This study developed an inheritance coding with Gagné-based learning hierarchy approach to building systems for assessing mathematics skills and diagnosing student learning problems. The proposed Gagné-based learning hierarchy approach combines Gagné learning hierarchy theory with an inheritance coding approach. First, Gagné learning hierarchy theory is used to generate test questions and learning path diagrams for a skills assessment system. To assess learning achievement, an inheritance coding approach is used to encode the test questions according to learning hierarchy paths. The analysis, design, development, implementation, and evaluation design model is used throughout the process of developing the assessment system. Statistical analyses of the test questions for assessing student learning achievement included expert validity, internal reliability, test–retest reliability, and parallel-form reliability. System performance questionnaires were also designed to survey the opinions of the students regarding the mathematics skills assessment system. The internal reliability of the overall questionnaire was also calculated. The experimental practical application of the assessment system, developed by the Gagné-based learning hierarchy approach, showed that it can accurately diagnose student learning barriers and provide learning suggestions for students and teachers.
Inheritance Coding with Gagné-Based Learning Hierarchy Approach to Developing Mathematics Skills Assessment Systems
