Studying the Effects of Personalized Language and Worked Examples in the Context of a Web-Based Intelligent Tutor
Studying the Effects of Personalized Language and Worked Examples in the Context of a Web-Based Intelligent Tutor
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基于网络的智能导师的个性化语言和实例效果研究
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
K. Koedinger
中科院分区：
文献类型：
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作者：
B. McLaren;Sung;F. Gagnon;D. Yaron;K. Koedinger
以前的研究已经证明了个性化语言和样例的学习益处。然而，之前的研究人员主要感兴趣的是这些干预措施如何支持学生在没有其他认知支持的情况下解决问题。我们假设，将个性化语言添加到基于网络的智能辅导中，并提供工作示例作为辅导的补充，将改善学生的(电子)学习。然而，在2×2析因研究中，我们发现个性化和样例对学习没有显著影响。另一方面，在所有条件下，前测和后测之间存在显著差异，这表明在线智能家教在所有条件下确实对学习产生了影响。我们推测为什么个人化，特别是工作例子在这个初步的实验中没有产生假设的效果，并讨论了一项新的研究，我们已经开始进一步研究这些影响。
Previous studies have demonstrated the learning benefit of personalized language and worked examples. However, previous investigators have primarily been interested in how these interventions support students as they problem solve with no other cognitive support. We hypothesized that personalized language added to a web-based intelligent tutor and worked examples provided as complements to the tutor would improve student (e-)learning. However, in a 2 x 2 factorial study, we found that personalization and worked examples had no significant effects on learning. On the other hand, there was a significant difference between the pretest and posttest across all conditions, suggesting that the online intelligent tutor present in all conditions did make a difference in learning. We conjecture why personalization and, especially, the worked examples did not have the hypothesized effect in this preliminary experiment, and discuss a new study we have begun to further investigate these effects.