A Study of Human-Computer Interaction Technology to Evaluate the Quality of Education in an Online Secondary School Physics Course

Zhaohui Liu
Department of Physics, Lanzhou City University, Lanzhou 730070, Gansu Province, China
Yunyun Ma
Department of Physics, Lanzhou City University, Lanzhou 730070, Gansu Province, China

Abstract:

Along with the rise of online learning, how to change the learning and teaching links by examining the teaching quality of online courses has turned into a major topic in the direction of online learning research, research on the use of interactive communication technology in the applied education industry, expanding the content and presentation of the course, enhancing the channels of dissemination of specialized knowledge, and teaching methods and methods of teaching and learning continue to innovate, and put forward a higher demand for learning the subjectivity of learning. Interaction in the network distance learning activities for the development of great convenience and profound changes in the premise, but also help to add a serious test for the quality of education and teaching. Network teaching activities actively and proactively integrated into the period of change, create a secondary school physics network course teaching quality evaluation system, summarize the basic concept of network learning state measurement indicators, including network learning state data information, physiological signal data information, machine vision data information, multimodal data analysis, Delphi technology and so on. The essential characteristics and distribution characteristics of students' concentration spending in different learning states We applied the LSTM-RNN method to improve the recurrent neural network, and established the learning completion rate analysis model, in order to provide theoretical sources and methodological references for the scientific research on the evaluation of network learning quality.