2020/05/16 by Shiting Xu, Xu, Shiting, Wenbiao Ding +3 · 1 citation
Computer Science · Psychology · #Artificial Intelligence (cs.AI) #Artificial intelligence #Class (philosophy) #Computation and Language (cs.CL) #Computer science #Dialogic #FOS: Computer and information sciences #Mathematics education #Multimedia #Multimodal Machine Learning Applications #Natural language processing #Online learning #Pedagogy #Psychology #Speech and dialogue systems #Topic Modeling #cs.AI #cs.CL
paper · pdf · doi:10.48550/arxiv.2006.01204
published in arXiv (Cornell University) (Cornell University) · The 21th International Conference on Artificial Intelligence in Education(AIED), 2020
arxiv created 2020/05/16 · openalex publication_date 2020/05/16 · arxiv updated 2020/06/03 · openalex created_date 2020/06/12 · openalex updated_date 2026/08/05
Online one-on-one class is created for highly interactive and immersive learning experience. It demands a large number of qualified online instructors. In this work, we develop six dialogic instructions and help teachers achieve the benefits of one-on-one learning paradigm. Moreover, we utilize neural language models, i.e., long short-term memory (LSTM), to detect above six instructions automatically. Experiments demonstrate that the LSTM approach achieves AUC scores from 0.840 to 0.979 among all six types of instructions on our real-world educational dataset.