用AI自动分析82篇教育类论文，帮研究者快速发现未来课题。
Automatic answering of scientific questions using the FACTS-V1 framework: New methods in research to increase efficiency through the use of AI
- 构建三步框架：文本提取→过滤解读→统计分析
- 基于82篇公开论文，生成教育AI趋势的交互式报告
- 适合需要高效梳理文献的研究者和政策制定者
人工智能（AI）为拓展和支撑教育研究提供了多种可能。本文提出FACTS-V1（文本来源内容筛选与分析）原型框架，可无需依赖专有工具，从开放获取文档服务器自动提取、分析并解读大量科学论文。该框架由三部分构成：文本提取、过滤与解读、以及基于主题建模的交互式统计评估。目标是根据现有数据为未来研究问题提供推荐。以“AI如何改变教育领域”为例进行演示，所用数据来自2024年82篇关于教育AI的公开论文，均来源于莱布尼茨教育研究所的peDOCS文档服务器。
原文摘要 · Abstract (English)
The use of artificial intelligence (AI) offers various possibilities to expand and support educational research. Specifically, the implementation of AI can be used to develop new frameworks to establish new research tools that accelerate and meaningfully expand the efficiency of data evaluation and interpretation (Buckingham Shum et al., 2023). This article presents the prototype of the FACTS-V1 (Filtering and Analysis of Content in Textual Sources) framework. With the help of the application, numerous scientific papers can be automatically extracted, analyzed and interpreted from open access document servers without having to rely on proprietary applications and their limitations. The FACTS-V1 prototype consists of three building blocks. The first part deals with the extraction of texts, the second with filtering and interpretation, and the last with the actual statistical evaluation (topic modeling) using an interactive overview. The aim of the framework is to provide recommendations for future scientific questions based on existing data. The functionality is illustrated by asking how the use of AI will change the education sector. The data used to answer the question comes from 82 scientific papers on the topic of AI from 2024. The papers are publicly available on the peDOCS document server of the Leibniz Institute for Educational Research and Educational Information.
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