Semi-Automatic Concept Map Generation Approach of Web-Based Kit-Build Concept Map Authoring Tool

Abstract

Apart from contributing to students’ learning outcomes, learning activities with digital concept maps were useful, fun, and engaging. Kit-Build concept map is a learning framework that incorporated concept map recomposition as its essential activity. Students learn through recomposing digital concept maps from a set of teacher’s concept map components; hence, a teacher concept map is essential in Kit-Build. In composing a teacher concept map of Kit-Build, teachers should reflect the learning context and strategy, embody their purpose and intention, students’ understanding level, and focus questions in the forms of concept maps. Automatic generation approach produces general concept maps that are perceived to be unsuitable in corresponding said reasons; thus, a semiautomatic approach becomes preferred. The Kit-Build concept mapping tool has been extended with a support function that semi-automatically generates concept maps with Concept Map Mining approach. The design of the extraction and summarization phase of the concept map generation process, which suggests the extracted concepts and proposition triples to the teachers, is presented in this study. However, the accuracy of the support system’s suggestions has yet to be discovered before the tool being considered to be used in a real learning environment of EFL reading comprehension with Kit-Build and therefore investigated in this study. The result suggested that the proposed Kit-Build concept map authoring support tool is better used to refine a concept map in more detail.