Research On The Auxiliary Of E-learning

The development of computer network and multimedia technology has changed the way of our life and study. E-learning is becoming an important role to which we should pay attention. The primary E-learning is just a way that based on video and some other multimedia learning resource. With the deepening research and the public’s growing demand, artificial intelligence is applied to E-learning, which contains the birth of intelligent tutor system and helps to realize the individualized leaning to a certain knowledge level. However, with the progress of science and technology, E-learning is producing new tasks to people.Nowadays, most of the E-learning systems just pay attention to the promotion of intelligence, but lack the consideration of the learner’s emotional factors. The spatial separation between teachers and students is a huge problem of E-learning, which will cause the lack of communication during learning process and bring loneliness to learners. This will further influence of the persistence of learning enthusiasm and learning activities. The final result is the reduction of learning efficiency. In addition, the existing learning system also lacks suitability. Both the psychological and physiological state of a learner will change during learning process. The learning system can not make sure the real demand of the learner if we don’t consider these factors. Therefore, E-learning should not only understand learners’ personality, but also focus on the real time variation of learners’ status with purpose to take some measurement and active the enthusiasm of learning activities.Regarding the problems above, this paper propose an auxiliary assisted E-learning system on basis of ITS. The auxiliary can analyze both the learners’ static information and dynamic information, and then provide personalized learning plan to students with the integration of various characteristics. The function of auxiliary is independent. It relies on facial expression recognition to predict the learning style. Meanwhile, it can offer some emotional feedback and guidance strategy through emotional monitoring, with purpose to compensate the lack of emotion and monitoring and to improve the persistence and efficiency of learning activities.