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Evaluation Model of the Teaching Effect of College Physical Education Class Based on Multimedia Feature Extraction Technology and Three-Dimensional Recons 基于多媒体特征提取技术和三维重建的高校体育课教学效果评价模型
IF 0.2 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-07-16 DOI: 10.4018/ijec.346379
Wei Hu, Yuanyuan Liu
As society progresses, diverse educational techniques are emerging, including the widespread use of multimedia in university disciplines. In physical education (PE), multimedia enhances understanding of abstract concepts, replacing traditional methods and advancing PE. It enables personalized teaching, cultivates learning abilities, and improves physical skills. This study utilizes multimedia feature extraction and 3D body reconstruction to analyze brief sports actions, achieving precise motion analysis. Compared to traditional methods, this approach demonstrates a 15.38% improvement and holds broad applicability.
随着社会的进步,各种教育技术不断涌现,包括多媒体在大学学科中的广泛应用。在体育教学中,多媒体能增强对抽象概念的理解,取代传统教学方法,推动体育教学的发展。它能实现个性化教学,培养学习能力,提高身体技能。本研究利用多媒体特征提取和三维人体重建技术分析简短的体育动作,实现精确的动作分析。与传统方法相比,该方法提高了 15.38%,具有广泛的适用性。
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引用次数: 0
Precise Implementation of Mental Health Thinking Measures in Universities Based on Student Portrait Analysis 基于学生肖像分析的高校心理健康思维措施的精准实施
IF 0.2 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-07-16 DOI: 10.4018/ijec.348578
Lina Ma
School learners are the future of the motherland and the hope of the nation, and the level of mental health of school learners directly affects the achievement of moral education and the realization of the goal of moral education. The requirement of cultivating “self-esteem and self-confidence, rational and calm, and positive social mentality” provides guidance for the construction of mind fitness educating courses for school learners. At present, the research on the portrait technology for students in colleges and universities has been carried out one after another, and through the data mining of the informationized campus, the applications such as early warning of students' academic situation, dynamic detection of students' thoughts, and improvement of library lending service have been realized to better promote the management and service of students. The system can help students and teachers to make the mental health portrait model. This system can help students and teachers to analyze students' mental health problems more visually and improve the efficiency.
在校学生是祖国的未来和民族的希望,在校学生的心理健康水平直接影响着德育工作的成绩和德育目标的实现。培养 "自尊自信、理性平和、积极向上的社会心态 "的要求,为学校学习者心身教育课程的建设提供了指导。目前,高校学生画像技术研究已陆续开展,通过对信息化校园的数据挖掘,实现了学生学情预警、学生思想动态检测、图书馆借阅服务提升等应用,更好地促进了学生的管理与服务。该系统可帮助师生制作心理健康画像模型。该系统可以帮助师生更直观地分析学生的心理健康问题,提高工作效率。
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引用次数: 0
Methods of Improving and Optimizing English Education Level in Higher Vocational Colleges Under the Background of Big Data 大数据背景下高职院校英语教育水平的提升与优化方法
IF 1.7 Q3 Computer Science Pub Date : 2024-06-06 DOI: 10.4018/ijec.345239
Yuan Teng
At present, the English skills of Chinese university graduates cannot meet the needs of social development. Therefore, in recent years, the reform of college English teaching has received unprecedented attention. This article proposes methods for improving vocational English education in the context of big data, including teacher development, curriculum design, teaching modes, teaching resources, and learning evaluation. It also explores and analyzes new models and means of vocational English teaching that are conducive to big data analysis. We adopted a blended learning model that combines large-scale online open courses and SPOC to reform traditional English teaching methods and plans, and studied the teaching effectiveness and feasibility of the blended learning model. The results indicate that it can improve the online course experience and teaching effectiveness. This study promotes the modernization and reform of vocational English education, which helps to enhance students' independent English learning ability and practical work ability.
目前,我国大学毕业生的英语水平还不能满足社会发展的需要。因此,近年来,大学英语教学改革受到了前所未有的重视。本文提出了大数据背景下职业英语教育的改进方法,包括师资队伍建设、课程设计、教学模式、教学资源、学习评价等。同时,还探索和分析了有利于大数据分析的职业英语教学新模式和新手段。我们采用大规模在线开放课程与SPOC相结合的混合式学习模式,改革传统的英语教学方法和教学计划,研究混合式学习模式的教学效果和可行性。结果表明,该模式可以改善在线课程体验,提高教学效果。本研究推动了职业英语教育的现代化改革,有助于提高学生的英语自主学习能力和实际工作能力。
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引用次数: 0
Research on the Integration and Practice Path of English Teaching and Eco-Environmental Protection Education Under the Concept of Empowerment 赋能理念下英语教学与生态环保教育的融合实践路径研究
IF 1.7 Q3 Computer Science Pub Date : 2024-06-05 DOI: 10.4018/ijec.347329
Huaxian Cui
The fundamentals of solving ecological and environmental problems lie in the problems of education, awareness and quality. Strengthening environmental education for college students can enhance their environmental awareness and motivate them to protect the environment. This study outperforms GA-SVR, PSO-SVR, DE-SVR and SVR in assessing the quality of ecological environment and English teaching by establishing SSA-SVR model. The study shows that the SSA-SVR model has higher assessment precision and accuracy in assessing the quality of university English language teaching. The study provides new methods and tools for university English education and offers valuable insights and guidance for exploring the intersection of ecological conservation and English education. In addition, the study offers suggestions for improvement that can help us gain a more comprehensive and in-depth understanding of the actual effects of university students' participation in English teaching practices and provide more convincing conclusions and recommendations for practice.
解决生态环境问题的根本在于教育问题、意识问题和素质问题。加强对大学生的环境教育,可以增强他们的环境意识,激发他们保护环境的积极性。本研究通过建立 SSA-SVR 模型,在评估生态环境和英语教学质量方面优于 GA-SVR、PSO-SVR、DE-SVR 和 SVR。研究表明,SSA-SVR 模型在评估大学英语教学质量方面具有更高的评估精度和准确度。该研究为大学英语教育提供了新的方法和工具,为探索生态保护与英语教育的交叉点提供了有价值的启示和指导。此外,研究还提出了改进建议,有助于我们更全面、深入地了解大学生参与英语教学实践的实际效果,为实践提供更有说服力的结论和建议。
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引用次数: 0
Research on the Balanced Development Strategy of Urban and Rural Preschool Education Based on “Internet Plus” 基于 "互联网+"的城乡学前教育均衡发展战略研究
IF 1.7 Q3 Computer Science Pub Date : 2024-05-24 DOI: 10.4018/ijec.345240
Jiani Li
In education, “Internet plus” provides a new opportunity to improve the quality of education and promote educational equity. Promoting the balanced development of urban and rural preschool education with the help of Internet technology has become an important topic. Based on the latest data and field survey, this paper compares the teachers, school condition, and teaching quality of urban and rural preschool education in Internet plus, analyzes the main problems faced by preschool education and the reasons and presents the balanced development strategy of urban and rural preschool education in Internet plus. The research results show that preschool education in Internet plus provides rich educational resources and more opportunities to learn for rural kindergartens and provides parents with more ways to know their children's situation. “Internet plus” has promoted education equity and improved education quality for urban and rural preschool education. The research results provide a theoretical basis for the balanced development of urban and rural preschool education in Internet plus.
在教育领域,"互联网+"为提高教育质量、促进教育公平提供了新的契机。借助互联网技术促进城乡学前教育均衡发展已成为一个重要课题。本文基于最新数据和实地调查,对 "互联网+"下城乡学前教育的师资、办学条件、教学质量等方面进行了比较,分析了学前教育面临的主要问题及原因,提出了 "互联网+"下城乡学前教育均衡发展策略。研究结果表明,"互联网+"学前教育为农村幼儿园提供了丰富的教育资源和更多的学习机会,为家长了解孩子的情况提供了更多的途径。"互联网+"促进了教育公平,提高了城乡学前教育的教育质量。研究成果为 "互联网+"下城乡学前教育均衡发展提供了理论依据。
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引用次数: 0
The Impact of Short Video Live Broadcast on the Sales of Sports Machinery and Equipment 短视频直播对体育机械设备销售的影响
IF 1.7 Q3 Computer Science Pub Date : 2024-05-17 DOI: 10.4018/ijec.344027
Chunyue Huang, Lichun Chen
This paper proposes a neural network model based on deep learning, which can better analyze the impact of short video live broadcast on sports machinery and equipment. Firstly, this paper proposes a U-Net-based convolutional neural network as the backbone network of this paper, which mainly realizes the impact of short video live broadcast on sales. Secondly, this paper proposes a dense residual module based on the Transformer lightweight module, which can effectively improve the global modeling ability of the network model and improve the prediction accuracy of the network model. Finally, through a large number of experiments, it is proved that the convolutional neural network based on U-Net proposed in this paper can be better used for the task of short video live broadcast for the sales of sports machinery and equipment, and achieves better prediction accuracy and reasoning speed.
本文提出了一种基于深度学习的神经网络模型,可以较好地分析短视频直播对体育机械设备的影响。首先,本文提出基于 U-Net 的卷积神经网络作为本文的骨干网络,主要实现短视频直播对销售的影响。其次,本文在 Transformer 轻量级模块的基础上提出了密集残差模块,可以有效提高网络模型的全局建模能力,提高网络模型的预测精度。最后,通过大量实验证明,本文提出的基于 U-Net 的卷积神经网络可以较好地用于体育机械设备销售的短视频直播任务,并取得了较好的预测精度和推理速度。
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引用次数: 0
Examining and Visualizing the Effects of Pedagogical Agents on Learning Outcomes 检查并可视化教学代理对学习成果的影响
IF 1.7 Q3 Computer Science Pub Date : 2024-05-15 DOI: 10.4018/ijec.343540
Lingling Lou, Song Yang
While there has been a growing interest in the use of animated, interactive, and embodied agents in education, there is a lack of comprehensive understanding of their impact on learning outcomes. To comprehensively examine their impact on learning outcomes, this study utilized VOSviewer and CitNetExplorer for a bibliometric analysis, examining the research trends in the field of pedagogical agents for learning. The top 10 cited authors, sources, organizations, and countries in this field were identified. The findings indicate that animated, interactive, and embodied pedagogical agents may enhance learning outcomes. Furthermore, ethnicity and prior knowledge are significant factors in influencing learning outcomes. The integration of image, audio, visuals, and narration within these agents can positively impact learning outcomes, creating a more immersive and engaging learning experience. The ethical and social implications of pedagogical agents cannot be overlooked in the future research.
虽然人们对在教育中使用动画、互动和具身代理的兴趣与日俱增,但对它们对学习效果的影响却缺乏全面的了解。为了全面考察它们对学习效果的影响,本研究利用 VOSviewer 和 CitNetExplorer 进行了文献计量分析,考察了教学代理领域的研究趋势。确定了该领域被引用次数最多的 10 位作者、来源、组织和国家。研究结果表明,动画、交互式和身临其境的教学代理可以提高学习效果。此外,种族和已有知识也是影响学习效果的重要因素。将图像、音频、视觉效果和叙述融入这些媒介中,可以对学习效果产生积极影响,从而创造出一种更加身临其境和引人入胜的学习体验。在未来的研究中,教学代理的伦理和社会影响不容忽视。
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引用次数: 0
Research on Environmental Protection of Rural Ecotourism Based on PSR Model 基于 PSR 模型的乡村生态旅游环境保护研究
IF 1.7 Q3 Computer Science Pub Date : 2024-05-06 DOI: 10.4018/ijec.343094
Xinghua Wang, Qiwei Liu
This paper examines the relationship between rural ecotourism development and environmental protection in Province A, utilizing the PSR model and GAs. It employs a detailed evaluation of indicators in the tourism economy and ecological environment modules, using mathematical modeling and weight coefficient calculations to assess the impact of tourism activities. GAs are used to navigate the complex problem space inherent in balancing economic development with ecological sustainability. By analyzing data from 2005 to 2018, the coupling degree between tourism economy and ecological environment gradually increased from 0.1 to 0.6398. The results indicate a strengthening relationship between tourism economy and ecological environment, moving towards good or high-quality coordination. The degree of coupling, as measured by the PSR model, reflects the evolving interaction between rural tourism development and environmental protection. The findings provide valuable insights for policymakers and stakeholders in balancing economic growth with environmental sustainability in rural areas.
本文利用 PSR 模型和 GA,研究了 A 省乡村生态旅游发展与环境保护之间的关系。它采用数学建模和权重系数计算方法,对旅游经济和生态环境模块中的指标进行了详细评估,以评估旅游活动的影响。在平衡经济发展与生态可持续发展的过程中,GA 被用于探索内在的复杂问题空间。通过分析 2005 年至 2018 年的数据,旅游经济与生态环境的耦合度从 0.1 逐步上升至 0.6398。结果表明,旅游经济与生态环境之间的关系不断加强,朝着良好或高质量协调的方向发展。PSR 模型所衡量的耦合度反映了乡村旅游发展与环境保护之间不断发展的互动关系。研究结果为政策制定者和利益相关者平衡乡村地区的经济增长与环境可持续性提供了有价值的见解。
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引用次数: 0
E-Collaboration and Academic Performance of Lecturers 电子协作与讲师的学术表现
IF 1.7 Q3 Computer Science Pub Date : 2024-04-17 DOI: 10.4018/ijec.342480
Bilal Ahmad Ali Al-khateeb
Electronic collaboration is increasingly becoming more popular among both the practitioners and the academics; however, the practitioners have taken more advantage of it than the academics. Despite the importance of e-collaboration to the education sector over the years, there appears to have been a dearth in literature. Academic literature is yet to be explored more deeply. Only a few studies on e-collaboration are still considered a crucial feature in collaboration research in the academic domain. The correlation analysis result revealed that e-collaboration has positive strongly correlation with both teaching and research performance at p>0.01. Also, the hypothesis testing result revealed that there is a significant relationship between e-collaboration and teaching performance, and between e-collaboration and research performance at p<0.05 respectively. Based on this, the study therefore concluded that e-collaboration has a positive significant relationship with both teaching and research performance. The study offered limitations and suggestions for future studies.
电子协作越来越受到从业人员和学术界的欢迎;然而,从业人员比学术界更能利用电子协作。多年来,尽管电子协作对教育部门非常重要,但文献资料似乎一直很匮乏。学术文献还有待深入挖掘。只有少数关于电子协作的研究仍被视为学术领域协作研究的重要特征。相关性分析结果表明,电子协作与教学和科研绩效均呈正相关,相关性大于 0.01。此外,假设检验结果表明,电子协作与教学绩效之间以及电子协作与科研绩效之间存在显著关系,其p<0.05。在此基础上,研究得出结论:电子协作与教学和科研绩效都有积极的重要关系。该研究提出了局限性和对未来研究的建议。
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引用次数: 0
Big Data and Cloud Computing-Integrated Tourism Decision-Making in Smart Logistics Technologies 大数据与云计算——智慧物流技术下的旅游决策集成
IF 1.7 Q3 Computer Science Pub Date : 2023-06-26 DOI: 10.4018/ijec.316880
Man Lan
Since technology allows tourist companies to replace expensive human labor with electronic labor, labor expenses are reduced, yet customer service concerns are often avoided. Companies and organizations face new challenges daily. Increased consumer demands and global competition result in significant adjustments in the industrialized world. On the other hand, technology can bring forth entirely new types of unintended effects. There are new prospects for the tourist sector with the rise of big data. Data mining and cloud computing are widely used in the tourist sector to extract useful information from vast quantities of data. A new tourism marketing management model based on big data can be developed with this function. This research thus presents a big data and cloud computing-integrated tourism decision-making (BC2TDM) paradigm to analyze the behavior of travel consumers. This model uses the deep learning model to forecast the travel consumer behavior to ensure a personalized tourism experience.
由于技术允许旅游公司用电子劳动力取代昂贵的人力,劳动力支出减少了,但客户服务问题往往得以避免。公司和组织每天都面临新的挑战。消费者需求的增加和全球竞争导致工业化世界的重大调整。另一方面,技术可以带来全新类型的意想不到的效果。随着大数据的兴起,旅游业出现了新的前景。数据挖掘和云计算在旅游业被广泛使用,从大量数据中提取有用的信息。利用该功能可以开发出一种新的基于大数据的旅游营销管理模式。因此,本研究提出了一个大数据和云计算集成旅游决策(BC2TDM)范式来分析旅游消费者的行为。该模型使用深度学习模型来预测旅游消费者行为,以确保个性化的旅游体验。
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引用次数: 0
期刊
International Journal of e-Collaboration
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