Research on the Recommending Learning Model in the Intelligent Age

With the wide application of artificial intelligence technologies, such as “intelligent teaching and learning identification technology”, “learner learning analysis technology” and based on personalized learning, teaching and learning are undergoing profound changes. Guided by the “growth of people’s wisdom”, “Intelligent Education” uses artificial intelligence technology to create appropriate learning opportunities in education and form a precise, personalized and flexible education service system that can meet the development needs of students to the greatest extent. “Intelligent learning environment” emphasizes the use of data and algorithms to understand and serve students, including comprehensive perception of the learning place, flexible and innovative school layout, and deep interactive network learning space; “Intelligent learning style” advocates that students learn to solve problems while solving problems, and focuses on deep learning, interdisciplinary learning and boundaryless learning; “Intelligent education management” should break through the evaluation orientation of “efficiency first”, fully stimulate the vitality of schools, and build an education ecology with the participation of the whole society. This research paper is divided into four parts: the resource distributed learning mode in the intelligent era, the cloud computing learning behavior in the intelligent era, the knowledge big data learning mining in the intelligent era, and the intelligent service-oriented learning method in the intelligent era. Through in-depth analysis of the recommending learning model in the intelligent era, the paper predicts the future development direction of education and puts forward some countermeasures.