【作 者】：
王一岩， 郑 宁， 郑永和
【关 键 词 】：
智慧学习力； 人机协同学习； 智能教育产品； 智慧教育； 智能素养； 自我调节学习
【栏 目】：
理论探讨
【中文摘要】：
在智能技术与教育教学深度融合的时代背景下，学生需要具备何种意识、能力和素质才能适应人机协同的学习模式，避免智能环境下的“认知迷航”风险，是智慧教育研究需要解决的关键问题。基于此，文章提出“智慧学习力”的概念，指出“智慧学习力”是对智慧学习环境下“学习力”概念的延伸，是为了适应智能教育产品的快速发展和人机协同学习的实践进程，学生所需具备的一系列能力、信念、意识、品质的集合，其核心内容涉及学生的智能素养、人机协同思维、自我反思意识、自我调节学习能力、探索精神和创新意识等诸多方面。在此基础上，从“适应力”“辨别力”“自省力”“调控力”“探索力”五个方面构建了智慧学习力的结构模型，对智慧学习力的构成要素进行了系统分析。未来相关研究需要从智慧学习力测评体系的构建、智慧学习力测评实践研究的开展、智慧学习力的影响因素探究、面向智慧学习力培育的智能教育产品研发与改进等方面加以重视。
【英文摘要】：
Under the background of deep integration of intelligent technology and education and teaching, what kind of awareness, ability and quality students need to have in order to adapt to the human-computer collaborative learning mode and avoid the risk of "cognitive trek" in the intelligent environment is a key problem that needs to be solved in the study of smart education. Based on this, this paper puts forward the concept of "intelligent learning power", and points out that "intelligent learning power" is an extension of the concept of "learning power" in the intelligent learning environment. It is a collection of abilities, beliefs, consciousness, and qualities that students need to possess in order to adapt to the rapid development of intelligent education products and the practical process of human-computer cooperative learning. The core content of the concept involves students' intelligent literacy, human-computer collaborative thinking, self-reflection consciousness, self-regulated learning ability, exploration spirit and innovation consciousness. On this basis, the structural model of intelligent learning power is constructed from five aspects of "adaptability", "discrimination", "self-reflection", "regulation" and "exploration", and the constituent elements of intelligent learning power are systematically analyzed. Future research needs to pay much attention to the following aspects: the construction of intelligent learning power evaluation system, the development of practical research on intelligent learning power evaluation, the exploration of influencing factors of intelligent learning power, and the improvement of intelligent education products for the cultivation of intelligent learning power.