[1]黄 涛,王一岩,张 浩,等.智能教育场域中的学习者建模研究趋向[J].远程教育杂志,2020,(01):050-60.[doi:10.15881/j.cnki.cn33-1304/g4.2020.01.005]
 Huang Tao,Wang Yiyan,Zhang Hao,et al.Research on the Development Trend of Learner Modeling in the Era of Intelligent Education[J].Distance Education Journal,2020,(01):050-60.[doi:10.15881/j.cnki.cn33-1304/g4.2020.01.005]
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智能教育场域中的学习者建模研究趋向()
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《远程教育杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2020年01期
页码:
050-60
栏目:
前沿探索
出版日期:
2020-01-07

文章信息/Info

Title:
Research on the Development Trend of Learner Modeling in the Era of Intelligent Education
作者:
黄 涛; 王一岩; 张 浩; 杨华利
1.华中师范大学 教育大数据应用技术国家工程实验室,湖北武汉 430079;2.华中师范大学 国家数字化学习工程技术研究中心,湖北武汉 430079
Author(s):
Huang Tao; Wang Yiyan; Zhang Hao; Yang Huali
1.National Engineering Laboratory for Educational Big Data, Central China Normal University, Wuhan Hubei 430079; 2. National Engineering Research Center for E-Learning, Central China Normal University, Wuhan Hubei 430079
关键词:
智能教育学习者建模量化学习情感计算场景感知教育服务模式
Keywords:
Wisdom Education Learner Modeling Quantitative Learning Affective Computing Scene Perception Educational Service Model
分类号:
G420
DOI:
10.15881/j.cnki.cn33-1304/g4.2020.01.005
文献标志码:
A
摘要:
智能教育时代个性化学习者模型的构建是变革智能教育服务模式、破解教育公平问题、实现差异化教学的关键。从学习者模型构建的发展趋势来看,大数据和人工智能技术将是推动智能教育时代学习者建模发展的核心要素,能够在极大程度上推动学习者建模的研究进展。通过对人工智能支持下的学习者建模研究的理论趋向、目标趋向、数据趋向、特征趋向、技术趋向加以系统阐述,发现智能教育时代学习者模型的构建需要以认知主义、人本主义、建构主义等经典学习理论为指导,实现面向学习者的多层次、全方位建模分析;利用人工智能技术,实现基于多模态感知的全时空多维度数据采集;构建时空融合的建模分析方法,对学习者“知识、认知、情感、交互”等潜在特征进行深入挖掘,实现对学习者知识建构模式、认知发展规律、情感发生机制的深层解析。智能教育时代学习者模型的构建对智能化的资源供给、个性化的教学干预、精准化的教育治理、智慧化的评价体系、科学化的教育研究的开展具有广阔的应用前景。
Abstract:
The construction of personalized learner model in the era of intelligent education is the key to transforming the intelligent education service model, solving the problem of educational equity and realizing differentiated teaching. From the development trend of learner model construction, big data and artificial intelligence technology will be the core elements to promote the development of learner modeling in the era of intelligent education, which can greatly promote the research progress of learner modeling. Through the theoretical trend, goal trend, data trend, feature trend and technology trend of learner modeling research supported by artificial intelligence, it is found that the construction of the learner model in the era of intelligent education needs to be guided by classical learning theories such as cognitiveism, humanism, and constructivism; realize the multi-level and all-round modeling analysis for learners; realize full-temporal multi-dimensional data acquisition using multi-modal sensing technology; construct a time-space fusion modeling analysis method to deeply explore the potential characteristics of the learner’s "knowledge, cognition, emotion, interaction" and achieve the deep analysis of the learner’s knowledge construction mode, cognitive development law and emotion mechanism. The construction of the learner model in the era of intelligent education has broad application prospects for intelligent resource supply, personalized teaching intervention, precise education management, intelligent evaluation system, and scientific education research.

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备注/Memo

备注/Memo:
基金项目:本文系国家自然科学基金面上项目“面向时空融合的学习者认知诊断理论及关键技术研究”(项目编号:61977033);教育部-中国移动科研基金项目“构建‘互联网+’条件下的新型课堂教学模式创新实证研究——以宁夏中卫市第三小学为案例”(项目编号:MCM20180609)的研究成果。
更新日期/Last Update: 1900-01-01