Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Affective Behavior | 1 |
| Artificial Intelligence | 1 |
| Astronomy | 1 |
| College Students | 1 |
| Computer Simulation | 1 |
| Cooperative Learning | 1 |
| Group Activities | 1 |
| Human Body | 1 |
| Learning Analytics | 1 |
| Photography | 1 |
| Science Instruction | 1 |
| More ▼ | |
Source
| International Educational… | 1 |
Publication Type
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Robin Jephthah Rajarathinam; Chris Palaguachi; Jina Kang – International Educational Data Mining Society, 2024
Multimodal Learning Analytics (MMLA) has emerged as a powerful approach within the computer-supported collaborative learning community, offering nuanced insights into learning processes through diverse data sources. Despite its potential, the prevalent reliance on traditional instruments such as tripod-mounted digital cameras for video capture…
Descriptors: Learning Analytics, Cooperative Learning, Photography, Video Technology

Peer reviewed
