"New Empiricism"Pointing to Complexity:Research on the Paradigm Evolution and Innovation of Educational Research
In the data-driven era of the Internet,paradigm innovation is necessary for educational research to discover patterns of complexity in education and propel educational transformation.Data-intensive research in edu-cation represents a new research paradigm that might be termed New Empiricism.Ontologically,New Empiri-cism posits that data exists in a distributed"experience"form.Epistemologically,it asserts that these data are ex-periential,constrained by simple rules,requiring modeling of data relationships to uncover unrecognized funda-mental patterns.Methodologically,the focus is on complex system modeling,aiming to deeply understand the ele-ments and agents at different levels in educational complex systems,their interactions,and evolutionary mecha-nisms.This methodology also guides educational research in collecting procedural data and finding appropriate ways to reveal how collective complex features emerge.To achieve the goal of research paradigm innovation,ed-ucational research needs to actively embrace interdisciplinary collaborations,such as human computation and simu-lation,so as to generate authentic and rich research data in educational practice.Additionally,it should be able to simulate and model the evolution of educational systems over extended time scales.Educational data-intensive research under the New Empiricism paradigm should not blindly endorse scientism or simply apply research para-digms from the natural sciences.Instead,it should adopt a more inclusive logic of abduction,induction,and de-duction to advance our understanding of complex educational phenomena,and reflect the academic confidence of innovation in educational research paradigms.
research paradigmcomplexityNew Empiricismdata-intensive research
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