【作 者】：
晋欣泉， 姜 强， 冯雅楠， 李 松， 赵 蔚
【关 键 词 】：
智能同伴互评； 深度学习； 干预机制； 协作交互
【栏 目】：
课程与教学
【中文摘要】：
从浅层学习走向深度学习，仍面临着干预方面的挑战。智能同伴互评作为一种强化双向互动交流的元认知学习方法，为促进深度学习有效发生提供了新的可能。文章以Peerceptiv智能互评系统为例，从智能同伴互评视角解析了深度学习过程中的干预机制及作用。研究发现，经智能同伴互评干预后，学习者的认知水平得到显著提升，且整体具有更积极的情感体验，同时激活了更多深层次的学习行为投入，有效促进学习者的深度学习，并在此基础上提出了智能同伴互评对促进深度学习的发展路径。研究成果对实现深度学习的研究具有重要的理论贡献，为强化深度学习可持续、高质量发展提供了借鉴。
【英文摘要】：
Moving from shallow learning to deep learning, one still faces the challenge of intervention. Intelligent peer assessment, as a metacognitive learning method that reinforces two-way interaction, offers new possibilities for facilitating deep learning to occur effectively. Taking the Peerceptiv intelligent peer assessment system as an example, this paper analyzes the intervention mechanism and its role in deep learning from the perspective of intelligent peer assessment. It is found that after the intervention of intelligent peer assessment, learners' cognitive level is significantly improved, and they have more positive emotional experience on the whole. At the same time, more in-depth engagement of learning behaviors is activated, which effectively promotes learners' deep learning. On this basis, the development path of intelligent peer assessment to promote deep learning is proposed. The research results have an important theoretical contribution to the study of realizing deep learning, and provide a reference for strengthening the sustainable and high-quality development of deep learning.