作者: Chih-Ming Chen , Jung-Ying Wang
DOI: 10.1080/10494820.2017.1341938
关键词:
摘要: ABSTRACTMany studies have shown that learners’ sustained attention strongly affects e-learning performance, particularly during online synchronous instruction. This work thus develops a novel monitoring and alarm mechanism (AMAM) based on brainwave signals to improve learning performance via the state of individual learners helping instructors or teaching assistants levels with low-attention states as they perform instruction activities. Totally, 83 65 Grade 7 students were randomly assigned experimental control groups respectively underwent without AMAM support. Analytical results reveal group exhibited significantly better than those in group, verifying efficiently promotes learners. ...