One fundamental goal of learning is preparation for future learning (PFL) and being able to extend acquired skills and problem-solving strategies to different domains and environments. While substantial research has shown that PFL can be accelerated by obtaining metacognitive skills or influenced by the individual's motivation, no prior work investigated whether the interaction of the two factors could assess students' competency for PFL. In this chapter, we tackle this research question in one type of highly interactive e-learning environment, intelligent tutoring systems. More specifically, we investigate whether the combination of metacognitive skills and motivation would assess students' learning abilities in logic, and their competence to extend these abilities to a subsequent domain, probability.
翻译:学习的一个基本目标是准备未来学习(PFL)并能够将所获得的技能和解决问题的策略推广到不同的领域和环境中。尽管大量的研究表明PFL可以通过获得元认知技能或受到个体动机的影响而加速,但以前的研究没有调查两个因素的交互是否可以评估学生在PFL方面的能力。在这篇文章中,我们在一种高度交互式的电子学习环境,智能辅导系统中研究这个问题。更具体地说,我们研究了元认知技能和动机的组合是否能够评估学生在逻辑方面的学习能力,以及他们在随后的领域——概率方面扩展这些能力的能力。