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2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
发布时间:2023-03-29
语言教育艺术体育 英文
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2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)


WELCOME TO EIMSS 2023

2023  3rd International Conference on Education, Information Management and Service Science(EIMSS0 2023)will be held on July 21-23, 2023 in Qingdao, China. EIMSS 2023 is to bring together innovative academics and industrial experts in the field of  Education, Information Management and Service Science to a common forum. The primary goal of the conference is to promote research and developmental activities in  Education, Information Management and Service Science and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in  Education, Information Management and Service Science and related areas. 


We warmly invite you to participate in EIMSS 2023 and look forward to seeing you in Qingdao!


微信截图_20230206150249.pngImportant Dates微信截图_20230206150249.png

point8_7s.pngFull Paper Submission Date: June 20, 2023

point8_7s.pngRegistration Deadline: July 01, 2023

point8_7s.pngFinal Paper Submission Date: July 11, 2023

point8_7s.pngConference Dates: July 21-23, 2023


微信截图_20230206150249.pngCall for paper:

Topics include but are not limited to the following areas:


Educational Science

Future education

Information Education

New generation of educational technology

Mobile learning

Formal and informal learning

Distance education, teaching

E-learning

Intelligent learning environment

Distributed learning environment

CSCL technology

Instructional design

Digital evaluation

Teaching Reform

Online education and training

Computer-mediated communication

Educational Multimedia

Blended learning

E-learning platforms and tools

Personalized teaching system

Content writing technology

Educational Technology System Framework

Learning resource retrieval, application, organization and management

Educational Technology System Development Technology

Model and framework of educational technology system

Distance learning system

E-learning standard

Artificial intelligence and open learning

Human-computer interaction of teaching system

Educational Knowledge Management Technology

Data mining, text mining and web mining in education

Simulation in learning

Intelligent Tutor System

Multi-agent system

User modeling in e-learning

Knowledge discovery and knowledge engineering

Emotional computing in education

Semantic Web and Service-based Architecture

Application and management of information technology in education

Adaptive learning environment

Electronic Performance Support System

Educational software and hardware

Collaboration and communication software

Service Science

Educational software

Educational hardware

Education network

Other related topics

Information Management

Information Technology

Information system

Information Management

Information Engineering

Information security

Data analysis and database

Data mining

Knowledge acquisition and management

Management Information System and Resource Management

Information collection and analysis

Information industry

Mathematical linguistics

Production operation and management

ERP

E-commerce and digital business

Computer Science and the Internet

Computer Control and Management

Intelligent Information Processing

Business Strategy and Information Systems

Information Management and Systems

Information Technology applied in the organization

Automatic Control Engineering

Artificial Intelligence Engineering application

Other related topics

Service Sciences

Artificial Intelligence in Service

Big Data in Service

Service System, Modeling, and Simulation

Smart Cities and Public Services

Logistics & Supply Chain Management

Material Flow (MF) Science and Technology

Machine Learning in Service

Knowledge Engineering and Management

Web Technologies and Information Management

Intelligent and cognitive technologies for services

Software service engineering, crowdsourcing, open source, and DevOps

Big data, big services, crossover services, and Internet of Services

Cloud services, IoT services, and edge services

Blockchain-inspired new services computing paradigms

The Integration of Technology and Business Strategies

Geographic Information System

Management strategy in e-commerce enterprise

Service Analytics and Applications

Service Research

Service Education

Service Practice

Service science theory

Service industry practices

Service innovation and design methodologies

Service/Event Operations, Engineering, Design, and Marketing

Service education, including curricula, courses and case studies

Service management, operation and optimization models, theories and algorithms


Note: 

1) Both Abstract and Full Paper are welcomed. The author can make an oral presentation after the Abstract is accepted and the payment is finished.

2) All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated.


Contact:

Conference Secretary: Evelyn

E-mail: iceimss@163.com

Tel: +86-18922107292(WeChat)


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同行预审任务须知

请客观公正评审,并认真完成《专家分析评估报告》(以下简称:报告),系统将根据评分及完成时效等综合情况验收并核定相关报酬和奖励。感谢配合。
1.报告评分

编辑对评析的专业内容从完整性参考价值两方面来评价报告的实用性评分,无专业性内容的报告会被否决,任务终止。

1.1完整性【5分】

【Ⅰ】0.2分/项,次要评析内容,共8项;

【Ⅱ】0.4分/项,重要评析内容,共3项;

【Ⅲ】0.8分/项,重要评析内容,共3项,需从写作逻辑结构研究主题两方面对文章进行评析,体现专业度,如果只评析了一个方面仅得0.4分/项。

1.2参考价值【5分】

需在相关部分对文章的写作逻辑结构研究主题其他问题3项内容提出修改建议,体现专业度,修改建议分为笼统清晰详细3个等级,分别对应为0、1及2分。

2. 完成期限

7天内返回该报告。必要时,须在时限内联系编辑申请延期,无故延期或超期限完成,任务都可能被终止。

3. 其他

专家也可用个人习惯的评审方式来评析文章(如,在原文批注等),但须包含报告所涉及的各方面内容,完成后,请打包压缩所有相关文件,上传至艾思科蓝系统。

报告总评分低于6分时,编辑可能提出返修,返修1次后仍未能达到要求,报告将被否决,任务终止。任务在验收前被终止的,没有任何报酬或奖励

Instructions for Reviewers

Please review the manuscript objectively, and carefully complete the report. The report will be assessed and remuneration will be provided based on the result of assessment. Thank you for your cooperation.
1.Evaluation

The report will be evaluated by its integrity and reference value. Should no professional guidance be provided in the report, the report will be rejected and the task will be terminated

1.1 Integrity [5 points]

[Ⅰ]. 0.2 point / item (8 items in total), items of secondary importance;

[Ⅱ]. 0.4 point / item (3 items in total), items of primary importance;

[Ⅲ]. 0.8 point / item (3 items in total), items of primary importance; assessment and comments on these items need to be made from two aspects: the logical flow in writing and the research topic, and only 0.4 point will be given if either aspect is not evaluated.

1.2 Reference value [5 points]

You need to provide professional modification suggestions based on the logical flow in writing, research topic and other issues regarding the manuscript. Modification suggestions are divided into three levels: general, clear, and detailed, which deserve 0, 1, and 2 points, respectively.

2. Task turnaround

You need to return the completed report within 7 days. If necessary, contact the editor to apply for an extension of the deadline. For any breach of the agreed deadline in other cases, the task will be terminated and no remuneration for the task in question will be provided

3. Miscellaneous

You are free to review manuscripts by your personal habits (e. g., making revisions or leaving comments in the original text), but the evaluation needs to cover all items listed in the report. After completion, please compress all relevant documents and upload the compressed file (zip./rar.) to the AIS system

Instruction to Editors

1.Evaluation Indicators

It is a pleasure to work with you on this project. Your returned manuscript will be assessed from the four dimensions listed below. One star is assigned to each dimension. If the requirements in the dimension are met, one star will be given. Experts winning more stars for a project are likely to have a rise in remuneration and more chances for future collaborations.

Star Evaluation Dimension Specific requirements
Grammar, punctuation, style, and format
  • Correct all errors in grammar and punctuation.
  • Correct errors in numbering of section titles, tables, figures, equations, formulae, etc.
Technical accuracy
  • Correct errors in terminology and technical presentation; ensure technical consistency.
  • Provide acronyms of terminologies at first mention when necessary, and ensure consistency in the use of acronyms.
Presentation and logic improvement Improve wording and phrasing to improve readability;
Restructure sentences, provide necessary conjunctions, and adjust the order of paragraphs to improve the logical flow.
Content-related comments
  • Pinpoint problems in the research content, presentation, theoretical framework, and other content-related issues, and provide suggestions for improvement;
  • Provide comments to ambiguous expression.
Cooperation Provide timely response to inquiries from our in-house editors or authors;
Provide on-going support for revision.
2.On-time delivery

We are committed to 100% on-time delivery of work to our authors. Please carefully read the Project Overview and Details, especially the "deadline" and "remuneration", to check whether you are available for the project before you click "accept". If you need an extension of the deadline, please inform us by mail, WeChat, or other contacts available at least one working day in advance to reset the deadline. Any breach of the agreed deadline in other cases is likely to incur deduction in remuneration.

论文翻译任务须知

1.翻译质量与配合度评估

本任务将按如下指标进行评估验收。每个评估指标占一颗星,满足该项指标得一颗星,未满足则该项不得星。任务所得星数越高,成为优质专家的几率越大。优质专家将有机会获得更高的稿酬与更高的派稿频率。

星级 指标 详情 具体指标
语言质量 评估终稿1)是否随意增译漏译;2)是否有严重机翻;3)是否有语法、大小写、标点等问题、4)行文是否流畅。
  • 无随意增译漏译、机翻问题
  • 无基础语法问题,无主语缺失句
  • 无大小写、标点、空格问题
  • 单位与公式变量的上下标和正斜体语原文一致
  • 根据实际情况合理断句、调整句型结构、句段顺序、适当意译,保证行文流畅,逻辑清晰
术语准确性 评估终稿中术语是否准确、是否全文一致
  • 术语准确且前后文一致
文风、格式 评估终稿是否符合科技论文格式与文风
  • 根据实际情况调整文内引用格式,
  • 根据参考文献列表核对文内引用
  • 纠正标题、图、表序号错误
  • 了解并严格遵循术语的缩写规则,能在首次提及时,提供专业缩写的全称,之后延用缩写
  • 文风严谨,符合科技论文特点,不出现流水句、口语化特征明显的句子
专业意见 评估专家是否提供专业内容上、论文框架等提供意见 能指出论文专业内容或框架等方面的缺陷,并提供建议
配合度 评估专家是否在稿件存在问题时,积极回应,是否配合返修
  • 能回应作者或质检编辑提出的问题
  • 能积极配合返修
2.反馈及时度评估

上述指标主要用于评估稿件质量与专家配合度。时效性为额外的评估维度。专家需按照任务详情页的“截止日期/deadline”,及时反馈稿件。因特殊原因无法及时反馈的,需至少提前1个工作日告知编辑(联系方式在任务详情页),申请延期。无故延期或超期限完成,且未告知编辑的,对应任务可能将被终止。

校对任务

1.稿件质量评估

本任务将按如下指标进行评估验收。每个评估指标占一颗星,满足该项指标得一颗星,未满足则该项不得星。任务所得星数越高,成为优质专家的几率越大。优质专家将有机会获得更高稿酬的合作机会与更高的派稿频率。

星级 维度 具体指标
拼写、冠词、标点、空格、基础语法
  • 纠正了所有的拼写、单词层面的错误
  • 纠正了所有标点、空格错误
  • 修正了基础语法问题
论文格式 校正了文内引用格式、专业缩写、参考文献等问题
悬挂句、祈使句、句意不清等 修正了悬挂句、无主语句、句意不清等问题
重复内容、逻辑修正 删除了重复的单词、句段;改善了句段逻辑,对缺失成分的句子进行了批注
配合度 能回应作者或质检编辑提出的问题;能积极配合返修
2.反馈及时度评估

上述指标主要用于评估稿件质量与专家配合度。时效性为额外的评估维度。专家需按照任务详情页的“截止日期/deadline”,及时反馈稿件。因特殊原因无法及时反馈的,需至少提前1个工作日告知编辑(联系方式在任务详情页),申请延期。无故延期或超期限完成,且未告知编辑的,对应任务可能将被终止。