2021 3rd International Conference on Internet Technology and Educational Informization (ITEI)最新文献_第3页

A study of frequency-based and mobile terminal-based deep learning of college English vocabulary 基于频率和移动终端的大学英语词汇深度学习研究

2021 3rd International Conference on Internet Technology and Educational Informization (ITEI) Pub Date : 2021-12-01 DOI: 10.1109/ITEI55021.2021.00046

Fang Zhang

{"title":"A study of frequency-based and mobile terminal-based deep learning of college English vocabulary","authors":"Fang Zhang","doi":"10.1109/ITEI55021.2021.00046","DOIUrl":"https://doi.org/10.1109/ITEI55021.2021.00046","url":null,"abstract":"In the era of rapid development of artificial intelligence, mobile English vocabulary APP has become the primary way for college students to learn English vocabulary. At present, the effect of English vocabulary mobile learning on students' vocabulary acquisition is not satisfactory. Therefore, it is essential to analyze the causes and propose solution strategies. This paper explores the four major elements of improving students' vocabulary width and depth based on the frequency effect, deep learning, coverage, practice frequency, and automaticity. Also, automaticity is a prerequisite to alleviate lexical fossilization. A repetition rate of 5–15 times a word is a prerequisite for long-term vocabulary retention [14], while the frequency of practice and vocabulary automaticity are positive variables that contribute to the transformation of passive vocabulary into automatic vocabulary, leading to vocabulary learning with higher-order thinking and ultimately to the transformation of automatic vocabulary into the active vocabulary. The teacher plays a role in assisting students to adjust their learning mood in their autonomous deep vocabulary learning. Therefore, This paper provides a theoretical basis for optimizing English vocabulary APP and English vocabulary teaching and helps students improve vocabulary ability through efficient and autonomous deep learning methods.","PeriodicalId":377225,"journal":{"name":"2021 3rd International Conference on Internet Technology and Educational Informization (ITEI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133641968","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

Visual comparative analysis of online Chinese teaching based on CNKI literature 基于CNKI文献的网络语文教学视觉对比分析

2021 3rd International Conference on Internet Technology and Educational Informization (ITEI) Pub Date : 2021-12-01 DOI: 10.1109/ITEI55021.2021.00053

Jing Tang

引用次数: 0

Design and Evaluation of the Internet Drug-purchasing Service for Middle-aged and Elderly Based on SHERPA and FMEA 基于SHERPA和FMEA的中老年互联网药品采购服务设计与评价

2021 3rd International Conference on Internet Technology and Educational Informization (ITEI) Pub Date : 2021-12-01 DOI: 10.1109/ITEI55021.2021.00023

Weiwen Meng, Ruiqiu Zhang, Wei-Ling Sun

引用次数: 0

Analysis of a new random multiple access protocol for wireless ad hoc networks based on n-csma 基于n-csma的无线自组网随机多址协议分析

2021 3rd International Conference on Internet Technology and Educational Informization (ITEI) Pub Date : 2021-12-01 DOI: 10.1109/ITEI55021.2021.00084

Jianjun Hao

引用次数: 0

A Study on the Influence of Data-driven TCM English Corpus on Teachers' Job Burnout in ESP Teaching 数据驱动的中医英语语料库对ESP教学中教师职业倦怠的影响研究

2021 3rd International Conference on Internet Technology and Educational Informization (ITEI) Pub Date : 2021-12-01 DOI: 10.1109/ITEI55021.2021.00069

Zheqian Su

引用次数: 0

Research on the Rise of Digital Humanities and the Turn of Literary Study Based on AntConc 基于AntConc的数字人文学科兴起与文学研究转向研究

2021 3rd International Conference on Internet Technology and Educational Informization (ITEI) Pub Date : 2021-12-01 DOI: 10.1109/ITEI55021.2021.00078

Jinrong Cao

引用次数: 0

Content Analysis of Chinese Netizens' Public Opinion Based on Internet Comments: Case study of 160,000+ comments from Guan Video - a social political channel followed by four million people 基于网络评论的中国网民舆情内容分析——以400万人关注的社会政治频道“关视频”16万条以上评论为例

2021 3rd International Conference on Internet Technology and Educational Informization (ITEI) Pub Date : 2021-12-01 DOI: 10.1109/ITEI55021.2021.00033

Haochuan Wang

{"title":"Content Analysis of Chinese Netizens' Public Opinion Based on Internet Comments: Case study of 160,000+ comments from Guan Video - a social political channel followed by four million people","authors":"Haochuan Wang","doi":"10.1109/ITEI55021.2021.00033","DOIUrl":"https://doi.org/10.1109/ITEI55021.2021.00033","url":null,"abstract":"When a social event is reported, public opinions that an individual could access are predominantly limited by mainstream newspapers, social media, and how they portray the voice of their audiences. Recommendation algorithms from those platforms could be biased based on those channels' political standpoints. Therefore, the comments under news sections could be manipulated and not serve as an optimal proxy for reflecting public opinions. Social groups with different interests and standpoints are constantly conflicting with others. The measurement of social opinion can help us study the social demands behind public opinion and the social conflicts that come with the demands. Thus, content analysis of comments on Internet news articles proves effective in quantifying and understanding the different demands and conflicts in society more accurately, making it possible to govern a more developed and complex society. Carrying the goal to visualize abstract and subjective social opinions into measurable data, and to prove the effectiveness of applying data in assisting social studies, this research analyzes 160,000+ internet comments from Guan Video, a social-political channel that is followed by four million people through the Chinese video platform Bilibili, which has over 223 million Chinese users. With machine learnings IF-IDF model and Word2Vec model, this research proves the effectiveness of applying innovative quantitative measures in social research through the case study of netizens' opinions on education topics. Furthermore, we hope this research inspires further quantitative studies in humanity and society with the assistance of Natural Language Processing and other technologies.","PeriodicalId":377225,"journal":{"name":"2021 3rd International Conference on Internet Technology and Educational Informization (ITEI)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122564171","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

Research on the Application of Network Platform in Teaching Spanish Reading 网络平台在西班牙语阅读教学中的应用研究

2021 3rd International Conference on Internet Technology and Educational Informization (ITEI) Pub Date : 2021-12-01 DOI: 10.1109/ITEI55021.2021.00035

Yudong Liu

引用次数: 0

Research on the Design and Application of College Students' Ideological and Political Education APP 大学生思想政治教育APP的设计与应用研究

2021 3rd International Conference on Internet Technology and Educational Informization (ITEI) Pub Date : 2021-12-01 DOI: 10.1109/ITEI55021.2021.00043

Shou-Song Huang

引用次数: 0

Smart Customer Experience of ESG Education Capability Building Roadmap for Smart Consulting, Reporting and Engaging for Carbon Peak and Carbon Neutrality Goals 智能客户体验ESG教育能力建设路线图，智能咨询，报告和参与碳峰值和碳中和目标

2021 3rd International Conference on Internet Technology and Educational Informization (ITEI) Pub Date : 2021-12-01 DOI: 10.1109/ITEI55021.2021.00083

Xiumei Zhou, Chung-Lien Pan, Yawen Feng, Mengyi Bu

{"title":"Smart Customer Experience of ESG Education Capability Building Roadmap for Smart Consulting, Reporting and Engaging for Carbon Peak and Carbon Neutrality Goals","authors":"Xiumei Zhou, Chung-Lien Pan, Yawen Feng, Mengyi Bu","doi":"10.1109/ITEI55021.2021.00083","DOIUrl":"https://doi.org/10.1109/ITEI55021.2021.00083","url":null,"abstract":"Cultivating talents for executing environmental, social, and governance (ESG) activities is increasingly essential for the education sector. It is because the social and ecological resilience of the human society depends on guiding human development towards sustainability. To prepare future professionals to manage climate change and the Covid-19 pandemic recovery challenges, the article proposes several ESG educational models, based on and design workshop outcomes using stakeholder analysis and the ESG and carbon neutrality research. Three partner maps for ESG consulting, reporting, and engaging have been developed, with special attention on the use of digital technologies to manage carbon emission for green and just transitions. Based on these maps, a model “Smart Customer System on Carbon Information” is proposed. The model highlights the importance of collaboration across professions such as management, accounting, public administration, public relations, communications, business intelligence, and data sciences, resulting in an integrated capability building roadmap among stakeholders. Future education practices and research must advance and facilitate the overall “smart customer journey” of carbon emission reporting in order to account for ESG records for a net-zero carbon-neutral future, with the help of information and communication technologies.","PeriodicalId":377225,"journal":{"name":"2021 3rd International Conference on Internet Technology and Educational Informization (ITEI)","volume":"11 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120854218","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