文献类型：期刊文献

英文题名：Data Mining and Application of College Students’ Learning Investment Combined with Data Mining Technology

作者：Fan, Linlin[1,2]; Xu, Rui[1]

第一作者：范琳琳;Fan, Linlin

机构：[1] School of Nursing, Gansu University of Chinese Medicine, Lanzhou, China; [2] School of Education Science, Northwest Normal University, Lanzhou, China

第一机构：甘肃中医药大学护理学院

年份：2026

卷号：456 SIST

起止页码：292

外文期刊名：Smart Innovation, Systems and Technologies

收录：EI(收录号：20261820640358)

语种：英文

外文关键词：Big data - Computer aided instruction - Data accuracy - Data mining - Engineering education - Investments - Learning systems

摘要：It is an inevitable requirement of educational informatization to apply intelligent sensing devices to track the learning process in a smart learning environment and conduct more comprehensive research and learning investment through multi-modal data. In this paper, the automatic calculation of college students’ English learning investment by big data is realized, and the correctness of the model is verified by experiments. The comparison results show that the calculation accuracy of the studied model is more intelligent than that of the manual evaluation model, and the calculation time is less than that of the traditional model, which meets the design requirements of the method. In addition, the innovation of the computational model studied is that it uses big data technology to mine relevant data and clean the mined data, which can greatly improve the accuracy of the calculation. At the same time, it designs indicators related to learner behavior characteristics, analyzes their correlation, and predicts the state based on the results of correlation calculation to derive learners’ learning rules and learning methods. ? The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.