正在进行的工作——基于个体差异分析的基于网络的自适应反馈研究

Hyunjong Choe, Youngkwon Bae, Taeyoung Kim, Taewuk Lee
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引用次数: 4

摘要

为了证明基于网络的自适应反馈的可行性,本研究利用个体差异作为解决方案。然而,由于个体的隐性特征,很难推导出一个明确的模型。在许多国家,小学、初中和高中学生都要接受标准化的性格和能力测试。这个测试保证了信度和效度,它的结果显示了个人性格和才能的各个方面。因此,我们认为标准化测试的结果可以用来区分班级中的个体。从标准化测试结果中,选择了7个通用的认知和能力倾向因素,并将这些因素与反馈类型联系起来。同时,我们设计了一个基于web的绩效评估系统来评估我们提出的方法。我们将把这个系统应用到一所中学的学生身上,在一个基于web的环境中评估我们提出的自适应反馈模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Work in progress - the study of Web-based adaptive feedback based on the analysis of individual differences
To demonstrate the feasibility of Web-based adaptive feedback, our study exploits the individual differences as a solution. However, the implicit characteristics of individual make hard to derive an explicit model. In many countries, primary, secondary and high school students undergo a standardized personality and aptitude test. This test guarantees reliability and validity, and the result of it shows various aspects of personal characters and aptitudes. Thus, we think that the results of the standardized test can be used to differentiate individuals in the class. From the standardized test results, seven general cognitive and aptitude factors are selected, and then, we relate those factors to feedback types. Also we design a Web-based performance assessment system to evaluate our proposed method. We are going to apply this system to the students in a secondary school for evaluating our proposed adaptive feedback model in a Web-based environment.
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