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An Expert System Approach to Support Blended Learning in Context-Aware Environment

机译:在上下文感知环境中支持混合学习的专家系统方法

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With the development of mobile internet and devices, the flexibility and portability of digital learning have improved continuously. Students can interact with mobile devices to support blended learning in context-aware environment. In this study, an expert system named Plant-expert which can provide decision-making questions for students to acquire knowledge about plant classification was developed. To explore the learning effectiveness of Plant-expert, another app named Plant-general that only contains information pages of target plants was designed. An experiment has been conducted on a secondary school biology course to evaluate the effectiveness of the proposed method. The experimental group with 46 students using Plant-expert in campus with target plants and the control group with 47 students using Plant-general in the same campus. We conducted pre-test, post-test and delayed test to evaluate learning achievement of students and used the Paas (1992) cognitive load rating scale to measure the mental effort of students invested into blended learning activities. The experimental results show that the proposed approach can improve the learning achievements of the students, and not increases mental effort.
机译:随着移动互联网和设备的发展,数字学习的灵活性和便携性不断提高。学生可以与移动设备进行交互,以在上下文相关的环境中支持混合学习。在这项研究中,开发了一个名为“植物专家”的专家系统,该系统可以为学生提供决策问题,以获取有关植物分类的知识。为了探索Plant-expert的学习效果,设计了另一个名为Plant-general的应用程序,该应用程序仅包含目标植物的信息页。已经对中学生物学课程进行了实验,以评估所提出方法的有效性。在同一校园中,实验组有46名学生在使用目标植物的校园中使用植物专家,对照组在实验组中有47名在同一校园中使用植物一般的学生。我们进行了前测,后测和延迟测验来评估学生的学习成绩,并使用Paas(1992)认知负荷量表来衡量投入到混合学习活动中的学生的心理努力。实验结果表明,该方法可以提高学生的学习成绩,而不会增加脑力劳动。

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