摘要
在教育数字化转型背景下,高质量在线开放课程建设对于促进在线教育优质发展、推动高等教育强国建设具有重要意义。然而,当前在线开放课程质量参差不齐,导致实践应用中存在课程完成率低、学生参与度低、学习体验差等问题,亟须重视在线开放课程质量研究,以提升学习效果和学习体验。为了解国内和国际高质量在线开放课程的特点,文章基于学习体验视角,首先对20门高质量在线开放课程评论进行文本挖掘,揭示其学习体验的八大构成要素;然后文章从感官体验、内容体验、情感体验和价值体验四个维度对其进行整体比较,并从素质类课程、基础类课程、专业类课程三个方面对其内容体验与体感体验进行了特色分析。文章通过多维度及多层次比较研究,从学习体验视角揭示了中外高质量在线开放课程的共性和差异,以期为我国在线课程的质量提升和国际化传播提供实证参考。
Under the background of educational digital transformation,the construction of high-quality open online courses is of great significance for promoting the high-quality development of online education and promoting the construction of higher education power.However,the current quality of online open courses is uneven,leading to issues such as low course completion rates,low student engagement,and poor learning experience in practical application.It is urgent to pay attention to the quality research of online open courses in order to improve the learning effect and learning experience.In order to understand the characteristics of domestic and international high-quality online open courses,this paper firstly explored the texts of 20 high-quality online open courses reviews from the perspective of learning experience,and revealed the eight components of their learning experience.Then,the paper made an overall comparison from the four dimensions of sensory experience,content experience,emotional experience and value experience,and analyzed the characteristics of their content experience and somatosensory experience from the aspects of quality courses,basic courses and professional courses.Through multi-dimensional and multi-level comparative research,this paper revealed the commonalities and differences of high-quality online open courses in China and abroad from the perspective of learning experience,expecting to provide empirical reference for the improvement and optimization of online courses in China and their international dissemination.
作者
肖婉
季一木
XIAO Wan;JI Yi-Mu(School of Educational Science and Technology,Nanjing University of Posts and Telecommunications,Nanjing,Jiangsu,China 210023;School of Computer Science,Nanjing University of Posts and Telecommunications,Nanjing,Jiangsu,China 210023)
出处
《现代教育技术》
CSSCI
2024年第2期81-89,共9页
Modern Educational Technology
基金
教育部人文社会科学研究青年项目“基于多模态数据的学习者情感分析及应用研究”(项目标号:20YJC880104)
江苏省博士后科研资助计划项目“智慧教育情境下多模态情感分析模型及应用研究”(项目编号:2021K460C)
南京邮电大学教育科学“十三五”规划课题“教育大数据背景下基于可视化工具的个性化学习服务模式研究”(项目编号:GJS-XKT2012)资助。