Research Synthesizes in Pro-environmental Behavior in Education: A Text Mining Approach

Abstract

There have been many academic investigations on promoting human behaviour in favour of environmental sustainability through education. Yet only a limited number of review papers are found which have summarized the key findings of this vital area. This study uses both bibliometric and text mining approaches to examine pro-environmental behaviour in education literature for the first time. Through bibliometric analysis, different networks in contemporary literature are highlighted. These networks reveal the influence of social welfare on pro-environmental behaviour, highlighting the value of human innate connection to raise environmental consciousness. Additionally, using posterior probability and Latent Dirichlet allocation (LDA), text mining identifies 12 different topic models by log-likelihood estimation, addressing a variety of topics related to environmental education and behaviour, such as how visitors and sustainability in environmental education affect pro-environmental behaviour, how education towards sustainability is provided in schools and universities, how the theory of planned behaviour is applied, how education and pro-environmental behaviour are related, and how sustainable education and travel are explored through different channels.

Keywords

• pro-environmental behaviour
• education
• text mining
• bibliometric analysis