Abstract With the popularization of internet technology and mobile devices, micro courses, as a new type of learning resource and service model, have received widespread attention. This article explores the development and design of a resource design application model for vocational colleges based on micro courses. Firstly, the concept and characteristics of micro-courses were introduced, followed by an analysis of vocational college students’ needs and... With the popularization of internet technology and mobile devices, micro courses, as a new type of learning resource and service model, have received widespread attention. This article explores the development and design of a resource design application model for vocational colleges based on micro courses. Firstly, the concept and characteristics of micro-courses were introduced, followed by an analysis of vocational college students’ needs and current situation. Then, an application pattern design framework based on micro courses was proposed, including four aspects: course design, platform design, interaction design, and evaluation design. Finally, the implementation and application effects of the application mode were demonstrated through specific cases. Read More Read Less

Abstract Under the current wave of artificial intelligence, machine translation is a research direction in natural language processing, which has significant scientific and practical value. By analyzing the source language text in depth, we can utilize precise language features such as speech, vocabulary, intonation, etc., to transform it into understandable language results. Additionally, to address the machine translation task with a massive amount of language... Under the current wave of artificial intelligence, machine translation is a research direction in natural language processing, which has significant scientific and practical value. By analyzing the source language text in depth, we can utilize precise language features such as speech, vocabulary, intonation, etc., to transform it into understandable language results. Additionally, to address the machine translation task with a massive amount of language samples, the advantages of annotated data can be leveraged by combining the characteristics of neural networks to construct a more accurate translation model. Finally, by applying transfer learning, model overfitting can be avoided, greatly enhancing its generalization performance in less external input environments. Read More Read Less

Abstract Neurolinguistics has been widely recognized for its focus on exploring the formation mechanisms of human language and its potentially significant impact on language expressivity. This article introduces an evaluation mechanism based on the BP neural network. It can help us better evaluate teaching effectiveness and potentially significantly influence teaching outcomes. We aim to enhance teaching efficacy and assist learners in improving their learning outcomes.... Neurolinguistics has been widely recognized for its focus on exploring the formation mechanisms of human language and its potentially significant impact on language expressivity. This article introduces an evaluation mechanism based on the BP neural network. It can help us better evaluate teaching effectiveness and potentially significantly influence teaching outcomes. We aim to enhance teaching efficacy and assist learners in improving their learning outcomes. Using MATLAB to assess the teaching efficiency of English classes, we found this approach eliminates the subjective influence of professionals and yields satisfactory conclusions applicable in various circumstances. Read More Read Less

Abstract Currently, research on effective teaching behavior of linguistics education teachers could be more substantial, severely hindering linguistics education’s high-quality development. Therefore, this study focuses on exploring the effective teaching behavior of linguistics education teachers based on hybrid intelligent algorithms to help them achieve teaching objectives more effectively. Hypotheses of effective teaching behavior are constructed using the Delphi method, and advantageous teaching behaviors of expert... Currently, research on effective teaching behavior of linguistics education teachers could be more substantial, severely hindering linguistics education’s high-quality development. Therefore, this study focuses on exploring the effective teaching behavior of linguistics education teachers based on hybrid intelligent algorithms to help them achieve teaching objectives more effectively. Hypotheses of effective teaching behavior are constructed using the Delphi method, and advantageous teaching behaviors of expert linguistics education teachers are identified through comparison. Pearson correlation analysis is employed to validate effective teaching behavior. At a macro level, there are 14 types of effective teaching behavior for linguistics education teachers. Through deep data analysis and interpretation, these 14 effective teaching behaviors can be clustered into four deeper dimensions: evaluative teaching behavior, student-oriented teaching behavior, teacher-student integration teaching behavior, and classroom organization and construction teaching behavior. They present a pyramid model with proportions of 6.7:5:4.2:3 from the base to the top. Conducting effective teaching based on this pyramid model can achieve significant results. The teaching level of outstanding linguistics education teachers determines the competitiveness of a school. Therefore, it is necessary to understand their teaching methods, principles of work, and ways of expression further to guide their work and help them establish a more efficient classroom atmosphere, thus improving the overall level of linguistics education in the entire school. Read More Read Less