Proceedings of the 2017 1st International Conference on E-Education, E-Business and E-Technology最新文献

Utilizing Latent Semantic Analysis to Provide Automated Educational Support 利用潜在语义分析提供自动化教育支持

Proceedings of the 2017 1st International Conference on E-Education, E-Business and E-Technology Pub Date : 2017-09-10 DOI: 10.1145/3141151.3141159

Quoc-Viet Dang

{"title":"Utilizing Latent Semantic Analysis to Provide Automated Educational Support","authors":"Quoc-Viet Dang","doi":"10.1145/3141151.3141159","DOIUrl":"https://doi.org/10.1145/3141151.3141159","url":null,"abstract":"The traditional in-class methodology was developed for small classrooms of 15-20 students. Low student to teacher ratios, typically under 20 students per teacher, have been preferred and recommended to maximize student achievement, engagement, and retention from research starting in the 1970's [1] [2] [3]. Actual classroom sizes for K-12 vary depending on a variety of factors [4]. Today, some undergraduate Engineering courses consist of more than ten times that many students: some who are interested, some who just want a passing grade, and others who are not yet ready for college and do not properly prepare to study material. In fact, according to a national survey consisting of 560 colleges and universities in 2016, 20% of first-year college students had difficulty learning and getting help with coursework [5] [6]. As classroom sizes increase and varying levels of experiences of students, this situation will only exacerbate existing problems and deficiencies utilizing current teaching methodologies and tools. An automated tool that can provide similar recommendations would free up all that time and allow for more meaningful discussions. Also, students would save hours individually in terms of getting stuck, waiting for responses, and then spending time to get back to where they were later when they got stuck. This is potentially even more beneficial for students who do not typically ask questions when they get stuck, hoping that attending lecture or discussion will answer their questions. Utilizing latent semantic analysis (LSA), a natural language processing algorithm, recommendations can be created through mathematical searching and categorizing sources using singular value decomposition (SVD). The automated tool can pre-emptively suggest additional reading and viewing material, allowing the student to continue their studies without a long wait interval.","PeriodicalId":165786,"journal":{"name":"Proceedings of the 2017 1st International Conference on E-Education, E-Business and E-Technology","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134506965","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

Implementing ICT for Tourists with Disabilities 为残障游客实施资讯及通讯科技

Proceedings of the 2017 1st International Conference on E-Education, E-Business and E-Technology Pub Date : 2017-09-10 DOI: 10.1145/3141151.3141152

Milad Pirayegar Emrouzeh, K. Dewar, G. Fleet, Y. Bourgeois

引用次数: 11

The Impact of Work Experience on Students' Financial Behaviour 工作经验对学生财务行为的影响

Proceedings of the 2017 1st International Conference on E-Education, E-Business and E-Technology Pub Date : 2017-09-10 DOI: 10.1145/3141151.3141162

D. Nano, B. Mema

引用次数: 2

Consumer behavior regarding privacy, satisfaction and loyalty of e-Services in Mexico 墨西哥消费者对电子服务的隐私、满意度和忠诚度的行为

Proceedings of the 2017 1st International Conference on E-Education, E-Business and E-Technology Pub Date : 2017-09-10 DOI: 10.1145/3141151.3141154

Gabriel Chávez Covarrubias, Berenice Juárez López, Grace Aileen Ruiz Santoyo

引用次数: 0

A System for Visualization and Analysis of Online Pedagogical Interactions 在线教学互动的可视化与分析系统

Proceedings of the 2017 1st International Conference on E-Education, E-Business and E-Technology Pub Date : 2017-09-10 DOI: 10.1145/3141151.3141161

André Rei, Á. Figueira, Luciana Oliveira

引用次数: 4

Feasible Mobile Voting: Contextualised Interpretation of the Prospects and Difficulties in an International Tertiary Institution 可行的移动投票:对国际高等教育机构前景和困难的情境化解释

Proceedings of the 2017 1st International Conference on E-Education, E-Business and E-Technology Pub Date : 2017-09-10 DOI: 10.1145/3141151.3141163

K. Boateng, Ansah Adwoa Twumwaa, Albert Mensah, Owusu-Renner Isaac

引用次数: 0

A Conceptual System Architecture for Motivation-enhanced Learning for Students with Dyslexia 阅读障碍学生动机强化学习的概念系统架构

Proceedings of the 2017 1st International Conference on E-Education, E-Business and E-Technology Pub Date : 2017-09-10 DOI: 10.1145/3141151.3141158

Ruijie Wang, Liming Luke Chen, Ivar Solheim

引用次数: 4

Improving Prediction of Student Performance based on Multiple Feature Selection Approaches 基于多特征选择方法改进学生成绩预测

Proceedings of the 2017 1st International Conference on E-Education, E-Business and E-Technology Pub Date : 2017-09-10 DOI: 10.1145/3141151.3141160

Cheng Ma, Baofeng Yao, Fang Ge, Yurong Pan, Youqiang Guo

{"title":"Improving Prediction of Student Performance based on Multiple Feature Selection Approaches","authors":"Cheng Ma, Baofeng Yao, Fang Ge, Yurong Pan, Youqiang Guo","doi":"10.1145/3141151.3141160","DOIUrl":"https://doi.org/10.1145/3141151.3141160","url":null,"abstract":"Recently, to provide the better education for students, there are a lot of researchers that discover the latent characteristics of students for predicting their performance. However, few existing work has explored the problem of extracting information from E-learning to get more precise and interpretable analysis. Based on the edX open data, we first predict whether the student will obtain the certificate, and take it as the criterion of student perfomance. Next, according to the requirement of the research, student features on dataset can be classified into three categories primarily, and some characters which seem umimportant intuitively have been removed already. Then, we adopt several kinds of feature selection approaches to extract important influencing student feature of the rest characters. Finally, though a few of existing classical machine learning methods, we build the model and predict student performance. The extensive experiments on the dataset of edX open platform we have conducted validated the effectiveness of predicting student performance.","PeriodicalId":165786,"journal":{"name":"Proceedings of the 2017 1st International Conference on E-Education, E-Business and E-Technology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131953763","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: 7

Research on Fuzzy Ontology E-learning Based on User Profile 基于用户档案的模糊本体电子学习研究

Proceedings of the 2017 1st International Conference on E-Education, E-Business and E-Technology Pub Date : 2017-09-10 DOI: 10.1145/3141151.3141164

Jingfeng Shao

引用次数: 6

Preservice Teachers' Conceptions of Creative Teaching through Knowledge Building Practices 职前教师在知识建构实践中的创新教学观念

Proceedings of the 2017 1st International Conference on E-Education, E-Business and E-Technology Pub Date : 2017-09-10 DOI: 10.1145/3141151.3141153

Huang-Yao Hong, Pei-Yi Lin, Guo-Tsai Hung

引用次数: 0