Teaching Design of Course Building Decoration Materials Based on Generative Artificial Intelligence

With the digital transformation of global education and China's emphasis on education digital,generative AI technology has been widely used in the field of higher education.In this paper,the development of generative AI technology and its potential in personalized learning,interactive content creation and adaptive assessment in education were introduced firstly.Then,the application case of generative AI tools in teaching content creation,scenario-based teaching content development,visual teaching content development,complex concept deconstruction and analogy,student-led application practice and other aspects in the teaching of Building Decoration Materials was discussed.Through the teaching experiment and effect evaluation,the positive influence of generative AI technology on the improvement of students'learning effect and teaching efficiency was verified.Finally,some thoughts and inspirations on the combination of educational theory and generative AI technology,the integration of teaching design and generative AI technology,and the practice cases and effect evaluation were put forward,and the importance of teacher role transformation and personalized learning path design was emphasized to provide theoretical and practical support for the innovative development of higher education.

Empowerment of Artificial Intelligence in Teaching Reform of Ideological and Political Courses in Universities

The rapid development of artificial intelligence(AI)technology has brought new opportunities and challenges to the field of education.As an important link in cultivating students’comprehensive quality and socialist core values,it is necessary to carry out continuous teaching reform and innovation in ideological and political courses in colleges and universities.Based on the concept of AI empowering the teaching reform of ideological and political courses,this study aims to explore how to use artificial intelligence technology to improve the teaching effect and learning experience of ideological and political courses.The research first analyzes the application status of artificial intelligence technology in education,and then discusses the application potential of artificial intelligence in ideological and political courses.Subsequently,the teaching reform strategy of ideological and political courses based on artificial intelligence is proposed,including the use of virtual reality technology,the application of intelligent auxiliary teaching tools to enhance personalized teaching,and the construction of an intelligent learning management system.Lastly,a case analysis is conducted to explore the implementation effect of the teaching reform of ideological and political courses in universities.The results showed that the application of artificial intelligence technology can effectively improve the teaching effect and learning experience of ideological and political courses,and provide new ideas and methods for the teaching reform of ideological and political courses in universities.

Research on the Application of Intelligent Bionic Robot Horse in Juvenile Equestrian Teaching Case Study: Beijing Chaoyang Park Youth Equestrian Center

Research purposes:in this study,the intelligent bionic robotic horse is introduced into the equestrian teaching for teenagers,compared with the traditional teaching mode of using real horses.This research aims to explore the effectiveness of using intelligent bionic robotic horse in equestrian teaching for teenagers,as well as to promote the further development of equestrian teaching for teenagers in China,and to promote the introduction of new technology into the equestrian teaching area in the age of internet.Research methods:the methods used were literature method;mathematical statistics;interviewing the equestrian coaches who participated in the experiment;experimental method.The intelligent bionic robotic horse used in this research is the GETTAEN intelligent bionic robotic horse produced by Joy Game Technology Co.,Ltd.The bionic robotic horse is equipped with Internet technology,and the course is supervised and produced by senior coaches of China Equestrian Team.It also includes multiple operation modes.In this study,40 amateur students in Beijing Chaoyang Park Youth Equestrian Center were selected as the experimental subjects.Students will spend 40 h on studying how to ride a horse.Twenty(20)students in the experimental group,they are accommodated with 20 h of bionic robotic horse courses and 20 h of real horse course;20 students in the control group were taught in the traditional teaching mode with 40 h of real horse courses.Results:(1)in horseback physical fitness test,the average value of the control group was 101.9 s;325.6 s in the experimental group.Independent sample T test p<0.05 has significant difference,the horseback physical performance in experimental group is better than the control group.(2)in horseback physical balance test,the average value of the control group was 3.75,and the average value of the experimental group was 7.1.Independent sample T test p<0.05 has significant difference,the horseback physical balance test results in experimental group have significant difference,and the experimental group is better than the control group.(3)The interview method was used to interview the equestrian coaches who participated in the experiment,coaches think that the bionic robotic horse can speed up the learning progress and has a strong technical consolidation,especially for teaching amateurs;but for the time being,it cannot meet the training and improvement target of the actual horse control ability and the ability to grasp the route,and such experience is not real and good enough for senior students.Conclusion:using real horse and intelligent bionic robotic horse combined,one can improve the teaching effectiveness and promote students’adaptation to horseback and technical mastery.But for the time being,it is only suitable for students with weak foundation or zero foundation.The capability of intelligent bionic robotic horse needs to be strengthened,and technological innovation is needed to adapt to all kinds of students.

A Discussion on the Practical Teaching Reform of Intelligent Mobile Terminal Technology Course

In this intelligent era,there is a high market demand for professional engineering talents in the computer industry.Based on engineering education accreditation,this paper briefly discusses the practical teaching reform of the intelligent mobile terminal technology course,which involves integrating theory with practical,taking students as the center,focusing on practical teaching,strengthening students’practical skills and computer application development skills,as well as promoting the construction and development of engineering accreditation.

Enhancing College English Teachers’Teaching and Practical Abilities in the New Era:The Role of Educational Technology Amid US-China AI Rivalry

In the 21st century,the rapid development of artificial intelligence(AI)and educational technology has revolutionized the global education landscape.As the United States and China engage in strategic competition in the AI field,the impact of this rivalry extends beyond technology and economics,permeating education and international relations.This paper explores how educational technology can be leveraged to enhance the teaching and practical abilities of college English teachers in China within the context of the US-China AI competition.The intersection of AI development,educational strategies,and international diplomacy provides a unique backdrop for examining the potential and challenges of integrating advanced technology in English language teaching(ELT).This paper aims to provide insights for policymakers,educators,and researchers on how to effectively utilize educational technology to enhance the teaching and practical abilities of college English teachers,emphasizing the importance of strategic planning and international cooperation in this rapidly evolving field.

Research on the Intelligent Teaching Model of Principles of Economics Course under the New Media

With the rapid development of the internet,smart classroom has become the research interest of modern-day educational informatization.With Tiktok,WeChat,QQ,and other new media,the intelligent teaching model of"new media+education" has been derived.The research subject in this study is the economic and management xmdergraduate course,Principles of Economics.In regard to that,it is expounded based on the new media and an intelligent teaching model is designed in line with the development of colleges and universities in the new era to change the plight of the traditional classroom teaching model,stimulate learners'enthusiasm and interest in learning,as well as improve the teaching effect.

The Intelligent Teaching Resource Program： Applications to Writing

This paper examined the computer-assisted TRP （Teaching Resource Program）, which is an intelligent writing program. Different from previous research, this study emphasized TRP＇s integrative and holistic functions of intelligent analysis, intelligent scoring, and intelligent comment on writing pieces. In what follows, this paper conducted a study of intelligent essay scoring system related to intelligent analysis, intelligent scoring, and intelligent comment of the writing pieces. Also, this paper provided a literature review of existing computer-assisted essay scoring systems and analyzed the advantages and disadvantages of them. Based on these findings in our research, we can conclude that the integrative and holistic computer-assisted TRP can effectively analyze, score, and comment essays, consequently enhancing the writing performance. Some useful implications from this study include that the computer-assisted TRP should be further integrated with writing learning and instruction

Real- Time Color Enhancement Method Used for Intelligent Mobile Terminals

In certain environments and under some conditions, the video images taken by the intelligent mobile video phones seem dark, and the colors are not bright or saturated enough.This paper presents an adaptive method to enhance the video image brightness visualization and the color performance depending on the certain hardware property and function parameters. The experimental results prove that this method can enhance the colors and the contrast of the video images, based on the estimated quality feature values of each frame, without using the extra Digital Signal Processor (DSP).

Impact of NGN Architecture by Intelligent Terminals

This paper discusses the impacts on the existing NGN network architecture by the intelligent terminals or NGN terminals. An economical and simple network with multitudes of services can be realized if terminal intelligence is utilized for functions traditionally performed by the network. The existing terminals without required intelligence can also be supported via terminal emulation at the edge of the network. Communication is established between the interested parties by the combined efforts of the NGN terminals and the network. A possible network architecture where the NGN terminals and NGN network co-operation is suggested. The benefits for such network, such as increased network robustness, interoperability and scalability, are explored in this paper.

Effectiveness of Rain Classroom Intelligent Teaching Design : A Case Study of the Course of Spring Water Tourism Resources

[Objectives]To evaluate the effectiveness of Rain Classroom intelligent teaching in the course of Spring Water Tourism Resources.[Methods]The course of Spring Water Tourism Resources in the course of Overview of Tourism Resources was taken as an example,the pre-class preparation,in-class teaching,and after-class evaluation links were designed separately through the Rain Classroom platform.Then,a questionnaire survey was carried out for the students of Spring Water Tourism Resources.[Results]About 58.3%of the students believed that the greatest advantage of using the Rain Classroom teaching platform is that the learning method is flexible and can improve the ability of independent learning;61.78%of students stated that playing 3D animation in the classroom has the best effect for learning different tourism resources;with the aid of the Rain Classroom platform,the communication between teachers and students becomes more timely,and the students' ability to deal with practical problems can be practiced.[Conclusions]This study is intended to build an intelligent classroom model suitable for tourism management department based on the Rain Classroom platform.It is recommended to promote and apply this model in the teaching of tourism management.

Research on the Multi-Interactive Intelligent Teaching Model of College English in the Information Technology Environment

The multi-interactive teaching mode based on the information technology is a new teaching mode, which promotes students' autonomous learning and research-oriented learning through the online and offline effective interaction in and out of class, fully embodying the principle of the learning-orientation. Based on this, this paper focuses on the connotation and the theoretical basis o f the multi-interactive teaching model, as well as its implementation practices and characteristics, with a view o f providing help to improve the quality of the college English teaching.

Teaching for Learning Styles and Multiple Intelligences: a Personal Reflection

The paper reviewed what the literature has said about learning styles and multiple intelligences. By practicing a personal reflection on learning styles and multiple intelligences, the paper indicated that teachers need make paradigm shift respecting the fact that every student is gifted and can be taught with the same contents, approaches and assessment. Teaching for diversity should be implemented.

Intelligent Networked Control of Vasoactive Drug Infusion for Patients with Uncertain Sensitivity

Abnormal high blood pressure or hypertension is still the leading risk factor for death and disability worldwide.This paper presents a new intelligent networked control of medical drug infusion system to regulate the mean arterial blood pressure for hypertensive patients with different health status conditions.The infusion of vasoactive drugs to patients endures various issues,such as variation of sensitivity and noise,which require effective and powerful systems to ensure robustness and good performance.The developed intelligent networked system is composed of a hybrid control scheme of interval type-2 fuzzy(IT2F)logic and teaching-learning-based optimization(TLBO)algorithm.This networked IT2F control is capable of managing the uncertain sensitivity of the patient to anti-hypertensive drugs successfully.To avoid the manual selection of control parameter values,the TLBO algorithm is mainly used to automatically find the best parameter values of the networked IT2F controller.The simulation results showed that the optimized networked IT2F achieved a good performance under external disturbances.A comparative study has also been conducted to emphasize the outperformance of the developed controller against traditional PID and type-1 fuzzy controllers.Moreover,the comparative evaluation demonstrated that the performance of the developed networked IT2F controller is superior to other control strategies in previous studies to handle unknown patients’sensitivity to infused vasoactive drugs in a noisy environment.

Machine learning for predicting the outcome of terminal ballistics events

Machine learning(ML) is well suited for the prediction of high-complexity,high-dimensional problems such as those encountered in terminal ballistics.We evaluate the performance of four popular ML-based regression models,extreme gradient boosting(XGBoost),artificial neural network(ANN),support vector regression(SVR),and Gaussian process regression(GP),on two common terminal ballistics’ problems:(a)predicting the V50ballistic limit of monolithic metallic armour impacted by small and medium calibre projectiles and fragments,and(b) predicting the depth to which a projectile will penetrate a target of semi-infinite thickness.To achieve this we utilise two datasets,each consisting of approximately 1000samples,collated from public release sources.We demonstrate that all four model types provide similarly excellent agreement when interpolating within the training data and diverge when extrapolating outside this range.Although extrapolation is not advisable for ML-based regression models,for applications such as lethality/survivability analysis,such capability is required.To circumvent this,we implement expert knowledge and physics-based models via enforced monotonicity,as a Gaussian prior mean,and through a modified loss function.The physics-informed models demonstrate improved performance over both classical physics-based models and the basic ML regression models,providing an ability to accurately fit experimental data when it is available and then revert to the physics-based model when not.The resulting models demonstrate high levels of predictive accuracy over a very wide range of projectile types,target materials and thicknesses,and impact conditions significantly more diverse than that achievable from any existing analytical approach.Compared with numerical analysis tools such as finite element solvers the ML models run orders of magnitude faster.We provide some general guidelines throughout for the development,application,and reporting of ML models in terminal ballistics problems.

Controlling chaos based on a novel intelligent integral terminal sliding mode control in a rod-type plasma torch

An integral terminal sliding mode controller is proposed in order to control chaos in a rod-type plasma torch system.In this method, a new sliding surface is defined based on a combination of the conventional sliding surface in terminal sliding mode control and a nonlinear function of the integral of the system states. It is assumed that the dynamics of a chaotic system are unknown and also the system is exposed to disturbance and unstructured uncertainty. To achieve a chattering-free and high-speed response for such an unknown system, an adaptive neuro-fuzzy inference system is utilized in the next step to approximate the unknown part of the nonlinear dynamics. Then, the proposed integral terminal sliding mode controller stabilizes the approximated system based on Lyapunov＇s stability theory. In addition, a Bee algorithm is used to select the coefficients of integral terminal sliding mode controller to improve the performance of the proposed method. Simulation results demonstrate the improvement in the response speed, chattering rejection, transient response,and robustness against uncertainties.

The Intelligent Terminal Design for Integrated Substation Auxiliary System

The integrated substation auxiliary system is a project composed by software and hardware to help operators of a substation carry daily maintain works. The intelligent terminal is the key part of the system and it provides important UI and communication functions for the user. Smart phones can achieve higher bandwidth data communication, and at the same time can carry Bluetooth communication, video call, multimedia display and other functions. Smart phone is a potential common platform, suitable for the deployment of substation integrated auxiliary system terminal. Based on the Android Smart phone platform, this paper develops intelligent client-side software for the integrated substation auxiliary system and it can realize the operation ticket control, the video call, the substation map display and other functions. This client-side software has been applied in practice, and has gained good effects.

A Discussion of Artificial Intelligence in Visual Art Education

Since ChatGPT emerged on November 30, 2022, Artificial Intelligence (AI) has been increasingly discussed as a radical force that will change our world. People have become used to AI in which such ubiquitous technologies as Siri, Google, and Netflix deploy AI algorithms to answer questions, impart information, and provide recommendations. However, many individuals including originators and backers of AI have recently expressed grave concerns. In this paper, the authors will assess what is occurring with AI in Visual Arts Education, outline positives and negatives, and provide recommendations addressed specifically for teachers working in the field regarding emerging AI usage from kindergarten to grade twelve levels as well as in higher education.

Research on the College English Teaching Innovation Methods based on the Theory of Multiple Intelligence and Language Cognitive

In this paper, we conduct research on the college English teaching innovation methods based on the theory of multiple intelligence and language cognitive. Gardner Suggestions to teaching points out: “the relevant content can be shown by a variety of ways, such as teachers, books, software, hardware, or other media. In many cases, the choice of the above shows patterns, lead to the success of education experience. History can have language, logic, space, or the general pattern of personal understanding to teaching, and even can also use the space geometry teaching classroom, logic, the language and digital methods such as ability to implement teaching.” This paper combines primary theories of the corresponding issues to propose the novel understanding of the modern college English education mode that will be benefi cial for the education mode optimization.

Research on the Sports Teaching Reform in Colleges and Universities based on Theory of Multiple Intelligences and Interactive Teaching

In this paper, we conduct research on the sports teaching reform in colleges and universities based on theory of the multiple intelligences and interactive teaching. In colleges and universities curriculum reform as an opportunity to introduce outward bound training in colleges and universities sports curriculum, not only can make the college students in the smooth finish school and get good physical and psychological education, and to the healthy positive attitude in the face of social reality, rational choosing, reasonable employment, by providing the best social services, fully realize their social values and personal goals to obtain satisfactory teaching effect. We adopt primary advantage of the multiple intelligences and interactive teaching model to form the novel revised teaching pattern for the college PE classes which will holds significant meaning.

Research on the design of the multimedia intelligence teaching system based on the oral English curriculum

Applying the multimedia technology to the English teaching is an innovation for the English teaching methods and means, because the traditional teaching cannot solve the problems of listening and speaking locally, but the multimedia teaching can well solve this problem, and can also improve the students＇ English comprehensive abilities. It is a question of the teaching skills whether the teachers can adroitly, effectively and skillfully adopt the advanced teaching methods to implement the teaching.