An Evaluation on Interaction between APAS, TDD and Learning Style

We establish DICE system treated as a computing augmented training approach to support the classical lecture-based teaching. The result shows students can do more efforts on shaping their programming skills via practice in class.Furthermore, we developed the method dasiaTestDriven Developmentrdquo (TDD) into DICE introduced in software engineering. DICE TDD classes the training material from exploration to instruction into 16 levels supporting DICE to guide students coding both in programming skills and conceptual knowledge in a specific topic. DICE promotes learning performance up to 11.277% than non-DICE while DICE TDD works up the learning performance to 50.881% than the pure DICE learner, thus we can infer DICE TDD can increase the learning performance about 1.679 times than lectured-based teaching style in programming.We also figured out Kolbpsilas learning style has different significant on learning performance in TDD verse non-TDD. An adaptive learning model was proposed to adaptive students to different TDD training materials by their individual difference.