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 |
Task Analysis | 3 |
Classification | 2 |
Computer Software | 2 |
Prediction | 2 |
Automation | 1 |
Barriers | 1 |
Behavior Patterns | 1 |
Case Studies | 1 |
Cognitive Structures | 1 |
More ▼ |
Author
Arthur Bakker | 1 |
Dai, Yiling | 1 |
Enrique Garcia Moreno-Esteva | 1 |
Flanagan, Brendan | 1 |
Jennifer Hu | 1 |
Lonneke Boels | 1 |
Nakamoto, Ryosuke | 1 |
Ogata, Hiroaki | 1 |
Paul Drijvers | 1 |
Takami, Kyosuke | 1 |
Yamauchi, Taisei | 1 |
More ▼ |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Dissertations/Theses -… | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Yamauchi, Taisei; Flanagan, Brendan; Nakamoto, Ryosuke; Dai, Yiling; Takami, Kyosuke; Ogata, Hiroaki – Smart Learning Environments, 2023
In recent years, smart learning environments have become central to modern education and support students and instructors through tools based on prediction and recommendation models. These methods often use learning material metadata, such as the knowledge contained in an exercise which is usually labeled by domain experts and is costly and…
Descriptors: Mathematics Instruction, Classification, Algorithms, Barriers
Lonneke Boels; Enrique Garcia Moreno-Esteva; Arthur Bakker; Paul Drijvers – International Journal of Artificial Intelligence in Education, 2024
As a first step toward automatic feedback based on students' strategies for solving histogram tasks we investigated how strategy recognition can be automated based on students' gazes. A previous study showed how students' task-specific strategies can be inferred from their gazes. The research question addressed in the present article is how data…
Descriptors: Eye Movements, Learning Strategies, Problem Solving, Automation
Jennifer Hu – ProQuest LLC, 2023
Language is one of the hallmarks of intelligence, demanding explanation in a theory of human cognition. However, language presents unique practical challenges for quantitative empirical research, making many linguistic theories difficult to test at naturalistic scales. Artificial neural network language models (LMs) provide a new tool for studying…
Descriptors: Linguistic Theory, Computational Linguistics, Models, Language Research