数据挖掘在大学英语成绩预测中的应用研究
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摘要
"数据驱动学校,分析变革教育"[1]的大数据时代已经来临,数据挖掘这一技术在教育行业随之诞生。随着社会对英语的应用日益增加,英语学习日益重要,大数据及数据挖掘技术在英语教学与学习中的应用与研究将成为新的发展趋势。本研究是基于大学英语技能训练系统产生的教学数据进行的挖掘分析,选取和学生成绩相关的数据作为特征,以学生考试成绩为目标,运用GBDT模型进行模型训练,实现了学生成绩的预测,经过评估、分析发现用数据挖掘技术可以比较准确的预估学生成绩,验证了数据挖掘技术在大学英语学习中的应用,以及GBDT模型对结果预测的影响,对学生学习和教师教学有很大的指导作用和使用价值。
Big Data of "Data-driven school, analyze change education" era has arrived, and the data mining technology in the education sector will be born. With the increasing of using English society, the growing importance of learning English, big data and data mining technology and research in English teaching and learning will become a new trend. This study is based on data mining analysis of college English teaching skills training system to produce carried, data selection and student achievement as a characteristic related to student test scores as the goal, the use of GBDT model to train the model to predict student achievement realized through assessment, analysis using data mining techniques can be more accurately estimated student achievement, to verify the impact of data mining technology in college English learning, as well as the results of model predictions GBDT on student learning and teachers teaching great guide the role and value in use.
Big Data of "Data-driven school, analyze change education" era has arrived, and the data mining technology in the education sector will be born. With the increasing of using English society, the growing importance of learning English, big data and data mining technology and research in English teaching and learning will become a new trend. This study is based on data mining analysis of college English teaching skills training system to produce carried, data selection and student achievement as a characteristic related to student test scores as the goal, the use of GBDT model to train the model to predict student achievement realized through assessment, analysis using data mining techniques can be more accurately estimated student achievement, to verify the impact of data mining technology in college English learning, as well as the results of model predictions GBDT on student learning and teachers teaching great guide the role and value in use.
引文
[1]徐鹏,王以宁,刘艳华,等.大数据视角分析学习变革——美国《通过教育数据挖掘和学习分析促进教与学》报告解读及启示[J].远程教育杂志,2013,06:11-17.
[2]禤世丽.决策树在英语等级考试成绩分析中的应用研究[J].计算机与数字工程,2014,05:843-845+871.
[3]张济础.教育信息挖掘模型的设计与实现[D].大连海事大学,2007.
[4]郑明超.数据挖掘技术中分类算法的比较分析[D].兰州商学院,2007.
[5]郑培钿,傅秀芬,徐金成.基于ID3算法的英语四级考试条件结论信息数据挖掘[J].信息通信,2012,02:121-122.
[6]闫永慧.空间数据挖掘中数据预处理技术探讨[A].中国测绘学会工程测量分会.数字测绘与GIS技术应用研讨交流会论文集[C].中国测绘学会工程测量分会,2008:8.
[7]邓娜,王宇,王秋玲.数据挖掘库预处理技术在教学中的应用研究[J].河北省科学院学报,2006,02:15-18.
[2]禤世丽.决策树在英语等级考试成绩分析中的应用研究[J].计算机与数字工程,2014,05:843-845+871.
[3]张济础.教育信息挖掘模型的设计与实现[D].大连海事大学,2007.
[4]郑明超.数据挖掘技术中分类算法的比较分析[D].兰州商学院,2007.
[5]郑培钿,傅秀芬,徐金成.基于ID3算法的英语四级考试条件结论信息数据挖掘[J].信息通信,2012,02:121-122.
[6]闫永慧.空间数据挖掘中数据预处理技术探讨[A].中国测绘学会工程测量分会.数字测绘与GIS技术应用研讨交流会论文集[C].中国测绘学会工程测量分会,2008:8.
[7]邓娜,王宇,王秋玲.数据挖掘库预处理技术在教学中的应用研究[J].河北省科学院学报,2006,02:15-18.