As network multimedia technology has advanced rapidly, video communication has made enormous strides and has been used in many educational industries. The use of educational video communication is a simple, effective, and convenient method of communication. A fast and energy-efficient blockchain clustering algorithm is proposed to pick the desired cluster head in software-defined networking (SDN). This research suggests using an adaptive resource allocation method and secure communication networks to improve the quality of instructional video transmission. To better educational management resources (EMR), this research suggests using a particle swarm algorithm (PSA). Using the PSA-EMR, an extended particle swarm optimization model suggests a low-complexity solution for adaptive central and distributed resource allocation in communication networks. The method improves the productivity and accuracy of the teaching team. Finally, a cost-effective digital framework for collecting and transmitting high-quality instructional content was developed to conclude the research.