Whereas cognitive and linguistic factors for learning to read have been extensively studied, less is known about affective factors including children’s attitudes toward reading. Studies primarily from English-speaking and Western countries show gradual declines in reading attitudes in elementary school (McKenna et al., Reading Research Quarterly 30:626–639, 1995) and a positive association between reading attitudes and achievement (Petscher, Journal of Research in Reading 33:335–355, 2010). Children from Asian and African countries are underrepresented in this literature; whether these patterns can be generalized across cultures needs further investigation. This longitudinal study examined the reading attitudes of 84 children in Vietnam from grades 1 to 2 and their relations to reading performance, as measured by translated and adapted versions of the Elementary Reading Attitude Survey and Early Grade Reading Assessment, respectively. This sample from Vietnam showed a small decline in reading attitudes over time, particularly in attitudes toward academic reading. However, children on average reported feeling happy about reading in both grades. Correlations revealed different patterns of association between reading attitudes and performance based on the reading measure employed, grade level, and type of reading in question (academic versus recreational). In grade 2, reading attitudes explained unique variance in reading comprehension even after text fluency and mother’s education were considered. We present a margins plot to visualize the role of reading attitudes on reading comprehension. We discuss educational implications and future directions.
An improvement on the transient response of tracking for the sampled-data system based on an improved PD-type iterative learning control (ILC) is proposed in this paper. The developed analog ILC method and the high-gain property tracker design methodology are first combined to significantly reduce learning epochs and overcome the initial condition shift problem and discontinuous reference input in the traditional ILC. Besides, the proposed ILC improves the transient response and decreases the rate of weighting matrices Q to R under the traditional linear quadratic tracker design. First, the off-line observer/Kalman filter identification (OKID) is used to determine the appropriate (low-) order system parameters and state estimator for the physical system with unknown system equation, so that the model-based PD-type ILC can be implemented for practical applications. Then, to improve the transient response and decrease the control effort, the proportional difference type (PD-type) ILC algorithm is combined with the high-gain property linear quadratic tracker (LQT) design to construct the high performance tracker for the model-based sampled-data systems. Furthermore, the discrete-time version high performance tracker design for the unknown stochastic sampled-data system via the iterative learning control method is proposed in this paper based on the Euler method and the digital redesign approach. Finally, some examples are given for illustrating the effectiveness of the proposed method. 相似文献