The construction of innovative computer practical training education model in the environment of multiple intelligences Internet of Things

Abstract

This paper takes the application of workflow technology in a multi-smart IOT message-driven practical training execution system as the research background, analyzes the current situation and problems of the practical training execution system, and reconstructs and optimizes the original on-site practical training model and business methods according to the future development needs of the practical training execution system. This study draws on the theoretical perspective of the computer knowledge body to deeply recognize and understand the connotation of computing ability from the levels of knowledge, skills, and attitude, forms a basic understanding of computing ability through literature combing, and refines the core elements of computing ability through a combination of enterprise case study, content analysis, and questionnaire survey, strives to form a more systematic and in-depth understanding of the connotation and elements of computing ability. It also provides a reference for the clarification of computing ability training objectives of computer science teachers under the trend of intelligence. Facing the enhancement of computing ability of engineering students majoring in computer science at the undergraduate level, the objectives of computing ability cultivation are clarified, the key points of computing ability cultivation mode are refined from three levels: curriculum design, teaching operation, management, and control, and three typical computing ability cultivation modes embedded in undergraduate computer education are constructed: knowledge module combination mode, computing context experience mode, and intelligent industry-leading mode. The operational strategies and implementation paths of the models are discussed in depth. This study emphasizes that, based on the analysis of the characteristics of the trend of intelligence, the computing ability cultivation model is not static.