An adaptive learning environment in DICE system with TDD model

We introduce an adaptive learning environment named DALM (DICE adaptive learning model) based on DICE test-driven development (TDD) model that was implemented in a parse-tree based automatic on-line grader. In our opinion, there are three variables in DALM. The individual differences (I) classify the learners into several groups. The training method (T) that equivalent to TDD model in DICE can be controlled by DICE system. The learning outcome (O) presents the learning performance of learners with an individual difference level after chosen TDD model. The learning outcome is related to the individual difference and the training method denotes as O = f (I, T). A model learning phase will rank the pair by learning outcome. The learner will be adapted to the best fit training method (T) by his/her individual difference (I) base on the result of model learning phase. We expect such an environment can adapt different kinds of learner to suitable DICE TDD teaching unit.