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
| Chemistry | 1 |
| Data Analysis | 1 |
| Data Processing | 1 |
| High School Students | 1 |
| Intelligent Tutoring Systems | 1 |
| Learning | 1 |
| Longitudinal Studies | 1 |
| Mixed Methods Research | 1 |
| Secondary School Science | 1 |
| Student Development | 1 |
Source
| Journal of Learning Analytics | 1 |
Author
| Davenport, Jodi | 1 |
| Liu, Ran | 1 |
| Stamper, John | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Secondary Education | 1 |
Audience
Location
| Pennsylvania (Pittsburgh) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textLiu, Ran; Stamper, John; Davenport, Jodi – Journal of Learning Analytics, 2018
Temporal analyses are critical to understanding learning processes, yet understudied in education research. Data from different sources are often collected at different grain sizes, which are difficult to integrate. Making sense of data at many levels of analysis, including the most detailed levels, is highly time-consuming. In this paper, we…
Descriptors: Intelligent Tutoring Systems, Learning, Data Analysis, Student Development
