Zhengye Xu

Introduction: Readability formulas are crucial for identifying suitable texts for children's reading development. Traditional formulas, however, are linear models designed for alphabetic languages and struggle with numerous predictors. Purpose: To develop advanced readability formulas for Chinese texts using machine-learning algorithms that can handle hundreds of predictors. It is also the first readability formula developed in Hong Kong. Method: The corpus comprised 723 texts from 72 Chinese language arts textbooks used in public primary schools. The study considered 274 linguistic features at the character, word, syntax, and discourse levels as predictor variables. The outcome variables were the publisher-assigned semester scale and the teacher-rated readability level. Fifteen combinations of linguistic features were trained using Support Vector Machine (SVM) and Random Forest (RF) algorithms. Model performance was evaluated by prediction accuracy and the mean absolute error between predicted and actual readability. For both publisher-assigned and teacher-rated readability, the all-level-feature-RF and character-level-feature-RF models performed the best. The top 10 predictive features of the two optimal models were analyzed. Results: Among the publisher-assigned and subjective readability measures, the all-RF and character-RF models performed the best. The feature importance analyses of these two optimal models highlight the significance of character learning sequences, character frequency, and word frequency in estimating text readability in the Chinese context of Hong Kong. In addition, the findings suggest that publishers might rely on diverse information sources to assign semesters, whereas teachers likely prefer to utilize indices that can be directly derived from the texts themselves to gauge readability levels. Conclusion: The findings highlight the importance of character-level features, particularly the timing of a character's introduction in the textbook, in predicting text readability in the Hong Kong Chinese context.

This study aimed to investigate the moderating effect of morphological awareness on the relationship between word detection skills and reading comprehension in Chinese children with and without dyslexia. The study included 116 Chinese children in third to sixth grades, with 60 children diagnosed with dyslexia and 56 matching typically developing children. ANCOVAs revealed significant group differences in word detection skills and morphological awareness, with children with dyslexia performing significantly worse than their typically developing peers. Partial correlation analyses showed significant correlations between reading comprehension and morphological awareness in typically developing children and between reading comprehension and both word detection skills and morphological awareness in children with dyslexia. Moderation analyses revealed that morphological awareness significantly moderated the relationship between word detection skills and reading comprehension in both groups. For typically developing children, the relationship was significant at higher levels of morphological awareness, while for children with dyslexia, the relationship was significant at lower levels of morphological awareness. The findings suggest that word detection skills may serve as a compensatory mechanism for children with dyslexia when morphological awareness is at lower levels, highlighting the need for targeted interventions and individualised approaches to reading instruction.

In the present study, we aimed to investigate the different impacts of temporal processing on reading by Chinese children with and without dyslexia. In total, 27 children with dyslexia who had a deficit in rapid automatized naming (RAN) (D_R), 37 children with dyslexia who had deficits in both RAN and phonological awareness (PA) (D_RP), and 40 typically developing children (TD) were recruited in Taiwan. The children were asked to complete non‐verbal intelligence, PA, RAN, Chinese character reading tasks and an auditory temporal order judgement (ATOJ) task. Our results of a multiple regression model showed that the ATOJ accounted for unique variances in the reading differences between the children in the D_R and TD groups; performance was controlled for non‐verbal intelligence, PA and RAN tasks. Theoretically, we provide possible explanations for the controversial findings in the field of Chinese children with dyslexia and, practically, suggest different interventions should be provided for children with dyslexia with different underlying impairments.

A rating of body–object interactions (BOIs) reflects the ease with which a human body can interact physically with a word’s referent. Studies with adults have demonstrated a facilitating BOI effect in language tasks, with faster and more accurate responses for high BOI words (e.g., cup) than low BOI words (e.g., coal). A few studies have explored the BOI effect in children. However, these studies have all adopted adult-rated BOIs, which may differ from children’s. Using child-rated BOIs, the present study investigated the BOI effect in Chinese children and its relationship with age, as well as whether there was a community difference in the BOI effect. Children (aged 7–8) from Mainland China (N = 100) and Hong Kong SAR (HK; N = 90) completed a lexical decision task used to measure the BOI effect. The children were asked to judge whether each item was a real Chinese word; each real word was assigned a child-rated BOI score. After controlling nonverbal intelligence, gender, working memory, and Chinese character reading, a significant BOI effect was observed at the response accuracy and speed levels. The accuracy and latency analyses illustrated a community difference; the BOI effect was smaller in the HK children. This study suggests that BOI measures may be sensitive to the ecological differences between tested communities. The findings support the need for further investigations into the BOI effect across Chinese communities, particularly those in Mainland China.

One of the most well-known instructional methods used to enhance Chinese character reading (CCR) is Chinese stem-deriving instruction (CSDI). In this method, CCR is taught via a group of characters (e.g., 清, 情, and 靚) that share the same stem (e.g., 青). However, the effectiveness of CSDI on the CCR of Chinese children with dyslexia remains inconsistent, and the reason may be the diverse designs of this method across studies. Thus, this study aimed to use a quasiexperiment-design study to compare the effects of various forms of CSDI based on the (in)consistency of the extending characters’ sounds, their appearances, and their amount (i.e., how many of them). In total, 122 Chinese third to sixth graders with dyslexia were recruited from primary schools, and they were randomly assigned to one of three groups: (a) visuospatially controlled CSDI ( n = 37; all taught characters shared the same pronunciation), (b) verbally controlled CSDI ( n = 45; all taught characters shared the same structure), and (c) noncontrolled CSDI ( n = 40; all taught characters selected only on the basis of their frequencies). They were tested by CCR and dictation before and after the instruction. We found that CCR was significantly improved in all three CSDI groups, whereas only the verbally controlled CSDI group showed significant improvements in dictation. Furthermore, verbally and visuospatially controlled CSDI earned the greatest benefits in decreasing the visual errors and phonetic errors in CCR and decreasing the radical errors and homophone errors in dictation. Our findings shed light on the effectiveness of CSDI in terms of diverse designs, and frontline practitioners should take our findings into consideration when using CSDI.