The contributions of six important reading-related skills (phonological awareness, rapid naming, orthographic skills, morphological awareness, listening comprehension, and syntactic skills) to Chinese word and text reading were examined among 290 Chinese first graders in Hong Kong. Rapid naming, but not phonological awareness, was a significant predictor of Chinese word reading and writing to dictation (i.e., spelling) in the context of orthographic skills and morphological awareness. Commonality analyses suggested that orthographic skills and morphological awareness each contributed significant amount of unique variance to Chinese word reading Correspondence should be sent to

The present study examined the role of syntactic skills for reading comprehension in Chinese. Two hundred and seventy-two Chinese children were tested on their phonological processing, orthographic, morphological, syntactic, and literacy skills at Grades 1 and 2. Hierarchical multiple regression results showed that syntactic skills, in terms of word order, connective usage, and knowledge of morphosyntactic structure (measured by an oral cloze task) in Grade 1, significantly predicted sentence reading comprehension in Grade 2 after controlling for the children's age, IQ, and word level reading-related cognitive skills in Grade 1, and word reading in Grade 2. As in alphabetic languages, syntactic skills are essential for reading comprehension in Chinese. The unique roles of individual syntactic skills for understanding sentences in Chinese are discussed.

We discuss the new challenges and directions facing the use of big data and artificial intelligence (AI) in education research, policy-making, and industry. In recent years, applications of big data and AI in education have made significant headways. This highlights a novel trend in leading-edge educational research. The convenience and embeddedness of data collection within educational technologies, paired with computational techniques have made the analyses of big data a reality. We are moving beyond proof-of-concept demonstrations and applications of techniques, and are beginning to see substantial adoption in many areas of education. The key research trends in the domains of big data and AI are associated with assessment, individualized learning, and precision education. Model-driven data analytics approaches will grow quickly to guide the development, interpretation, and validation of the algorithms. However, conclusions from educational analytics should, of course, be applied with caution. At the education policy level, the government should be devoted to supporting lifelong learning, offering teacher education programs, and protecting personal data. With regard to the education industry, reciprocal and mutually beneficial relationships should be developed in order to enhance academia-industry collaboration. Furthermore, it is important to make sure that technologies are guided by relevant theoretical frameworks and are empirically tested. Lastly, in this paper we advocate an in-depth dialog between supporters of "cold" technology and "warm" humanity so that it can lead to greater understanding among teachers and students about how technology, and specifically, the big data explosion and AI revolution can bring new opportunities (and challenges) that can be best leveraged for pedagogical practices and learning.

This study investigated subtypes of developmental dyslexia in Chinese by assessing three cases of Chinese dyslexic children. A battery of screening measures, a character naming and meaning task, and metalinguistic awareness tasks were administered to each child. One of the three children demonstrated characteristics of developmental surface dyslexia, and the other two showed characteristics of developmental deep dyslexia. Moreover, the children's reading problems were found to be specifically related to their deficits in metalinguistic awareness. The dissociation between developmental surface and deep dyslexia provides support to Weekes et al.'s (Neurocase 1997; 3: 51-60) model that a semantic and a nonsemantic pathway exist independently in Chinese reading. The results also suggest that deficits in morphological and phonological awareness may cause developmental delays in the semantic and the nonsemantic pathway.

The present study aimed at identifying core components of reading instruction in Chinese within the framework of the tiered intervention model. A curriculum with four teaching components of cognitive-linguistic skills was implemented in a Program school for three years since Grade 1. The findings showed that the Tier 1 intervention was effective in enhancing the literacy and cognitive-linguistic skills of children in the Program school. The positive effects were maintained at the end of Grade 2. Progress in both word-level and text-level cognitive-linguistic skills predicted significantly progress in reading comprehension. Based on the present findings, the four core reading components in Chinese were proposedoral language, morphological awareness, orthographic skills, and syntactic skills. Comparing the Big Five in English and the four core components in Chinese reflects different cognitive demands for reading diverse orthographies.

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Promoting understanding of the epistemologies of science has long been the primary objective in science education, and can be viewed as a form of science learning outcome.Many studies have attempted to understand learners' conceptions of epistemology in science from various perspectives and methods; however, no recent reviews have focused on the measurement of various constructs and variables of epistemologies of science. The main purpose of this review study is to understand how these epistemologies in science teaching and learning were measured, and to provide an overview of recent developments with respect to the measurement issue in the epistemology of science. We searched for articles that were published between 2010 and 2019 and retained 225 eligible studies passing all review criteria for inclusion in this review. Major constructs of epistemologies of science emerging from the studies include epistemic beliefs and views, nature of science, epistemic

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