NeuroConscious Transformer: An Open-Source Artificial Intelligence Framework for Adaptive Learning and Educational Innovation
NeuroConscious Transformer：一个用于自适应学习与教育创新的开源人工智能框架
Abstract
In order to bridge the gap between theoretical AI advancement and practical application, many practical tools need to be built and tested in classrooms first before they can play their role well. Here we propose one such tool named NeuroConscious Transformer (NCT) v3.1, which was originally created to simulate brain activities and study computational consciousness but could also find wide usage in AI education scenarios. First, consciousness metrics (Φ-value) might become one of the indicators of monitoring students’ attention, while multi-candidate competition mechanisms will help demonstrate the process of problem-solving exploration. Second, our empirical validation shows that it has achieved comparable results against state-of-the-art models (99.2% on MNIST and 90.3% on CIFAR-10), thus proving the technical feasibility of the whole system. Third, accompanying abundant teaching materials (interactive visualizations, Jupyter notebooks, laboratory manuals, instructor guides, etc.) have been released as open educational resources (OER). So far, the technical tests based on typical datasets have finished, while this paper just introduces a conceptual framework aimed at educational purposes. Further classroom implementations and student outcome studies will be carried out afterwards. Related codes can be found at https://github.com/wyg5208/nct (MIT license).
摘要
为弥合理论人工智能发展与实际应用之间的差距，许多实用工具需先在课堂环境中构建并进行测试，方能充分发挥其作用。本文提出一款此类工具——NeuroConscious Transformer（NCT）v3.1；该工具最初旨在模拟脑活动并研究计算意识，但亦可广泛应用于人工智能教育场景。首先，意识度量指标（Φ值）可作为监测学生注意力的指标之一；而多候选竞争机制则有助于展示问题求解探索的过程。其次，我们的实证验证表明，该工具取得了与当前最先进模型相当的性能（在 MNIST 数据集上达到99.2%，在 CIFAR -10数据集上达到90.3%），从而证明了整个系统的技术可行性。第三，我们已将配套的丰富教学资源（包括交互式可视化工具、Jupyter Notebook、实验手册、教师指南等）作为开放教育资源（OER）发布。截至目前，基于典型数据集的技术测试已全部完成，而本文仅介绍了一个面向教育目的的概念框架；后续将开展进一步的课堂实践及学生学习成效研究。相关代码可访问 https://github.com/wyg5208/nct（MIT许可证）。
关键词：AI in Education · Adaptive Learning Systems · Open-Source Educational Tools · Consciousness Metrics · STEM Education · Intelligent Tutoring Systems
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