This study is of great significance for understanding the formation and understanding mechanism of new words in English mass media, and also provides a reference for the application of psycholinguistics in vocabulary research.

This paper analyzes the current situation of China's athletic training research in the 20 years since entering the new century from various angles, mainly including the continuous improvement of the item group training theory, the re-examination of the time factor of athletic training, and paying more attention to the combination of competition and education, etc. At the same time, China's athletic training has been analyzed in the development of the new century, which mainly includes the all-round intervention of modern science and technology, the expansion of the theory of athletic training to the theory of competition, the deeper development of the research of athletic training theory, and the humanistic factors will be more important. At the same time, it analyzes the development of athletic training in China in the new century, including the all-round intervention of modern science and technology, the expansion of athletic training theory to competitive sports theory, the deeper development of athletic training theory, and the more emphasis on humanistic factors.

Using multiple evaluation methods and systems give a comprehensive assessment. A computer-based multiple-choice assessment system was designed, implemented, posted online, and used to assess students as part of their final evaluation marks for a discipline. The online system of evaluation was intended to be used multiple times for evaluating the assimilation degree of a specific course at the end of the course. The data recorded for the period 2017–2023 with about 1400 distinct users were used to analyze the performance of the evaluation system. The system worked fine and a slight modification of it served well on remote evaluation during COVID-19 period. However, the upturn of mobile phone applications requires the creation of a system adapted to the new virtual reality.

With the deep integration of artificial intelligence technology in education, the development of AI integration capabilities among pre-service teachers—as the core of future educational human resources—has become crucial for enhancing educational quality and driving digital transformation in education. Based on the AI-TPACK (Artificial Intelligence-Technological Pedagogical Content Knowledge) theoretical framework, this study employs questionnaire surveys and structural equation modeling to explore the structural characteristics, influencing factors, and formation mechanisms of AI-TPACK competencies among pre-service teachers in Chinese universities. Findings indicate that while pre-service teachers demonstrate moderately high overall AI-TPACK levels, their technical knowledge (AI-TK) and technological integration competencies (e.g., AI-TPK, AI-TCK) remain relatively weak. School technical support, technological attitudes, and technological competence significantly influence their AI-TPACK capabilities, with institutional level and teaching experience serving as important external moderating factors. Building on these findings, this paper proposes a systematic framework for developing pre-service teachers' AI integration capabilities from a human resource development perspective. This framework encompasses four dimensions: curriculum optimization, practice enhancement, resource support, and policy guidance. It aims to provide theoretical foundations and practical pathways for pre-service teacher training and teacher human resource development in higher education institutions.