We investigate personalizing the explanations that an Intelligent Tutoring System generates to justify the hints it provides to students to foster their learning. The personalization targets students with low levels of two traits, Need for Cognition and Conscientiousness, and aims to enhance these students' engagement with the explanations, based on prior findings that these students do not naturally engage with the explanations but they would benefit from them if they do. To evaluate the effectiveness of the personalization, we conducted a user study where we found that our proposed personalization significantly increases our target users' interaction with the hint explanations, their understanding of the hints and their learning. Hence, this work provides valuable insights into effectively personalizing AI-driven explanations for cognitively demanding tasks such as learning.

翻译：我们研究了如何个性化智能辅导系统生成的解释，以证明其向学生提供的提示有助于促进学习。个性化针对的是“认知需求”和“尽责性”这两个特质水平较低的学生，旨在基于先前研究发现——这些学生自然情况下不会主动参与解释，但一旦参与便能从中受益——来提高他们与解释的互动。为评估个性化的效果，我们开展了一项用户研究，发现所提出的个性化方法显著增加了目标用户与提示解释的互动、对提示的理解以及学习成效。因此，这项工作为有效个性化AI驱动的解释（用于学习等认知需求较高的任务）提供了宝贵见解。