与其他物种相比,人类学习是由可学技能的范围和复杂性以及所能达到的抽象程度来区分的。人也是唯一一个形成了教师、学校和课程这样一种正规方式去增强学习的物种。人类婴儿对人和人的行为有着强烈的兴趣,并且他们具有受社会互动所影响的强大的内隐学习机制。神经系统科学家开始理解隐含在学习中的大脑机制,以及用于感知与行为的共享大脑系统是如何支持社会学习的。机器学习算法正在被开发出来,它允许机器人和计算机进行自主学习。来自于不同领域的新见解被汇聚到一起,以创建一种可以改变教育实践的新学习科学。 Compared with other species, human learning is distinguished by the range and complexity of learning skills and the degree of abstraction that can be achieved. People are also the only species that form a formal way for teachers, schools, and curricula to enhance learning. Human babies have a strong interest in human and human behavior, and they have powerful implicit learning mechanisms that are influenced by social interactions. Neuroscientists are beginning to understand how the brain mechanisms implicit in learning and how shared brain systems for perception and behavior support social learning. Machine learning algorithms are being developed that allow robots and computers to learn autonomously. New insights from different areas are brought together to create a new learning science that can change educational practices.