A Next-Generation Computing Engine for an Embedded IoT Systems-Based Intelligent English Classroom Learning System

Abstract

In order to improve the effect of intelligent English teaching, this paper explores the scientific connotation of the current intelligent classroom and the construction ideas of information technology courses based on the intelligent classroom supported by electronic schoolbag equipment. Moreover, algorithm analysis is performed on the next-generation computing engine of the Internet of Things platform. Based on the characteristics of a large number of intelligent heterogeneous network elements in the perception layer of the Internet of Things and the need for real-time processing of the perception data of the Internet of Things front-end, a ubiquitous storage model of the Internet of Things and a layered expansion ubiquitous storage strategy are proposed. Moreover, through in-depth research on the requirements and query technology of multi-objective decision-making applications in the Internet of Things, this paper proposes an efficient query method for multi-dimensional perception data. In addition, this paper constructs an English classroom learning system and conducts systematic evaluation through experimental teaching. The research results show that the teaching system constructed in this paper is effective.