In the context of the accelerated global aging process and the increasingly diverse health care demands, the shortage of skilled elderly care and nursing professionals has emerged as a key constraint impeding the development of this sector. This article offers a systematic review of both domestic and international research on the development of elderly care and nursing talent, examines structural deficiencies in current training models, and proposes reform pathways informed by international best practices and localized implementation. The findings reveal that the existing training system is confronted with three major challenges: curricula that do not align with industry needs, limited pract... More >

For teachers, advancing professionally and getting job promotions are essential because they encourage hard work and high-quality work. Promotion affects employee performance significantly, and professional development has a significant positive effect on teachers' work commitment while achieving this is consistently coupled with challenges; this study was to identify the challenges teachers encounter in their pursuit of job promotion and growth as professionals. The research sample comprised thirteen participants at the Philippines' Division of Misamis Oriental at the Tagoloan Central School selected through purposive sampling and used a qualitative methodology with a phenomenological resea... More >

Due to its consistent linguistic limitations, linguistics is the preferred medium for language learners. To take it a step further, language is essential for broadening people’s perspectives on the outside world. Now it is time to investigate the connection between linguistics and language acquisition. This study adopts a method of case analysis in accordance with syntax, semantics and pragmatics in linguistics to clarify the relationship between linguistics and language learning based on the practical role of them and make some recommendations for language learning. More >

In response to the emphasis on core competencies in the "Compulsory Education English Curriculum Standards (2022 Edition)" and the requirement for efficient review under the "double reduction" policy, this study focuses on the application of mind maps in English topic review classes for Grade 3 students. In response to the trend of emphasizing the comprehensive use of language ability in the Chengdu high school entrance examination English, as well as the problems of fragmented knowledge, low student participation, and difficult follow-up for students with weak foundations in traditional review models, an integrated review model is proposed, which takes topics as the main line, mind maps as... More >

Artificial Intelligence (AI) is revolutionizing education by enabling personalized learning experiences and intelligent tutoring systems (ITS). This paper examines how AI-driven technologies are transforming modern educational practices through adaptive learning, real-time feedback, and data-driven curriculum design enhanced by learning analytics. By analyzing various AI-powered platforms, this study explores their role in enhancing student engagement, improving accessibility, and optimizing educator efficiency. Furthermore, it addresses the ethical considerations surrounding AI adoption, including data privacy, algorithmic bias, and the necessity for human oversight. While AI presents unpre... More >

Information technology is changing with each passing day. Cloud services are the Internet resource service with the development of networked information technology in recent years, and has been successfully applied to teaching in universities, as one means of interaction and communication between teachers and students. Firstly, the current application status of cloud services in teaching was analyzed in this paper. Secondly, a detailed analysis was conducted on the composition, component modules, and functional characteristics of a real-time interactive system for cloud classroom. A case study of the course question bank and student management module were analyzed in detail. Finally, the app... More >

In the field of natural language processing, Named entity recognition (NER) is a essential task. Mathematical formulas usually contain a large number of terminologies, units of measure and other proprietary knowledge, and the integration of this information into the knowledge graph can significantly enhance the semantic expression ability of the graph. By identifying the named entities in data formulas, the key concepts, entities and relationships between them in the knowledge graph can be extracted, establishing basis for the construction of the knowledge graph and making it easier to interpret and analyse in practical applications. Furthermore, the structured knowledge derived from this pr... More >

To find an approach that combines standardization and personalization, the course resources and teaching modes are explored by generative artificial intelligence. By researching and summarizing the problems and solutions in the course teaching process, it is proposed to set up an assessment way based on key nodes. Then, targeted analysis action of students who did not pass the assessment will be assisted with the effective linkage of generative artificial intelligence technology, teacher and students to achieve the expected goals. Research has shown that with the effective linkage, it can provide advanced assistance for multi-level and personalized teaching in terms of broadening horizons, i... More >