Analysis of Brainwave Characteristic Frequency Bands for Logic Reasoning

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 bands of the brainwave related to learning and formulate the learning energy for the learner at the time when the learner is reasoning logically via the proposed brain-wave detector based on the cognitive neuroscience. With the analysis of characteristic frequency bands, 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 proposed 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.

• Periodical: Applied Mechanics and Materials (Volume 145)
• Pages: 470-474
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.145.470
• Online since: December 2011
• Authors: Fu Chien Kao, Jian Hao Jhong, Chih Hong Wang
• Keywords: Brain-Wave Detector, Cognitive Neuroscience, Electroencephalography (EEG)

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