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ASSESSING DIVERSITY IN LEARNERS BACKGROUND AND PERFORMANCE

机译:学习者评估多样性背景和绩效

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The main implications of the article are: log-quality should be optimized based on price/performance ratios for alternative reproduction levels including technical requirements and expected information added value. The human brain should deliver more and more terms as a specific output of the hermeneutical processes about e-learning behaviours, which may always be modelled by using artificial intelligence approaches. Decision support services may be generated in an adaptation procedure to exact decision needs.
机译:该文章的主要含义是:应基于替代性能(包括技术要求和预期信息附加值)的价格/性能比来优化原木质量。人脑应该提供越来越多的术语,作为关于电子学习行为的解释过程的特定输出,可以始终使用人工智能方法来建模。决策支持服务可以在调整过程中生成以适应确切的决策需求。

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