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Intelligent evaluation in educational context

机译:教育背景下的智能评估

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The idea is to conceive an intelligent computing system of decision-making aid, in this context of teaching training, the quantification of the human behaviors is the key to this system's innovation. Seeing that it gives opportunity of measuring the professional acts of the teachers in class. This makes it possible to locate these practices compared to the pedagogical theories, into force and especially compared to the constructive approach. In addition, this system helps to identify the student's styles of learning; therefore it places, at the disposal, information which facilitates to the teachers the adaptation of their pedagogical methods so that the student benefit a maximum assimilation. For what concerns them, the students also profit from an innovating alternative: result of the web based performances analysis in summative evaluation. It is a generated report, for each pupil, automatically at the end of the seizure of the marks stipulating in details their weak points and specifying the adequate remedies in terms of activities to be realized to proceed to reflexive regulations in order to raise their levels of assimilation. An able system, starting from observable behaviors in classrooms and of performances seized remotely via the Web, to quantify in a rational way the cognitive and emotional states of the actors of the context of teaching training. An expert system whose general objectives would be: classifying the profiles of the teachers starting from their professional competences based on their pedagogy, behavior and attitude, classifying the learners' profiles by analyzing their interactions and analyzing their performances in summative evaluations, adapting the resources of the teacher's pedagogical methods in order to have a better coherence with the profiles of identities, the profiles of motivation and the profiles of comprehension of learner.
机译:想法是构想一个决策辅助的智能计算系统,在教学培训的背景下,人类行为的量化是该系统创新的关键。看到它给了衡量课堂上教师专业行为的机会。这样就可以将这些实践与教学理论相比较,并使其生效,特别是与建设性方法相比较。另外,该系统有助于识别学生的学习方式;因此,它提供了可帮助教师适应其教学方法的信息,以使学生受益于最大程度的同化。对于他们所关心的事情,学生们还可以从创新的替代方案中受益:总结性评估中基于网络的绩效分析的结果。这是一份针对每个学生的报告,在扣押商标时会自动为每个学生详细规定其弱点,并针对开展反身规定以提高他们的学习水平的活动规定适当的补救措施同化。一个功能强大的系统,从教室中可观察到的行为以及通过Web远程捕获的表演开始,以合理的方式量化教学培训环境中参与者的认知和情感状态。一个专家系统,其总体目标是:根据教师的教学能力,行为和态度,从其专业能力开始对他们的档案进行分类;通过分析他们的互动并在总结性评估中分析他们的表现,对学习者的档案进行分类;调整教师的资源。教师的教学方法,以便与身份特征,动机特征和学习者理解特征更好地保持一致。

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