Cognitive visual support design for efficient data analytics learning based on meaningful reception learning theory

Abstract

Among the main issues in data analytics learning relate to in-depth understanding and concept integration. Meaningful reception learning theory demonstrates cognitive visual tools to organize knowledge by linking new information with existing concepts in strong cognitive structure. This study describes essential characteristic in data analytics and request a cognitive visual model to appreciate literature performance. The study applies meaningful reception learning theory by contributing users with three character of instructional arrangement as visual cognitive support to build strong understanding structure i.e. active, collaborative and constructive. The model is expected to help instructors in systematically constructing data analytics component for efficient learning.