Abstract

Abstract The advancement of Chinese education informatisation construction has injected new vitality into the development of Chinese educational technology in the new era and brought new challenges to the development of Chinese educational technology. Nonlinear dissipative structure theory has been a necessary enlightenment for the development of education informatisation. Based on the theory of nonlinear dissipative structure, the paper explores the relationship between the theory and education and teaching. It constructs a diversified regression calculation model of the information-based teaching ecology. Finally, it points out the strategies and ways to apply the dissipative structure theory to improve information-based teaching.

Highlights

  • Big data and cloud computing technologies have realised extensive storage of knowledge and efficient processing of data

  • The teaching ecosystem has the dual functions of student development and teacher professional growth. It can be seen from the self-organising development law of informatisation teaching ecology that teachers’ innovation and community development are the keys to the transformation of informatisation ecology [4]

  • The cultivation of students in the information classroom is an obvious function of the information teaching ecology

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Summary

Introduction

Big data and cloud computing technologies have realised extensive storage of knowledge and efficient processing of data. Artificial intelligence technology allows people to discover the commonalities behind things more and better as well as realise the personalisation of services. Ecological research methods have the characteristics of highlighting systematicity, openness, synergy and nonlinear influence. It can better explain the relationship between elements in education informatisation, the mutual influence between elements and the path of system development. This research uses Prigogine’s dissipative system theory to explore the evolutionary laws. The thesis uses this theory to help the ecological deduction and innovative development of education informatisation in the new stage

Dissipative system theory
Self-organised information teaching ecological model
Ecological structure of informatisation teaching
Interaction between binary subsystems
Ecological diagnosis model and application
Establishment of positive and negative entropy index system
Calculation formula of positive and negative entropy
Analysis of empirical results
Change the organisational structure and lay a solid foundation for innovation
Create a research atmosphere and enhance the sense of innovation
Conclusion
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