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Higher Education Challenge Characterization to Implement Automated Essay Scoring Model for Universities with a Current Traditional Learning Evaluation System

机译:高等教育挑战特征在于利用当前传统学习评估系统实施大学自动化论文评分模型的特征

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Higher education is currently challenged to respond to a massive interest in learning with a current model that shows increasing evidence of too much cost, effort and decreasing efficacy of the operational learning process. Artificial intelligence has gained presence as a solution, but the integration process is already reporting problems and will not be implemented easily, in particular for universities with low degree of automation integrated to their systems. Universities need to quickly adapt and develop organizational and individual competencies, and clarity about the elements for new learning evaluation systems. This work contributes to propose a model to help universities to define these new systems making the most of artificial intelligence tools for academic essays scoring.
机译:目前有挑战高等教育,以应对巨大兴趣与当前的模型,显示出现太多成本,努力和运营学习过程的效果的证据。人工智能已经获得了解决方案,但整合过程已经报告了问题,并且不会轻易实施,特别是对于集成到其系统的自动化程度低的大学。大学需要快速适应和发展组织和个人能力,以及对新学习评估系统的要素的清晰度。这项工作有助于提出一个模型来帮助大学来定义这些新系统,使得最大的学术论文评分的人工智能工具。

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