5 citations · 7 across the 7 of their papers we have counts for
8 papers
CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations
Hang Li, Yu Kang, Tianqiao Liu +2
Existing audio-language task-specific predictive approaches focus on building complicated late-fusion mechanisms. However, these models are facing challenges of overfitting with li…
A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation
Hang Li, Yu Kang, Yang Hao +3
The quality of vocal delivery is one of the key indicators for evaluating teacher enthusiasm, which has been widely accepted to be connected to the overall course qualities. Howeve…
An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms
Jiahao Chen, Hang Li, Wenbiao Ding +1
In this paper, we propose a simple yet effective solution to build practical teacher recommender systems for online one-on-one classes. Our system consists of (1) a pseudo matching…
Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models
Yang Hao, Hang Li, Wenbiao Ding +4
In this work, we study computational approaches to detect online dialogic instructions, which are widely used to help students understand learning materials, and build effective st…
Siamese Neural Networks for Class Activity Detection
Hang Li, Zhiwei Wang, Jiliang Tang +2
Classroom activity detection (CAD) aims at accurately recognizing speaker roles (either teacher or student) in classrooms. A CAD solution helps teachers get instant feedback on the…
Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach
Hang Li, Wenbiao Ding, Zitao Liu
With the rapid emergence of K-12 online learning platforms, a new era of education has been opened up. It is crucial to have a dropout warning framework to preemptively identify K-…