摘要
以大数据驱动下的词边注释已有研究结果为基础,开发含有大数据词边注释的高职英语阅读微信小程序。为研究高职学生对词边注释小程序的满意度,编制了《词边注释小程序满意度问卷量表》。首先通过因子分析确认了量表的四个因子:感知易用性、感知有用性、期望确认程度和满意度。通过访谈、描述统计、独立样本T检验和回归分析等统计方法得出:词边注释小程序对高职生进行英语阅读有促进作用,男女生在对小程序易用性的评价方面存在显著差异,小程序的有用性和期望确认程度对用户满意度有显著正向影响。
Based on the existing research results of big data-driven word side annotation,a Wechat small program for English reading in higher vocational colleges with big data word side annotation is developed.In order to study the satisfaction of word side annotation small program,the satisfaction questionnaire of word side annotation small program is developed.First of all,four factors of the scale are confirmed by factor analysis:perceived ease of use,perceived usefulness,expected confirmation degree and satisfaction.Through interview,descriptive statistics,independent sample t-test and regression analysis,the paper concluds that the word side annotation program can promote the English reading of higher vocational college students.There are significant differences between male and female students in the evaluation of the ease of use of the program.The usefulness of the program and the degree of expectation confirmation have a significant positive impact on user satisfaction.
作者
徐学敏
XU Xuemin(Humanities and Social Sciences Department, Changzhou Textile Garment Institute, Changzhou 213164, China)
出处
《常州信息职业技术学院学报》
2020年第2期31-36,共6页
Journal of Changzhou College of Information Technology
基金
江苏省高教学会评估委员会2019年度课题“大数据驱动的外语在线自主学习模式研究与评价”(2018-Y13)
江苏省教育科学“十三五”规划2018年度课题“高等学校英语应用能力考试的反拨效应研究与测评价体系的重构”(K-b/2018/01)
江苏省现代教育技术研究2019年度课题“基于现代信息技术的高职英语教学模式创新研究”(2019-R-73514)
2019年常州纺织服装职业技术学院优秀青年骨干教师项目资助。
关键词
大数据
高职英语阅读微信小程序
满意度
影响因素
big data
Wechat small program for English reading in higher vocational colleges
satisfaction
influencing factors