Predicting Behavior Change in Students With Special Education Needs Using Multimodal Learning Analytics
Author:
Affiliation:
1. Centre for Perceptual and Interactive Intelligence, The Chinese University of Hong Kong, Hong Kong, SAR
2. Department of Special Education and Counseling, The Education University of Hong Kong, Hong Kong, SAR
Funder
Centre for Perceptual and Interactive Intelligence (CPII) Ltd., under the Innovation and Technology Commission (ITC)’s InnoHK
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10159389.pdf?arnumber=10159389
Reference43 articles.
1. Conducive Attributes of Physical Learning Environment at Preschool Level for Slow Learners
2. Mastery Criteria and Maintenance: a Descriptive Analysis of Applied Research Procedures
3. Indoor environmental quality of classrooms and occupants' comfort in a special education school in Slovak Republic
4. Internet of Things (IoT)-Enhanced Applied Behavior Analysis (ABA) for Special Education Needs
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