This paper discusses the optimization strategy of education and teaching quality assurance systems in applied colleges and universities under the background of digital intelligence.It first summarizes the relevant the...This paper discusses the optimization strategy of education and teaching quality assurance systems in applied colleges and universities under the background of digital intelligence.It first summarizes the relevant theories of digital intelligence transformation and analyzes the impact of digital intelligence transformation on higher education.Secondly,this paper puts forward the principles of constructing the quality assurance system of applied colleges,including strengthening the quality assurance consciousness,improving teachers’digital literacy,and implementing digital intelligence governance.From the practical perspective,this paper expounds on strategies such as optimizing educational teaching resource allocation,constructing a diversified evaluation system of teaching quality,strengthening the construction and training of teaching staff,and innovating teaching management methods.Specific optimization measures are put forward,such as improving policies,regulations,and system guarantees,strengthening cooperation between schools and enterprises,integrating industry,school,and research,building an educational information platform,and improving the monitoring and feedback mechanism of educational quality.展开更多
The rapid development of big data,artificial intelligence(AI),and blockchain technology makes the digital intelligence transformation of an enterprise possible.Based on the case study of Haier Group,this paper attempt...The rapid development of big data,artificial intelligence(AI),and blockchain technology makes the digital intelligence transformation of an enterprise possible.Based on the case study of Haier Group,this paper attempts to address the rationales behind building up the capability of digital intelligence transformation of enterprises by means of the traditional Chinese idiom,“knowledge-action oneness.”The result indicates that the learning process is an important factor for an enterprise to form its digital intelligence transformation capability.It is a process of mutual coupling between digital knowledge and digital actions.As a result of such a unity,different learning subjects form their corresponding digital intelligence transformation capability through their own learning process of mutual coupling of knowledge and action:Leaders form digital strategic capabilities through the mutual coupling of strategic knowledge and actions;employees form digital absorption capabilities through the mutual coupling of scenario-based knowledge and actions;teams form digital integration capabilities through the mutual coupling of integrated knowledge and actions;and the whole organization forms digital,eco-systemic capabilities through the mutual coupling of institutionalized knowledge and autonomous actions.Such a multi-level digital intelligence transformation system requires efforts from everyone in the enterprise.展开更多
基金2023 Annual Funded Projects for Educational Scientific Research at Xuzhou University of Technology“Construction and Practice of the Quality Assurance System for Education and Teaching in Applied Undergraduate Colleges under the Background of Digitalization”(YGJ2345)。
文摘This paper discusses the optimization strategy of education and teaching quality assurance systems in applied colleges and universities under the background of digital intelligence.It first summarizes the relevant theories of digital intelligence transformation and analyzes the impact of digital intelligence transformation on higher education.Secondly,this paper puts forward the principles of constructing the quality assurance system of applied colleges,including strengthening the quality assurance consciousness,improving teachers’digital literacy,and implementing digital intelligence governance.From the practical perspective,this paper expounds on strategies such as optimizing educational teaching resource allocation,constructing a diversified evaluation system of teaching quality,strengthening the construction and training of teaching staff,and innovating teaching management methods.Specific optimization measures are put forward,such as improving policies,regulations,and system guarantees,strengthening cooperation between schools and enterprises,integrating industry,school,and research,building an educational information platform,and improving the monitoring and feedback mechanism of educational quality.
基金This paper is supported by Project of the National Natural Science Foundation of China“Research on the Formation and Evolution Mechanism of Digital Entrepreneurial Ecosystem”(No.71972086)Jilin University Doctoral Interdisciplinary Science and Technology Funding Scheme(No.101832020DJX015).
文摘The rapid development of big data,artificial intelligence(AI),and blockchain technology makes the digital intelligence transformation of an enterprise possible.Based on the case study of Haier Group,this paper attempts to address the rationales behind building up the capability of digital intelligence transformation of enterprises by means of the traditional Chinese idiom,“knowledge-action oneness.”The result indicates that the learning process is an important factor for an enterprise to form its digital intelligence transformation capability.It is a process of mutual coupling between digital knowledge and digital actions.As a result of such a unity,different learning subjects form their corresponding digital intelligence transformation capability through their own learning process of mutual coupling of knowledge and action:Leaders form digital strategic capabilities through the mutual coupling of strategic knowledge and actions;employees form digital absorption capabilities through the mutual coupling of scenario-based knowledge and actions;teams form digital integration capabilities through the mutual coupling of integrated knowledge and actions;and the whole organization forms digital,eco-systemic capabilities through the mutual coupling of institutionalized knowledge and autonomous actions.Such a multi-level digital intelligence transformation system requires efforts from everyone in the enterprise.