Research on Construction of High-Quality Application-Oriented Talent Cultivation System for Internet of Things Engineering: Based on Educational Psychology

Abstract

High-quality talent cultivating Internet of Things (IoT) Engineering is the basis for the rapid development of IoT technology. To train high-quality application-oriented IoT technical talents, guided by educational psychology, this article conducts in-depth research; analyzes the characteristics of IoT Engineering; makes professional talent cultivating programs and cyclical adjustment plans; builds a high-quality teaching system based on the professional knowledge system of the IoT; explores the “spiritual level” and “psychological level” characteristics of teachers and students in teaching; highly integrates “Industry-University-Research-Competition” from the perspective of students, teachers, and colleges; infiltrates positive psychological cues appropriately; formulates the construction method of the “student teaching assistant” auxiliary system to enhance the efforts to promote learning by learning; and finally innovates the talent cultivating system for the IoT Engineering. The implementation results show that the students trained by this system have a solid foundation of knowledge related to IoT Engineering and strong engineering practice application, adaptability, and innovation ability.

Research on the mechanism of government-industry-university-research collaboration for cultivating innovative talent based on game theory

“…It effectively incorporates positive psychological cues and develops the “student teaching assistant" auxiliary system to enhance learning promotion efforts. Ultimately, it aims to innovate the talent cultivation system [ 23 ]. Additionally, companies have the option to establish direct collaborations with universities and their affiliated research institutions.…”

“…In these papers, numerous scholars have examined the issue of university talent cultivation from various perspectives. However, while a few studies [ [22] , [23] , [24] ] have explored university talent cultivation from the IUR perspective, they have not analyzed the role of the government in fostering talent through IUR collaboration, nor have they examined the influence of the interests of each main stakeholder on the development of collaborative talent. Therefore, to address this research gap, this paper aims to investigate the application of evolutionary game theory in describing the long-term dynamic process of multiplayer games within the context of GIUR collaborative talent cultivation, taking into account the constraints of limited rationality.…”