ABSTRACT

This paper describes the development and application of a mobile framework to assist teachers in distance learning courses. The tool has a MultiAgent System (MAS) in charge of collecting and analyzing the feelings of texts posted by students in the activities forums, chats, journal and messages sent to the tutor. By means of framework it is possible to identify which students are showing negative feelings, which is the feeling that predominates in a class, to verify the history of the feelings of a certain student. As a way to evaluate the project, teachers with experience in tutoring used the framework with real course data and then to verify the efficiency of the tool, answered a questionnaire and classified postings of an VLE, as a result we obtained the accuracy of 73,88%.

摘要

本文介绍了移动框架的开发和应用，以协助教师进行远程学习课程。该工具具有一个MultiAgent System（MAS），负责收集和分析学生在活动论坛，聊天，日记和发送给导师的消息中发布的文本的感觉。通过框架，可以识别哪些学生表现出负面情绪，即在班上占主导地位的情绪，以核实某个学生的情绪历史。作为评估项目的一种方法，有补习经验的老师使用了包含真实课程数据的框架，然后验证了工具的效率，回答了问卷并对VLE进行了分类发布，结果我们的准确性为73， 88％。