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E-book readers have the inherent advantage of affording learners both mobility and convenience. They can be considered ideal pedagogical tools for supporting learners' reading activities. In this study, the reading strategies SQ3R (Survey, Question, Read, Recite and Review) with the guidance mechanism were integrated into the e-book reading environment for assisting learners in their reading processes. An experiment was conducted to evaluate the effects of the reading guidance mechanism on the performance of English reading comprehension. The results show that learners who received reading guidance achieved better reading comprehension than those who didn't. Learners can get real benefits from the reading strategies only when they do carry through the strategies.

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This paper presents a low-power VLSI implementation of a 4-channel independent component analysis (ICA) processor for portable EEG signal processing applications. The low-power scheme employed for this ICA chip is based on power gating and clock gating by utilizing Cadence common power flow (CPF) low-power methodology and also according to the characteristics of ICA training behavior using different training window sizes. The proposed low power ICA processor can separate EEG and mixed EEG-like super-Gaussian signals in real time. The chip can be operated at up to 60MHz working frequency and a maximum sampling rate of 9.394 KHz for EEG signals. The power consumption of this chip is 0.690 mW during training under the condition of 0.9V supply voltage and 10 MHz operating frequency using UMC 90nm High-Vt CMOS technology. The total chip area is 1230 x 1230 2 m μ .I.