Artificial intelligence (AI) technology injects new impetus into education reform, and its functions, such as personalized learning and intelligent evaluation, are expected to solve the problems of low efficiency and unequal resources in the traditional teaching mode. However, there are still significant bottlenecks in the practical feasibility and effectiveness of AI in the teaching classroom and its deep integration with traditional education, which restrict the full release of its educational value. Through empirical analysis, this paper reveals the current three core issues. First, the lack of support for educational resources and the gap in AI infrastructure between regions exacerbated the inequity of education; Second, there are differences in teaching feedback. AI tools are difficult to adapt to complex teaching scenes due to low adaptability of algorithms and data deviation; The third is the lack of teachers' information awareness and ability, and the dual lack of technology application ability and curriculum integration strategy. Given the above problems, this paper puts forward targeted countermeasures from three aspects: improving educational resources, improving educational feedback, and improving teachers' information awareness and ability, to provide reference for the effective application of AI technology in classroom teaching practice.

Under the background of the rapid, continuous development of global technology, electronic equipment and programming, artificial intelligence is gradually moving from theory to application, and exerting significant influence on various aspects of people's life, which including the field of professional sports training. This paper analyzes whether the volleyball training plans generated by generative artificial intelligence align to the sports training principles, and the attitudes and differences of professional coaches and volleyball athletes towards the plans generated by AI. This paper concludes that coaches and athletes unanimously agree that the training scheme formulated by generative AI conforms to the principles of sports training, and coaches' recognition is higher. Additionally, There are great differences in the attitudes of athletes and coaches. Based on this, this paper puts forward the following suggestions: improving the customization ability of AI, developing adaptive artificial intelligence training system, applying reinforcement learning, and promoting multi-disciplinary and interdisciplinary cooperation.

Vocational education plays a pivotal role in fostering economic growth, social advancement, and individual development in China. Against the backdrop of rapid digital transformation and industrial upgrading, this study examines the current status, challenges, and future trends of China’s vocational education system. By conducting a systematic literature analysis of peer-reviewed articles from CNKI and Web of Science, government policies, and international reports, this research identifies critical barriers such as outdated educational philosophies, insufficient integration of emerging technologies, and regional disparities in resource allocation. Thematic coding and comparative analysis reveal persistent contradictions between policy rhetoric and implementation, particularly the elitist bias favoring general education over vocational training. Key findings emphasize the necessity of adopting a people-oriented approach, deepening industry-education collaboration, modernizing curricula with AI and IoT, and enhancing teacher competencies through enterprise partnerships. The study concludes that proactive strategies, including policy reinforcement, curriculum innovation, and equitable resource distribution are essential to align vocational education with the demands of digital transformation. Limitations include insufficient exploration of rural vocational schools’ digital readiness, suggesting future research directions.

The general field of Artificial Intelligence (AI) in art education is different from other applications, but there is not much research that can be used as a benchmark for the reasons that AI is effective in artwork evaluation. The researcher studied the effectiveness of ChatGPT-4o and Claude-3.5-Sonnet AI language models for evaluating the artwork sketches created by undergraduate art students. This study helps to realise the impacts of Artificial Intelligence on education through its ability to generate tailored feedback and real-time teaching in art education. Evaluation results are adversely affected as they are evaluated using different methods. Though both techniques bring direct strengths to assessment, they must be blended in such a way as to provide creative and technical feedback into complete evaluation results for an AI assessment system. The development of the student's artistic practice would be better in the event of the receipt of combined advantages from AIs. Based on this, the research proposes to enhance the AI model to come up with innovative motivation for enhancing the technical support until an advanced AI assessment system is developed that will improve the quality of evaluation and artistic skills in pedagogical art, as well as coming up with innovative advancements.

Under accelerated globalization and frequent cross-cultural exchanges, the English translation of Chinese poetry is of great significance to the dissemination of traditional culture. By comparing the English translations of Chinese ancient poetry by ChatGPT and Deepseek, this study evaluates the cross-contextual communication of AI from the five dimensions. The results show that AI plays a certain role in the cross-context communication of Chinese poetry culture. But simultaneously, the data show that different AIs have different effects on the auxiliary translation of ancient poetry. This means that AI can more accurately convey the cultural connotation of poetry and optimize the effect of cultural transmission by reasonably setting the prompt words. This proves that AI has great potential in promoting the cross-context communication of Chinese ancient poetry culture. Therefore, this paper puts forward the following suggestions: AI developers should tap the potential of models, optimize algorithms, and improve AI's ability to deal with complex cultural connotations and language styles.

With the progress and development of artificial intelligence technology, the use of AI is becoming more and more frequent in people's lives and many fields. The application of AI in academic understanding and communication has attracted wide attention, but there are still shortcomings in the fields related to intercultural communication. This paper analyzes the role of AI in intercultural academic understanding and communication. By using ChatGPT and DeepSeek as two AI tools to translate literature in the field of intercultural communication, this paper analyzes and concludes that AI can be used more efficiently and conveniently in intercultural academic understanding and communication, reduce language barriers, and promote more intercultural academic understanding and communication. Based on the advantages and disadvantages of the two AI tools, this paper puts forward some suggestions, such as learning to use AI in advance, choosing AI tools that better meet the needs of users according to the characteristics of different AI, and insisting on self-thinking.

In recent years, the application of virtual reality (VR) technology in early childhood education has aroused great interest. However, the comprehensive analysis of its potential and challenges is still insufficient. This paper reviews empirical research and provides an in-depth analysis of how VR technology is being implemented in this education sector. Research shows that virtual reality technology is expected to be applied in many aspects, especially in the cognitive development and memory enhancement of young children. The technology also demonstrates effectiveness in special education contexts, helping children with developmental delays improve social interaction skills. However, significant barriers persist, including hardware limitations for small users, insufficient teacher training programs, and concerns about prolonged exposure effects on developing brains. In view of these findings, this paper puts forward some specific suggestions. The overall goal is to provide practical guidance for field applications and further research pursuits, thereby aiding the progress of early childhood education within the field of virtual reality.

With the deep application of artificial intelligence technology in the field of translation. As an important carrier of traditional culture, the theory of Dance of China Dance has special requirements for machine translation due to its unique terminology system and aesthetic characteristics, it is urgent to establish a scientific evaluation system to examine the actual performance of existing AI translation systems in such texts. Taking an introduction to Chinese dance imagery as the research object, this study uses comparative analysis to evaluate the performance of ChatGPT and DeepSeek in the translation of professional dance texts. By constructing a four-dimensional evaluation system including language fluency, grammatical normalization, culturally-loaded word processing and original text fidelity. It is found that AI translation performs well at the level of basic language transfer. But at the same time, AI translation also presents such problems as simplification of cultural images, mistranslation of technical terms and loss of aesthetic features. Based on the empirical data, this study proposes the following suggestions to improve the quality of translation by building a professional terminology database and optimizing the context understanding algorithm.

Currently, teenagers around the globe are all troubled by serious psychological problems. A certain group of teenagers has fallen into certain mental disorders at levels differing among individuals. The teenage years are a period when decisions are made, experiences gained, and self-understanding become very essential, so these years are frequently referred to as a critical or sensitive stage in one's life. What happens during this period is that the young people are not only growing rapidly physically, but also, typical of the age groups, developing their belief systems. Therefore, they are very easily disturbed and emotionally turbulent from the outside. In today’s society, gender stereotypes can have a significant impact on adolescents’ mental and behavioral health during their self-discovery and identity formation. This essay, based on a review of literature and film analysis, highlights methods to overcome adolescent gender stereotypes. This explores the role model, social influences, and self-confidence through the movie Dangal and supporting research. The paper finds that while these elements can challenge gender stereotypes, their effectiveness depends on factors like role-model relatability, social environment, and the balance of self-confidence. This research intends to help parents, educators, and policymakers intervene effectively, thereby overcoming adolescent gender stereotypes and fostering an environment conducive to gender equality.

With the enhancement of AI technology and the emergence of numerous AI tools that can assist in English writing, traditional English teaching methods have experienced both challenges and opportunities. This study analyzed the positive impacts and existing problems of AI-based English writing teaching. Through analysis of the findings of the empirical studies, conclusions are drawn on the following aspects. First, AI-based English writing teaching has a positive impact on personalized writing feedback, vocabulary and grammar enhancement, and improvement in writing capabilities. Nevertheless, problems such as over-reliance, feedback inaccuracy, misguidance, and cultural and linguistic limitations are seen in AI-based English writing teaching. Therefore, this study argues that AI tools can be integrated into student writing grading to reduce stress on teachers and, more importantly, provide in-depth and timely feedback that helps expand students' knowledge of the topic and write more effectively, correct their grammatical mistakes, and provide vocabulary choices. Moreover, suggesting students use prompts can aid them in generating ideas and writing, which accelerates innovation and creativity. By contrast, solutions to the declining critical thinking and over-reliance of students require a supervision mechanism to guide students to use AI tools correctly. Meanwhile, promoting the optimization of AI technology by professionals to improve the accuracy and reliability of feedback is significant. Lastly, cultural and linguistic barriers needed to be diminished by localization strategies and multilingual support.