论文标题

一种新型的多模式方法,用于研究小组学习中好奇心的动态

A Novel Multimodal Approach for Studying the Dynamics of Curiosity in Small Group Learning

论文作者

Sinha, Tanmay, Bai, Zhen, Cassell, Justine

论文摘要

好奇心是教育环境中至关重要的元认知技能,导致创造力和对学习的热爱。尽管许多学校系统通过对考试进行教学越来越多地降低了好奇心,但教师越来越感兴趣地唤起学生对他们的好奇心,以便为他们为终身学习和重新锻炼的世界做好准备。然而,好奇心的一个方面很少关注,是同龄人在引起好奇心中的作用。我们介绍了我们认为是第一个理论框架,该框架表达了一种对好奇心的社会认知叙述,该框架将同龄人的可观察行为与潜在的好奇心状态联系起来。我们在有助于好奇心的个体和人际界功能之间进行了两分的区别,以及实现这些功能的多模式行为。我们通过利用纵向潜在可变建模方法来验证所提出的框架。研究结果证实了个体和人际功能的潜在变量与好奇心之间存在积极的预测关系,人际关系的界面功能会产生相对较强的影响。这些功能的突出行为实现也以数据驱动的方式发现。我们将提出的理论框架实例化,以一系列策略和策略,可以纳入学习技术,以表明,唤起和脚手架的好奇心。这项工作是设计学习技术的一步,可以在社交环境中学习和迈向更完整的多模式学习分析过程中的学习和逐步唤起好奇心。基本原理更普遍地用于为其他元认知和社会情感技能开发计算机支持。

Curiosity is a vital metacognitive skill in educational contexts, leading to creativity, and a love of learning. And while many school systems increasingly undercut curiosity by teaching to the test, teachers are increasingly interested in how to evoke curiosity in their students to prepare them for a world in which lifelong learning and reskilling will be more and more important. One aspect of curiosity that has received little attention, however, is the role of peers in eliciting curiosity. We present what we believe to be the first theoretical framework that articulates an integrated socio-cognitive account of curiosity that ties observable behaviors in peers to underlying curiosity states. We make a bipartite distinction between individual and interpersonal functions that contribute to curiosity, and multimodal behaviors that fulfill these functions. We validate the proposed framework by leveraging a longitudinal latent variable modeling approach. Findings confirm a positive predictive relationship between the latent variables of individual and interpersonal functions and curiosity, with the interpersonal functions exercising a comparatively stronger influence. Prominent behavioral realizations of these functions are also discovered in a data-driven manner. We instantiate the proposed theoretical framework in a set of strategies and tactics that can be incorporated into learning technologies to indicate, evoke, and scaffold curiosity. This work is a step towards designing learning technologies that can recognize and evoke moment-by-moment curiosity during learning in social contexts and towards a more complete multimodal learning analytics. The underlying rationale is applicable more generally for developing computer support for other metacognitive and socio-emotional skills.

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