This article discusses in depth the innovation strategy of English teaching mode in colleges and universities under the perspective of big data, aiming at solving the challenges faced by the traditional teaching mode in the era of information technology. The article firstly puts forward the main problems existing in the current English teaching in colleges and universities, including the dispersion of learning resources, students’ insufficient knowledge of English learning and inappropriate learning methods. Subsequently, three major innovative strategies are proposed: using big data to optimise the design of personalised learning paths, constructing data-driven teaching content and assessment systems based on data, and promoting the integration of collaborative learning and practical applications. Through real-life case studies, the paper demonstrates how these strategies can be implemented in concrete terms and discusses their positive impacts on improving teaching efficiency, enhancing learning experiences, and fostering students’ comprehensive English application skills. Finally, it summarises the important role of big data technology in the innovation of English teaching in colleges and universities, and looks forward to the future development trend of the teaching model. This paper provides innovative ideas and practical guidance based on big data technology for the field of English teaching in colleges and universities, aiming to promote the continuous improvement of education quality and optimisation of learning effects.

With the development of science and information, building an informatized army in a big data environment and building military data science has become the strategic goal of China’s military construction. To realize this goal, it is necessary to obtain the data advantage. As a result, the level of military data science construction has become an important symbol to measure the capacity of military informatization. For this reason, the article puts forward the idea of constructing the basic theoretical framework of military data science from three perspectives in view of the necessity of carrying out the exploration of military data science construction under the big data environment.

The era of big data has provided unprecedented educational opportunities. In recent years, with the deepening of education reform, the higher education model has changed fundamentally. Therefore, it is necessary to further improve the teaching leadership of teachers and cultivate qualified talents. This paper discusses the necessity of improving the teaching leadership in the background of big data, and discusses the effective measures to improve the teaching leadership in the era of big data.

The growth of computer power is crucial for the development of contemporary information technologies. Artificial intelligence is a powerful instrument for every aspect of contemporary science, the economy, and society as a whole. Further growth in computing potential opens new prospects for biomedicine and healthcare. The promising works on quantum computing make it possible to increase computing power exponentially. While conventional computing relies on the formula with 2ⁿ bits, the simplified vision of quantum computer power is 2^N, where N is a number of logical qubits. With thousandfold or more improvements in computing performance, there will be realistic options for quick protein, genes and other organic molecules 3D fold discoveries, empowering pharmaceutics and biomedical research. Personalized blockchain-based healthcare will become a reality. Medical imaging and instant healthcare data analysis will significantly speed up diagnostics and treatment control. Biomedical digital twin usage will give useful tools to any healthcare practitioner, with options for intraoperative AR and VR micro-manipulations. Nanoscale intrabody bots will be instantly customized and AI-controlled. The smart environment will be enriched with multiple sensors and actuators, giving real control of the air, water, food, and physical health factors. All these possibilities are quickly achievable only in the case of realistic quantum computing options. Even with the ability to reach this stage, there will be questions for the stability of post-quantum society: privacy, ethical issues, and quantum computing control uncertainty. General solutions to these queries will give clues for post-quantum healthcare.

With the rapid progress of cutting-edge technology, digital life has penetrated into all aspects of the public’s daily life and workplace work. As the foundation of financial work, the basic functions of accounting have also experienced the baptism of the era of big data. Big data not only brings challenges to traditional accounting functions, but also opens up new development space and promotes the continuous optimization of basic accounting functions. Based on this, this paper mainly discusses and analyzes how the basic accounting work of colleges and universities can carry out innovation under the background of big data era.