An Online Learning and Co-construction Platform for Fragmented Knowledge Based on Computer Technology

With the development of computer and artificial intelligence technology, the application of online learning has more conditions, and has the advantages of convenient resource information and real-time communication. Fragmented learning makes learning time more controllable and flexible, and has become a new learning method respected by young people. The purpose of this paper is to design a fragmented knowledge online learning co-construction platform based on cognitive impairment, and propose a fragmented learning product design strategy to improve the fragmented learning experience. Use a central mental model design approach. In order to clarify the behavioral path and mental model of users' fragmented learning and avoid the design scheme that may interfere with the user's initial experience evaluation, the fragmented learning experience evaluation index is used to score the usability of typical competing products before the experiment starts. The results show that the overall satisfaction score of competing products is 3.65, the overall satisfaction score of receiving goods is 4.23, and the scores of other indicators are higher than those of competing products. The online learning platform designed in this paper can effectively help learning efficiency.