Artificial intelligence (AI) has been applied across educational contexts to support learning. One approach to such support is "human-AI collaboration" (also termed "hybrid intelligence"), where human(s) and AI components interact to promote human learning. However, as in human-to-human computer-supported collaborative learning (CSCL), unstructured interaction does not necessarily produce an effective learning experience. This paper reports a systematic literature review of empirical studies (N=62) on human-AI collaboration and hybrid intelligence for learning support. The review characterizes collaboration processes, their structures, and contexts of application. It also extracts emerging design knowledge and research gaps. Researchers and technology designers can use these findings as a starting point for structuring more effective AI-enhanced technologies for collaboration, in educational practice and future research.

翻译：人工智能（AI）已广泛应用于教育领域以支持学习。其中一种支持方式是"人机协作"（亦称"混合智能"），即人类与AI组件相互作用以促进人类学习。然而，如同人机协作学习（CSCL）中的情况一样，非结构化的互动未必能产生有效的学习体验。本文对面向学习支持的人机协作与混合智能实证研究（N=62）进行了系统性文献综述。该综述描述了协作过程、其结构及应用情境，并提炼了新兴的设计知识与研究空白。研究者与技术设计者可利用这些发现，作为在教育实践与未来研究中构建更有效的AI增强型协作技术的起点。