THE CHARACTERISTIC FREQUENCY BANDS ANALYSIS OF BRAIN WAVE DURING LEARNING.
Journal Title: Problems of Education in the 21st Century - Year 2011, Vol 31, Issue 7
Abstract
The traditional E-learning often offers the online examination to assess the learning effect of a student after completion of the online learning. Basically, this traditional learning assessment mechanism is a passive and negative assessment mechanism, which cannot provide an real-time learning warning mechanism for teachers or students to find out problems as early as possible (including such learning conditions as “absence of mind” resulting from poor learning stage or physical or psychological factor), and the post-assessment mechanism also cannot assess the learning effectiveness provided by the online learning system. This research paper attempts to acquire the electroencephalogram to analyze the characteristic frequency band of the brainwave related to learning and formulate the learning energy index (LEI) for the learner at the time when the learner is reasoning logically via the brain-wave detector based on the cognitive neuroscience. With the established LEI, the physical and psychological conditions of an online leaner can be provided instantly for teachers for assessment. Given that the learning system is integrated into the brainwave analytic sensing component, the system not only can provide learners an instant learning warming mechanism, but also help teachers and learning partners to further understand the causes of learning disorder of learners, and can also provide relevant learning members with timely care and encouragement. This research will discuss and analyze such subjects as the electroencephalogram difference between the traditional print textbooks and the multi-medium textbooks, whether the development of exercise habit will be help to learning by means of a view of cognitive neuroscience except for the analysis of characteristic frequency band of the brainwave represented at the time when learners adopt diverse learning methods.
Authors and Affiliations
Kao, F-C, Li, W-D, Hsien, H-C, Wang, C-H
Keywords
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