Abstract:

Developing modern distance learning for farmers is an important strategy to improve the level of rural informatization and eliminate the digital divide. Construction of a big data analysis platform for farmers' distance learning is of great significance for improving the service level and service capability of distance learning. Based on data accumulated from a farmers' distance learning platform over many years, this paper reviews, aggregates, standardizes, and establishes a unified data management system, by collecting and integrating user learning data and platform resource data on distance learning. A model database for statistical analysis, representation, and comprehensive evaluation of distance learning data is constructed. HQL and Spark SQL query analysis of data is realized, using Hadoop and Spark big data analysis technology. Through software engineering and database development technology, a big data visualization analysis and management system is realized; evaluation index system management, course organization evaluation, training resource evaluation, and teaching management evaluation are performed. Through multi-dimensional analysis and processing of users, learning resources and learning data, data analysis and trend analysis of distance learning development, and resource use and teaching resource quality are realized, to support decision making for the development of distance learning. The practical application of the platform for distance learning shows that the platform design and function design are reasonable, and that they effectively provide solid data support and significantly improve the service level and service capability of farmers' distance learning.

Key words: distance learning, big data, Spark, data management, evaluation model, visualization, agricultural big data, data platform