Resource Sharing Platform Based on Machine Learning and Data Fusion Technology

Abstract

Artificial intelligence can change the traditional teaching methods to assist teaching by evaluating in the process of teaching, and can also provide personalized services to guide students in the learning process, thus improving the learning efficiency and education quality and comprehensive quality of teachers and students. Therefore, this paper proposes to build an ER sharing platform and its supporting software platform based on machine learning (ML) and data fusion (DF) technology (TensorFlow) to promote the application in education and teaching. This paper realizes resource sharing among schools through the platform. Using big data technology to provide decision support for teaching and learning, improve teaching quality and teaching effectiveness to achieve effective cultivation of students' personalized development standards. Based on the data collection and application system, a new and applicable big data system for education and teaching is constructed. It achieves the goals of sharing educational resources (ER), helping teachers to carry out flexible and effective educational activities and improve teaching efficiency according to students' different thinking patterns, and improving the level and quality of education: comprehensively enhancing teachers' and students' interest in learning and awareness of methods and comprehensive quality.