SGER: Exploratory Study of Data Mining Techniques Applied to Educational Research Data

这项SGER建议试图将新兴的数据挖掘研究应用到教育视频文本的分析中。该提案将深入审查来自数学研究界和教育研究界的现有文献。一个由顶尖数学教育家和统计学家组成的顾问团队将审查这项工作。该提案的预期结果之一是，通过使用这些先进技术，减少教育研究人员必须花费在分析视频上的时间。这项研究还将探索这些技术是否可以为视频文本数据提供不同的见解。这项提议将有助于数学研究人员和教育研究人员之间的进一步合作。

This SGER proposal seeks to apply emerging research on data mining to the analysis of educational video text. The proposal will review in depth existing literatures from both the mathematics research community and the education research community. An advisory team of leading mathematics educators and statisticians will review the work. One of the expected outcomes of the proposal is reduce the amount of time education researchers must spend in analyzing the video by using these advanced technologies. The study will also explore whether these techniques can provide different insights into video text data. The proposal will contribute to further collaboration between mathematics researchers and education researchers.