大数据背景下自适应学习个性特征模型研究——基于元分析视角

发布时间：2018-10-18 13:23

【摘要】：技术作为人的存在方式,正在促使教学模式和学习方式发生深刻变革。大数据时代,在学习分析、人工智能、机器学习等新兴技术支持下,自适应学习系统有助于学习者进行差异化学习,促进教育向个性化迈进。基于文献的元分析视角,对知识水平、错误/误解、情感、认知特征以及元认知能力等个性特征进行分析,并对覆盖法、基于认知理论建模、基于约束的模型、模糊逻辑技术、贝叶斯网络和本体技术等建模方法进行解读。同时,采用适切的建模方法构建学习者个性特征模型,并以"自适应课件导学系统(AC-ware Tutor)"为例,解析学习者模型的运行机制。从而有助于提供精准的个性化学习服务,提高教育质量。
[Abstract]:As a way of human existence, technology is promoting profound changes in teaching mode and learning style. In the era of big data, with the support of new technologies such as learning analysis, artificial intelligence and machine learning, adaptive learning system is helpful for learners to carry out differentiated learning and promote education towards individualization. Based on the meta-analysis perspective of literature, this paper analyzes the personality characteristics of knowledge level, error / misunderstanding, emotion, cognitive feature and metacognitive ability, and analyzes the covering method, the modeling based on cognitive theory, the model based on constraint, the fuzzy logic technology, etc. The modeling methods such as Bayesian network and ontology technology are interpreted. At the same time, the appropriate modeling method is used to construct the learner's personality characteristic model. Taking "Adaptive Courseware guidance system (AC-ware Tutor)" as an example, the operating mechanism of the learner's model is analyzed. Thus, it helps to provide accurate personalized learning services and improve the quality of education.
【作者单位】：东北师范大学计算机科学与信息技术学院;湖南第一师范学院信息科学与工程学院;
【基金】：教育部人文社科规划项目“基于知识图谱的开放学习资源自主聚合研究”(项目编号:14YJA880103);教育部人文社科青年项目“大数据时代在线学习者情感挖掘与干预研究”(项目编号:16YJC880046) 基础教育信息化技术湖南省重点实验室(项目编号:2015TP1017) 湖南省哲学社会科学基金项目“‘互联网+’促进城乡基础教育均衡发展的创新机制与路径研究”(项目编号:16YBA094)资助的阶段性成果
【分类号】：G434

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