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Prediction models of learning strategies and learning achievement for lifelong learning

机译:终身学习学习策略和学习成果预测模型

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Today's rapidly changing in Technology Enhanced Learning (TEL) and Lifelong Learning Styles (LLS) are becoming a part of everyday life. This objectives of the paper is to develop a theoretical framework and provide perspectives of Learning Strategies (LS) and Learning Achievement (LA) for Lifelong learning at the high school in the Maha Sarakham province. The paper is focused on identifying the first steps needed to make learning academic achievement. The data gathering is collected from 668 students at Phadungnaree School, Maha Sarakham province. The method consists of three processes: data collection, data analysis and model development, and evaluation of model performance. The results of the study found that the factors that affect students are basic chemistry course (s30102), basic biology course (s30103), and physics course (s30101). Finally, the testing results and measurement the performance of the model are high scores (94.51%), which can be further developed into software applications and mobile applications.
机译:今天的技术增强学习(TEL)与终身学习风格(LLS)快速变化正在成为日常生活的一部分。本文的目的是制定理论框架,并为玛哈萨拉姆省的高中学习终身学习提供学习策略(LS)和学习成就(LA)的观点。本文专注于确定学习学业成就所需的第一步。数据收集是从玛哈萨克姆省Phadungnaree School的668名学生收集。该方法包括三个流程:数据收集,数据分析和模型开发,以及模型性能的评估。研究结果发现,影响学生的因素是基本化学课程(S30102),基本生物课程(S30103)和物理过程(S30101)。最后,测试结果和测量模型的性能是高分(94.51 %),可以进一步开发到软件应用程序和移动应用程序中。

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