# Innovation diffusion process of higher education informatization based on Lotka-Volterra model

## TL;DR

This paper uses the Lotka-Volterra model to study how educational informatization spreads in universities and its effects on teaching.

## Contribution

A novel framework integrating the Lotka-Volterra model to analyze the diffusion dynamics of educational informatization innovation.

## Key findings

- There is a positive correlation between the competition coefficient and the innovation diffusion effect in university education informatization.
- Reducing the diffusion speed gap among universities promotes balanced development and improves innovation diffusion effects.
- The impact of informatization diffusion on teaching content and forms is stable and reliable, with Cronbach’s α values above 0.7.

## Abstract

In order to quantify the diffusion speed, influence scope and change trend of educational informatization innovation in colleges and universities, this paper studies the diffusion process of educational informatization innovation in colleges and universities based on Lotka-Volterra model. A research has constructed an framework that includes system input, processing, upgrading, and output: in the system input stage, discourse analysis methods are used to reveal the antecedents of educational informatization innovation; During the system processing phase, analyze the interaction between these antecedents to clarify the mechanism of innovation implementation; During the system upgrade phase, the Lotka Volterra model is integrated to quantitatively analyze the dynamic characteristics of innovation diffusion; In the system output stage, evaluate the specific impact of innovation diffusion on teaching content, teaching forms, and other aspects based on the analysis results. The empirical results show that there is a positive correlation between the competition coefficient and the innovation diffusion effect of university education informatization; Narrowing the gap in the diffusion speed of educational informationization innovation among colleges and universities can promote the balanced development of educational informationization and improve the effect of educational informationization innovation diffusion in colleges and universities; The Cronbach’s α values of teaching content, teaching form and other impact type variables are higher than 0.7, indicating that the impact of the diffusion of information technology in higher education on these aspects is stable and reliable.