Evaluating the kit-build concept mapping process using sub-map scoring

Concept mapping allows learners to visually represent their knowledge by connecting nodes (concepts) and links (relations between concepts). The kit-build (KB) concept map framework enhances this process enabling recompose a from provided links, leading improved learning outcomes. Additionally, KB employs an automatic assessment method called “Full Map Scoring (FMS)”, which evaluates the learner’s understanding based on recomposed map. However, FMS only final product of recomposition activity, neglecting itself. This is potential limitation because different processes same result could reflect levels among learners. Therefore, it crucial incorporate analysis into learner assessment. To address issue, our research proposes new procedure termed “Sub-Map (SMS)”. A generally composed several sub-maps with each sub-map representing set meanings. We hypothesize that if comprehends meaning sub-map, will as continuous activity. SMS viewpoint continuity, overall score derived these evaluations. verify effectiveness SMS, we compared scores using data practical use framework. multiple linear regression confirmed was more precise predictor gain than score.