Research On Learning Resources Personalized Service Strategy Based On Learning Analytics

In the "Internet +" era,digital learning resources have an irreplaceable role in education innovation and education reform.While technology promotes educational innovation,the majority of learners is putting forward new requirements and challenges for the individuation,intelligence and precision of digital learning resources.What's more,the demand and attention on personalized services for digital learning resources is also growing.With the rapid development and actual landing of technologies,such as cloud computing and big data,learning analysis can be used as a starting point to solve the problem of dislocation between learning resources and learners,which is providing new research ideas and perspectives.This study mainly focuses on the large amount of data generated during the use of teaching aids in the H Publisher,and the study of personalized service strategies for learning resources based on learning analysis was conducted.First,the research framework was determined by collating,researching and analyzing a large amount of literature related to learning analysis and learning resources,which lays a theoretical foundation for the study of personalized service strategies for learning resources based on learning analysis.Then,based on the theoretical basis,design-based research methods were used to structure the personalized service strategy and design the specific process,providing direction for data analysis and design of personalized service strategies.Finally,more than 1.4 million learning data collected and stored by the HPress from real-world situations and natural learning is taken as source of data.Software engineering methods were used to rationally analyze and dig deeper into the data.And collaborative filtering algorithm was applied to build recommendation models to generate candidate set of coarse-grained resources;In addition,machine learning related technologies were applied to analyze learners' personalized learning requirement,providing the basis for proposing and improving learning resource personalized service strategies by combining the coarse-grained resource sets.A prototype of a personalized service strategy application system was designed and developed,which provides support for optimizing the functions of the digital learning resource platform from the practical level.Research indicates: learning analysis technology can provide new perspectives and methods for the presentation,improvement and optimization of learning resources personalized service strategies.Based on the personalized service strategy,the suitable resource content and quantity were recommended to meet the needs of learners according to individual learners' learning frequency,learning time,learning path,learning capacity and other personalization laws,certainly,the interval between the learner's learning frequency and time period were taken into consideration.On the one hand,it reduces the irrational use of digital learning resources,saves learners' time costs and improves learning efficiency;On the other hand,it provides an effective reference for the digital learning resources can better serve learners in the "Internet +" era.