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The paper aim is to come up with methodology for performing video learning data history of learner's video watching logs, video segments or time series data in accordance with learning processes via mobile technologies. To reach this goal, it is introduced a theoretical method of sequential pattern mining specialized for learning histories in identifying the most important or difficult learning. Based on this method, it is designed a model for understanding and learning the most difficultdoi:10.3991/ijim.v12i4.9223 fatcat:abxu3gexsnettlffw7nuuo5vgq