Research on Quality Evaluation Method of Digital Teaching Resources Design Capability Based on Cloud Computing

Abstract

To improve the intelligent evaluation ability of digital teaching resource design ability and optimize the quality evaluation model, a cloud computing-based digital teaching resource design capability quality intelligent evaluation method was proposed. Digital data collection and statistical analysis methods were used for digitization. Teaching resource design capability quality statistical sample sequence sampling, using digital teaching resource design capability quantitative evaluation method in cloud computing environment, constructing big data distribution model of digital teaching resource design ability quality statistical sample sequence, combined with quantitative regression analysis method for big data characteristics Extraction and information regression analysis, constructing the feature extraction model of digital teaching resource design ability quality statistical analysis, taking the distribution status of teaching resources as the evaluation object, combined with quantitative recursive analysis method to carry out adaptive evaluation of digital teaching resource design ability quality statistical sample sequence. Adopting bus design and sensing quantitative tracking and recognition technology to carry out the system construction of digital teaching resource design capability quality, using local bus control method to carry out digital teaching resource design ability quality intelligence Estimated load instructions, to achieve design evaluation system. The test results show that the design of digital learning resources designed to assess the ability of intelligent quality assessment system has good performance, good intelligence.