Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 3 |
Descriptor
Source
Journal of Learning Analytics | 3 |
Author
Amy Ogan | 1 |
Baron, Joshua D. | 1 |
Chris Harrison | 1 |
Heru Zhao | 1 |
Jayaprakash, Sandeep M. | 1 |
John Zimmerman | 1 |
Lauría, Eitel J. M. | 1 |
Moody, Erik W. | 1 |
Neeharika Vogety | 1 |
Nikhil Behari | 1 |
Prasoon Patidar | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Evaluative | 2 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Two Year Colleges | 1 |
Audience
Location
California | 1 |
Georgia | 1 |
New York | 1 |
North Carolina | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Xavier Ochoa; Heru Zhao – Journal of Learning Analytics, 2024
Providing automated feedback that facilitates the practice and acquisition of oral presentation skills has been one of the notable applications of multimodal learning analytics (MmLA). However, the closedness and general unavailability of existing systems have reduced their potential impact and benefits. This work introduces OpenOPAF, an…
Descriptors: Open Source Technology, Multimedia Materials, Automation, Feedback (Response)
Prasoon Patidar; Tricia J. Ngoon; Neeharika Vogety; Nikhil Behari; Chris Harrison; John Zimmerman; Amy Ogan; Yuvraj Agarwal – Journal of Learning Analytics, 2024
Classroom sensing systems can capture data on teacher-student behaviours and interactions at a scale far greater than human observers can. These data, translated to multi-modal analytics, can provide meaningful insights to educational stakeholders. However, complex data can be difficult to make sense of. In addition, analyses done on these data…
Descriptors: Learning Analytics, Classroom Observation Techniques, Data Analysis, Student Behavior
Jayaprakash, Sandeep M.; Moody, Erik W.; Lauría, Eitel J. M.; Regan, James R.; Baron, Joshua D. – Journal of Learning Analytics, 2014
The Open Academic Analytics Initiative (OAAI) is a collaborative, multi-year grant program aimed at researching issues related to the scaling up of learning analytics technologies and solutions across all of higher education. The paper describes the goals and objectives of the OAAI, depicts the process and challenges of collecting, organizing and…
Descriptors: At Risk Students, College Students, Open Source Technology, Data Analysis