram – Interactive Learning Environments, 2024
This research proposes the integration of robotic education and scenario-based learning (SBL) paradigm for teaching computational thinking (CT) to enhance the computational abilities of primary school students, based on digital innovation and a teaching assistant robot acceptance model. The sample group consisted of 532 primary school teachers and…
Descriptors: Foreign Countries, Elementary School Students, Elementary School Teachers, Grade 1
Zhai, Xiaoming; Haudek, Kevin C.; Ma, Wenchao – Research in Science Education, 2023
In this study, we developed machine learning algorithms to automatically score students' written arguments and then applied the cognitive diagnostic modeling (CDM) approach to examine students' cognitive patterns of scientific argumentation. We abstracted three types of skills (i.e., attributes) critical for successful argumentation practice:…
Descriptors: Persuasive Discourse, Artificial Intelligence, Cognitive Measurement, Diagnostic Tests
Miaomiao Liu; Yixun Li; Yongqiang Su; Hong Li – Scientific Studies of Reading, 2024
Purpose: This study sought to 1) identify linguistic features important for Chinese text complexity with a theory-based and systematic approach, and 2) address how feature sets and algorithms affect the performance of Chinese text complexity models. Method: Texts from Chinese language arts textbooks from Grades 1 to 6 (N = 1,478) in Mainland China…
Descriptors: Difficulty Level, Textbooks, Algorithms, Artificial Intelligence