Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
Descriptor
| Computer Software | 1 |
| Decision Making | 1 |
| Electronic Learning | 1 |
| Mathematics Instruction | 1 |
| Models | 1 |
| Outcomes of Education | 1 |
| Prediction | 1 |
| Secondary School Students | 1 |
| Student Motivation | 1 |
| Time on Task | 1 |
| Tutoring | 1 |
| More ▼ | |
Source
| International Educational… | 1 |
Author
| Ashish Gurung | 1 |
| Conrad Borchers | 1 |
| Jionghao Lin | 1 |
| Kenneth R. Koedinger | 1 |
| Ryan S. Baker | 1 |
| Vincent Aleven | 1 |
| Zhongtian Huang | 1 |
Publication Type
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| High Schools | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Ashish Gurung; Jionghao Lin; Zhongtian Huang; Conrad Borchers; Ryan S. Baker; Vincent Aleven; Kenneth R. Koedinger – International Educational Data Mining Society, 2025
Prior work has developed a range of automated measures ("detectors") of student self-regulation and engagement from student log data. These measures have been successfully used to make discoveries about student learning. Here, we extend this line of research to an underexplored aspect of self-regulation: students' decisions about when to…
Descriptors: Decision Making, Computer Software, Tutoring, Electronic Learning

Peer reviewed
