Teaching Of Course Research Articles

Retracted: Optimization and Quality Evaluation of Online Teaching Courses Based on Machine Learning

Retracted: Optimization and Quality Evaluation of Online Teaching Courses Based on Machine Learning

Sports Injury of Sanda Wushu Class of Students in Xi'an City

Background and Aim: Wushu is a traditional sport in China and is considered an ancient Chinese martial art. Wushu is a sport that is packaged as a teaching course about martial arts and dances and is also aimed at improving the health of people who train and learn at all ages. Therefore, in wushu martial arts when starting to practice or start playing Students or players must prepare their bodies to be able to fight, but if they learn by starting, injuries that may occur with training or playing this type of sport will always happen. Materials and Methods: Population and sample: The population used in this research were Sanda Wushu students’ a total number of 150 people. The research instrument was a questionnaire on Injury occurred during the Wushu course. created by the researcher with 3 parts, developed from a questionnaire on injuries of track and field athletes participating in the 39th National Games (Pengtee, 2011). The questionnaire has the following details: Part 1: Basic information of the buyer. Part 2: Sanda Wushu Injury Questionnaire Part 3: summarizes comments or suggestions regarding injury prevention. Result: From the survey of the causes of injuries, there were two causes: injuries that occurred from the outside environment from studying Sanda Wushu (66%) and injuries that occurred from the athletes themselves (34%) and of body positions that were injured in most athletes' competitions. It occurred in 38.7% of the body positions, 24% of the upper limbs, 20% of the lower limbs, and 17.3% of the head positions. Conclusion: From the summary of the above opinions, the injuries sustained in the class are injuries that are not serious and can be treated with basic first aid. Because studying at the school level is non-violent training, it is not surprising that it can be rehabilitated. In injury prevention, there were additional comments, namely the recommendation to increase protective equipment to be sufficient for the number of students and to improve the equipment appropriately. In addition, there is currently a training program for physical rehabilitation.

Covid-19 Era Alternative Strategies: Exploring Blended Learning Methods in Malay Language

There are no ending signs when it comes to the spreading of COVID-19 worldwide. The cases were increasing and have caused the students of Higher Education to have their studies to be carried out either in hybrid or blended learning. The COVID-19 during the pandemic had affected many sectors and industries and mainly the education industry. The education sector had faced many impacts. As for the higher education sector, the institution had led to factors such as academic stress, anxiety, loss of concentration, and frustration. Today, COVID-19 is still spreading worldwide and, in our country, as well. Malaysia declared it a pandemic in the early stages, but as time passed, Malaysia declared it an endemic. Blended learning would be among the options to pull through during the COVID-19 era, and it is also an alternative strategy to continue teaching and learning. Blended learning includes face-to-face and online teaching. This benefits the learners with dual instruction and learning strategies and this study shares and discusses the design of a blended learning course in teaching and learning language using the Blended Learning Model by Bath & Brouke (2010). The model contains five phases; planning, designing, implementing, reviewing, and improving. This model applies to the subject of Teaching the Malay Language. These courses were registered as required subjects with a total of 24 third-year students. During the planning phase, questionnaires were used to implement the quantitative methods. In the meantime, qualitative methods are used to analyse the document during design, implementation, review, and improvement. This study revealed a need for blended learning to balance the benefits of face-to-face and online learning. A hybrid learning environment gives students the privilege of understanding and exploring real-world problems through an authentic learning experience and facilitates the online learning experience. This study concludes that COVID-19 has changed instructor teaching strategies to make language teaching more effective.

Pengaruh Gender pada Pengembangan Diri Mahasiswa dalam Konteks Perguruan Tinggi Menggunakan Statistika Nonparametrik

Self-development is an important aspect that is the goal of a student to express abilities, interests, and talents through activities and activities inside and outside an educational institution. The study aims to determine the relationship between differences in answers based on gender with factors influencing student self-development with a nonparametric statistical method approach. Followed by a nonparametric statistical method, namely the Chi-Square test, with α = 5%. The results showed that there was no difference between male and female students in the influence factors of lecturer teaching methods, friendship environments, organizations/committees, and courses on student self-development

Research on MOOC Curriculum Recommendation Model of Higher Vocational English based on Improved Intensive Learning Network

With the development and maturity of the Internet education industry, more and more vocational colleges have opened English teaching courses based on massive open online courses courses. However, there are many English-related courses on the massive open online courses course platform, and the use of scientific recommendation models can improve the teaching quality of such courses. Therefore, this research attempts to design two improved attention mechanisms and user-based embedded expression using meta-path technology. At the same time, these two are combined with reinforcement learning technology to design an improved massive open online courses English course recommendation model. The test results show that the hit rate of the model designed in this study is 89.84%, 74.28%, 70.81% and 71.35% respectively when the rank number is 20 and the parameter is 10. At this time, the cumulative income of normalized discount is 48.24%, 34.58%, 25.96% and 28.69% respectively. However, when the number of calculated samples reaches the maximum value of 1158609, the calculation time of the improved reinforcement learning recommendation model is 1867 seconds, which is also higher than the comparison model. The experimental results show that the curriculum recommendation accuracy of the massive open online courses recommendation model designed in this study is higher and the recommendation results are more reasonable. The results of this research have a certain application potential in the field of the construction of online education in colleges and universities.

A scoping review of the ethical impacts of international medical electives on local students and patient care

BackgroundInternational electives are often considered a valuable learning opportunity for medical students. Yet, as travelling to lower and middle income countries (LMICs) becomes more common, ethical considerations of such practices emerge. We conducted a scoping review to assess the extent to which five ethical themes were addressed in existing literature about electives, with the aim of investigating the ethical impacts of medical student electives on local resources, patients and clinicians in LMICs.MethodsWe systematically searched PubMed, Global Health and Embase databases using the search terms “(ethics) AND (medical electives)”. Thematic content analysis was undertaken using a combination of deductive and inductive themes. The deductive themes included: exceeding clinical competence, use of limited local resources, respect for patients and local culture, collaboration with local community/colleagues, and one-sided benefits in partnership. In addition, we also allowed for emerging themes within the data, and conducted a narrative synthesis of the results.ResultsA total of 37 papers discussed ethical issues relating to medical student international electives to LMICs. More publications were written from the medical student perspective (n = 14), than by the host-institution (n = 5), with nearly half written from third-party perspectives (n = 18). Negative impacts on local host students and impact upon patient care were identified as additional ethical considerations.ConclusionsOur review demonstrated that while there is a degree of awareness in the existing literature of the potential negative impacts of medical electives to local LMIC students’ access to medical education and patient care, continued work is needed to ensure equitable partnerships. We recommend that these ethical themes should be further explored in pre-departure elective teaching courses and post-elective debriefs to increase medical students’ awareness of the impact of their presence on host communities.

Research on Knowledge Graph Multiple Environment-Aware Recommendation Algorithm for Teaching Course Recommendation

Abstract With the rapid development of education informatization and intelligence, personalized teaching and course recommendations have gradually become an important research direction in the field of education technology. A knowledge graph, as a structured knowledge representation and organization, provides rich semantic information and a relationship network for teaching course recommendations. Based on this research background, this paper focuses on the research of knowledge graph multivariate environment-aware recommendation algorithms for teaching courses. The article firstly constructs the ontology of course resources, researches and analyzes the methods and steps of acquiring and processing data in order to build the knowledge graph, and then constructs the framework of the recommendation model combining multivariate perception in order to further analyze and explore the user’s course-aware representation learning and the user’s course-aware embedded learning. Embedded Learning, and finally, the teaching course of a school as an empirical study, it is shown that the performance of Ripple_mlp+ and Ripple_mlp in this article are higher than the benchmark algorithms through the experimental class and the control class of the pre and post-test scores have been sorted out and counted. The experimental students’ scores are steadily increasing, and the overall scores are better than the control class. In the experimental class, the significance value is 0.013, indicating that there is a significant difference between the midterm and final grades of the experimental class. Through the paired samples t-test on the midterm and final grades of the experimental class, after analyzing and comparing the midterm and final grades of students at different levels, it can be concluded that the t-value of the superior students is −3.326. The value of significance is 0.049, indicating that there is a significant difference between the midterm and final grades of the exceptional students. The T-value for intermediate students is −0.134, and the value of significance is 0.045, which indicates that there is a significant difference in the midterm final grades of intermediate students. The T-value of −1.623 and the value of significance is 0.534 for advanced students indicates that the difference in midterm final grades of advanced students is not significant.

ИССЛЕДОВАНИЕ ПО СОЗДАНИЮ ПРАКТИЧЕСКОГО КЛАССА ПО ПРИМЕНЕНИЮ КОМПЬЮТЕРНЫХ СЕТЕЙ В ВЫСШИХ УЧЕБНЫХ ЗАВЕДЕНИЯХ

In recent years, modern work models have become the main focus of the development of various industries in our country. Most companies will use cloud computing, the Internet and other technologies to improve the quality of their work. When applying for a job, they will ask candidates if they can own computer systems, some industries that often use computers also put forward certain requirements for computer exams. It can be seen that computer skills are already a basic skill necessary for students. Judging by the current computer networking courses in the country, most colleges and universities have organized appropriate computer theoretical and practical training courses. However, judging by the share of these two courses in teaching, the share of theoretical knowledge is much higher than the share of practical courses. In this case, it will reduce the practical skills of students on the computer. In order to develop professional talents in the field of computer networking, colleges and universities should restructure practical courses on computer networks. This article analyzes strategies for building practical classes on the use of computer networks in higher education institutions.

Проблема изложения требований норм в области пожарной безопасности в России

Purpose. The analysis of regulatory documents and scientific publications is presented, describing the discharge parameters of automatic fire extinguishing installations, as well as criteria for their design. The analysis is presented in chronological order of the documents' editions. In compliance with the requirements of regulatory documents in the field of fire safety, facilities under protection are provided with automatic fire extinguishing installations (AFEI). The currently valid regulatory documents do not specify the fire load, according to which groups of premises are classified and types and methods of fire extinguishing agents discharge are determined. The above mentioned makes it necessary to analyze the regulatory and scientific literature with the objective of further defining a unified methodology for designing automatic fire extinguishing installations. Methods. The authors have carried out a chronological analysis of special literature in order to identify the stages of AFEI discharge parameters development. All types of fire extinguishing installations, which are subject to the requirements of regulatory documents, have been studied. Findings. Based upon the outcomes of the study in question, it is possible to make a conclusion that at present the regulatory documents governing the requirements for automatic fire extinguishing installations lack current data on modern substances and materials, and therefore the methods described in this paper may be inaccurate and sometimes crucial when determining AFEI characteristics. Research application field. The outcomes of the given research may be used by: – scientific institutions within various structures and departments as the base for development of guideline values of fire load as well as requirements to AFEI working conditions; – educational institutions within various structures and departments in the course of teaching and learning activities; – manufacturers producing fire equipment intended to provide fire safety at the protected facilities of various purposes. Conclusions. The given problem may be solved be means of updating fire load parameters with the help of different software systems, as well as full-scale experiments. This will allow determining the actual fire load parameters and effective characteristics of automatic fire extinguishing installations for modern buildings and premises.

РАЗВИТИЕ РОССИЙСКОЙ СОЦИОЛОГИИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА КАК НАУЧНОГО НАПРАВЛЕНИЯ И УЧЕБНОЙ ДИСЦИПЛИНЫ

For over a century, Russian sociologists have been engaged in the study of physical culture and sport, with a particular focus on the mass and professional spheres. Physical education and sport are integral parts of social, cultural as well as socio-political life. Motivation, socialization through sport, education and health improvement, attitudes to physical education, the problems of Olympic and mass sports movement, etc., have come to the fore in different historical periods. All this can be found in the scientific publications of Russian sociologists and other social and humanitarian scientists. In the meantime, the analysis of sociological publications on this topic and their systematization, with the exception of the work of Russian sociologist O. A. Milstein, have not been carried out in a practical manner. In this paper, a scientific analysis of a variety of sources was carried out using two distinct approaches: comparative-historical and problem-chronological. The sources included brochures, articles and monographs, dissertations, and periodicals. Consequently, the principal thematic orientations of sociological inquiry into physical culture and sport in Russia, as well as the distinctive characteristics of sociological research across different historical eras, are elucidated. The institutionalization of the sociology of sport is considered in close connection with the institutionalization of Russian sociology. Moreover, experts examine the teaching of courses on the sociology of physical culture and sport in Russian universities. The process began in the 1920s and was subsequently interrupted. It can be stated that there has been an increase in the number of scientific publications on the sociology of physical culture and sport during the 2000-2020s. Furthermore, a number of textbooks on this subject have emerged during the same period.

Construction of the Online and Offline Hybrid Teaching Courses of “Coal Chemistry and Coal Quality Analysis” under the Background of “New Engineering”

Construction of the Online and Offline Hybrid Teaching Courses of “Coal Chemistry and Coal Quality Analysis” under the Background of “New Engineering”

History of music, electromagnetism and the Sun: an innovative educational resource for pre-service primary school teachers

In general, science education programs for pre-service primary teachers encounter several challenges, including inadequate subject matter training and uninspiring lectures. This results in a disconnection between university learning and real-school experiences. To address these issues, an innovative science teaching course for primary school teachers is proposed. This course emphasizes interdisciplinarity, practical activities and didactical resources, with the ultimate goal of breaking the cycle of unmotivated and unskilled students by producing competent and enthusiastic science teachers. The course structure, implemented at the University of La Laguna, creatively blends experimental sciences, history, music, and maths through engaging methods and practical activities. The integration of simple demonstrations and interdisciplinary approaches has had a positive impact on the pre-service teachers. As a result, they are now better equipped to design innovative educational resources for future primary students and have gained confidence in their abilities to teach science.

Research on the Path of Ideological and Political Design and Quality Improvement of Online and Offline Hybrid Teaching Course Based on Knowledge Graph and Artificial Intelligence

Research on the Path of Ideological and Political Design and Quality Improvement of Online and Offline Hybrid Teaching Course Based on Knowledge Graph and Artificial Intelligence

Discussion on Informatization Teaching Design and Practice of English Course for Higher Vocational Hotel Service Majors in the Internet Era

Abstract This study explores the design and practice of informatization teaching in English for senior hospitality service majors, based on the ARCS model, and optimizes the teaching process through the Analysis of learning situation and the design of teaching practice sessions. The study adopts the classroom attention model (PA model) to analyze students’ behaviors with multivariate behavioral models and predicts students’ English scores based on the NB algorithm. The experimental results show that there is a significant difference between the reform class and the regular class in terms of the total scores of the basic English post-test, and the speaking, Listening and reading scores of the reform class are significantly higher, where the value of the full score significance (two-tailed) is 0.022. In addition, a cluster analysis of 400 students was conducted, and the correlation between students’ attention and their scores was explored. The Analysis of the teaching model showed that students were satisfied with the blended teaching, especially in “overall design and effectiveness” and “choosing the reformed teaching course again”.

Exploration on the Curriculum Construction of Dance Studies in the Digital Era

With the advent of the digital era, various means such as virtual reality, online remote teaching, and online learning platforms have enriched the content and methods of dance education and teaching classrooms. This is conducive to the cultivation of high-quality dance talents in the new era and brings new opportunities for dance education and teaching in vocational high schools in China. However, at the same time, the arrival of digitization has also brought challenges to the development of dance courses. Based on this, this paper explores the problems in the construction of dance courses in vocational high schools in China in the digital era, and seeks innovative applications of digital technology in the construction of dance teaching courses. It aims to enhance the learning experience of dance majors in vocational high schools in China and improve the effectiveness of dance classroom teaching.

Optimization and Practice of the practical teaching system of the Digital Electronic Technology

In view of the issues in the practical teaching of the Digital Electronic Technology, which include outdated practical teaching content, insufficient innovation and comprehensiveness, redundant teaching methods, and a single assessment model, this paper proposes an optimized design for practical teaching content, teaching methods, and assessment mechanisms. The proposed plan adopts a deep integration of theory and practice, flexible expansion based on needs, a combination of multiple teaching models, and a comprehensive assessment mechanism. It adds design experiments and innovative research experiments to enhance the comprehensiveness and innovation of the practical teaching content. Various educational concepts and methods are integrated to form an optimized teaching method that combines multiple models. A comprehensive assessment mechanism is also designed. Through the optimized design of practical teaching courses for the Big Data Engineering, significant teaching achievements have been achieved. The proposed optimized practical teaching plan can effectively address the issues in practical teaching and better cultivate students’ overall quality and innovative spirit.

A Study of Differences in Sentential Characteristics of Japanese Language Teaching in Colleges and Universities Based on Semantic Contrastive Analysis

Abstract Colleges and universities actively carry out Japanese language teaching courses to promote the friendly cooperation and communication between China and Japan. However, improving students’ Japanese intercultural communication ability still faces specific difficulties and practical obstacles due to cultural differences. In this paper, firstly, a Japanese language teaching corpus is collected based on Python technology to establish a Japanese language teaching corpus, based on which a Japanese language flipped classroom teaching model is constructed in colleges and universities. Secondly, to understand the semantic distribution of Japanese vocabulary in the Japanese teaching corpus, the Hidden Markov Model is used to semantically segment Japanese language, and the attention mechanism based on categories is used to extract and classify the textual features of the Japanese corpus. Finally, the model’s teaching effect and sentence features are analyzed using University of N as an example. The results show that after the teaching experiment, the average score of Japanese application proficiency of the experimental class is 86.57, which is 14.495% higher than that of the control class. 22.52% of the sentence length frequency ratios in spoken corpora were distributed in the [10,20] range, and the highest values of sentence length frequency ratios in written corpora, academic corpora, and policy corpora fell in the range of 20-30. Teaching Japanese language in higher education needs to target the lexical meanings of different sentence lengths to help students improve their Japanese language application skills.

Research on Accurate Teaching Reform of Japanese Language Education in Colleges and Universities with the Help of Big Data Technology

Abstract The development of Japanese language education provides a solid foundation for the friendly relations between China and Japan. In this paper, we first constructed a framework for optimizing teaching in Japanese language education based on big data and intensive learning intervention decision-making. We designed an achievement prediction model based on deep learning for Japanese language teaching effectiveness. The achievement prediction model is applied to the teaching achievement prediction and compared with the actual achievement, and its relative error range is between 0~0.2, compared with the traditional prediction model error reduction of about 0.2 or so in the Japanese language teaching achievement prediction analysis, the confidence and validity of the learning law and class performance are more significant than 0.8, the association rule is superior, and the optimized student prediction of the Japanese language teaching course learning achievement is basically distributed between 80 and 100 points, and the achievement level was significantly improved. This study provides an effective method for the precise reform of Japanese language teaching and realizes the prediction of the effectiveness of educational reform.

Blended Teaching Method Using Self-Made Video and Dropbox Platform

Students nowadays, particularly Generation Z and Alpha, tend to lose interest and drop out of class when they are only exposed to lectures and PowerPoint presentations. This traditional technique has limits concerning restricted time due to the syllabus. The lecturers must compete to complete it and cannot repeat if students do not attend class to prevent disrupting the learning schedule. Given the extent to which technology was employed during the COVID-19 pandemic, utilizing blended learning to solve the issue would be a prudent choice. Thus, the main objective of this project is to apply blended learning, wherein the lecturer records and uploads instructional videos on the online platform, Dropbox after in-person classes. The self-made teaching videos link will be shared with the students via WhatsApp after the face-to-face learning session ends. 108 Diploma and Degree students who enrolled in Business Mathematics course from Universiti Sultan Zainal Abidin, Terengganu, Malaysia were involved with this teaching method. Through the use of this blended learning strategy, over fifty per cent of the students were able to retain and improve their final exam grades. The students were expressed their satisfaction on this contemporary learning approach by giving high rating for the evaluation teaching course. This project proved that self-made videos as teaching materials and Dropbox as a sharing medium are one of the most effective choices for making learning more comprehensive and accessible. The shortcomings of traditional learning can be addressed by combining in-person instruction with instructional videos. This teaching method should be applied to other courses to ensure its efficacy across a broader range.

Application of Artificial Intelligence and Speech Data System based on Music Internet Course Learning System

Abstract Music education, as an important part of art education, can also take advantage of artificial intelligence technology to achieve more efficient personalized teaching. The direction of the application of artificial intelligence technology in music course learning is explored in this paper. Therefore, a music data technology interactive learning system is proposed. The music recognition module’s design utilizes a deep neural network model to model the complex problem of speech signal recognition. The encoder formula is obtained by representing the implicit layer feature vectors in the sample through a mathematical model. After encoding and decoding, as well as designing the activation function, the HMM algorithm is introduced to realize the application of DNN-HMM in acoustic modeling. Using a digital filter, the spectrum of the speech signal is smoothed, and the spectrogram is obtained by Fourier variation to visualize the representation of the speech frequency domain. The design of a music Internet teaching course is based on the method proposed in this paper. The melody recognition accuracy of the system is tested through simulation experiments, in which the distribution of auditory feature points of the piano ranges from 0.66 to 0.69. The distribution of rock music is above 0.7, and there is no overlap between the two audio datasets, which indicates that the system proposed in this paper has good recognition accuracy of audio features. Using the speech analysis module, the students’ music learning performance is analyzed. After the model designed in this paper to assist music learning, students’ music performance mean value is 4.397, and the control group’s performance is 3.565. The difference is 0.832. The system designed in this paper is more effective for music learning.