  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.

Computation and Language;Artificial Intelligence