[1]陈凯泉,张春雪,吴玥玥,等.教育人工智能(EAI)中的多模态学习分析、适应性反馈及人机协同[J].远程教育杂志,2019,(05):024-34.
 Chen Kaiquan,Zhang Chunxue,Wu Yueyue,et al.Multi-modal Learning Analysis, Adaptive feedback and Human-Computer Cooperation of Artificial Intelligence in Education[J].Distance Education Journal,2019,(05):024-34.
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教育人工智能(EAI)中的多模态学习分析、适应性反馈及人机协同()
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《远程教育杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2019年05期
页码:
024-34
栏目:
前沿探索
出版日期:
2019-10-01

文章信息/Info

Title:
Multi-modal Learning Analysis, Adaptive feedback and Human-Computer Cooperation of Artificial Intelligence in Education
作者:
陈凯泉; 张春雪; 吴玥玥; 刘 璐
中国海洋大学 教育系,山东青岛 266100
Author(s):
Chen Kaiquan; Zhang Chunxue; Wu Yueyue; Liu Lu
Department of Education,Ocean University of China, Qingdao Shandong 266100
关键词:
教育人工智能智能教学系统多模态学习分析适应性反馈人机协同
Keywords:
Artificial Intelligence in Education Intelligent Tutor System Multimodal Learning Analysis Adaptive Feedback Human-computer Coordination
分类号:
G420
文献标志码:
A
摘要:
人工智能应用于教育在近两年获得持续关注,智能技术的应用层次逐步加深,教育人工智能的多模态学习分析、适应性反馈及人机协同这三大应用范畴愈加明晰。多模态学习分析侧重于对学习过程数据的全方位收集、分析与应用,适应性反馈指智能教学系统侧重于应用与学习者的学习风格、学习动机等相匹配的方式给学习者提供教学反馈,人机协同重点关注教师如何与智能教学系统协同为学生提供智能化精准教学。这三大应用范畴都在推进人机关系更加密切,教育人工智能日趋体现为混合增强智能的形态。
Abstract:
The application of artificial intelligence in education has been paid more and more attention in the recent years, the application level of intelligent technology has been deepened gradually, and the three application categories of educational artificial intelligence, such as multi-mode learning analysis, adaptive feedback and human-computer cooperation, have become more and more clear. Multi-mode learning analysis focuses on the omni-directional collection, analysis and application of learning process data. Adaptive feedback refers to the application of intelligent teaching system to provide pedagogical feedback to learners in ways that match learners’ learning style and learning motivation. Human-computer coordination focuses on how teachers cooperate with intelligent tutor system to provide intelligent and accurate instruction for students. These three application categories are embodied in the closer human-computer relationship, and the educational artificial intelligence is increasingly embodied into the form of hybrid-augmented intelligence.

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[5]贾积有.人工智能赋能教育与学习[J].远程教育杂志,2018,(01):039.[doi:10.15881/j.cnki.cn33-1304/g4.2018.01.004]
 Jia Jiyou.Artificial Intelligence Empowers Education and Learning[J].Distance Education Journal,2018,(05):039.[doi:10.15881/j.cnki.cn33-1304/g4.2018.01.004]

备注/Memo

备注/Memo:
基金项目:本文系国家社会科学基金项目《基于E-SCIENCE的新型科研范式研究》(15BTQ057)的研究成果。
更新日期/Last Update: 1900-01-01