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Lars Willnat W. Joann Wong Ezhar Tamam Annette Aw 《Mass Communication and Society》2013,16(4):557-585
This study is based on a survey of 526 adult Malaysians who were interviewed shortly before the 2008 national election about online media use, levels of political participation, and voting intentions. The goal was to document the role of online media in a society that controls political information in traditional media and, in turn, compels citizens to seek alternative news sources online. As predicted, the findings indicated that online media use was positively associated with higher levels of political participation among Malaysian voters. The use of and exposure to social networking sites, political blogs, political online videos, party websites, and political ads on cell phones showed strong associations with political activism. However, the use of political online media did not predict voters’ likelihood of voting. 相似文献
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Lung-Hsiang Wong Ching Sing Chai Guat Poh Aw Ronnel B. King 《Interactive Learning Environments》2015,23(2):130-157
This paper reports a design-based research (DBR) cycle of MyCLOUD (My Chinese ubiquitOUs learning Days). MyCLOUD is a seamless language learning model that addresses identified limitations of conventional Chinese language teaching, such as the decontextualized and unauthentic learning processes that usually hinder reflection and deep learning. MyCLOUD focuses on developing new learning practices among students who traverse the in-school and out-of-school learning spaces, in the hope of bridging the formal and informal aspects of language learning. This paper focuses on two stages of DBR across 13 months and traces students’ artifact creations and social interactions facilitated by the design and re-design of the learning environment. The findings indicate that the students’ participation rates and the qualities of their artifacts and online interactions were significantly improved towards the second stage of the intervention. The key implication from the DBR cycle is that the teachers need to plan and enact enculturation activities to systematically promote the motivation and qualities of artifact creations and online interactions. “Facets” of artifact creation and online interaction skills are distilled to guide the enculturation design as a result. 相似文献
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Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This paper proposes to use the convolution kernel over parse trees together with support vector machines to model syntactic structured information for relation extraction. Compared with linear kernels, tree kernels can effectively explore implicitly huge syntactic structured features embedded in a parse tree. Our study reveals that the syntactic structured features embedded in a parse tree are very effective in relation extraction and can be well captured by the convolution tree kernel. Evaluation on the ACE benchmark corpora shows that using the convolution tree kernel only can achieve comparable performance with previous best-reported feature-based methods. It also shows that our method significantly outperforms previous two dependency tree kernels for relation extraction. Moreover, this paper proposes a composite kernel for relation extraction by combining the convolution tree kernel with a simple linear kernel. Our study reveals that the composite kernel can effectively capture both flat and structured features without extensive feature engineering, and easily scale to include more features. Evaluation on the ACE benchmark corpora shows that the composite kernel outperforms previous best-reported methods in relation extraction. 相似文献
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