Interactive learning in pre-university mathematics
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With the proliferation of new technologies such as social media, microblogs, online references, multimedia, and interactive teaching tools, the learning environment has changed drastically in the past several years. However, some- times too many aids may detract from the learning outcomes and performance. This paper summarizes research on the effect of interactive tools on student learning, and describes our experiences teaching mathematics for pre-university students in a new design-centric university established in collaboration with MIT. We have adopted a unique classroom setting with different pedagogical techniques, and described the educational impact of student learning preferences and interactive learning tools. The impact of this study can provide guidelines on how interactive learning can be integrated in small classes.Keywords:
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Microblogs are popular online services on Internet. Many popular microblogging services have been empirically investigated. This paper attempts to seek unique characteristics of a peculiar microblogging service: Yiban Microblog. It is limited to college students and staffs with inherent verified accounts. We conduct an almost exhaustive measurement on the Yiban microblogging service. Unexpectedly, these college students are empirically found to seldom login into Yiban Microblog, reluctantly to post microblogs, and to follow few other users. Such observations imply that Yiban Microblog is fading continuously although many thousands of new college students are invited to participate the Yiban Microblogging service every year.
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Microblogging websites such as Twitter and Chinese Sina Weibo contain large amounts of microblogs posted by users. Many of these microblogs are highly sensitive to the important real-world events and correlated to the news events. Thus, microblogs from these websites can be collected as comments for the news to reveal the opinions and attitude towards the news event among large number of users. In this paper, we present a framework to automatically collect relevant microblogs from microblogging websites to generate comments for popular news on news websites.
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Analyzing and researching microblog text and microblog context, we propose a Chinese microblog's semantic expansion model based on specific context. Firstly, on the basis of analysis of microblog type, microblogs are classified into six categories: information-publish microblogs, journaling microblogs, sharing microblogs, forwarding microblogs, commentary microblogs and interactive microblogs. For information-publish microblogs, we propose a Chinese microblog's semantic expansion model based on specific context. Select forwarding comment as specific context. Microblog's effective forwarding information is added to microblog text for supplementing the microblog's semantics and improving the problem of data sparseness. The results of microblog classification performance evaluation show that the model enhances the microblog classification performance.
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With the rapid growth of social media websites, microblogging has become a popular way to spread instant news and events. Due to the dynamic and social nature of microblogs, extracting useful information from microblogs is more challenging than from the traditional news articles. In this paper we study the problem of summarizing the differences from microblogs. Given a collection of microblogs discussing an event/topic, we propose to generate a short summary delivering the differences among these microblogs, such as the different points of view for a news topic and the changes and evolution of an ongoing event.
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With the emergence and development of Microblog in China, it has become prevalent in recent years for web media and social network to become hybrid and converged. Many Chinese Microblog platforms have been available as new network media services. Although the native Chinese Microblog services are working similar in terms of basic function and Application Programming Interface(API), there are many different characteristics in many aspects such as users features, message contents and structures. in this paper, we conduct a thorough comparison among the Chinese Microblog platforms. on one hand, we propose a method for gaining users' information and hot topics based on Microblog APIs of the top 4 popular Chinese Native Microblog services, Sina Microblog, Ten cent Microblog, Sohu Microblog and Net ease Microblog. on the other hand, we depict the social network of the four services based on the relationships among Microblog users and analyze the content to find out what kinds of topics are hot. Based on these two procedures, we present some remarks on the differences and similarities among these four services. upon the above analysis, users' characteristics, similarities and differences of contents based on various microblog platforms are specifically demonstrated and articulated.
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Microblog is one of the most popular online social networking service, which has tremendous growth all over the world in recent years. As the first microblogging site and most influential social media platform, Twitter has been well documented. Nowadays, the number of Internet user in China take the first place in the world, however the popular Chinese microblogging service Sina Weibo has not been studied. In this paper, we make a comprehensive comparison of Sina Weibo and Twitter in order to identify the similarities and differences between them. Sina Weibo is comparable with Twitter, both are worthy of further study.
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