Digital Learning Ecosystem for Classroom Teaching in Thailand High Schools

Abstract

Digital learning ecosystem plays important roles for transforming teaching classroom into learning community. This article used a mixed method to (1) explore the teaching and learning activities and components of a digital learning ecosystem through eighteen in-depth interviews and six observation classroom teachings of three subjects (English, Mathematics, and Science), and (2) measure the factors influencing the success of the ecosystem from a survey of 350 teachers at high schools in Thailand under the KKU Smart Learning Project. The quantitative data is analyzed by using descriptive statistics, exploratory factor analysis, and confirmatory factor analysis; meanwhile, researchers used manually coding method for qualitative data to categorize data into themes and sub-themes. The findings revealed an ecosystem includes four core components: learning community, learning atmosphere, active learning, and teaching and learning support. However, it is important for junior high schools to clarify and improve seven factors affecting the development of this ecosystem to boost classroom transformation into learning community. This study is useful for policy makers, educators, and teachers to issue educational policies and objectives, invest infrastructure, design curriculum, and organize teaching activities to enhance the effectiveness of learning outcomes.