Proceedings of the 13th International Conference on Education Technology and Computers最新文献_第4页

The Development and Practice of Children's Spelling Ability for a Foreign Language 幼儿外语拼写能力的发展与实践

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498821

Xuedan Liu

引用次数: 0

A Study on Enhancing Teaching Presence in Teacher Education MOOC 提高教师教育MOOC教学存在感的研究

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498800

Tingxi Feng, Zhong-Quan Sun

引用次数: 0

The Influence of Social Network Addiction and Loneliness on Learning Engagement 社交网络成瘾和孤独感对学习投入的影响

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498836

Jianxia Cao, Chen Zhang, Yueyang Sun

{"title":"The Influence of Social Network Addiction and Loneliness on Learning Engagement","authors":"Jianxia Cao, Chen Zhang, Yueyang Sun","doi":"10.1145/3498765.3498836","DOIUrl":"https://doi.org/10.1145/3498765.3498836","url":null,"abstract":"The rapid development of social networks has brought a huge impact on the study and life of college students. To understand its impact on college students’ learning engagement is an important way to analyze college students’ academic quality and effectively intervene with their academic development. This article explored the impact of social network addiction and loneliness and explored on learning engagement. Using college students’ social network addiction questionnaire, college student learning engagement questionnaire and loneliness scale, 521 questionnaire data from college students was analyzed, and the following conclusions were obtained:(1) Social network addiction is positively correlated with loneliness. (2) Loneliness is negatively correlated with learning engagement. (3) Social network addiction is negatively correlated with learning engagement. (4) Social network addiction has a significant positive effect on loneliness. (5) Loneliness has a significant negative impact on learning engagement. These findings give directions and suggestions on improving students’ learning engagement in social network era.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122938573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Learning Strategies Public University Students at the Time of COVID-19 新冠肺炎时期公立大学学生的学习策略

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498828

Ynés Phun-Pat, O. Curro-Urbano, Carmen Chauca, Maritza Elizabeth Arones Mayurí

{"title":"Learning Strategies Public University Students at the Time of COVID-19","authors":"Ynés Phun-Pat, O. Curro-Urbano, Carmen Chauca, Maritza Elizabeth Arones Mayurí","doi":"10.1145/3498765.3498828","DOIUrl":"https://doi.org/10.1145/3498765.3498828","url":null,"abstract":"After more than a year of a pandemic that forced educational institutions of all levels to make changes in teaching practice and continue with the teaching-learning process in a virtual way, the presence of the COVID-19 pandemic has allowed experience the needs or limitations of access to Internet connectivity, technological resources, management of digital tools and appropriate strategies; not only in teaching but also in student learning strategies. The following research objective was proposed: to determine the learning strategies used by University students in the time of COVID-19, in a Public University of Peru. A sample of 302 students from the 2020 academic period was considered, for which the ACRA-Abridged learning strategies instrument (ACRA-A) for university students from De la Fuente Arias et al was applied; 65% were students of Health Sciences and 35% students of Social Sciences and Humanities, comprised in two age groups: the Middle includes students from 16 to 19 years old and the Late group includes students from 20 years old and over. The 20% of the students in the area of Health Sciences and Social Sciences and Humanities used comprehension strategies and study habits in online learning, supported by technological resources, provided by the Integrated University Management System (SIGE) of the University.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115552588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Experimental Study of the Efficacy of Augmented Reality in Chinese Kindergarten-Level Students' Learning of English Vocabulary 增强现实技术对中国幼儿园学生英语词汇学习效果的实验研究

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498779

Yijia Yuan

引用次数: 2

An Optimization Scheme for College Teacher Recruitment Management System Based on Blockchain and Text Recognition 基于区块链和文本识别的高校教师招聘管理系统优化方案

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498803

D. Song, Jialuolun Ma, Yiran Wang

{"title":"An Optimization Scheme for College Teacher Recruitment Management System Based on Blockchain and Text Recognition","authors":"D. Song, Jialuolun Ma, Yiran Wang","doi":"10.1145/3498765.3498803","DOIUrl":"https://doi.org/10.1145/3498765.3498803","url":null,"abstract":"At present, some colleges and universities use the recruitment system to complete the registration and review of candidates in the recruitment work, but the review work still requires reviewers to spend a lot of time to complete. In addition, candidates submit malicious incorrect registration information to disrupt recruitment, which not only increases the workload of reviewers, but also affects the efficiency of recruitment. Candidates need to upload scanned copies of certification materials (such as ID card, degree certificate, graduation certificate, etc.) when registering. Some candidates are worried about whether the information will be leaked and the reviewers are unfair in reviewing for personal gains. In response to these problems, this article proposes to add text recognition to the recruitment management system of a university teacher to complete the system's automatic registration review. Based on the traceability and non-tampering characteristics of blockchain technology, the security and traceability of registration information are guaranteed. Kind of optimization plan. By analyzing the system process, selecting a third-party API interface to complete text recognition, and combining the simple filtering function of the system to build an automated audit function of the system. Select the candidate's registration information as the traceability object, optimize the system process, write smart contracts, web3.js connect the system and the blockchain. Experiments have proved that the automated audit function is automatically executed after candidates submit the registration form, and the average audit speed is 550ms. Reduce the workload of reviewers and improve recruitment efficiency. If the candidate has questions about the review process, the candidate can retrospectively verify whether the registration information has been tampered with through the blockchain, which ensures the fairness of the recruitment work.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123314493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research Context and Trends of Educational Games: A systematic review of CSSCI articles 教育游戏的研究背景与趋势:CSSCI文献综述

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498776

Yong Xie, Jingying Wang, Yonghe Zheng

引用次数: 0

Research on the PDCA Quality Management Model of the Undergraduate Innovation and Entrepreneurship Training Programs 大学生创新创业训练项目PDCA质量管理模式研究

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498823

Yan Yang, Yuan Xu

引用次数: 2

A Method of Speech Separation between Teachers and Students in Smart Classrooms Based on Speaker Diarization 基于说话人化的智能课堂师生语音分离方法

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498774

Haihua Ling, Peng Han, Jian-jua Qiu, Li Peng, Dongmei Liu, Kaiqing Luo

{"title":"A Method of Speech Separation between Teachers and Students in Smart Classrooms Based on Speaker Diarization","authors":"Haihua Ling, Peng Han, Jian-jua Qiu, Li Peng, Dongmei Liu, Kaiqing Luo","doi":"10.1145/3498765.3498774","DOIUrl":"https://doi.org/10.1145/3498765.3498774","url":null,"abstract":"The analysis of classroom teaching behavior is of great significance to improve the teaching quality of teachers, but there are few researches on teaching behavior and teaching model analysis based on speech processing. This paper proposes a method of speech separation between teachers and students based on speaker diarization, which can help educators distinguish the teaching model objectively by identifying and analyzing the speech acts of teachers and students in the classroom. Firstly, the speaker segmentation based on Bayesian distance is used to detect and segment the classroom audio. Then, based on the pre-trained speaker model, speaker detection and clustering are performed on multiple segments of speech processed by speaker segmentation. Finally, the speech acts distribution in the classroom is visualized, and the teaching model is distinguished based on the Student-Teacher analysis method. This paper uses classroom audio collected in the classrooms of two elementary schools as the experimental data. The experimental results show that the method proposed in this paper achieves 74.0% and 98.28% accuracy in speaker segmentation and speech recognition, respectively. And this experiment takes a Chinese open class as an example to analyze and discuss its teaching model in detail. The research can help teachers summarize classroom teaching effect in time, and improve the quality of classroom teaching.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122832965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

On the Naming Recommendations Derived from Expert Python Code 关于专家Python代码的命名建议

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498839

Zi Wang, A. Alsam, Donn Morrison, K. A. Strand

引用次数: 0