With the continuous advancement of college English teaching reform, teaching quality is one of the most crucial parts of reform. The traditional teaching quality evaluation system has simple indexes, limited subjects, imperfect evaluation mechanism and delayed feedback, which cannot keep up with the process of college English teaching reform. With the extensive application of artificial intelligence, this paper applies GA-BP neural network to college English teaching quality evaluation. This paper discusses the application of artificial neural network technology in college English teaching quality evaluation, establishes an intelligent model of college English teaching quality evaluation based on GA-BP neural network, and realizes the accurate prediction between teaching factors and teaching quality through experiments, which helps analyze and extract effective factors affecting teaching quality and to improve the validity and accuracy of college English teaching quality evaluation.
The boom of 4.0 technology has changed the educational perspective of the world in general and Vietnam in particular. Advanced technologies will be applied to teaching, making school experiences more diverse and meeting the development requirements of the times. Education is developed as an ecosystem, where all elements are linked together through cyberspace and cloud computing. Online courses have become popular and increasingly asserted their role in modern education when satisfying a wide range of learners, saving costs and especially eliminating geographical distance barriers. Vietnam is one of the Asian countries strongly developing online training. In 2017, according to statistics from University World News, Asia is the world's second largest market for online training and Vietnam ranks in the top 10 Asian countries developing this field. In terms of direction from the Ministry of Education and Training of Vietnam, universities need to play a key part in the implementation and development of online training. However, after a period of organizing online teaching, universities admit that apart from the benefits, online education has negative effects on learners. In this study, the writer studies a negative effect that is the decline in soft skills of learners.
The application prospect of education in the metaverse during the COVID-19 epidemic is a vital research topic. This paper focuses on analyzing the dilemmas in the development of contemporary education and the underlying technical features of the metaverse. By analyzing the feasibility of integrating the metaverse with education, this paper tries to explore the application prospect of innovative integration of metaverse and education. Therefore, this paper concludes that the education in metaverse can not only make up for the shortcomings of face-to-face teaching, but also break through the current development bottleneck of online education, balance educational resources, promote education equity, and thus maintain fairness and justice of the whole society.
The "online+offline" hybrid teaching mode is a new teaching mode that gives rise to the highly developed scientific and technological level of information and networking in the era. It breaks the time and space constraints in traditional teaching, makes learning forms more diverse, and makes students truly the main body of the classroom. Through the continuous tracking before, during and after class, teachers make students shift from the traditional teaching goal of skill learning in the art classroom to the subject development of improving students' comprehensive art literacy.
This paper radically analyzes the college English teaching model under converged mobile learning. Firstly, it introduces the connotation and value of converged mobile learning, and affirms the role of converged mobile learning in scene creation and teaching quality improvement. Subsequently, it analyzes the existing state of the development of converged mobile learning in college English teaching, and on this basis, it proposes the college English teaching model under converged mobile learning, which includes the mobile teaching model based on scene creation, the task teaching model based on autonomous exploration, feedback teaching model based on classroom evaluation and the group teaching model based on cooperative learning. Preface The instant development of information technology has spawned more new generation electronic products, and with the increasing number of intelligent terminal products and the deepening reform of college education model, college English teaching with mobile learning as the main model has emerged. With the advantages of strong interactivity and mobility of smart terminal products, it can broaden students’ horizons, innovate the college English teaching model, break the limitation of time and space, so as to effectively stimulate students’ interest in learning, and improve the quality of college English teaching. How to carry out efficient college English teaching with the help of mobile learning is a key concern under the current education system reform.
