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Equilibriating Instructional Media for Cognitive Styles

机译:平衡认知风格的教学媒体

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摘要

Two types of instructional environment (Text and Web) that had been used in a previous study were adapted to accommodate Cognitive Style preferences for Witkin's Field-dependent and Riding's Imager. Ninety six Information Systems students were randomly allocated to each of these environments and their Cognitive Styles were assessed. The students studied an Introductory Course in Artificial Intelligence one hour per week for six weeks after which they were assessed by a one hour exam. It was found that Field-dependents and Field-independents performed similarly in both environments as indicated by their examination scores demonstrating the success of the adaptation of both environments for Field-dependents. The adaptation for Imagers as measured by Riding's CSA was not successful as Verbalisers performed better than Imagers in both Text and Web. This raises questions about the stability of Riding's Verbaliser/Imager dimension. People performed significantly better in the Text environment than in the Web environment.
机译:先前的研究中使用了两种类型的教学环境(文本和Web),以适应Witkin的Field-dependent和Riding的Imager的认知风格偏好。 96名信息系统专业的学生被随机分配到每种环境中,并评估了他们的认知风格。这些学生每周学习一小时,共六个星期,学习人工智能入门课程,然后通过一小时的考试进行评估。结果发现,场依存者和场依存者在两种环境中的表现均相似,这是由他们的考试成绩所表明的,这证明了两种环境对场依存者适应的成功。 Riding的CSA评估的Imagers改编并不成功,因为Verbalisers在文本和Web方面的表现均优于Imagers。这引起了有关Riding的Verbaliser / Imager尺寸稳定性的问题。人们在文本环境中的表现要比在Web环境中好得多。

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