Michelle Vu
Biographic Data
| ID | 5121923 |
|---|---|
| NAME | Michelle Vu |
| GIVEN NAMES | Michelle |
| FAMILY NAME | Vu |
| SIGNATURE | VU M |
| AFFILIATIONS | Children's Hospital of Los Angeles |
| ORCID | 0000-0002-2759-1221 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Remote Infant Studies of Early Learning (Rise)
The current article describes the Remote Infant Studies of Early Learning, a battery intended to provide robust looking time measures of cognitive development that can be administered remotely to inform our understanding of individual developmental trajectories in typical and atypical populations, particularly infant siblings of autistic children. This battery was developed to inform our understanding of early cognitive and language development i…
Using machine learning techniques to investigate learner engagement with TikTok media literacy campaigns
Social media has the unique capacity to expose many learners to media literacy instruction via targeted campaigns. Investigating learner engagement and reaction to these efforts may be a fruitful endeavor for researchers that can inform the design of future campaigns. However, the massive datasets associated with social media posts are difficult, and often impossible, to analyze with traditional qualitative methods. This study seeks to address th…
No prominent works on this page.
Using machine learning techniques to investigate learner engagement with TikTok media literacy campaigns
Social media has the unique capacity to expose many learners to media literacy instruction via targeted campaigns. Investigating learner engagement and reaction to these efforts may be a fruitful endeavor for researchers that can inform the design of future campaigns. However, the massive datasets associated with social media posts are difficult, and often impossible, to analyze with traditional qualitative methods. This study seeks to address th…
Remote Infant Studies of Early Learning (Rise)
The current article describes the Remote Infant Studies of Early Learning, a battery intended to provide robust looking time measures of cognitive development that can be administered remotely to inform our understanding of individual developmental trajectories in typical and atypical populations, particularly infant siblings of autistic children. This battery was developed to inform our understanding of early cognitive and language development i…
Computer Science (2 works) · Child and Animal Learning Development (1 works) · Child development (1 works) · Child Development and Digital Technology (1 works) · Cognition (1 works) · Cognitive development (1 works) · Data science (1 works) · Developmental psychology (1 works) · Impact of Technology on Adolescents (1 works) · Infant development (1 works)