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The conversational online study with the aptitude of the student and private teacher

机译:具有学生和私人教师能力的在线对话学习

摘要

The online tutoring method and system selects a best available tutor and establishes an interactive learning environment for the student. The automated selection process uses a weighting system to incorporate numerous factors from and about the student and tutors. Upon receipt of a request for tutoring from a student, the matching processes is performed and a tutor is selected. Information about the participating tutors, such as proficiency in the subject matter and qualifications with respect to particular age groups, are quantified and associated with competency criteria. Information about the student, such as the type of assistance required and the student's education level are quantified and associated with request criteria that corresponds to the competency criteria. The weighting system combines the quantified information associated with the criteria to select best tutor. The weighting system may further include objective relative weights, input from the student's parent, and/or tutor certifications. The availability of the tutors are also taken into account in selecting a tutor. In one embodiment Internet technology and automatic call distributor technology may be combined to facilitate the automated selection process and for providing the framework for the tutoring sessions.
机译:在线辅导方法和系统选择最佳的可用辅导员,并为学生建立交互式学习环境。自动化选择过程使用加权系统来合并来自学生和导师以及与之相关的众多因素。在收到来自学生的补习请求后,执行匹配过程并选择一名补习老师。有关参与教师的信息,例如主题知识和特定年龄组的资格,将被量化并与能力标准相关联。关于学生的信息,例如所需的协助类型和学生的教育水平,将被量化并与与能力标准相对应的请求标准相关联。加权系统结合了与标准关联的量化信息,以选择最佳导师。加权系统可以进一步包括客观相对加权,来自学生父母的输入和/或导师证明。在选择导师时也要考虑导师的可用性。在一个实施例中,可以将互联网技术和自动呼叫分配器技术结合起来,以促进自动选择过程并提供用于辅导会话的框架。

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