摘要
近年来随着MOOC运动的发展,对学习者在线学习行为的分析和挖掘成为研究热点,而研究者和教学者都希望能够基于MOOC积累的大数据增进对网上教与学规律的认识。在此研究背景下,如何科学地辨析和标识学生的有效学习行为,便成为开展这类研究非常基础性的工作,会直接影响后续研究的发展空间,也会影响同类研究发现之间的比较与对话。本研究以一门慕课课程的近五百万条学习数据为基础,介绍了这门课程学生学习"行为标签词典"的产生过程,以及基于行为标签的学习行为辨识做法,特别指出了以往文献中常被忽略的依据不同行为的持续时间定义行为的价值。最后,本研究展示了基于行为标签词典的一个研究案例,即行为标签词典如何帮助我们了解学习者"一次学习"的特征。本研究作为方法论层面非常微观但又非常基础的一个探索,希望能够为领域内的类似研究提供借鉴思路,开启在共同行为辨识基础上的研究对话。同时也希望以本研究为出发点,征集更多有识之士用其他数据集对此模型进行检验、丰富和完善,使其能够成为诸如在线自主学习策略、网上课程教学设计有效性等研究的基础工具。
With the development of the MOOC movement in recent years,the analysis and mining of learners’online learning behavior have become a research hotspot,and both researchers and practitioners look to improve their understanding of online teaching and learning patterns by drawing on the big data generated by MOOCs.Against this backdrop,how to scientifically identify students’effective learning behaviors is fundamental to such research,which will directly affect subsequent research as well as comparison and relevance between similar research findings.Based on nearly five million rows of learning behavior data from a MOOC,this study set out to build the Behavioral Label Dictionary and identify learning patterns based on behavioral labels,placing an emphasis on the importance of defining learning behaviors in terms of behavior duration,an aspect often overlooked in previous studies.A case study was then conducted to test how the behavioral label dictionary can facilitate the understanding of the characteristics of learners’learning patterns.Methodologically,this study was a micro-level but fundamental exploration with the aim of inspiring researchers to carry out similar research and initiate a research dialogue based on common behavior identification.Meanwhile,it was also intended to be a starting point for testing,enriching and improving this model with other data sets,turning it into a useful tool for research such as online self-directed learning strategies and online teaching design evaluation.
作者
范逸洲
汪琼
Yizhou Fan;Qiong Wang(不详)
出处
《中国远程教育》
CSSCI
2021年第1期1-7,76,共8页
Chinese Journal of Distance Education
关键词
学习分析
分析粒度
行为标签
慕课
有效学习
学习行为
行为日志数据
课程教学设计
learning analytics
analysis granularity
learning behavioral labels
MOOC
effective learning
learning behavior
behavioral log data
instructional design
