| 常态化疫情防控下个性化混合式教学模式研究 |
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| 引用本文： | 冯 骥,魏 延.常态化疫情防控下个性化混合式教学模式研究[J].教育技术导刊,2021,19(12):64-66. |
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| 作者姓名： | 冯 骥 魏 延 |
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| 作者单位： | 1.重庆师范大学 计算机与信息科学学院；2. 教育大数据智能感知与应用重庆市工程研究中心，重庆 401331 |
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| 基金项目： | 教育部人文社会科学研究项目（18XJC880002）；重庆市科技局技术创新与应用发展重点项目（cstc2019jscx-mbdxX0061）；重庆市教委科技项目（KJQN201800539） |
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| 摘 要： | 在抗击新冠疫情（COVID-19）期间，在线视频、网络授课等教学手段成为教育教学的主要形式，线上教育相关技术和运行平台备受关注，发展迅速。因此，未来教育教学模式如何融合传统教育与互联网教育，取长补短以适应未来教学场景与技术，进而更高效地进行人才培养，成为抗疫后教育教学改革关键研究内容。针对该问题，以混合式教育为切入点，以个性化教育为目标进行相应教育模式探讨。基于个性化混合式教学模式分别针对教学手段、技术特点和软件平台等进行改进，探讨推进未来高效个性化教学的有效途径。
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| 关 键 词： | 教学模式 个性化教育 混合式教学 人工智能 |
| 收稿时间： | 2020-08-05 |
Research on Personalized Mixed Teaching Mode in the Context of the Normalization of Epidemic Prevention and Control |
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| FENG Ji,WEI Yan.Research on Personalized Mixed Teaching Mode in the Context of the Normalization of Epidemic Prevention and Control[J].Introduction of Educational Technology,2021,19(12):64-66. |
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| Authors: | FENG Ji WEI Yan |
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| Institution: | 1. College of Computer and Information Science， Chongqing Normal University；2. Chongqing Engineering Research Center of Educational Big Data Intelligent Perception and Application， Chongqing 401331， China |
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| Abstract: | In the process of combating the new coronavirus （COVID-19）， online video， online teaching and other teaching methods have become the main forms of education and teaching during the epidemic， and related technologies and operating platforms for online education have also been widely used. Concern and rapid development. Therefore， how to integrate the traditional education and the Internet education in the future education and teaching mode， balance the strengths and weaknesses to adapt to the future teaching scene and technology and train talents more efficiently becomes the key research content of the education reform after the epidemic. Aiming at the above-mentioned problems， this paper discusses the corresponding education model with mixed education as the starting point and personalized education as the goal. Personalized mixed teaching mode explores an effective way to complete the future highly efficient personalized teaching through the promotion of mixed teaching through the improved ideas of teaching methods， technical characteristics and software platforms. |
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| Keywords: | teaching mode personalized education mixed teaching artificial intelligent |
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