Browsing by Author "Lin, Tzu-Jung"
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Item type:Item, Argumentation and knowledge inquiry(2008-06-01) ;Horng, Ruey-Yun ;Lin, Tzu-Jung ;工業工程與管理學系Department of Industrial Engineering and ManagementItem type:Item, Effects of Argument Scaffolding and Source Credibility on Science Text Comprehension(2014-04-03) ;Lin, Tzu-Jung ;Horng, Ruey-Yun ;Anderson, Richard C. ;交大名義發表National Chiao Tung UniversityThis study investigated the effects of argument scaffolding and source credibility on science text comprehension. Eighty-seven college students were randomly assigned to an argument scaffolding activity, or no scaffolding, and read 2 science texts, attributed to a high- or a low-credibility source. The argument-scaffolding group recalled less text-based information but generated more knowledge-based inferences than did the no-scaffolding group. High source credibility enhanced readers' text-based recall but had little effect on knowledge-based inferences or situation models. Overall, results suggest that argumentation facilitates deeper text comprehension and better argument understanding, while at the same time reducing the effect of source credibility on text processing.Item type:Item, Stabilized linear model for neuromagnetic source localization(2007) ;Chen, Yong-Sheng ;Cheng, Chih-Yu ;Lin, Tzu-Jung ;Hsieh, Jen-ChuenChen, Li-FenIn MEG studies, head movement during data recording often causes problems in event-related averaging as well as source localization accuracy. We propose in this work a stabilized linear model which can solve this head movement problem by conceptually increasing the sensor number, under the condition that the head movement is known. This method is particularly beneficial for MEG studies in which head movement commonly Occurs, such as those studies requiring long experimental duration or those when patients/children are involved. Phantom studies and studies of somatosensory evoked field clearly show the effectiveness and accuracy of the proposed method.