Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 1 |
Descriptor
Access to Information | 1 |
College Students | 1 |
Computer Science | 1 |
Cues | 1 |
Data Collection | 1 |
Educational Technology | 1 |
Foreign Countries | 1 |
Graphs | 1 |
Inferences | 1 |
Intelligent Tutoring Systems | 1 |
Prediction | 1 |
More ▼ |
Source
Journal of Educational Data… | 1 |
Author
Barnes, Tiffany | 1 |
Gross, Sebastian | 1 |
Hammer, Barbara | 1 |
Paassen, Benjamin | 1 |
Pinkwart, Niels | 1 |
Price, Thomas William | 1 |
Publication Type
Journal Articles | 1 |
Reports - Research | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Germany | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Paassen, Benjamin; Hammer, Barbara; Price, Thomas William; Barnes, Tiffany; Gross, Sebastian; Pinkwart, Niels – Journal of Educational Data Mining, 2018
Intelligent tutoring systems can support students in solving multi-step tasks by providing hints regarding what to do next. However, engineering such next-step hints manually or via an expert model becomes infeasible if the space of possible states is too large. Therefore, several approaches have emerged to infer next-step hints automatically,…
Descriptors: Intelligent Tutoring Systems, Cues, Educational Technology, Technology Uses in Education