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Abstract Aiming at the practical teaching of intelligent manufacturing majors faced with lack of equipment, tense teachers and other problems such as high equipment investment, high material loss, high teaching risk, difficult to implement internship, difficult to observe production, difficult to reproduce the results, and so on, we take the electrical automation technology, mechatronics technology and industrial robotics technology majors of intelligent manufacturing majors as an example, and design and establish a virtual simulation teaching platform for intelligent manufacturing majors by using the cloud computing platform, edge computing technology, and terminal equipment synergy. The platform includes six major virtual simulation modules, including virtual simulation of electrician electronics and PLC control, virtual and real combination of typical production lines of intelligent manufacturing, dual-axis collaborative robotics workstation, digital twin simulation, virtual disassembly of industrial robots, virtual simulation of magnetic yoke axis flexible production line. The platform covers the virtual simulation teaching content of basic principle experiments, advanced application experiments, and advanced integration experiments in intelligent manufacturing majors. In order to test the effectiveness of this virtual simulation platform for practical teaching in engineering, this paper organizes a teaching practice activity involving 246 students from two parallel classes of three different majors. Through a one-year teaching application, we analyzed the data on the grades of 7 core courses involved in three majors in one academic year, the proportion of participation in competitions and innovative activities, the number of awards and certificates of professional qualifications, and the subjective questionnaires of the testers. The analysis shows that the learners who adopt the virtual simulation teaching platform proposed in this paper for practical teaching are better than the learners under the traditional teaching method in terms of academic performance, proportion of participation in competitions and innovative activities, and proportion of awards and certificates by more than 13%, 37%, 36%, 27% and 22%, respectively. Therefore, the virtual simulation teaching platform of intelligent manufacturing established in this paper has obvious superiority in solving the problem of "three highs and three difficulties" existing in the practical teaching of engineering, and according to the questionnaire feedback from the testers, the platform can effectively alleviate the shortage of practical training equipment, stimulate the interest in learning, and help to broaden and improve the knowledge system of the learners.

At present, network education, which takes computer network and technology as the means of education transmission and interaction, has become an important part of modern distance education, reflecting the characteristics of networking, personalization, interactivity and comprehensiveness. This paper studies the technical standards of network teaching platform, realizes the standardization of network teaching platform system, then analyzes several existing distance education teaching modes in China, and designs the function of network teaching platform system. In this paper, through the form of questionnaire survey to understand the specific implementation of the design and implementation of the network teaching platform, in the two user groups of teachers and students, the questionnaire survey analysis results. The results show that both teachers and students can't refuse the convenience of the online teaching platform. The teachers are satisfied with the convenience of the online teaching platform, and only 5.8% of the students have a general sense of the online teaching platform. [ABSTRACT FROM AUTHOR]

Education methods that were previously employed in face-to-face contacts were terminated to stop the corona virus from spreading. In higher education, e-learning has taken the place of conventional techniques as the standard. At 3 State Universities in Jambi Province, this study tries to ascertain how EFL students' Perception about Zoom Meeting as a teaching platform. A quantitative descriptive survey was utilized. 35 students who had participated in online coursework utilizing Zoom Meeting were part of this study. Students were given surveys online in order to gather data about their perception. The majority of students are favorable about utilizing Zoom Meeting for online learning. The findings of this research suggest that: (1) Students will continue to use Zoom Meeting because it offers new learning opportunities and benefits, (2) Users can easily use Zoom Meeting's features, (3) It is the preferred online learning platform, (4) It can help students improve their IT skills, (5) Students will continue to use Zoom Meeting when online learning, (6) Students are not finding Zoom Meeting to be seriously problematic, and (7) Students may simply complete online learning activities using Zoom Meeting. [ABSTRACT FROM AUTHOR]

Different aspects of modern society can be transformed by the deployment of Artificial Intelligence (AI). AI-powered tools have promoted changes in the financial industry by applying inventive methods for data analysis and automating processes, efficiency enhancement, cost reduction and more personalised services to customers. However, AI algorithms may activate significant ethical and regulatory concerns that should be addressed by the industry and society as a whole. In line with the Erasmus+ project Transversal Skills in Applied Artificial Intelligence - TSAAI (KA220-HED - Cooperation Partnerships in higher education), which aims to establish a training platform, this paper focuses on an analysis of study programmes in formal tertiary education across consortium countries (Spain, Estonia, North Macedonia, Croatia, Germany, and Slovenia) with a special focus on applied artificial intelligence and development of curriculum that will integrate teaching guidelines covering the areas of application of AI technology in the financial and insurance sectors. To this end, a Systematic Review of Literacy (SRL) on the web methodology identifying the existing employability requirements in AI and the Learning-Centred Syllabus (LCS) methodology for curriculum development was applied, with the presented curriculum expected to serve as a framework to develop teaching materials to help students, academics and employees enhance their professional skills, thus satisfying labour market needs. [ABSTRACT FROM AUTHOR]

The national strategy and the goal of cultivating comprehensive translation competence require that English translation teaching in colleges and universities should follow the wave of change and participate in the realization of the increasingly changing higher education teaching goals. In this paper, after applying the model of a multiplexed collaborative self-attention mechanism to encode and process the English utterances to be translated, the encoder-decoder attention mechanism is utilized to align the encoding-enhanced processed English sentences into clauses. The CA-CrossAttention mechanism and Softmax layer realize the automatic processing and translation process of English utterances. Subsequently, on the basis of B/S network architecture, an English translation teaching platform based on natural language processing technology is constructed by combining the automatic translation model, and an optimized teaching strategy is designed with the assistance of the platform. It was found that the student’s English language proficiency scores were significantly higher than those of the initial teaching at the 9th week of the implementation of the optimized teaching strategy (p=0.000

Smart sports teaching is regarded as a new type of education mode, aiming to improve the quality and effect of sports teaching through the use of artificial intelligence technology. The article first combined the opportunities for digital transformation of college sports teaching given by AI technology, combined the application scenarios of AI technology to innovative college sports teaching, and established a smart sports teaching platform with smart IoT architecture. The OpenPose algorithm is utilized to extract the key points of the skeletal movements of sports teaching, and the optimal matching planning is carried out by the DTW algorithm combined with the ICP algorithm for the movement postures of sports. For the effectiveness of the algorithm, corresponding identification verification experiments were designed, and teaching comparison experiments were created on the intelligent sports teaching platform. The OpenPose algorithm spent only 0.284s in acquiring the skeletal key points of sports, and the average success rate of matching the movement postures of sports was 89.75%. There was a maximum difference of 10.81 points in the stage movement assessment between students of class A and class B, and the negative interest of students of class A in physical education was reduced by 40.97%. Negative interest decreased by 40.97%. Relying on the intelligent sports teaching platform and combining artificial intelligence technology to technologically upgrade sports teaching in colleges and universities provides a new path to enhance the quality of sports teaching in colleges and universities.

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.

This paper utilizes the information diffusion mechanism of the information extension model, which can act on the influence of students in the process of university English teaching to the information extension model to the diffusion ability that English information has. It examines the level of student activity and English information coverage in university English teaching and discusses the use of the information extension model in English teaching. According to the objectives of university English teaching, the functional requirements of the university English teaching platform are analyzed, the university English teaching platform based on the information diffusion model is designed through big data technology, and the English teaching platform combined with the information extension model is analyzed in an example study. The results show that on the model simulation analysis, the performance of this paper’s model is better than the User Rank model and UI-LR model when mining less than 30 information extensions. In the analysis of teachers’ discourse, the speech rate of teachers in the university English teaching platform is mainly concentrated in the range of 140-149 syllables/minute and 150-159 syllables/minute, and only one teacher’s speech rate exceeds 170-179 syllables/minute. This study has the potential to enhance students’ understanding of teachers’ discourse and establish a solid platform for communication between teachers and learners.

With the emergence of "Internet + higher education," online teaching platforms have become increasingly important, particularly for practical teaching courses. The study of oil and gas storage and transportation is a fundamental and essential course for students in this major. In light of the issues related to limited space, lack of openness, and low student enthusiasm for traditional experimental teaching methods, an online experimental teaching platform for oil and gas storage and transportation was developed. This platform is based on the WeChat mini-program and follows the principles of cross-platform computability, user friendliness, and low investment. Its aim is to explore effective learning models for mobile devices. This study compares and analyzes the differences in classroom effects before and after the implementation of the WeChat learning platform. The study examines the design of the platform, teaching session cases, and the analysis of application effects. The research utilizes questionnaires and statistical data as research methods. The results indicate that the WeChat online teaching platform has significantly improved the enthusiasm and learning outcomes of students in the independent learning of experimental courses. It has received high recognition from both teachers and students and has greatly enhanced the quality of teaching. This has considerable potential for further promotion. [ABSTRACT FROM AUTHOR]

The purpose of exploring the construction of an online teaching platform for English courses in higher education based on block chain technology is to innovate the teaching mode of English in higher education. Starting from digital health technology, this paper builds an online teaching platform for English courses in higher education institutions with platforming as the technical carrier of digital health. The teaching platform's data mining and intelligent analysis are realized through the Hyper Ledger Fabric of block chain and smart contracts, and the test analysis is conducted for the platform constructed in this paper. From the throughput test, the optimal sending rate of the platform should be kept at 250tps, and from the average latency test, the average latency of the platform is within 2.5s when the sending rate is not higher than 300tps. This shows that the use of block chain technology can effectively realize the construction of an online teaching platform for English courses in higher education institutions and also provides a new direction for the innovative teaching mode of English in higher education. [ABSTRACT FROM AUTHOR]

The shift towards online education has become a defining feature of contemporary university learning environments. This paper presents the development of a unique, human health-centric online teaching platform tailored for university English courses. The platform, designed with a focus on students' mental and physical wellbeing, integrates ergonomic principles and psychological health considerations into its framework. Key features include adaptive learning pathways, ergonomic user-interface design, interactive content that promotes mental engagement, and tools for monitoring and reducing digital eye strain and physical discomfort associated with prolonged screen time. The development process involved comprehensive research into ergonomic design, cognitive psychology, and educational technology. We integrated these insights to create an online learning environment that facilitates language acquisition and actively promotes a healthy learning experience. Students reported greater comfort, reduced fatigue during learning sessions, and improved language comprehension and engagement. These findings suggest that a health-centric approach in online education can significantly enhance the learning experience while also safeguarding student health and well-being. This study contributes to the emerging field of health-conscious online education, highlighting the importance of integrating human health considerations in the design of digital learning platforms. The development of this platform serves as a model for future educational technologies, advocating for a balanced approach that prioritizes student health alongside educational objectives, especially in disciplines demanding high cognitive engagement such as language learning. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Medical Equipment Journal is the property of Chinese Medical Equipment Journal Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Exploring the application of digital health concepts in the design of college art creation teaching platforms is to help students reflect more emotional values in art creation. Starting from psychology of art under digital health, this paper uses emotional bionic design in art creation and digital Internet technology to jointly build a teaching platform for art creation in colleges and universities. The data reading of the database index and cache of the teaching platform is realized using the Rete-based rule engine optimization algorithm, and the response speed and the number of concurrent users is tested and analyzed for the teaching platform of art creation. Regarding response speed, the query time with index without cache and cache without index is 15.14% and 11.1% lower than without index without cache without index, respectively. After 10 weeks of teaching, the minimum image conception ability increased by 1.5 points and the maximum increase by 8.5 points. This shows that the digital health concept can be realized in designing the teaching platform for art creation in colleges and universities through psychology of art. [ABSTRACT FROM AUTHOR]

The study aims to improve the daily teaching level of the school and make students enjoy better teaching methods. Firstly, the Internet of Things (IoT) and deep learning (DL) are deeply studied through information technology (IT). Secondly, the calculation methods based on the IoT and DL are analyzed, through which the research model is constructed. Finally, a digital teaching platform is established through the research model to conduct a real-time statistical survey of students and teachers. The results show that students are leading in the daily teaching process. According to the survey results, most students spend 3 to 4 hours in daily extra-curricular learning; 45% of them acquire knowledge mainly through classroom learning, and 23% through online learning. Their main difficulty in learning is learning ability, accounting for 48%. Moreover, it is an energy problem, accounting for 28%. 64% of students are passive learning, far more than 37% of active learning students. This study combines multiple fields across disciplines, such as IT, IoT, and DL. Digital art teaching platforms usually focus on creativity and performance, and combining IoT and DL can provide art students with a more personalized, real-time teaching experience, and promote the cross-application of digital art and cutting-edge technologies.

In view of the isolation of the software and hardware teaching environment, isolation of various online teaching platforms and lack of coordination of data, it is not conducive for further promotion of ‘Internet Plus Teaching’ and the improvement of online teaching. The Trinity teaching platform, namely ‘Learning in Zhejiang University City College’ is built against the background of digitalisation reform in colleges and universities. The teaching platform integrates the smart classroom, the Zhiyun Classroom (online classroom) and the curriculum platform. The platform breaks through the limitation of time and space, connects the teaching process and implements the integrated ‘teaching, learning, evaluation and management’ based on data collaboration. It is fully applied in Zhejiang University City College, and is stable, efficient and convenient, with a high access rate and better interaction between teachers and students. It effectively implements closed-loop management of the teaching process, changes the educational form of teacher education, student learning and school management. It also adapts to the cultivation of innovative and individualised talents under the new situation, and further deepens reforms of ‘Internet Plus Teaching’. It provides a solid support for the whole process management of student learning.

Copyright of Journal of Educational Sciences (2520-2634) is the property of Al-Farabi Kazakh National University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the rapid development of information technology, the application of VR to English language teaching has gradually become an emerging trend. As the driving force of English learning, the establishment of ESL vocabulary corpus is of great significance for making great progress in teaching in colleges and universities. By analyzing the characteristics of VR technology, the study establishes a data-driven teaching platform for ESL vocabulary corpus in colleges and universities based on this technology. Then, based on the improved graph neural network, the text classification of the ESL vocabulary corpus was carried out to achieve the integration of ESL vocabulary corpus resources. The results show that the improved graph neural network vocabulary text classification model converges at 145 iterations, and the convergence speed is improved by up to 100 generations; Among different datasets, the recognition accuracy of the SADE-GNN model on the MR, R8, SST1, and SUBJ datasets is 90%, 99%, 63%, and 96%, respectively. In the recognition and classification of ESL vocabulary corpora in universities, the accuracy of this model is stable at around 95%, with a maximum value of 97%. In practical teaching applications, students' English listening, reading, writing, and speaking scores have all increased to varying degrees, with the top 50% of students achieving 95 or above in both reading and speaking. The above results indicate that the teaching platform under the research model has high accuracy in text classification, can significantly improve the effectiveness of English teaching, providing new reference ideas for the construction of ESL vocabulary corpus and teaching method reform in universities.

The article offers information on developing and integrating the Hadoop cloud computing platform in teaching research. It mentions that the platform utilized in this article is a one-piece learning algorithm, a statistical model and a cloud-based selection model, discussed that Hadoop method includes the clustered Hadoop operating system and the article aims to develop Cloud Computing integrated Autocorrelation Function (CCiACF) computation model based on Hadoop learning.

Summary: In view of the contradiction between the increasingly extensive application of single‐chip microcomputer technology in home appliances, digital products, medical equipment, automobile industry, aerospace and other fields, and the long learning cycle of the technology, which is not easy to master, a new single‐chip microcomputer teaching platform for high school students is designed. The teaching platform adopts the processing of completely transparent and moderately encapsulated in technical details, and learners can easily use the software and hardware resources to develop projects. This teaching platform can meet the learning needs of different levels of students in general technology courses of ordinary high school, play a positive role in improving the technical literacy of middle school students and enhancing the ability of technology application, and lay a good foundation for high school students to participate in student scientific research activities in colleges and universities in the future. [ABSTRACT FROM AUTHOR]

Contribution: This article presents a teaching experiment platform for an undergraduate laboratory program designed to fulfill the needs of control engineering classroom experiment teaching. The teaching experiment platform is a cost-effective teaching tool that can be promoted on a large scale in colleges and universities. The teaching experiment platform is a portable device that breaks through the limitations of the time and place of experiments. The platform can be used for many courses, which helps students combine theory with practice. Background: 1) Undergraduate programs usually follow traditional educational methods, which lead to students often unable to connect knowledge learned in class to actual situations; 2) the price of existing experimental devices is far beyond the affordability of students and teachers; and 3) most undergraduate students have to learn at home due to the COVID-19 epidemic. Therefore, students need a kind of cost-effective take-home teaching experiment platform, which can enable them to do experiments at home and improved the learning efficiency. Intended Outcomes: The teaching experimental platform gives the students out of the classroom more time to analyze the results of the experiment and to relate the concepts presented in the lecture course to the results of the experiment. With the aid of the platform, students can achieve the learning objectives, significantly improve interactivity in the classroom and fulfill the ABET requirement. Application Design: The course of Principle of Automatic Control taught at the Hunan University is given as a case study in which the evaluation process was based on the corresponding student outcomes and ABET criteria. Findings: The analysis based on positive student feedback as well as their academic grades indicates that the teaching platform presented in this article is an effective learning tool during the learning process of undergraduate students. [ABSTRACT FROM AUTHOR]