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Currently, Thinking Maps(TM) which includes eight kinds of sub graphs, has been a set of popular visual tools for learners to achieve the tasks of inductive and deductive thinking, dialogical thinking, metaphorical thinking and systemic dynamic thinking. But many of the researches focus on building these sub graphs manually. In this paper, after analyzing the features of e-Learners' behaviors, a method...
To begin with, this paper introduces a topic map oriented e-learning platform--Yotta. We compare the Yotta with the traditional e-learning platform Moodle from the aspects of learning resources organization, design of learning activities, learning behavior characteristics of learners, etc. Secondly, we provide two new criteria which can reflect e-learners` learning behavior using topic maps: the coverage...
To solve the problem of emotional illiteracy in current e-Learning environment, researches on sentiment analysis now get more attentions. This paper focuses on recognizing emotion from interactive Chinese texts (ICTs). Through observation, firstly, characteristics of ICTs are discussed. Then two kinds of feature sets, frequency based feature set and interaction related feature set, are presented....
As technology advanced, e-learning becomes increasingly important and popular in our society. Determining how to care about the e-learnerpsilas emotional state is a vital issue. Our research concerns offering a better service to e-learners and making their experience in online learning and communication enjoyable. In this paper, which is based on literature search, we find the main emotional categories;...
Aiming at emotional illiteracy in current e-learning environment, this paper discussed the reason why this situation happens. A research and application framework of recognizing emotion based text interaction is presented. An emotion category model for e-Learners is defined. Many Chinese metaphors are abstracted from corpus according to the sentence semantic and syntax. A method is applied to identify...
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