1. Introduction to DeepSeek
1.1. Core technologies and advantages
DeepSeek has excelled in multiple fields with its core technological advantages in natural language processing, machine learning and deep learning, and big data analysis. It can perform logical reasoning, solve complex problems, understand and generate high-quality text, accurately analyze image and video content, accurately recognize and synthesize speech, provide personalized recommendations based on user preferences, efficiently process large-scale data and mine valuable information, achieve multi-modal data fusion and learning, and achieve fast natural language interaction through intelligent assistants and chatbots [1].
1.2. Functional features
Efficient search capability: DeepSeek utilizes advanced deep learning and natural language processing techniques to quickly and accurately locate the information users need in massive amounts of data. User friendly interface: DeepSeek has a concise and clear interface design, supports multiple languages, and meets the needs of users from different countries and regions; Powerful data integration capability: DeepSeek can extract information from various structured and unstructured data sources and integrate them into a unified platform, making it convenient for users to search and browse.
Flexible customization: DeepSeek supports users to customize settings according to their own needs, including sorting of search results, filtering criteria, etc., to meet the needs of different scenarios and users.
Data visualization: DeepSeek supports visualizing data in the form of charts, curves, etc., helping users better understand and analyze data.
Report generation: DeepSeek supports presenting search results to users in the form of reports, facilitating data analysis and management.
1.3. Application scenarios
DeepSeek can assist financial institutions in intelligent investment research analysis, dynamic analysis of customer tags, and automation of middle and back-end processes, improving work efficiency and the depth and breadth of data analysis. At the same time, it can also perform financial market data analysis, predict stock trends, and assist in risk management; DeepSeek can be used for medical record organization, clinical research, health management, and other aspects. It can help doctors organize medical records and examination reports, assist in diagnosis, and provide personalized treatment plans; DeepSeek is capable of processing large amounts of data and providing intelligent decision support and services, such as electronic medical record management, clinical research, e-government processing, etc.; DeepSeek can assist novice foreign trade personnel in developing detailed work plans, finding customers, conducting market research, and more; DeepSeek can also be applied to multiple scenarios such as software development, document office, brand management, and product operation.
1.4. Performance
DeepSeek V3 has surpassed Meta's Llama3 and OpenAI's GPT-4 in multiple benchmark tests, particularly in programming and translation tasks. Its code generation accuracy reaches 95%, significantly higher than the 90% of GPT-4. This is due to its large parameter scale (671 billion parameters) and advanced training methods. In addition, DeepSeek V3 adopts an innovative hybrid expert architecture (MoE), which improves model performance and supports inference acceleration.
1.5. User feedback and improvement suggestions
From the user's perspective, DeepSeek provides efficient and accurate information retrieval services, and greatly improves work efficiency and learning experience through intelligent recommendations and personalized customization functions [2]. However, users also hope that DeepSeek can further enhance its multilingual processing capabilities, especially by optimizing support for non-English languages. Meanwhile, integrating more practical tools such as online translation and schedule management will make DeepSeek a more comprehensive intelligent assistant. DeepSeek still has room for improvement in terms of interface friendliness and interactive design, such as using more intuitive charts or visual elements to display search results.
2. Current situation of theoretical teaching in nursing courses
2.1. The course offerings are more diverse and abundant
With the rapid development of the healthcare industry, the theoretical teaching of nursing courses places more emphasis on comprehensiveness and practicality in curriculum design. At present, nursing courses not only cover traditional core courses such as basic nursing and clinical nursing, but also add emerging courses such as nursing psychology, nursing ethics, and nursing management. In addition, in order to meet the needs of modern medical and health services, some universities have also offered specialized courses such as elderly care, community care, and mental care to cultivate students' professional skills and abilities to deal with various types of patients.
2.2. Continuous innovation in teaching methods
In terms of teaching methods, the theoretical teaching of nursing courses adopts more diverse and innovative approaches. Although traditional lecture based teaching still accounts for a certain proportion, new teaching methods such as simulation teaching, case teaching, and situational teaching are gradually being widely applied. These teaching methods can not only stimulate students' interest and participation in learning, but also improve their practical and problem-solving abilities. For example, through simulated teaching, students can personally experience the nursing operation process and deepen their understanding of theoretical knowledge; Through case-based teaching, students can analyze real nursing cases and improve their clinical decision-making abilities.
2.3. The quality of the teaching staff continues to improve
The quality of theoretical teaching in nursing courses largely depends on the quality of the teaching staff [3]. In recent years, various universities have continuously strengthened the construction of their teaching staff, improved the professional quality and teaching ability of teachers. On the one hand, by introducing nursing experts with rich clinical experience and profound theoretical foundation, the teaching staff can be enriched; On the other hand, we should strengthen the training and assessment of existing teachers, encourage them to participate in academic exchanges and research activities, and enhance their teaching and research abilities. In addition, some universities have established mechanisms such as teacher peer evaluation and student evaluation to urge teachers to continuously improve teaching methods and enhance teaching quality.
2.4. More abundant practical opportunities
Nursing is a highly practical discipline, so the combination of theoretical and practical teaching is crucial. Currently, universities pay more attention to providing students with sufficient practical opportunities in the theoretical teaching of nursing courses. On the one hand, strengthen cooperation with practical bases such as hospitals, nursing homes, and communities to provide students with more opportunities for clinical internships and community services; On the other hand, encourage students to participate in scientific research projects and academic activities to cultivate their research abilities and innovative thinking. In addition, some universities have established on campus simulation laboratories and virtual simulation teaching platforms to make up for the lack of practical base resources.
2.5. Strengthening the trend of international education
With the increasing frequency of international exchanges, the theoretical teaching of nursing courses has also shown a trend towards international education. Various universities have introduced advanced teaching concepts and methods from abroad, and strengthened cooperation and exchanges with international nursing education institutions. At the same time, students are encouraged to participate in international academic conferences and nursing skills competitions to enhance their international perspective and competitiveness. In addition, some universities have also offered nursing courses taught entirely in English to meet the needs of international students.
2.6. Challenges and improvement directions faced
Although significant progress has been made in the theoretical teaching of nursing courses in recent years, there are still some challenges that need to be addressed. For example, some course content is still out of touch with actual needs, teaching methods are single, and the teaching staff is uneven. In order to improve these issues, universities need to further strengthen curriculum construction and innovative teaching methods, enhance the overall quality of their teaching staff, strengthen cooperation and exchanges with international nursing education institutions, and promote the continuous development and improvement of theoretical teaching in nursing courses.
3. The application prospects of DeepSeek in nursing theory teaching
3.1. Develop personalized learning plans
DeepSeek can intelligently analyze students' learning behaviors and interests, and tailor learning plans based on their actual situations. In nursing theory teaching, teachers can use DeepSeek to develop personalized learning paths for each student, ensuring that students can master knowledge at a pace that suits them, thereby improving learning efficiency and effectiveness.
3.2. Instant feedback and dynamic evaluation
DeepSeek has real-time feedback function, which can monitor students' learning progress and grades in real time and provide dynamic evaluation reports for teachers. In nursing theory teaching, teachers can use DeepSeek to obtain students' learning data, timely understand their learning situation, discover their weak links, adjust teaching strategies, and provide more targeted guidance.
3.3. Teaching syllabus and teaching resource generation
DeepSeek is able to quickly generate accurate and error free teaching outlines and resources based on a professional medical knowledge base [4]. In nursing theory teaching, teachers can use DeepSeek to quickly construct teaching syllabi that are in line with the development trend and professional standards of nursing education, while obtaining the latest nursing theory and practical knowledge, providing students with the most cutting-edge and practical nursing knowledge.
3.4. Research support and data analysis
DeepSeek also has significant advantages in scientific research, as it supports data uploading and chart interpretation, providing strong support for nursing researchers. In nursing theory teaching, teachers can use DeepSeek for literature review, data analysis, and other work to improve research efficiency and quality. At the same time, students can also use DeepSeek to write and polish course papers, enhancing their academic writing skills.
3.5. Interdisciplinary learning and knowledge expansion
DeepSeek is not limited to knowledge in the field of nursing, but can also integrate interdisciplinary information to provide students with interdisciplinary learning opportunities. In nursing theory teaching, teachers can use DeepSeek to introduce knowledge from related disciplines such as psychology, sociology, etc., to broaden students' knowledge horizons and cultivate their interdisciplinary thinking.
3.6. Intelligent teaching management and assistance
DeepSeek has intelligent teaching management and auxiliary functions, which can reduce the workload of teachers and improve teaching efficiency. For example, teachers can use DeepSeek for course scheduling, student management, homework grading, and other tasks, thus having more time to focus on students' personalized needs and development.
3.7. Challenges and coping strategies
Although DeepSeek has broad application prospects in nursing theory teaching, it also faces some challenges. For example, issues such as data privacy protection and balancing computing power consumption need to be properly addressed. To this end, the following strategies can be taken: strengthening the construction of data privacy protection mechanisms to ensure the security of student information; Optimize model efficiency and reduce computational power consumption; Strengthen the development of human-machine collaboration mechanisms to improve the interpretability and doctor adoption rate of AI systems.
In summary, the application prospects of DeepSeek in nursing theory teaching are broad. Its personalized learning plan formulation, real-time feedback and dynamic evaluation, teaching syllabus and teaching resource generation, scientific research support and data analysis, interdisciplinary learning and knowledge expansion, as well as intelligent teaching management and assistance, have brought revolutionary changes to nursing education. At the same time, it is also necessary to pay attention to and address the challenges faced to ensure the effective application of DeepSeek in nursing theory teaching.
4. Application suggestions of DeepSeek in theoretical teaching of nursing major
4.1. Generation of personalized teaching resources
Creating customized learning materials using DeepSeek: Teachers can use DeepSeek to generate personalized learning materials based on students' learning needs, interests, and ability levels. For example, for students with weak foundations, more basic and easily understandable learning content can be generated; For students with stronger abilities, more in-depth and challenging learning materials can be provided; Generate educational materials with both images and text: DeepSeek supports multiple formats of output. Teachers can request the generation of educational materials in Word, PPT, or PDF formats, and insert visual elements such as images and charts to make the content more vivid and intuitive.
4.2. Optimize teaching content and presentation methods
Real time updating of teaching content: Teachers can use DeepSeek to quickly retrieve the latest medical literature and clinical guidelines, ensuring the timeliness and accuracy of teaching content; Diversified presentation of teaching content: In addition to traditional textual descriptions, teachers can also use DeepSeek's text to speech function to convert educational content into audio, making it convenient for students to listen at any time. Meanwhile, multimedia content such as animations and videos can also be generated to enrich teaching methods and enhance students' interest in learning.
4.3. Enhance teaching interactivity and participation
Real time interactive question answering: During the teaching process, students may have various questions. Teachers can utilize DeepSeek's real-time interactive feature to promptly answer students' questions and improve teaching efficiency; Using cases to enhance persuasiveness: DeepSeek can generate relevant cases to help teachers explain complex concepts more easily to students. For example, when explaining the nursing points of a certain disease, a specific case can be generated to allow students to more intuitively feel the impact of the disease and the importance of nursing.
4.4. Continuously track and evaluate teaching effectiveness
Regular assessment of students' mastery: Teachers can use DeepSeek to generate questionnaires or test questions, regularly test students to understand their mastery of teaching content, and adjust teaching strategies based on feedback. Based on students' test results and feedback, teachers can adjust teaching strategies and content in a timely manner. For example, if students are found to have poor mastery of a certain knowledge point, they can strengthen the explanation in this area or provide additional learning resources.
4.5. Pay attention to data privacy and ethical standards
Protecting student privacy: When using DeepSeek, teachers need to pay attention to protecting students' privacy information. Avoid revealing students' real names, ID number and other sensitive information in questions; Adhere to ethical standards: Teachers should follow educational and medical ethical standards to ensure that the use of DeepSeek complies with relevant laws, regulations, and ethical requirements.
4.6. Combining traditional teaching methods with the advantages of DeepSeek
Integrating online and offline teaching: Teachers can combine the intelligent teaching resources provided by DeepSeek online with interactive teaching face-to-face offline to form a teaching mode that integrates online and offline teaching, improving teaching effectiveness; Give full play to the leading role of teachers: Although DeepSeek provides rich teaching resources and functions, the leading role of teachers is still irreplaceable. Teachers should fully utilize their professional knowledge and teaching experience to guide students to use DeepSeek correctly for learning [5].
5. Conclusion
In summary, the application of DeepSeek in theoretical teaching of nursing has broad prospects and potential. By making reasonable use of DeepSeek's features and advantages, teachers can provide students with a more personalized, efficient, and interactive learning experience, thereby improving their learning outcomes and satisfaction.
References
[1]. Zhao, S. (2023). The challenges and coping strategies of ChatGPT on human language ability and language education. Changjiang Academic, 2023(4), 114-118.
[2]. Li, P., Chen, J., Ning, N., et al. (2023). Progress and Reflection on the Application of ChatGPT in the Medical Field. West China Medicine, 38(10), 1456-1460.
[3]. Li, J., Xiao, Y., & Xie, L. (2022). The current application status of artificial intelligence in medical humanities education. China Medical Education Technology, 36(3), 286-291.
[4]. Wang, Y., Chu, H., Liang, J., et al. (2022). The Current Situation and Exploration of Higher Medical Education Reform under the Background of Artificial Intelligence. China Medical News, 19(13), 64-67.
[5]. Zhang, F., & Chen, W. (2023). ChatGPT and Higher Education: How Artificial Intelligence Drives Learning Transformation. Journal of Chongqing University of Technology (Social Sciences), 37(5), 26-33.
Cite this article
Cheng,L. (2025). Application prospects of DeepSeek in nursing theoretical teaching. Advances in Engineering Innovation,16(2),32-36.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
About volume
Journal:Advances in Engineering Innovation
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).
References
[1]. Zhao, S. (2023). The challenges and coping strategies of ChatGPT on human language ability and language education. Changjiang Academic, 2023(4), 114-118.
[2]. Li, P., Chen, J., Ning, N., et al. (2023). Progress and Reflection on the Application of ChatGPT in the Medical Field. West China Medicine, 38(10), 1456-1460.
[3]. Li, J., Xiao, Y., & Xie, L. (2022). The current application status of artificial intelligence in medical humanities education. China Medical Education Technology, 36(3), 286-291.
[4]. Wang, Y., Chu, H., Liang, J., et al. (2022). The Current Situation and Exploration of Higher Medical Education Reform under the Background of Artificial Intelligence. China Medical News, 19(13), 64-67.
[5]. Zhang, F., & Chen, W. (2023). ChatGPT and Higher Education: How Artificial Intelligence Drives Learning Transformation. Journal of Chongqing University of Technology (Social Sciences), 37(5), 26-33.