Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 2 |
Descriptor
| Affective Behavior | 2 |
| Cognitive Processes | 2 |
| Data Collection | 2 |
| Learning Analytics | 2 |
| Video Technology | 2 |
| College Faculty | 1 |
| College Students | 1 |
| Design | 1 |
| Educational Games | 1 |
| Educational Technology | 1 |
| Feedback (Response) | 1 |
| More ▼ | |
Source
| Journal of Learning Analytics | 2 |
Author
| Chavan, Pankaj | 1 |
| Dahlstrom-Hakki, Ibrahim | 1 |
| Ke, Fengfeng | 1 |
| Mitra, Ritayan | 1 |
| Moon, Jewoong | 1 |
| Sokolikj, Zlatko | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textMoon, Jewoong; Ke, Fengfeng; Sokolikj, Zlatko; Dahlstrom-Hakki, Ibrahim – Journal of Learning Analytics, 2022
Using multimodal data fusion techniques, we built and tested prediction models to track middle-school student distress states during educational gameplay. We collected and analyzed 1,145 data instances, sampled from a total of 31 middle-school students' audio- and video-recorded gameplay sessions. We conducted data wrangling with student gameplay…
Descriptors: Learning Analytics, Stress Variables, Educational Games, Middle School Students
Chavan, Pankaj; Mitra, Ritayan – Journal of Learning Analytics, 2022
The use of online video lectures in universities, primarily for content delivery and learning, is on the rise. Instructors' ability to recognize and understand student learning experiences with online video lectures, identify particularly difficult or disengaging content and thereby assess overall lecture quality can inform their instructional…
Descriptors: Learning Analytics, Video Technology, Lecture Method, Online Courses
