The influence of integrating text structure and content area guidance during reading Classical Chinese

The influence of integrating text structure and content area guidance during reading Classical Chinese

First Author: ChiaHsing Chen -- National Tsing Hua University
Additional authors/chairs: 
Minglei Chen
Keywords: Reading comprehension, Text structure, Eye movements
Abstract / Summary: 

Previous researches have shown the importance of text structure in reading comprehension. The purpose of this study is to examine how these cues affect the reading performance on the highly challenging semantics and syntaxes reading material – classical Chinese (CC) text. We compared readers’ comprehension performance of causal inference, elaboration inference, and gist inference and the global eye movement data between neutral group and introduction guided group during reading classical Chinese texts and their corresponding vernacular translations (VT). In general, the mastery of causal inference is better than the other two types of inference, and we found that the consistent pattern for CC and VT in neutral group. The comprehension accuracy of elaboration and gist inference was lower than causal inference (b = -1.47, se = 0.44, z = -3.36, p < 0.01; b = -1.24, se = 0.44, z = -2.84, p < 0.01). The results also showed that there were improvements on elaboration and gist inference compared to causal inference for guided group than neutral group. There was no significant different among of causal, elaboration, and gist inferences reading CC and VT (all ps > 0.05). There was only genre effect in reading speed and global word-based eye movement duration measures (all ps < 0.05). These results suggested that the introduction of text structure and content area guidance can help readers to engage in the higher-level inferences. Further investigation on the inference-relevant areas is needed.