[1]陈凯泉,沙俊宏,何 瑶,等.人工智能2.0重塑学习的技术路径与实践探索——兼论智能教学系统的功能升级[J].远程教育杂志,2017,(05):040-53.[doi:10.15881/j.cnki.cn33-1304/g4.2017.05.004]
 Chen Kaiquan,Sha Junhong,He Yao,et al.The Technological Path and Practice Exploration of Reconstructing Learning based on Artificial Intelligence (AI) 2.0:Also on the Functional Upgrade of Intelligent Tutoring System[J].Distance Education Journal,2017,(05):040-53.[doi:10.15881/j.cnki.cn33-1304/g4.2017.05.004]
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人工智能2.0重塑学习的技术路径与实践探索——兼论智能教学系统的功能升级()
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《远程教育杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2017年05期
页码:
040-53
栏目:
前沿探索
出版日期:
2017-09-20

文章信息/Info

Title:
The Technological Path and Practice Exploration of Reconstructing Learning based on Artificial Intelligence (AI) 2.0:Also on the Functional Upgrade of Intelligent Tutoring System
作者:
陈凯泉; 沙俊宏; 何 瑶; 王晓芳
中国海洋大学 教育系,山东青岛 266100
Author(s):
Chen Kaiquan; Sha Junhong; He Yao; Wang Xiaofang
Department of Education,Ocean University of China, Qingdao Shandong 266100
关键词:
人工智能AI智能教学系统学习分析自然语言理解虚拟课堂跨媒体智能
Keywords:
Artificial intelligenceAI Intelligent tutoring system Learning analysis Natural language understanding Virtual classroom Intermedia intelligence
分类号:
G40-057
DOI:
10.15881/j.cnki.cn33-1304/g4.2017.05.004
文献标志码:
A
摘要:
人工智能经历六十余年的发展积累起强大的技术基础,近十年来,人工智能走过计算智能、感知智能之后,正在迅速向认知智能迈进,人工智能从仅被精英小众群体认知与使用的1.0时代走进被各行各业大量应用的2.0时代。伴随自然语言理解、表情识别、教育大数据、虚拟现实及机器人等技术的飞速发展与应用,引入这些技术之后的新型智能教学系统正在对知识的表征形式及学习过程实施智能化改造与重塑,并即时捕捉与感知、分析学习者的学习状态,自动测评、学习分析、情绪感知、仿真教学及智能陪伴等成为智能教学系统的应有功能。未来的智能教学系统将基于大数据智能与跨媒体智能协同支撑精准的学情判断和科学的学习路径推荐,教育中的人工智能将走向人机协同的增强智能。
Abstract:
Artificial Intelligence (AI) has accumulated strong basis of the technology through more than 60 years. In nearly a decade, AI has been stepping into Cognitive Intelligence rapidly after Computational Intelligence and Perceptual Intelligence in sequence. AI 2.0 has been applied in every field of life instead of AI 1.0 which was just used and recognized by elite minorities. With the rapid development and application of technologies including natural language understanding, facial expression recognition, educational big data, virtual reality and robotics, the new intelligent tutoring system involved these technologies transforms and reconstructs the manifestation of knowledge and learning process intelligently. Besides, the function of the new intelligent tutoring system should consist of capture and perception immediately, analysis of learner’s state, evaluation automatically, learning analytics, emotion perception, simulation teaching, intelligently accompany, and so on. In the future, the new intelligent tutoring system based on big data intelligence and intermedia Intelligence is likely to support precise learning judgment and scientific learning path recommendation, and the artificial intelligence in education will make for human-machine-cooperative augmented intelligence.

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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)、教育部人文社会科学研究项目“高校虚拟科研组织的组建模式与运行机制研究——基于协同创新的视角”(14YJC880005)和中国海洋发展研究会基金项目“海洋科学研究中的范式转型及对策研究”(CAMAJJ201605)的研究成果。
更新日期/Last Update: 2017-09-21