An evaluation system of game-based learning based on data mining

This paper designs an evaluation system of game-based learning based on data mining according to the information acquisition of the quality of teaching, relevance, decision-making of game-based learning. A kind of improved CLOSET data mining algorithm is used in this system, which is used to analyze the generated data in teaching process for multi-level analysis. The experimental results show that: (1) comparing with the traditional Apriori algorithm, the improved CLOSET algorithm in this paper more directly expresses problem with neither redundancy and not breaking completeness, especially in long pattern extraction, its effect is more apparent; (2) the game-based learning has a higher degree of satisfaction than the cramming teaching nearly twice in the computer education aspect.