线上线下混合课程中学生学习行为研究——以《基础日语》课程为例
Research of Students’ Learning Behavior in Online and Offline Blended Courses—Taking “Basic Japanese” for an Example
DOI: 10.12677/AE.2023.133205, PDF,   
作者: 谭炳晗, 申怡然, 黄珠琪:大连理工大学外国语学院,辽宁 大连
关键词: 混合式课程混合式学习日语学习行为Blended Courses Blended Learning Japanese Learning Behavior
摘要: 线上线下混合教学进入人们的视线,逐渐成为大多数大学课程普遍的教学模式。为帮助日语教学组织调整和优化教学策略,方便日语学习者了解自身的学习状态,提高基础阶段的日语混合式课程的教学质量,以《基础日语》线上线下混合课程中的学习者的学习行为为研究对象,通过运用数据分析法、问卷调查法等方法,对《基础日语》线上线下混合课程中学生学习行为及其影响因素进行了系统的研究与分析。研究发现,学生访问时间段的变化趋势以及访问次数可以表明学生的活跃程度与学习时间安排;自主学习行为和合作学习行为对于学习绩效的影响均较为显著。因此,要合理布置学习任务,突出课程学习的重难点,加强与线下课程内容的衔接,要建立分组学习,因材施教。
Abstract: Online and offline blended teaching has come into people’s sight and gradually becomes the com-mon model of teaching of most university courses. In order to help Japanese teaching organizations adjust and optimize teaching strategies, facilitate Japanese learners to understand their own study state, and improve the teaching quality of Japanese hybrid courses at the basic stage, taking the learners’ learning behavior in the online and offline blended course of “Basic Japanese” as the re-search object, we systematically study and analyze the learning behavior and its influencing factors of students in the online and offline blended course of “Basic Japanese” by using the methods of data analysis and questionnaire survey. The study found that the change trend of students’ visit time and the number of visits can indicate the students’ activity and learning schedule. Autonomous learning behavior and cooperative learning behavior have a significant impact on learning performance. Therefore, the learning tasks should be reasonably arranged, the key and difficult points of course learning should be highlighted, the link with offline course content should be strengthened, group learning should be established, and students should be taught according to their aptitude.
文章引用:谭炳晗, 申怡然, 黄珠琪. 线上线下混合课程中学生学习行为研究——以《基础日语》课程为例[J]. 教育进展, 2023, 13(3): 1301-1309. https://doi.org/10.12677/AE.2023.133205

参考文献

[1] 邵华. “互联网+教育”背景下混合式教学本质属性的解构与重构[J]. 职业教育研究, 2018(11): 58-64.
[2] 胡宇弘, 闫艾萍, 王彤. 教育数据背景下学生线上学习行为研究[J]. 安徽体育科技, 2020, 41(4): 66-71.
[3] 曹良亮. 在线学习中学习路径分析及学习行为特点研究[J]. 中国远程教育(综合版), 2014(4): 25-30.
[4] 林丁报. 基于大数据的大学生学习行为分析研究[J]. 湖北开放职业学院学报, 2019, 32(10): 28-29.
[5] 孙琳, 张巧荣, 郑娅峰. 基于edX开放数据的学习者在线学习行为分析[J]. 软件导刊, 2020, 19(12): 190-194.
[6] 黄瑶. 基于在线学习环境下学习者学习行为模型构建与分析[D]: [硕士学位论文]. 昆明: 云南师范大学, 2019.
[7] 张芬芬. 混合式教学模式下学生学习行为分析模型构建与应用研究[D]: [硕士学位论文]. 黄石: 湖北师范大学, 2021.
[8] 王世纯, 许新华, 黄嘉成, 张芬芬. K-Means聚类算法在高校学生成绩分析中的应用研究[J]. 湖北师范大学学报(自然科学版), 2019, 39(3): 113-118.
[9] 曹梅. 大学生混合学习行为表现及其作用机制[J]. 现代远距离教育, 2020(1): 62-68.