Construction Of Teaching Platform Research Articles

Construction of an English-Chinese Bilingual Classroom Platform for Psychology Under the Background of Environmental Health

Due to the growth of China's social economy and culture, the demand for psychology is becoming more and more urgent. Environmental health is the unity of people's behavioral health that constitutes the environment and environmental conditions that meet people's basic needs. In this paper, the improved a priori algorithm is combined with English-Chinese bilingual classroom of university students' psychology. It is based on the collected data and basic information of university students' psychology, which provides ideas for the construction of English-Chinese bilingual classroom and teaching platform of psychology under the background of environmental health. The consistency test results show that the consistency between the proposed algorithm and the manual processing method can reach over 96.5%, that is, the accuracy of the algorithm is over 96.5%. Compared with the traditional a priori algorithm, the improved a priori algorithm has a higher recognition accuracy, with the accuracy increased by 21.36% and the recall increased by 13.99%.

The translation teaching platform based on multilingual corpora of Xi Jinping: The Governance of China: Design, resources and applications

Over the last two decades, the domain of corpus-based translation studies has evolved into a significant paradigm, instrumental in probing a diverse array of scholarly inquiries. This article demonstrates the various uses of corpus analysis techniques that have gained popularity in translation studies, and it presents a new multilingual corpus. This corpus showcases the evolving nature of the field as it expands to accommodate new conceptual frameworks and methodologies. In addition to addressing the use of corpora in translating, learning, and analyzing translation within the context of multilingual corpora and machine translation, this article reports on a pilot project concerning the construction of an AI-based translation teaching platform. Utilizing multilingual corpora, the platform aims to create a foundation for extensive translation instruction and multilingual training at the tertiary level. Following a discussion on the evolution of corpus-based approaches in translation studies and their connection to the growth of translation education as a profession, the paper describes the actual design of the platform. This includes the theoretical framework, the methodology of annotation, and the execution of the software programme. These corpora are relevant not only to individuals studying translation but also to the related multilingual corpora, comprising collections of originals and their translations in the same language.

Exploration and Reflection on the Construction of Intelligent Manufacturing Professional Clusters for Industrial Internet

In the trend of the transformation of the manufacturing industry towards intelligence promoted by industrial internet technology, the traditional curriculum system related to the manufacturing industry cannot meet the requirements of society and industry for talent knowledge structure and skill training, which puts forward new requirements for undergraduate major construction and development. This article relies on the advantages of the industrial internet location in the Yangtze River Delta region, combined with the needs of regional industrial development, and the problems in the current process of intelligent manufacturing professional construction. Taking the construction of the intelligent manufacturing major cluster at the Nanjing University of Science and Technology ZiJin College as an example, in response to the needs of the development of the intelligent manufacturing industry and the problems in the current process of cultivating intelligent manufacturing talents, this article focuses on the construction of the teaching staff, revision of the curriculum system, construction of scientific research and virtual simulation teaching platforms, multi-disciplinary and multi-angle collaborative education models, providing reference for the reform of applied engineering and technology talent cultivation models in the manufacturing industry in the era of industrial internet.

Construction and Application of a Landscape Design Teaching Platform Driven by Artificial Intelligence

Landscape design is a measure of the development of urbanization process and the improvement of people's happiness index. The process of urbanization will involve landscape design. The study and teaching of landscape design is the core teaching method of landscape design research. However, with the diversified development of landscape design schemes and the characteristics of landscape 3D schemes, traditional landscape teaching schemes can no longer meet the needs of students and teaching, which also limits the effect of students' understanding and learning of landscape design schemes. Digital technology has been widely used in the field of landscape design, and has shown good results. This research uses the artificial intelligence method of digital technology to study the relevant factors in the teaching task of landscape design. This article mainly discusses three characteristics of students' design preference, landscape layout, and landscape pattern in landscape design teaching, which are also important factors affecting landscape design.

Construction of Online Interactive Teaching Platform for Drama, Film and Television Majors Based on Fuzzy Multi-Objective Decision Making Algorithm

Abstract This study introduces a multi-objective decision-making model tailored for developing an educational platform, blending economic considerations with the platform’s operational constraints. It employs a fuzzy set approach for algorithm design, utilizing a method that minimizes deviations in membership values for solving. The research culminates creating an online interactive teaching platform for drama and film studies. This platform is architecturally founded on the B/S framework, incorporates functional modules derived from its educational objectives, and utilizes MySQL for data flow design. Comparing it to conventional teaching methods, a comprehensive evaluation demonstrates its practical application in real-world teaching scenarios. Performance tests reveal module response times between 2.7 to 3.0 seconds, with compatibility tests ranging from 0.11 to 0.36 seconds. Under a load of 200 simultaneous users, the database connection pool maintains an optimal size of about 35 connections, with thread counts near 50 and zero idle database connections. The study also quantifies the platform’s impact on various educational aspects, showing correlation coefficients for learning attitude (0.88), motivation (0.50), behavior (0.72), and teacher-student (0.15) as well as student-student interactions (0.27) with the learning effectiveness of the platform.

The Construction of Interactive Teaching Platform for College English Based on Digital Intelligence Technology

Abstract In the teaching platform, providing students with personalized learning solutions by tracking their learning status is the current trend in the development and research of digital intelligence teaching. In this paper, a Bayesian knowledge tracking model based on multiple interactions is used to construct a knowledge point tracking module, and students’ learning behaviors and memory forgetting factors are simultaneously integrated into the IBKT model to construct the PRL-PLP algorithm, and then a Bayesian knowledge tracking model integrating the behaviors and previous factors is obtained, and real-time prediction of students’ mastery is realized using the extended model. Putting the platform into use, it was observed that the total number of student logins to the platform in two days was 680, with an average of 340 logins per day. After using this educational platform for half a month, the students of class A showed an overall improvement in their English test scores compared to their scores before using the platform, with the number of students scoring less than 60 narrowing down from 5 to 0, and an increase of 5 students between the subsections of 91-100, and an increase in the subsections of 81-90, also from 26 to 43 students. By using the IBKT model in the online teaching platform, teachers and students can receive timely feedback on prediction results, teaching efficiency can be improved, and personalized learning guidance can be provided to students.

Construction of Interactive Teaching Platform for College Language Courses Based on Speech Recognition Technology

Abstract This study constructs an interactive teaching platform based on speech recognition technology for language courses in colleges and universities. The study begins with preprocessing speech signals, including sampling, enhancement, pre-emphasis and other steps. Subsequently, speech features are extracted using Improved Mel Falling Spectral Coefficients (IMFCC), and features are optimized by combining Principal Component Analysis (PCA). In addition, the study uses the Long Short-Term Memory (LSTM) network and Gated Recurrent Unit (GRU) to improve speech recognition’s accuracy and efficiency. The experimental results show that the method in this study achieves an average accuracy of 98% in classroom speech emotion recognition, which is a significant improvement over the traditional ADASYN method. This paper also provides an in-depth study of classroom interaction behavior by comprehensively analyzing the speech recognition results. The study shows that the platform can effectively promote the interaction between teachers and students and improve the quality of teaching. This study provides an efficient interactive tool for language teaching in colleges and universities, which helps to realize a personalized and dynamic teaching process.

Construction of Online Interactive Teaching Platform for College English Based on Multilayer Perceptual Machine Modeling

Abstract Most of the existing English online teaching platforms are just digital replicas of offline teaching, which cannot fully utilize the advantages of information technology. Based on the learning theory of constructivism, this paper builds the functional architecture of a personalized English interactive teaching platform and completes the design of the main functional modules. According to the quantitative results of the platform’s user proposition requirements, a matrix description method for English test papers is proposed, and an algorithm is designed to realize the automatic generation of test papers. Meanwhile, the resource recommendation mechanism of the English platform is optimized using a multilayer perceptual machine. Unstructured English learning resources are processed based on the word vector representation method, and for the problem of insufficient processing of nonlinear data in the DN-CBR model, multilayer training is carried out using the MLP to improve the perceptual degree of this part of the data, and the design goals are verified through the test of the teaching platform. The correlation coefficient between self-assessment difficulty and topic difficulty is 0.368, and the correlation coefficient between self-assessment difficulty and positive error is 0.163, indicating that there is a moderate correlation between learners’ self-assessment difficulty and the difficulty of the system topics and between learners’ self-assessment difficulty and positive error. The MLP-based pushed questions’ difficulty is adapted to the learner’s personalization level by dynamically revising it based on their learning process data.

A study on the construction of an online interactive teaching platform for English in colleges and universities based on the fusion of multi-source and multi-objective statistical information

Abstract This paper firstly combines English teaching in colleges and universities and big data technology and proposes the information technology of English teaching in colleges and universities based on the fusion of multi-source and multi-objective statistical information and conducts research on the traditional teaching optimization algorithm and multi-task teaching optimization algorithm to promote English teaching in colleges and universities. Secondly, in the “teaching” phase, teachers and teaching assistants teach according to the difference between their average level and the class average to increase the value of each student’s factor and increase individual exploration and group diversity in the “learning” phase. Then, the English teaching platform was designed and studied regarding system structure and platform function, simulated and analyzed. The results show that the efficiency of the multitasking optimization algorithm is increased by 21.85% compared with the traditional teaching optimization algorithm for the number of concurrent users from 10 to 100 and 16.46% when the number of concurrent users is 100, which has a positive effect on students’ English learning efficiency.

Practice and Research on Blended Teaching Mode of Computer Operating System Course

Since MOOC initiated the era of distance digital education, the blended teaching mode has attracted wide attention from the society. The course of computer operating system is one of the most difficult courses to teach and learn in computer major because of its many contents, wide coverage, abstract concepts and difficulty to understand. In order to effectively mobilize the enthusiasm and initiative of students in learning the course, this paper designs a suitable online and offline blended teaching mode from the perspectives of teaching concept, teaching content, teaching methods and blended teaching platform construction, so as to improve the efficiency of teaching and learning of operating system course.

Innovative research on the construction of experimental teaching platform of economics and management in colleges and universities based on the background of big data

Abstract Under the wave of big data technology development, the traditional experimental teaching methods in colleges and universities are difficult to meet the requirements of the educational objectives of the times, and teaching innovation is the focus of teaching research in many colleges and universities, which has attracted the attention of the majority of educational researchers. This paper focuses on the innovation of the construction of experimental teaching platforms of economic management in colleges and universities based on the background of big data. This paper explains the necessity of innovation of economic management experimental teaching platform, proposes the basic framework of innovation of economic management experimental teaching platform (Kube storage cloud data, front-end design, collaborative filtering algorithm), and researches and discusses the innovation mode and operation mechanism of economic management experimental teaching platform based on experimental teaching construction, based on the similarity between the specified time point and other time points The impact of the time factor on the recommendation results of experimental resources is analyzed. The results of experimental teaching resources recommendation reflect the resource recommendation ability of this platform and compare with H5 technology experimental teaching platform and content analysis method experimental platform to analyze the changing trend of MAE of teaching resources recommendation; analyze the number of concurrent connections and clicks of this platform to verify the performance of this platform. The research results show that this paper platform’s experimental teaching resources recommendation effect with MAE value of 0.51 is better than other platforms. The reason is that this paper platform’s experimental teaching resources recommendation fully takes into account the time factor and co-rated experimental teaching resources, so the accuracy of experimental teaching resources recommendation is significantly improved. This study can improve the quality and teaching efficiency of universities and train more excellent economic management talents for the country, which is of great historical significance to the development of China’s economy and education.

Construction and Application of Virtual Teaching Platform based on Multimedia and VR Technology

Construction and Application of Virtual Teaching Platform based on Multimedia and VR Technology

A General Construction Method of Virtual Simulation Experiment Platform Based on Bibliometrics and Analytic Hierarchy Process

Virtual simulation can solve the challenges of high cost, long cycle time, and inaccessibility in traditional experimental teaching, which is far-reaching for talent training. This study combines bibliometric visualization theory with AHP (Analytic Hierarchy Process). It establishes a hierarchical evaluation model of a virtual simulation experimental teaching platform based on 842 questionnaires and 4787 articles, including 68,306 citation records, and deconstructing the complex evaluation problem into several multidimensional factors by attributes and relationships. Based on this, a virtual simulation experimental teaching platform construction scheme for IP protocol analysis based on a network covert communication perspective is outputted, which is compatible with the research results. The experimental platform takes a task-driven teaching method as the core, mainly including four modules of context creation, task determination, independent learning, and effect evaluation. The experience of building this platform can be extended to other disciplines, leading the teaching reform exploration of practice-based, innovation-focused, and engineering-critical, helping to implement the flipped classroom, and promoting the development of education modernization.

Construction and Management of Chemistry Public Experimental Teaching Platform under Concentrated Training Background

Construction and Management of Chemistry Public Experimental Teaching Platform under Concentrated Training Background

Application of Exercise-Correlated Knowledge Proficiency Tracing Model based on Multiple Learning Objectives in English Teaching Curriculum Resources

The advanced invention of information technology overcomes the limitations of traditional teaching methods. The English-oriented online teaching system not only has rich course resources, but also provides technical support for students’ personalized learning. Therefore, using big data mining techniques may help to analyze students deeply and develop personalized study plans and content. Aiming at the deficiencies of online English teaching platform in the task of knowledge level diagnosis, an Exercise-correlated Knowledge Proficiency Tracing (EKPT) model that integrates multi-objective learning factors is proposed. The learning model maps students and practice information into meaningful knowledge space through practice and knowledge-related information, and quantifies students’ knowledge learning process through forgetting curve theory and learning curve theory. The experimental test results show that the EKPT model has the best performance in knowledge ability prediction and learning performance prediction. The mean absolute error (MAE) values of the EKPT model in the English1 dataset, English2 dataset, written auxiliary dataset and adaptive dataset are 0.32, 0.25, 0.39 and 0.34, respectively, with the smallest error. Therefore, the proposed EKPT model meets the requirements of English online learning. The research content has important reference value for the construction of online English teaching platform.

Application of Internet +3D printing technology in the construction of English teaching platform

In order to explore the application of Internet +3D printing technology in the construction of English teaching platform, the author first elaborated the concept of teaching, then, based on learning theory, "learning by doing" theory and activity theory, a framework of learning activity design in the application of 3D printing technology in teaching is constructed. Compared with the traditional teaching model, the Internet + flipped classroom teaching model can make full use of the fragmentary learning time before and after class, task-based teaching activities should be carried out in face-to-face teaching classes, but they should be properly applied according to different teaching situations in order to exert their effectiveness, for example, in the teaching of "3D printing technology" in the course of "Mechanical Engineering English", according to the learning situation of higher vocational students, the knowledge points with low memory and difficulty should be placed before class, difficult knowledge points, task-based teaching activities and laboratory observation and operation activities are put into the class for "partial flipping", supplemented by after-class expansion, so that students can grasp knowledge and skillfully use skills.

The Construction of English Teaching Platform Based on Artificial Intelligence Under Computer-Aided Design

Computer-Aided Design and Applications is an international journal on the applications of CAD and CAM. It publishes papers in the general domain of CAD plus in emerging fields like bio-CAD, nano-CAD, soft-CAD, garment-CAD, PLM, PDM, CAD data mining, CAD and the internet, CAD education, genetic algorithms and CAD engines. The journal is aimed at all developers and users of CAD technology to ptovide CAD solutions for various stages of design and manufacturing. The journal publishes all about Computer-Aided Design and Computer-Aided technologies.

TOWARDS THE O2O TEACHING PLATFORM BASED ON TEACHING PRACTICE IN UNIVERSITIES

Due to the differences of individual learners in universities, the existing teaching methods and modes cannot meet the different individual learning needs of learners. The O2O (i.e. Online to Offline) teaching mode using the teaching platform residing in Internet cloud is a product of the development of the times, which breaks the existing teaching management concept and mode. The O2O teaching mode will have a positive impact on the direction of teaching reform in universities. Online learning will take place at any time and any place, so learners can get the best teaching resources and they can get personalized learning and counseling offline. The construction of O2O teaching platform is the key to the transformation from traditional teaching mode to O2O teaching mode.

Construction and Application of Interactive Teaching Platform for Landscape Architecture Design based on Computer-Aided Virtual Reality Technology

Computer-Aided Design and Applications is an international journal on the applications of CAD and CAM. It publishes papers in the general domain of CAD plus in emerging fields like bio-CAD, nano-CAD, soft-CAD, garment-CAD, PLM, PDM, CAD data mining, CAD and the internet, CAD education, genetic algorithms and CAD engines. The journal is aimed at all developers and users of CAD technology to ptovide CAD solutions for various stages of design and manufacturing. The journal publishes all about Computer-Aided Design and Computer-Aided technologies.

Construction of Network Security enforcement Virtual Simulation Experiment and Teaching Platform

Abstract: In view of the issues in virtual simulation experiment teaching of network security enforcement, this paper analyzes the need of construction of the virtual simulation experiment teaching platform, that expounds the construction content of virtual simulation experiment platform from 3 aspects of virtual simulation course system, experimental area and teaching mode. Network security enforcement virtual simulation experiment and teaching platform is made with 3 core experimental modules of network security scene enforcement, electronic data scene forensics, and investigation of cyber-crime cases. The coaching of students’ higher order thinking and actual combat ability is reinforced publically security schools. Keywords: Virtual simulation, Experimental teaching platform, Network security law enforcement.