用多个专用AI模拟学习微技能，让大模型实现个性化教育推理
TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models
- 构建多AI协作的思维体架构，由大模型统筹规划
- 原型系统已集成两种可组合的学习微技能
- 适合研究AI教育系统与认知建模的学者
个性化教育是能极大受益于人工智能和大语言模型（LLM）最新进展的领域，但其挑战性极高，因需在个性化学习体验的同时保持教学认知有效性。我们假设，应对此类复杂任务的可行路径是采用「心智社会」机制。本文提出TrueReason，一个示范性的个性化学习系统，整合多种专用AI模型，模拟构成学习能力的微技能，并由大语言模型协同执行规划与推理。文章展示了初始原型架构，并介绍了已集成的两项微技能。该系统标志着构建能承担教育等复杂认知任务的先进AI系统的第一步。
原文摘要 · Abstract (English)
Personalised education is one of the domains that can greatly benefit from the most recent advances in Artificial Intelligence (AI) and Large Language Models (LLM). However, it is also one of the most challenging applications due to the cognitive complexity of teaching effectively while personalising the learning experience to suit independent learners. We hypothesise that one promising approach to excelling in such demanding use cases is using a \emph{society of minds}. In this chapter, we present TrueReason, an exemplar personalised learning system that integrates a multitude of specialised AI models that can mimic micro skills that are composed together by a LLM to operationalise planning and reasoning. The architecture of the initial prototype is presented while describing two micro skills that have been incorporated in the prototype. The proposed system demonstrates the first step in building sophisticated AI systems that can take up very complex cognitive tasks that are demanded by domains such as education.
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