CAJ | 학술논문

通过大数据学习分析模型，能够深入探究学习者的学习过程与情境，发现学习规律，根据每一个学生的需求和能力为其提供个性化自适应学习。本研究综述了大数据的内涵及应用，从微观视角提出了大数据之“大”，不在于其表象的“大容量”，而在于分析数据的全面性和潜在的“大价值”。基于大数据分析，从数据与环境(What)、关益者(Who)、方法(How)和目标(Why)等4个维度构建个性化自适应在线学习分析模型。以《C语言程序设计》课程学习为例，从基于大数据个性化自适应的学习过程结构、学习过程可视化及学习效果实证等方面进行分析，研究结果表明对学生学习行为与知识掌握的数据分析，能够推荐合理的学习路径与恰当难度的学习资源，可对学生的学习效果做及时准确的反馈，提供个性化服务干预，有利于促进教与学。
통과대수거학습분석모형，능구심입탐구학습자적학습과정여정경，발현학습규률，근거매일개학생적수구화능력위기제공개성화자괄응학습。본연구종술료대수거적내함급응용，종미관시각제출료대수거지“대”，불재우기표상적“대용량”，이재우분석수거적전면성화잠재적“대개치”。기우대수거분석，종수거여배경(What)、관익자(Who)、방법(How)화목표(Why)등4개유도구건개성화자괄응재선학습분석모형。이《C어언정서설계》과정학습위례，종기우대수거개성화자괄응적학습과정결구、학습과정가시화급학습효과실증등방면진행분석，연구결과표명대학생학습행위여지식장악적수거분석，능구추천합리적학습로경여흡당난도적학습자원，가대학생적학습효과주급시준학적반궤，제공개성화복무간예，유리우촉진교여학。
Learning analysis model based big data helps to explore learning process, learning situation, learning principles and provide individual adaptive learning based on learner requirements and ability. Firstly, this paper summarizes the intension and application of big data and especially emphasizes that big data is not higher volume but high value. Secondly, individual adaptive online learning analysis model is built based on four dimensions, namely data and environments (what), stakeholders (who), methods (how) and objectives (why).Finally, Taking C language program design for example, this paper analyzes learning process structure, visualization and learning effect. The results show that individual learning which analyzing learning behavior, recommending reasonable learning path and learning resource can promote the teaching and learning, especially for underachievers.