Collaborative Research: Personalized Learning: strategies to respond to distress and promote success

这项建议的目的是探索辅导软件中及时的情感、认知和元认知干预将在多大程度上对学生的情绪、态度和数学成绩产生积极影响。智能导师，Wayang Outpost，一个高中数学辅导系统，正在得到增强，以利用情绪的自动检测来指导认知、元认知和情感形式的学习支持。PI正在进行一系列实验，以了解观察到的情绪状态、情绪评估、学生在导师中的行为和学生成绩之间的相互作用。特别是，这些实验是在测试辅导系统的效果，当它评估学生的情绪，然后以适合该学生的情感和内容知识的教学支持做出回应。在这个项目中，一个由学习技术和数学教育领域的跨学科研究人员组成的团队正在共同努力，调查与学习数学动机有关的问题。他们正在将实验室研究的结果带入课堂。在实验室开发的新技术和方法在一小部分学习者中进行了测试；在他们基于课堂的调查中，他们正在测试该方法在更多样化的人群中的可行性，并改进技术，以便在广泛的课堂学习环境中使用。这一翻译研究项目不仅将对学习技术领域做出重大贡献，而且将有助于我们理解与数学学习动机相关的问题。

The purpose of this proposal is to explore the extent to which timely emotional, cognitive, and metacognitive interventions in tutoring software will have positive effects on students' emotions, attitudes, and achievements in mathematics. The intelligent tutor, Wayang Outpost, a high school mathematics tutoring system, is being enhanced to leverage automatic detection of emotions to guide cognitive, metacognitive, and affective forms of learning support.The PIs are conducting a set of experiments to understand the interplay of observed emotional states, emotion assessments, student behavior within tutors, and student achievement. In particular, the experiments are testing the effects of the tutoring system when it assesses the emotions of a student and then responds with instructional support appropriate to that student's affect and content knowledge. In this project, an interdisciplinary team of researchers in learning technologies and mathematics education are working together to investigate issues related to motivation in learning mathematics. They are taking the results of lab-based studies into classrooms. The novel technology and approaches developed in the lab were tested with a small population of learners; in their classroom-based investigations, they are testing feasibility of the approach with a more diverse population and refining the technology for use in a broad range of classroom learning environments. This translational research project will not only make significant contributions to the field of learning technologies, but will also contribute to our understanding of issues related to motivation in mathematics learning.