电化教育研究
中国教育类核心期刊 CSSCI来源期刊 RCCSE中国权威学术期刊

精品文章

您的位置:首页 >精品文章>

    人工智能助力教与学的创新 ——访美国教育传播与技术协会主席Eugene G. Kowch教授

    The Effects of Artificial Intelligence on Innovation of Teaching and Learning: An Interview with Professor Eugene G. Kowch

【作      者】:

郑兰琴, 张 璇, 曾海军


【关 键 词 】:

人工智能; 教学创新; 教育技术


【栏      目】:

理论探讨


【中文摘要】:

人工智能技术在教育领域的渗透越来越深入。人工智能到底对教与学有何影响,又如何助力教与学的创新呢?本文访谈美国教育传播与技术协会主席Eugene G. Kowch教授,分享了他在人工智能助力教与学的创新、大数据的分享与应用、利用技术促进大规模创新的独到观点。Eugene G. Kowch教授认为,人工智能技术将对现有的教学方法产生显著的影响和冲击。但是教师不会消失,教师的主要职责是教学设计,特别是设计高质量的学习活动和优良的学习环境;在人工智能技术的支持下个性化学习越来越普遍。尽管搜集大数据很困难,但是Eugene G. Kowch教授认为,基于小样本的数据也可以生成有意义的理论,并对教育领域大数据的分享和应用提出若干建议。最后,Eugene G. Kowch教授认为,要实现教与学的大规模创新,首先要培养并形成共同的兴趣,然后构建并维护教师人际网络,最后通过跨学科团队协作的方式促进大规模的创新与变革。


【英文摘要】:

Artificial intelligence (AI) has gained increasingly attention in the field of education. What is the impact of artificial intelligence on teaching and learning ? How can it contribute to the innovation of teaching and learning? In this paper, Professor Eugene G. Kowch, the president of Association for Educational Communication and Technology (AECT) in America, shares with us his unique opinions about how to use artificial intelligence to facilitate teaching and learning, how to share and apply big data, and how to adopt technologies to promote large-scale innovation as well. Professor Eugene g. Kowch believes that AI will have significant impacts on existing teaching methods. But teachers won't disappear. Instructional design will become the main responsibility of teachers, especially the design of high-quality learning activities and advanced learning environment. AI- supported personalized learning will be more and more popular. Though it is difficult to collect big data, Professor Eugene G. Kowch believes that data based on small samples can also generate meaningful theories, and he put forward some suggestions on the sharing and application of big data in education domain. Finally, Professor Eugene G. Kowch thinks that the mass reform and innovation of teaching and learning depends on cultivating and forming common interests, building and maintaining teachers' interpersonal network and realizing interdisciplinary team collaboration.


【下      载】:

人工智能助力教与学的创新 ——访美国教育传播与技术协会主席Eugene G. Kowch教授

网站首页 | 联系我们 | 意见建议| 杂志订阅| 管理部登录

版权所有 © 电化教育研究 CopyRight ©e-EDUCATION RESEARCH 2011-2018 电话:0931-7971823 地址:西北师范大学《电化教育研究》杂志社