In the digital age, the rapid development of large language models is becoming a new driving force in the field of education and teaching. They not only assist teachers in preparing lessons but also enable personalized teaching, broaden students’ horizons, and provide intelligent assessment methods, bringing numerous innovative teaching possibilities to educators.
Amidst the surging development of digitalization, domestically developed large models have emerged like bamboo shoots after the rain, showcasing a vibrant scene of competition and becoming an indispensable “Eastern power” in the development of artificial intelligence. Recently, DeepSeek launched the R1 large model, which performs on par with the top ChatGPT-o1, especially excelling in logical reasoning abilities, thus rapidly rising to the forefront of this wave. Thanks to its open-source nature, domestically developed independent research, and user-friendliness, the R1 large model has quickly become a powerful assistant for teachers in their teaching endeavors.
Unique Advantages of DeepSeek
Compared to other large models, DeepSeek’s unique advantages lie in significantly reducing the cost of reasoning models through algorithm improvements and optimizations. This model greatly reduces the demands for computing power, input data, and corpus, thereby drastically lowering the costs of training and reasoning. For instance, with DeepSeek-V3, only 2048 NVIDIA H800 GPUs are needed to complete training in just two months, at a cost of only $5.5 million, marking a groundbreaking significance in the model training market.
Technologically, DeepSeek has also achieved several innovations. Notably, through independently developed technology, it has successfully bypassed the limitations of the CUDA framework, enabling support for various hardware platforms and significantly enhancing hardware efficiency. In the current context of “computing power blockade,” this undoubtedly opens an effective solution path. Additionally, DeepSeek-V3 employs multi-head latent attention (MLA) and load balancing technology to effectively reduce memory usage and improve the efficiency of long text processing. DeepSeek has also adopted an open-source strategy, breaking the monopoly of large language models by a few companies, accelerating the optimization and iteration of large models, and contributing a “Chinese solution” to the development of artificial intelligence.
The deployment process of DeepSeek is straightforward. With the help of the Ollama service tool, a simple command can quickly deploy the large language model locally, providing the necessary conditions for low-cost localized deployment applications in education.
Specific Applications of DeepSeek in Education
1. Lesson Preparation
In the field of education, the application of AI technology is becoming increasingly widespread. Through DeepSeek, teachers can easily access high-quality teaching resources, significantly improving lesson preparation efficiency. The unique advantage of DeepSeek lies in its ability to quickly generate a clear and content-rich lesson plan framework based on key information such as the course theme, teaching objectives, and desired teaching methods input by the teacher. From creative ideas for lesson introduction to designing interactive segments during the teaching process and suggesting assignments after class, the comprehensive support provided by DeepSeek helps teachers save valuable time and enhance the efficiency of their teaching work.
DeepSeek also excels in intelligent Q&A, quickly responding to various queries. It not only provides answers but can also delve deeper into related topics based on further inquiries from users, akin to a knowledgeable mentor ready to answer your questions. Using DeepSeek typically follows the questioning pattern of “clarifying roles + refining tasks + posing specific requirements,” which allows the directive model to accurately understand needs and provide more practical content. However, since DeepSeek R1 is a reasoning model, its role is inherently that of an “expert,” so the definition of the role has little impact on the results. But the specificity of the instructions significantly affects the outcomes.
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Instruction Type |
Specific Instruction |
DeepSeek Response |
Effect Analysis |
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Regular Instruction |
Design the classroom introduction for junior high school Chinese literature “Walk“ |
Through life-related questions and visual associations, awaken students’ emotional experiences and reduce the text’s sense of distance. |
The content is vague, lacking practical operational details, making it difficult to apply directly to classroom teaching. |
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Optimized Instruction (using r1 large model reasoning capabilities, omitting explicit roles) |
Design a 3-minute introduction for junior high school Chinese literature “Walk” that quickly captures students’ attention. It should relate to students’ actual lives, such as sharing real stories of parental care for children,considering classroom interactivity, and designing activities for student participation, like group discussions, quick writing, or role-playing to enhance their engagement. |
[Specific and operationally feasible introduction design, such as:[Activity 1: Group Discussion] Please share stories of walking with your parents as a group. It can be something interesting, heartwarming, or a lesson learned. (2 minutes) [Activity 2: Role Play] Each group sends a representative to act out different roles during the walk: sharing feelings] |
The introduction segment sets a scenario close to students’ lives by combining real-life experiences and through the design of group discussions and role-playing activities, fully engages students and can quickly capture their attention. |
2. Classroom Teaching
DeepSeek Classroom Interaction and Management: Trying to create a “Human-Machine Collaborative Dual-Teacher Classroom” or “AI Dual-Teacher Classroom.” This classroom model combines the advantages of real teachers and AI assistants to enhance teaching effectiveness and students’ learning experiences.
Real Teachers and AI Assistants Collaborating in Teaching: Real teachers are responsible for the main teaching activities, while AI assistants (DeepSeek) provide supportive assistance, such as answering student questions and providing personalized learning suggestions.
Personalized Learning Support: AI assistants can offer personalized learning resources and feedback based on students’ learning progress and needs, helping them better grasp knowledge. They can integrate and provide rich teaching resources, such as multimedia materials, interactive exercises, etc., enriching classroom content.
Experimental Teaching Interaction: In classroom teaching, leverage DeepSeek to achieve interactive experimental teaching.
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Prompt: For chemistry teachers, oxidation-reduction is an important teaching content. As a professional programming expert, please help design an interactive web page to study oxidation-reduction. |
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Prompt: For physics teachers, simple pendulum is an important teaching content. As a professional programming expert, please help design an interactive web page to study simple pendulum. |
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Student Behavior Monitoring: By deploying DeepSeek locally, the AI lab connects to DeepSeek; linking the DeepSeek system with classroom equipment ensures that real-time data from each student can be fed back, analyzing students’ learning progress and grades, identifying students’ strengths and weaknesses, and thereby optimizing teaching methods, designing personalized and targeted teaching plans, thus providing strong data support for personalized learning.
3. Assignment Distribution and Grading
Effectively using DeepSeek in assignment distribution, grading, and feedback to lighten the teachers’ workload.
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Assignment Distribution Stage Teachers input knowledge points (such as“Application of Trigonometric Function Formulas“), difficulty level (junior high/high school), and question type requirements,DeepSeekautomatically generates10matching practice questions, supporting export toWordorPDFformat. Prompt:Please help me generate (basic questions + extension questions) assignments based on the chapter on trigonometric functions for junior high school, where basic questions assess students’ grasp of foundational knowledge, and extension questions are slightly more challenging, referencing various provinces’ middle school exam questions on trigonometric functions. |
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Assignment Grading Stage Large-scale assignment grading can utilize tablets, allowing students to submit multiple-choice answers via a questionnaire. Teachers export the students’ submittedExcelanswer sheet (including student ID, multiple-choice answers) toDeepSeek, and the system can complete grading for thousands of students within a minute, automatically generating a correctness heatmap. Prompt: Please quickly grade the student assignments in the Excel document data I submitted, where each line represents a student’s answers, and help me quickly grade and analyze the incorrect answers, usinghtmlto draw a correctness heatmap.
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(4) Class Management and Home-School Communication
Winter vacation exercise data analysis: Analyze students’ jump rope records during the winter vacation using DeepSeek, providing personalized learning suggestions.
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Prompt: Analyze the jump rope data of the class students during the winter vacation to provide a basis for strengthening physical exercise in the new semester. |
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Home-School Communication: Create a dedicated intelligent assistant for teachers, utilizing DeepSeek to communicate effectively with parents, jointly promoting student growth.
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Value of DeepSeek in Education
DeepSeek can provide teachers with efficient teaching tools and resources, helping them save time in lesson preparation, grading assignments, and other aspects, allowing them to focus more on teaching design and student guidance, significantly enhancing teaching efficiency.
DeepSeek, through intelligent analysis of students’ learning progress, interests, and ability differences, provides precise learning paths and personalized learning resources for each student, truly meeting students’ personalized needs and facilitating tailored teaching.
With its powerful data analysis capabilities, DeepSeek can collect and analyze students’ learning data in real time, providing teachers with comprehensive and scientific teaching feedback. Teachers can use this data to make more precise teaching decisions, adjust teaching strategies, optimize teaching content, and thus improve teaching quality.
The emergence of DeepSeek reveals the immense potential and limitless possibilities of AI technology. With the continuous development and improvement of technology, DeepSeek is expected to play an important role in more fields in the future, bringing more convenience and innovation to people’s lives and work. For instance, in the field of education, it can serve as an intelligent tutoring tool, providing students with personalized learning plans and real-time Q&A. At the same time, we also look forward to DeepSeek continuously improving in areas such as technology ethics and data security to ensure the healthy and sustainable development of AI technology.
As teachers in the new era, we should actively embrace this powerful AI tool, continually learn and explore its functions and application scenarios, allowing DeepSeek to become a capable assistant in enhancing our efficiency and realizing our creativity.
Of course, parent-child relationships, companionship in growth, and family education are areas where AI will find it challenging to excel in the short term. Teachers and parents should gradually shift from merely “teaching children to solve problems” to becoming guides that can inspire children’s learning enthusiasm, guide their emotions, and lead them to deep thinking. Meanwhile, special attention should be given to those students who have not yet developed independent thinking skills and value judgment, guiding them to use AI products correctly.
Source | This article is original
Author | Zhang Yuanli, Teacher at Chongqing No. 1 Middle School; Zhang Lewen, Teacher at Shouguang City Mishu Future School