Intelligent Teaching Platform Research Articles

Research on Education and Teaching of Artificial Intelligence Enabling Intelligent Construction

This study is committed to in-depth analysis of the practical application of artificial intelligence in intelligent construction teaching and its empowerment effect. An efficient and intelligent teaching platform is built, which can intelligently recommend relevant learning resources according to students’ learning progress and feedback, and track students’ learning situation in real time. This personalized learning style not only improves the learning efficiency of students, but also enables them to better adapt and master the knowledge and skills in the field of intelligent construction. The introduction of artificial intelligence technology has innovated the method of intelligent construction teaching. Based on the learning analysis technology of big data, we can conduct in-depth analysis of students’ learning behaviors and achievements, so as to grasp students’ learning status and needs more accurately. These achievements not only show the great potential of artificial intelligence technology in the field of education, but also provide new ideas and methods for the reform and innovation of intelligent construction teaching.

Functional Analysis of English Carriers and Related Resources of Cultural Communication in Internet Media

Abstract In the Internet intelligent teaching platform, students’ demand for English cultural content is increasingly obvious. To help students quickly locate the overall content of resources in online autonomous learning, this study constructs a video annotation model for online teaching. This method classifies text by designing an optimized Bidirectional Encoder Representation from the Transformers model and designs a Text Rank keyword extraction model that integrates external knowledge and semantic feature weights. The extraction of knowledge points contained in audio and video resources can be realized. In the experimental data set, a relatively complete video content summary could be obtained by combining the first three sentences with the last two sentences. The F1 value of the classification model was up to 91.3%. In addition, the BERT-T model proposed in this article had the best effect on the experiment. Compared with the original BERT model, the macro-F1 was 0.8% higher and 0.5% higher than the Ro BERTA model. In the keyword extraction experiment, B-Text Rank was 2.19 and 2.85% higher than the traditional Text Rank in the two datasets. The experiment shows that the BERT-Text Rank network resource annotation model has excellent application performance in English online autonomous teaching and could guide students to learn.

The Path of Intelligent Teaching Platform Construction for Ideological and Political Education in Colleges and Universities under the Background of Artificial Intelligence

Abstract Enhancing the pedagogical model of ideological and political education represents a critical endeavor in contemporary educational institutions. With technological advancements, particularly in artificial intelligence, educational platforms encounter formidable challenges. This study proposes an advanced intelligent teaching platform tailored for ideological and political education at higher education institutions, constructed on the foundational principles of consistency, realism, human-centricity, purposefulness, operational feasibility, and systematic integration. This platform innovatively incorporates the Bidirectional Memory Enhancement Network (BMEN), which integrates an attention mechanism responsive to the unique memory and forgetting patterns of students. Consequently, a novel Knowledge Tracking Method Based on Bidirectional Memory Enhancement Attention (BMEAKT) is developed to precisely gauge students’ comprehension levels in ideological and political subjects. Empirical results indicate that this platform surpasses traditional baseline models in tracking knowledge, exhibiting General Area Under the Curve Metric (GAUCM) values between 0.6549 and 0.7234, thereby effectively assessing students’ mastery over the subject matter. A visual case study further validates the platform’s utility, demonstrating a 59.12% accuracy in predicting students’ correct responses to exercises. This research underscores a viable strategy for profoundly enhancing the instruction of ideological and political education in tertiary education settings.

The Role Mechanism and Optimization Path of Digital Technology-Driven Smart Teaching System Construction

Abstract The field of education is undergoing a digital transformation, and intelligent teaching, as an essential component, combined with modern technology, has contributed significantly to the innovation of teaching methods and learning effects. The innovative teaching system’s application and optimization path of digital technology is explored in depth in this study. Using quantitative and qualitative methods, it explores how digital technology can effectively enhance the intelligence and personalization of the teaching system. The utilization of teaching resources increased by 25% and students’ learning efficiency increased by 30% after digital technology was implemented. In addition, the intelligent teaching platform resulted in a 20% reduction in teaching costs and significantly improved learning quality. Innovative teaching is aided by digital technology, which further enhances the educational impact by optimizing the technology application path.

The Construction of English Smart Teaching Platform for Colleges and Universities Based on Deep Learning under the Core Idea of Functional Linguistics

Abstract This study explores the application of intelligent teaching in higher education, especially for the digital transformation of English learning. Relying on online English teaching resources, the article successfully constructs an innovative teaching platform for English teaching in higher education by integrating advanced tools such as deep learning technology, clustering algorithms, and Rasch models. The platform takes students’ self-management awareness as the core. It emphasizes teachers’ evidence-based teaching ability, while considering multidimensional factors such as teaching environment, emotions and characteristics to provide a comprehensive and interactive learning environment. Through in-depth analysis of the application effect of the platform, the study found that students’ agreement in all five key dimensions exceeded 0.24, especially in the teaching emotion dimension with the highest deal of 0.2970, and the results fully proved the significant role of the intelligent teaching platform in enhancing learning effect and stimulating learning interest. This study successfully realizes the efficient interaction between teachers and students. Also, it lays a solid foundation for constructing a natural, harmonious and energetic bright English teaching environment, which is of great theoretical and practical significance for promoting the modernization and transformation of the education and teaching system.

Reform and Exploration of BOPPPS Teaching Model based on Problem-Based Learning in the course of Data Structure and Algorithm

With the continuous development of computer science and technology, data structure and algorithm have become one of the core courses of computer major. However, traditional teaching methods are often difficult to stimulate students’ learning interest and initiative, resulting in students’ difficulty in flexibly applying the knowledge in practical application. Therefore, this paper proposes a BOPPPS teaching model based on problem-based learning (PBL). Through the introduction of practical problems, attract students’ attention, use BOPPPS mode to guide students to actively participate in classroom activities, improve students’ subjective initiative, and combine intelligent teaching platform and curriculum ideological and political elements to help students learn professional knowledge while cultivating correct outlook on life, values and world outlook.

Practical Exploration of Smart Classroom in Piano Teaching

Abstract In this paper, texture mapping technology is utilized to enhance the virtual reality piano teaching situation, and the piano classroom teaching data is integrated through big data statistical analysis methods. A deep neural network based on BERT+BiLSTM+CRF is used to train a named entity recognition model and complete the construction of a knowledge graph for piano subject data. Then, deep learning methods are used to extract the piano subject data and construct a visualized knowledge graph for the piano subject. Analyze the use of the Piano Smart Classroom teaching platform and the development of a blended teaching mode. The design requirements of the piano intelligent teaching platform are planned from two aspects: platform user roles and platform use cases, and the overall design of the piano intelligent teaching platform is carried out. The use of piano teaching video samples is a tool for calculating the teaching language ratio, analyzing the teaching interactions between teachers and students, and comparing the number of interactions between traditional teaching and smart classroom teaching. Analyze the effectiveness of piano-smart classroom teaching in three dimensions: cognition, emotion, and skill. The mean value of the specific content score of piano intelligent classroom teaching is 3.82, which is the single item with the highest mean value, and the piano teaching classroom supported by smart technology can show the piano teaching content more comprehensively.

Medical education environment perception and learning engagement in undergraduate nursing students: The mediating effect of self-regulated learning ability

AimTo investigate the interrelationships of medical education environment perception, learning engagement and self-regulated learning ability among Chinese undergraduate nursing students. BackgroundAfter the outbreak of COVID-19, great changes have taken place in the medical education environment, many offline teaching and academic activities have been replaced by online activities. Students’ learning engagement influences the efficiency of online learning. However, the mediating effect of self-regulated learning (SRL) ability between medical education environment perception and learning engagement is unclear. DesignThis study involved a cross-sectional descriptive correlational research. MethodsA total of 228 undergraduatenursing students who were attending online learning were included in this study.This investigation adopted Dundee Ready Educational Environment Measure scale (DREEM), Motivated Strategies for Learning Questionnaire (MSLQ) and Utrecht Work Engagement Scale-Student scale (UWES-S) to respectively know about the levels of medical education environment perception, self-regulating and learning engagement. The structural equation model and bootstrap method were used to clarify the association and interaction among the three variables. ResultsThe scores of nursing students' medical education environment perception, SRL ability and learning engagement were 135.64 ± 15.12, 161.39 ± 22.57 and 68.01 ± 11.77, respectively. Perception of medical education environment directly affects learning engagement (β = 0.556, P < 0.001). SRL ability partially mediated the effect of medical environment perception on learning engagement (x2/df = 1.427, RMSEA = 0.043, GFI = 0.962, NFI = 0.954, TLI = 0.980, CFI = 0.986), and the variance was 30.8 %. ConclusionSRL ability plays a mediating role between medical education environment perception and learning engagement. Nursing educators should continuously optimize the online education environment, such as designing intelligent teaching platform or software, adopting interactive teaching methods, strengthening professional value education and encouraging peer learning, so as to meet the requirements of nursing students' learning engagement in the new medical education environment.

Innovation and QoS Performance Evaluation Analysis of Real-Time Sharing Platform of Intelligent Courses in Colleges

With the gradual rise of online MOOC teaching platforms, real-time sharing algorithms and QoS performance evaluation systems for online intelligent courses in colleges and universities are becoming more and more important. First of all, introduce the intelligent cloud teaching method with cloud classroom app tools as the core application, and use the smart campus platform to "fancy teaching" classrooms, MOOCs, live broadcasts and other popular forms such as animations, micro-videos, WeChat and other popular forms and language communication management. Knowledge and principles, followed by autonomous and intelligent methods used in implementing QoS decision-making and control in a cognitive network environment, to solve the problems of poor adaptability and comprehensiveness of dynamic and changeable networks. It can effectively improve the utilization rate of network resources and ensure the end-to-end QoS of the network. The results show that: NET, XML and other key technologies, on this basis, the intelligent teaching platform solution of NET, the framework and overall design of the teaching platform are introduced.

Empirical Analysis of Remote Monitoring for the Development of Jinxiu Yao Cultural Tourism Resources Based on Real-Time Unmanned Sensor Image Technology

In the process of classroom teaching, the intelligent cloud teaching method with the blue ink cloud class app tool as the core application is introduced, and the smart campus platform is used to "fancy teaching" in the form of animation, micro-video, micro-class, MOOC, live broadcast, etc. The popular form and language convey the relevant knowledge and principles of management, mainly refers to the autonomous and intelligent methods adopted when implementing QoS decision-making and control in the cognitive network environment, to solve the problems of poor adaptability and comprehensiveness of dynamic and changeable networks. It can effectively improve the utilization of network resources and ensure the end-to-end QoS of the network. And emphatically introduced the ADO involved in the system development process. NET, XML and other key technologies, on this basis, the paper introduces the NET's intelligent teaching platform solution, the framework and overall design of the teaching platform.

Research on Four-Dimensional Innovative Intelligent Education Platform Based on Cloud Edge-End Architecture.

In order to solve the problem of backward talent training mode in agriculture-related colleges and universities, this paper proposed a scheme to build a smart teaching platform by using cloud architecture, combining virtualization and twinning technology. The intelligent teaching platform is developed using the 5G converged network architecture and cloud edge system architecture. The intelligent teaching platform has realized such teaching modes as real scene teaching, combination of virtual and real teaching, immersive teaching, multi-teacher collaborative teaching and live interactive teaching. The smart teaching platform has established a new model of digital education, with the functions of teaching, teaching research, teaching management and teaching evaluation, and provides smart teaching cloud services for teachers and students of agriculture-related colleges and universities as well as external tutors. The research of multi-dimensional evaluation system solves the precise management of teaching process. The teaching effect has been significantly improved, and the management cost has been reduced, which meets the goal of training new agricultural talents in agricultural and forestry colleges.

Design and Application of Yoga Intelligent Teaching Platform Based on Internet of Things

With the rapid development of economy, science, and technology, people’s pursuit of quality of life continues to improve, leisure sports have gradually become a trend, and yoga, as a traditional and fashionable way of fitness, is favored by more and more people. However, the traditional training class yoga teaching time is fixed, which will have many inconveniences for professionals. However, learning according to the teaching video cannot guarantee the accuracy of the movement and may not achieve the training effect. Therefore, in this situation, intelligent e-yoga teaching is of great significance to improve the training level. This system is based on Internet of things technology, selects Kinect as the sensing carrier of human motion information, and designs an electronic yoga teaching system. The system integrates the functions of motion information acquisition and motion evaluation. First, standard yoga movements are collected through Kinect as a comparison template for yoga training. Second, the system collects the trainers’ action data, uses Hausdorff distance algorithm to evaluate the similarity of action flow, and identifies the action name based on the threshold. Third, through the motion evaluation algorithm based on joint point angle measurement, it points out the joint points whose actions are not in place. Based on the completion time of the action, the action speed is evaluated. Finally, the system outputs the evaluation results in the form of text and voice through text conversion technology. The system can carry out efficient posture recognition and can achieve the purpose of evaluating the training quality and giving guiding suggestions. It can meet the basic training needs of users and has great application value.

Research on the Optimization of International News Communication Teaching Mode Based on Cluster Analysis under the Background of Big Data

With the rapid development of the Internet, the new and advanced teaching mode is becoming increasingly popular, which has become a focus in the field of education in recent years. Therefore, the research and development of online teaching platforms have become a hot topic. This article takes international news communication as the research background, aiming at the unclear existing level and weak target. The teaching mode of the single teaching form puts forward the “embedded online intelligent teaching platform.” A set of online innovative teaching platforms for large embedded systems is studied and established. The improved clustering analysis uses the GBKM clustering analysis algorithm to integrate grid clustering and K-means clustering and introduces the new meshing algorithm and the new function to calculate the density threshold. Through theoretical analysis and experimental verification, the superiority of the GBKM algorithm is demonstrated. As the GBKM clustering analysis algorithm is the core algorithm of a personalized smart learning system, it is applied to an online intelligent teaching platform. The experimental results show that the teaching effect of the optimized teaching mode is significantly improved.

THE EFFECT OF MIXED TEACHING MODE BASED ON NETWORK OPEN COURSE AND INTELLIGENT TEACHING PLATFORM ON ALLEVIATING STUDENTS' PSYCHOLOGICAL ANXIETY

THE EFFECT OF MIXED TEACHING MODE BASED ON NETWORK OPEN COURSE AND INTELLIGENT TEACHING PLATFORM ON ALLEVIATING STUDENTS' PSYCHOLOGICAL ANXIETY

Design of Multimedia Intelligent Teaching Platform for Preschool Curriculum Based on Edge Computing

Intelligent teaching platform integrates the respective advantages of network and traditional teaching and makes the teaching content develop in a diversified direction. However, due to the poor response performance of the platform, a multimedia intelligent teaching platform for children’s courses based on edge computing is designed. Construct the overall framework of the teaching platform under the edge computing, and get the functions that the platform needs to have. Set the authority and role of administrators, teachers, and children’s parents, respectively. Develop Android server and client, determine web server, define main parameters, evaluate the quality of teaching platform, and complete the design of teaching platform. The experimental results show that the platform responds quickly, provides users with good experience effect, and has good application performance.

Research and Practice Online-offline Blended Teaching Mode on Computer Networks Curriculum

After combing the basic ideas and development processes of the online-offline blended teaching, under regular epidemic prevention and control and in the context of the “Computer Networks” curriculum reform, analyzes the pain point problems of the course, and constructs a problem-oriented online-offline blended teaching mode, explains the design ideas for blended teaching from teaching content and resources, teaching organizations and implementation, assessment methods, etc. Related SPOC is developed on the online learning platform China University MOOC. The implementation process includes before class, during class and after class. The teaching contents are network architecture and hierarchical model, basic communication principle, IP packet forwarding, reliable transmission principle, routing algorithm, mainstream network application, etc.. Verified by teaching practice, a good teaching effect has been obtained. The innovation of this research is to integrate the intelligent education environment, advanced teaching concepts and optimal teaching design to construct a scientific and efficient blended teaching model based on the intelligent teaching platform.

A Chinese Intelligent Teaching Platform for Colleges Based on Cloud Computing

In China, the Chinese subject is called “the mother of the encyclopedia.” Learning Chinese well is the basic condition for learning other subjects well. Therefore, Chinese education has always undertaken the important task of teaching the mother tongue and cultural inheritance and has a great influence on the development process of China’s education. Society is facing new opportunities and challenges since the 21st century, and all the mobile Internet, cloud computing, and Internet of Things achieve great development. Using the increasingly mature technology of data information collection, analysis, and processing can realize a more comprehensive evaluation of students in teaching activities. In the current upsurge of big data, it is more and more widely used in the field of education, such as learning analysis, network education platform, education information management platform, education AP, and smart campus. In this context, Chinese teaching needs more open courses, which requires us to organically integrate the existing information technology and Chinese teaching, and on this basis, integrate modern educational data sets and learning analysis technology into Chinese teaching and learning, to promote the improvement of the quality of language teaching and learning. The development of information technology in the intelligent era provides an opportunity for the establishment and application of an intelligent classroom. This paper constructs an intelligent and efficient new classroom equipped with smart devices teaching mode based on defining the concept and connotation of a classroom equipped with smart devices. The proposed model is combined with the current situation and the development of classrooms equipped with smart devices. It also analyzes the difficulties and pain points of traditional College Chinese teaching. The research results can provide a reference for the implementation of intelligent classroom teaching mode in College Chinese and other general courses in higher vocational colleges.

Effective Integration of Computer and Ideological and Political Education Based on Intelligent Teaching Platform

The traditional mechanism of ideological and political education is relatively single, no matter it is teaching idea, or teaching method, there are great limitations, which affect the effectiveness of ideological and political education. In the environment of wisdom education, we will give full play to the advantages of computer technology and reconstruct the system of ideological and political education. We will innovate the effectiveness of ideological and political education on the basis of accurately grasping students' demands for ideological and political study, improving students' understanding of ideological and political education. Based on the intelligence teaching environment, this paper puts forward the effective integration path of computer and ideological and political education based on the intelligence teaching platform.

Construction of Intelligent Business English Teaching Platform Based on Modern Information Technology

With the development of information technology, it is of great practical significance to construct an intelligent teaching platform for business English to supplement the traditional business English teaching. Through the analysis of the current situation of Business English teaching, we can see that the emphasis on theory teaching has neglected the cultivation of students' Business English practical skills. Facing the new business English application environment, by highlighting the characteristics of professionalism and innovation, giving full play to the advantages of information technology application, and building an intelligent teaching platform for business English, promoting business English teaching in an all-round way and realizing real reform.

Research on the Construction of Artificial Intelligence Aesthetic Education Platform Based on Moodle

At present, most schools are short of intelligent teaching platform resources for aesthetic education, which leads to the lack of personality education and emotional education, as well as the poor interaction and experience of emotional communication. Based on this, this paper first analyses the connotation and role of Moodle info platform, then studies the current situation and problems of aesthetic education info teaching, and finally gives the construction strategy of AI aesthetic education platform based on Moodle.