Online art teaching course design based on 5g technology and big data assistance and its impact on instructional delivery

This paper constructs the SAM agile iterative model according to the direction of online art course design, firstly by collecting art teaching related information and initiating the cognitive system of art teaching, and then entering into the iterative design phase to accomplish the development goal of the online art course incrementally through continuous iteration.Finally, after the double iteration phase, the software process enters the delivery phase to complete the design of the online art teaching course.The effect of the online art teaching course and its impact on delivery are analyzed in conjunction with the dynamic key-value memory network model based on the forgetting curve.The results of the memorization ability of art knowledge experiments in the pre-test have a mean value of 35.259, and the post-test has a mean value of 53.1254, while the Sig value of the paired test is 0.000, 0.000<0.05,which indicates that the effect of using the online course for art learning based on the Ebbinghaus forgetting curve is more significant on the learning of art knowledge than other applications.The regression results of the full sample model showed that overall instructors' use of big data aids for online art instruction significantly affects instructional delivery, t=1.245,P=0<0.05, which is significantly positive at the 1% level, indicating that the more adequate the use of these instructional methods, the higher the probability that students will rate their satisfaction with the instructional delivery.