Research on the Architecture of Intelligent Teaching Platform Based on Educational Neuroscience and Humanism Perspective

The design and construction of intelligent teaching platform need to be considered from the perspective of educational neuroscience and the people-oriented view, so as to achieve better learning results, such as the influencing factors of implicit learning, the regulation of learners’ emotion, necessary repetition and intensive training, the combination of implicit learning and explicit learning, the creation of a good peripheral learning environment, the practice of multiple perception teaching, the use of diversified teaching, the simulation of situational teaching, formative evaluation and the generation of feedback. The characteristics of people-oriented intelligent teaching technology are described, and the basic architecture of intelligent teaching platform and the process architecture of learner model are proposed. It shows that the intelligent teaching platform is a perceptual, coordinated and adaptive ubiquitous network connecting people and things, people and people, and things and things. It always takes human needs as the starting point, human personality as the guidance and human development as the goal. It is needed by the era of teaching reform and will usher in a new education ecology created by emerging science and technology.