How to Build Future School: Prospective Analysis and Practical Enlightenment of Application Scenarios of AI in Education

doi:10.16382/j.cnki.1000-5560.2022.09.005

Abstract

Abstract:

From the perspective of time change, the development of learning technology has an impact on the state, operation mechanism and cultural atmosphere of schools in different social and historical periods. Therefore, in the case of artificial intelligence as the main driving force of future social development, what kind of future schools will appear and how we should effectively build future schools are important topics of current education field. In order to respond to this problem, using the basic ideas of future research method, the application scenarios of future school education governance driven by artificial intelligence are prospectively analyzed. This paper analyzes the characteristics of core elements, including structure and context of future school driven by artificial intelligence. On this basis, the construction path of future schools is proposed. First, under the innovative idea of learning-drive logic, we should pay attention to the practical problems in different educational scenes. Second, based on the design-based research methods, continuous improvement method is used to promote the integration artificial intelligence in education. Third, under the interdisciplinary and institutional cooperation, sustainable development mechanisms should be explored to help the construction of future schools.

Key words: artificial intelligence, future school, future research method, learning science, education governance

Huiying Cai, Haixia Dong, Xu Chen, Xiaoqing Gu. How to Build Future School: Prospective Analysis and Practical Enlightenment of Application Scenarios of AI in Education[J]. Journal of East China Normal University(Educational Sciences), 2022, 40(9): 45-54.

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