| 当现实逼近想象:人工智能时代预见未来教育研究 |
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| 引用本文： | 顾小清.当现实逼近想象:人工智能时代预见未来教育研究[J].开放教育研究,2021,27(1):4-12. |
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| 作者姓名： | 顾小清 |
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| 作者单位： | 华东师范大学 教育学部教育信息技术学系,上海200062 |
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| 基金项目： | 2019年度国家社科基金重大项目"人工智能促进未来教育发展研究" |
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| 摘 要： | 人工智能使想象正成为现实,未来研究方法论是对未来的想象和预期的扩展。本文运用未来研究方法论,从未来想象、未来社会、未来知识生产、未来学习、创造中的未来五个方面对未来教育发展蓝图进行描述、预测、探索与解释,审视与省察未来人工智能时代教育研究的行动措施。未来想象通过科幻故事探索和理解未来高科技实践的应用场景,人与人以及人与外界环境的互动过程。人工智能技术是经济社会发展的核心动力,对未来社会分工、劳动力市场以及人才结构变革带来全新冲击。未来知识生产自动迭代、科学共识的建立更为高效;未来知识传播多模态立体化、超越学科界限;未来知识进化呈现碎片化及适应性。未来学习将呈现个性化、自适应以及终身学习的新样貌。创造中的未来应平衡人与人工智能技术的关系,理性统合组织、文化、人员、环境,努力打造自适应的教育生态圈。本研究旨在厘清未来教育的科学走向与规律,勾勒符合人工智能时代的未来教育应用蓝图。
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| 关 键 词： | 人工智能 未来教育 未来研究方法论 |
When Reality Approaches Imagination:
A Future Research on How AI will Reform Education |
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| GU Xiaoqing.When Reality Approaches Imagination:
A Future Research on How AI will Reform Education[J].Open Education Research,2021,27(1):4-12. |
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| Authors: | GU Xiaoqing |
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| Institution: | (Department of Educational Information Technology,East China Normal University,Shanghai 200062,China) |
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| Abstract: | Artificial intelligence is making the imagination a reality.Future research methodology is an extension of future imagination and expectations.The future research methodology is used to describe,predict,explore,and explain the future education development blueprint from five aspects:future imagination,future society,future knowledge production,future learning,and future creation,and review and examine the action measures of future education research in the era of artificial intelligence.Future imagination explores and understands the interaction process between people and the external environment in future high-tech practical application scenarios through science fiction stories.Artificial intelligence technology is the core force of economic and social development.It provides a new interpretation of the future social division of labor,labor market,and talent structure reform.Future knowledge production is automatically iterated and interactive with high efficiency;future knowledge transmission dynamic evolution,transcending disciplinary boundaries and popularization;future knowledge evolution multimodal fusion,knowledge particle fragmentation,and adaptability.Future learning will achieve a new look of personalization,adaptation,and lifelong learning.The future in creation should balance the relationship between people and artificial intelligence technology,rationally integrate the organization,culture,personnel,and environment,and strive to create an adaptive education ecosystem.This study uses future research methodology to clarify the scientific trend and laws of future education,and outline the blueprint for future education application in the era of artificial intelligence. |
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| Keywords: | artificial intelligence future education future research methodology |
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