Description

Information literacy is a basic ability for college students to adapt to social needs at present, and it is also a necessary quality for self-learning and lifelong learning. It is an effective way to reveal the information literacy teaching mechanism to use the rich and diverse information literacy learning behavior characteristics to carry out the learning effect prediction analysis. Information literacy includes the basic knowledge and skills of information and information technology, the ability to use information technology to learn, cooperate, communicate and solve problems, as well as information awareness and social ethics. In the field of education big data, learning prediction is a very meaningful topic. Learning effect prediction is one of the core issues in the field of learning analysis. Its essence is to use various data generated by learners in the learning process, and use the method represented by machine learning to predict the learning effect. According to the prediction results, teachers can know the learners’ learning status in time and intervene in the learning process in time. Learning prediction is based on learning achievement, learning goals, and learning ability, and predicts learning effect and learning experience based on the characteristics of learning behavior. This puts forward differentiated intervention suggestions and management decision-making reference in the information literacy teaching process of college students, with a view to adjusting the information literacy teaching behavior, improving the information literacy teaching quality, optimizing educational decision-making, and promoting the sustainable development of high-quality and innovative talents in the information society. Our work involving research of the thinking and direction of the sustainable development of information literacy training proved to be encouraging.