A Review of Automatic Detection of Learner States in Four Typical Learning Scenarios

Abstract

Artificial intelligence technology has already been applied in the education scene, and the automatic detecting technology of learning state has attracted the attention of many researchers. This paper summarizes the main types of learning state that researchers pay attention to at present, including affect, engagement, attention, and cognitive load. Based on four typical learning scenarios: computer-based learning, mobile learning, traditional classroom-based learning, and individual computer-free learning, this paper discusses the shortcomings and development trends of detecting hardware and methods used in this field, and the social problems in obtaining a large amount of personal privacy data.