Intelligent Machine-Driven Educational Knowledge Production and Its Sinicization
Driven by the rapid development of artificial intelligence technologies,the paradigm of knowledge production in education has been transformed into a new trend that integrates human wisdom and artificial intelligence to jointly advance the development of educational knowledge system.Intelligent machines are now involved in the entire process of educational research,enabling machine-driven knowledge production based on combined technologies and machine mechanism,thereby forming a mode of educational knowledge production distinct from that of humans.In this context,educational researchers should leverage the research capabilities of machines to responsibly engage in educational knowledge production,address the limitations of machine research to conduct knowledge production with care,develop advanced research capacities for high-quality knowledge production,and guide the research directions of machines for reflective knowledge production.Under the drive of intelligent machines,the transformation of knowledge production paradigm in education has established a composite and intelligent human-machine research community,creating a digitalized domain of educational problems and generating new educational knowledge.Its innovation manifests in three modes of knowledge production:converting educational reality data,constructing virtual mirrors of the educational world,and linking and generating educational knowledge.In light of this,Chinese educational researchers are encouraged to actively explore and practice this paradigm to advance autonomous knowledge production in pedagogy,under the framework of a"China-focused","China-led"and"China-defined"approach,to advance the construction of an autonomous knowledge system in Chinese pedagogy,thereby achieving the high-quality development of Chinese pedagogy.
Educational Knowledge ProductionEducational ResearchIntelligent MachinesAutonomous Educational Knowledge System
NETL
NSTL
万方数据
