Most view articles

1 Research on generative artificial intelligence empowering personalized learning path in higher vocational college

CHEN Xiaoqiang , XIAO Liping , ZHANG Hui

2024, 40(17):57-60.

[Abstract](1479) [HTML](0) [PDF 1.02 M](4447)

Abstract:
This paper focuses on building a personalized learning path for higher vocational educationempowered by generative artificial intelligence, and proposes a personalized learning path modelbased on generative artificial intelligence and personalized learning theory. The model includes fourmodules: personalized diagnosis, personalized resource generation strategy, personalized pathplanning optimization algorithm, implementation and optimization feedback mechanism. This papertakes the “Web application development” course of higher vocational college as the scene, and carriesout a large-scale empirical analysis. The results verify that the model has more significant advantagesthan the traditional teaching, which can improve learners’ knowledge mastery, cognitive ability andlearning experience level.

2 Research on teaching evaluation based on course knowledge graph

DUAN Wei

2024, 40(4):1-3.

[Abstract](1378) [HTML](0) [PDF 1.68 M](2475)

Abstract:
The course knowledge graph visualizes the relationship between course knowledge points, including the relationship between knowledge points and teaching objectives, as well as the relationship between knowledge points and teaching resources. By expressing the attributes of knowledge points, the course knowledge graph presents the importance of these knowledge points in course teaching. The article introduces the process of constructing a course knowledge graph and establishes a teaching evaluation system based on it. At the same time, the article elaborates that the application of course knowledge graphs in teaching evaluation can effectively enhance the scientificity and effectiveness of teacher propositions, making the evaluation of student learning outcomes more scientific.

3 Dark circles detection based on deep learning

ZHANG Qingqing , SHI Hao

2023, 39(11):131-133.

[Abstract](1155) [HTML](0) [PDF 1.62 M](2142)

Abstract:
As modern people's lives become better and better, more people have begun to pay attention to their own image, so the dark circles under their eyes have also begun to become a sore point for some people. At present, we divide dark circles into three categories, namely pigmented dark circles, vascular dark circles and structural dark circles, and there are various treatments for various types of dark circles.In order to quickly identify various types of dark circles for better treatment, this paper collects a set of dark circles data, trains them with the DETR model, and obtains a model that can quickly identify the types of dark circles.The experimental results show that as long as there is enough data set, the proposed model can achieve a high dark circle recognition rate.

4 Generative artificial intelligence empowers interdisciplinary project based learning in Chinese language

PENG Caohong

2025, 41(1):36-39.

[Abstract](1098) [HTML](0) [PDF 1.42 M](425)

Abstract:
With the breakthrough of generative artificial intelligence technology，its application has expanded to teaching scenarios，attracting widespread attention from education researchers at home and abroad. Starting from the value and challenges of interdisciplinary project-based learning in Chinese language，this article conducts research on how generative artificial intelligence can empower interdisciplinary project-based learning in Chinese language，and proposes a“Chinese interdisciplinary project-based teaching model integrating generative artificial intelligence”.Based on this model，an interdisciplinary project-based learning activity called“Being a Guardian of World Heritage Sites”has been designed and implemented，forming a series of lesson examples and student achievements， providing a reference path for the combination of generative artificial intelligence and interdisciplinary Chinese language learning，as well as the cultivation of students interdisciplinary reading and writing abilities.

5 Design and implementation of “Shici” APP under new media perspective —Based on digital inheritance and protection of Chaoshan inlaid porcelain

YE Haoshan , YIN Binfeng , ZHAN Siying , GUO Ting

2023, 39(10):53-57.

[Abstract](1076) [HTML](0) [PDF 3.30 M](1573)

Abstract:
With the development of information technology and digital technology, APP design has become an important component of intangible cultural heritage protection, and the excellent Puning porcelain inlay culture needs to be inherited and protected. It is through the combination of VR and new media technology with porcelain inlay culture that diversified paths and innovative ideas are provided for the development and inheritance of Puning porcelain inlay, achieving an immersive experience without leaving the house. Onsite experiences are made through appointments, and deep exchanges are held with friends who love porcelain inlay culture through exchange meetings. By purchasing porcelain inlay related cultural and creative products, users can spread porcelain inlay culture to various places, to expand the dissemination and influence of Puning porcelain inlay. These technologies can not only improve the dissemination efficiency of porcelain inlay culture, but also allow more people to experience porcelain inlay culture at home, enabling better inheritance and development of Puning porcelain inlay culture.

6 Progress,review and prospect of large model prompt word engineering are introduced

SUN Fei

2024, 40(18):179-182.

[Abstract](1032) [HTML](0) [PDF 1.30 M](1482)

Abstract:
Since 2023， large language models（ LLM） have entered a period of rapid development. Atpresent， prompt word engineering has attracted more and more attention and become one of theimportant topics. This paper first introduces the definition， classification and main elements of promptword engineering. Then it further discusses the techniques of zero sample prompt， less sampleprompt， chain thinking prompt， thought tree prompt， automatic prompt engineering， searchenhancement generation and ReAct framework， and discusses their application and effect in differentscenarios. Finally， the paper predicts the possible development trend of prompt word engineering inthe future.

7 Research on fake news detection based on large language model

LV Shuhang , LI Shi , XI Ming , SU Zhongzhen , ZHOU Zitong , ZHANG Zhitong

2024, 40(22):91-96.

[Abstract](927) [HTML](0) [PDF 1.28 M](765)

Abstract:
Fake news is rapidly spreading in cyberspace， posing a serious threat to public health and safety. To effectively address this challenge， researchers have begun exploring fake news detection methods based on machine learning algorithms， aiming to investigate the application and effectiveness of large scale language models in fake news detection. The research objective is to develop a system that can automatically identify and classify the authenticity of news， in order to reduce the spread of false information. Among them， the binary classification method is used to evaluate the authenticity of news， which is divided into two categories： “real news” and “fake news”. In terms of methodology， utilize multiple commonly used LLM platforms and demonstrate how to integrate these tools through API call examples. In addition， function calls are used to search engines， and the RAG （Retrieval Augmented Generation） framework is adopted， which is a method that combines retrieval and generation to assist in generating accurate answers by retrieving external knowledge. Provided a series of examples， including direct inquiry method， source reliability assessment， identification of misleading statements， in depth analysis， citation and reference checks， and comprehensive evaluation， demonstrating how to evaluate the credibility of news. The results indicate that prompt engineering can effectively guide the model to complete specific tasks such as text classification， question answering， and text generation. A large scale language model combining RAG framework and prompt word engineering can significantly improve the accuracy and efficiency of fake news detection.

8 Design of control algorithm for warehouse logistics robot based on embedded ARM structure

LI Cheng , WANG Jinshi , CAO Xianying , GUAN Yutao , LI Pengfan , YU Yue , WANG Yidi

2023, 39(6):84-86.

[Abstract](908) [HTML](0) [PDF 956.64 K](1589)

Abstract:
At this stage, many logistics warehousing robots have problems such as unreasonable optimization path of space control algorithm and large deviation, which affect production work. Therefore, embedded ARM microprocessors can be used to control the robot in real time, and embedded communication modules with high compatibility can be used to re code the robot to reduce working errors. This paper starts from the design of embedded ARM microprocessor structure, The system software design and hardware design are discussed respectively, the control algorithm design method of the warehousing and logistics robot is analyzed, and the control algorithm verification measures are proposed, hoping to provide reference for the relevant departments.

9 Research on application of AIGC tool in modern educational technology course

ZHAO Guodong

2024, 40(17):16-19.

[Abstract](787) [HTML](0) [PDF 2.01 M](4365)

Abstract:
The course of “modern educational technology” bears the responsibility of cultivating theinformation literacy of normal university students. With the deepening of educationalinformatization, it is facing increasing teaching pressure. This article provides an overview of thedomestic and international development of Artificial Intelligence Generated Content (AIGC),analyzes the current application status of AIGC in the field of education through literature review,analyzes the classification and application of AIGC tools at the technical level, proposes selectioncriteria for AIGC tools in the course of “modern educational technology”, designs and applies opensourceAIGC models to build a multimodal platform, and uses dialogue and image generation modelsto achieve knowledge Q&A and material production. This not only achieves personalized teachingand improves teaching efficiency, but also alleviates the teaching pressure of teachers.

10 Design and implementation of a handicraft trading platform based on Spring Boot

LONG Guangjie , ZHOU Quanxing , YANG Min , ZHOU Damei

2024, 40(4):68-71.

[Abstract](772) [HTML](0) [PDF 1.57 M](1245)

Abstract:
As people's pursuit of personalization and unique products continues to increase, handicrafts, as a unique art form and cultural heritage, are increasingly loved and sought after by more and more people. Online trading platforms provide a larger market and more exposure opportunities for handicrafts. Among them, handicraft producers have gained more sales channels and opportunities, while consumers have more choices. In addition, with the continuous development of electronic payment and logistics technology, online trading platforms can provide more secure and convenient trading and delivery methods, further promoting the online sales of handicrafts.

11 Virtual simulation experiment system of fitter teaching based on Unity3D

YAN Zonghuan , ZHANG Shijie , LI Xin

2023, 39(7):56-59.

[Abstract](766) [HTML](0) [PDF 1.06 M](2029)

Abstract:
Virtual simulation is an advanced technology that is widely used in many fields and its use in education can improve teaching methods. This paper develops a simulation experiment system based on Unity3D software, 3D modelling software, interactive programming software and other software to teach pincer work as a theoretical basis. The system contributes to a certain extent to the training of practical courses, and also realises the first online and offline co-teaching platform for metalworking practice in national universities, filling the gap on online 3D virtual simulation teaching for metalworking practice.

12 Research on reform of talent cultivation in computer majors of higher vocational education based on“ artificial intelligence+”

CHEN Xiaoqiang , HU Han , SHU Huixin

2024, 40(12):25-28.

[Abstract](732) [HTML](0) [PDF 1.06 M](1301)

Abstract:
With the rapid development of artificial intelligence， the talent training mode of vocational educationurgently needs innovation and upgrading. The article analyzes the opportunities and challenges that artificialintelligence brings to higher vocational education， and highlights the prominent problems in the existing talenttraining models. It proposes an overall path for innovation in the talent training model of computer majors inhigher vocational education under the background of“ artificial intelligence+”， including reconstructing thetraining target system for the era of artificial intelligence， optimizing the curriculum system that integratestheoretical knowledge of artificial intelligence， reforming the teaching model using information and intelligentmethods， strengthening the construction of practical teaching links， and comprehensively improving thecomprehensive quality of the teaching staff. At the same time， the article explores specific paths for innovativepractice， proposes suggestions such as strengthening deep cooperation between schools and enterprises，building intelligent teaching resource platforms， constructing artificial intelligence training bases， andimproving quality monitoring and evaluation systems.

13 Application of deep learning combined with optimization algorithmsin sensor parameter design optimization

ZHA Junwu , ZHOU Yufeng

2024, 40(9):83-86.

[Abstract](714) [HTML](0) [PDF 998.68 K](1240)

Abstract:
The optimization of structural parameters for sensors has problems such as multiplevariables, complex analysis formulas, and high difficulty in optimization. Many scholars at home andabroad have conducted various studies in this field and found that different structural parameters havea huge impact on its performance. Therefore, the reasonable optimization of parameter design is ofgreat research significance. Deep learning can construct predictive models based on existing datasets,while utilizing relevant optimization algorithms to seek the optimal solution set for multiple objectiveproblems. By optimizing the structural parameter values obtained, better performance can beachieved, providing a new approach for sensor parameter optimization.

14 Replacement technique of equivalent infinitesimal in function limit calculation

LIU Wenfei

2025, 41(5):176-178.

[Abstract](695) [HTML](0) [PDF 1.13 M](349)

Abstract:
In response to the teaching difficulties of equivalent infinitesimal substitution in the course of “advanced mathematics”，this article proposes the substitution principle of“multiplication and division can be replaced，addition and subtraction need to be cautious”in function limit calculation. The scope of application of the substitution principle is classified and discussed. Based on the Taylor formula principle，the reasons for several special function limit equivalent infinitesimal substitutions are analyzed，with special emphasis on the need for caution and other precautions. It has strong theoretical guidance and support for infinitesimal participation in complex function limit calculation.

15 Research on industrial design process and design thinking transformation based on GenAI

HAN Yao

2025, 41(17):120-124.

[Abstract](682) [HTML](0) [PDF 1.21 M](380)

Abstract:
Starting from 2023，Generative Artificial Intelligence（GenAI）will be widely used in the field of industrial design，restructuring the design process. The article systematically discusses the working mode of industrial designers and GenAI in human-machine collaboration mode，focusing on project data collection， requirement insight and user research，problem definition and opportunity point mining，etc. It points out that GenAI is promoting the transformation of design thinking from“experience intuition driven”to“systematic innovation”，realizing the mode change from“designer centered”to“human-machine co creation”，from“linear process”to“dynamic emergence”，and promoting the transformation of design decision-making from“pure experience oriented”to“data inspiration fusion driven”. Based on this，prompt word engineering has become a new core skill for designers，with quick trial and error and low-cost exploration becoming the norm，and the threshold for interdisciplinary collaboration has also been lowered.

16 Experimental projects design of “logging data processing and interpretation” course—Taking CIFLog software platform as an example

FANG Chunhui , SHI Yanbin , LUO Teng , JIA Jianpeng

2023, 39(19):23-25.

[Abstract](668) [HTML](0) [PDF 1.34 M](1031)

Abstract:
“Logging data processing and interpretation” is one of the required courses for undergraduates majoring in exploration technology and engineering. And the use of professional software is an essential skill to students in this major. Based on the CIFLog software platform, this paper designs three groups of experimental projects, i.e., routine data processing, imaging data processing and program development, which can combine practice with theory and production. The practical teaching results show that the reasonable experimental design project can not only enable students to master the basic flow of logging data processing and interpretation, but also open up students' thinking,thus providing strong support for future scientific research.

17 Design and implementation of smart home control system based on STM32

YAN Shiming , LIU Jia

2025, 41(9):127-129.

[Abstract](647) [HTML](0) [PDF 1.40 M](251)

Abstract:
Designed and implemented a smart home control system based on STM32，which controls various household appliances through DHT11 temperature and humidity sensors，ESP8266 Wi-Fi modules，and MQTT protocol.

18 Design and implementation of land-air amphibious UAV System

TANG Shuide , WANG Han , ZHANG Haohong , LI Junjie , HU Mingmin

2023, 39(21):31-33.

[Abstract](625) [HTML](0) [PDF 1.26 M](957)

Abstract:
This article designs a land-air amphibious unmanned aerial vehicle (UAV) system, which is mainly composed of car and unmanned aerial vehicle. The system can autonomously switch between ground and air motion modes, and has basic navigation and obstacle avoidance functions. It can perform precise positioning and stable control in complex indoor environments. In terms of hardware, the land-air amphibious UAV system uses high-performance motors, sensors, and flight control systems to achieve automatic cruising, obstacle avoidance, and autonomous flight functions of the vehicle, and enables the car and unmanned aerial vehicle to work together. In terms of software, this article developed autonomous control algorithms and instruction sets, achieving overall control and debugging of the system. Through experiments and data analysis, it was found that the land-air amphibious UAV system has high practicality, and has broad application prospects in civilian, scientific research and other fields.

19 Virtual simulation teaching system of digital circuit based on Unity technology

SUN Moli , LI Weiguang , LI Qian , YAN Meng

2023, 39(11):19-21.

[Abstract](612) [HTML](0) [PDF 2.40 M](1730)

Abstract:
As a new method, virtual simulation technology based on Unity technology plays an important role in various application fields (such as education, medicine, architecture, chemistry). In order to meet the needs of online experimental courses for “digital circuits” courses in colleges and universities, the article proposes a digital circuit virtual simulation teaching system based on Unity technology, so that students can still complete the experimental tasks of digital circuits without experimental equipment. Students can freely enter the virtual teaching system to learn, just like observing and manipulating the experimental equipment in a real environment. This kind of teaching design enriches students' perceptual understanding, improves students' learning efficiency and practical ability, and effectively makes up for the shortcomings of students' experiments in real scenes.

20 Design and implementation of clothes rack based on STM32

SU Junhan

2023, 39(15):63-65.

[Abstract](610) [HTML](0) [PDF 2.07 M](759)

Abstract:
Aiming at the problems of complex structure, simple function and backward intelligence of drying racks on the market, this paper designs a drying rack system based on STM32. The system consists of a photosensitive detection module, a raindrop detection module, an air drying module, a temperature and humidity sensor module, an ultraviolet sterilization module, and a motor drive module. It uses STM32 single-chip microcomputer for overall control. By detecting the ambient light intensity, the drying rack is transferred to the outside of the house to dry clothes at dawn, and the drying rack is transferred to the house to complete the collection of clothes when it is dark. When it rains, after raindrops are detected through the raindrop detection module, the system will automatically transfer the clothes to the room. In addition, the system can also realize functions such as UV sterilization and air drying. The test results show that all functions of the system can be realized normally and can be applied to commercial production. Compared with traditional clothes drying racks, the clothes drying rack system based on STM32 has the advantages of simplified structure, simple operation, strong and durable, and high cost performance.

Most view articles

Current Issue

Volume

Issue

Most Read

Most Cited

Most Downloaded