Based On Genetic Algorithm Personalized Data Structure Courses Online Learning System

With the rapid development of internet technology personalized service of the distance education has become a mainstream trend of the online learning. The greatest advantage is the ability in a variety of information network platform to meet the individual needs of different users. Critical issues that online learning faces is that how to satisfy the current Web environment, statistics and analysis of key words when the learner to access the page data and information to identify the individual characteristics of different users, and according to these characteristics predicted for the learning method, the personalized recommendation module is developed. The works are organized as follows:(1)The background and source of the current online learning systems and some problems at home and abroad the status of personalized online learning and development were analyzed, at the same time on individualized learning and individualized instruction are summarized in On-line learning personalized service functions of the requirement analysis and feasibility analysis, personalized genetic algorithm in the application of information extraction, and the idea of genetic algorithm and characteristics are discussed.(2)Data structure was chosen as an application example, the genetic algorithm is given the individual learner strategies and detailed feature extraction process. In tracking the user browsing the web to extract the keywords proposed based on a personalized page settings, online Q & A, online forums and online testing, especially in online testing, test management, automatic generation of theory is proposed based on the learner virtual online exam requirements. It provided a personalized recommendation feature of data structure online learning platform for the learners.(3)The used of relevant technologies in detail on the development of the system were discussed. The overall system structure of a three-tier B / S structure mode, front to C #, ASP.NET dynamic web scripting language technology, back-end database using SQL Server 2005, the VS2005 development platform for the integration to achieve a personalized based on genetic algorithm of online learning systems.(4) The genetic algorithm and other related technology to the online learning system were applied. We given the idea of detailed design of the system, introduced the main functional blocks and given instructions assist in the implementation phase a detailed description, and given the main web page. As data structure for example, an online learning system was developed. The repeated tests showed that the system is stable. And the functional modules have also been realized.In this paper a genetic algorithm was presented based on extraction of personalized information. The results showed that the algorithm has the stronger robustness and applicability. The system generally has aesthetics, universality, easy maneuverability, compatibility and other advantages. This ensurs the overall system modularity and scalability.