| 面向教育大数据的知识追踪研究综述 |
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| 引用本文： | 魏廷江,倪琴,高荣,郝煜佳,白庆春.面向教育大数据的知识追踪研究综述[J].上海师范大学学报(自然科学版),2022,51(2):171-179. |
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| 作者姓名： | 魏廷江 倪琴 高荣 郝煜佳 白庆春 |
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| 作者单位： | 1. 上海师范大学信息与机电工程学院;2. 上海开放大学上海开放远程教育工程技术研究中心 |
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| 基金项目： | 国家自然科学基金青年基金（6210020445）；;上海市自然科学基金（21ZR1446900）； |
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| 摘 要： | 介绍了知识追踪（KT）的相关概念与任务，梳理其发展脉络，综述KT的原理、相关算法和数据集，分析了不同结构的KT模型的优缺点.在此基础上，对KT领域未来发展方向进行了深入探讨，提出了数据表征、认知建模、模型可解释性三个重要的发展方向，并作出了一定的展望.
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| 关 键 词： | 知识追踪(KT) 教育数据挖掘 个性化学习 学习者建模 |
| 收稿时间： | 2022/1/31 0:00:00 |
A survey of knowledge tracing for educational big data |
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| WEI Tingjiang,NI Qin,GAO Rong,HAO Yuji,BAI Qingchun.A survey of knowledge tracing for educational big data[J].Journal of Shanghai Normal University(Natural Sciences),2022,51(2):171-179. |
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| Authors: | WEI Tingjiang NI Qin GAO Rong HAO Yuji BAI Qingchun |
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| Institution: | College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 201418, China; Shanghai Engineering Research Center of Open Distance Education, Shanghai Open University, Shanghai 200433, China |
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| Abstract: | In this paper, firstly common models and datasets in the field of knowledge tracing (KT) were organized and the development and progress of them were collated. Secondly, the correlative theory as well as principles and datasets were overviewed. The advantages and disadvantages of KT models with different structures were analyzed. Moreover, the future development directions of the KT field were discussed, and three important directions of data representation, cognitive modeling, and model interpretability were proposed respectively, and the prospect for the future was predicted. |
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| Keywords: | knowledge tracing (KT) educational data mining adaptive learning learner model |
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