发布求助
文献互助 智能选刊 最新文献

Cognitive Computing in Technology-Enhanced Learning最新文献

筛选
英文 中文
Understanding Student Learning Behavior and Predicting Their Performance 了解学生学习行为并预测其表现
Cognitive Computing in Technology-Enhanced Learning Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-9031-6.CH001
M. Wasif, Hajra Waheed, Naif R. Aljohani, Saeed-Ul Hassan
{"title":"Understanding Student Learning Behavior and Predicting Their Performance","authors":"M. Wasif, Hajra Waheed, Naif R. Aljohani, Saeed-Ul Hassan","doi":"10.4018/978-1-5225-9031-6.CH001","DOIUrl":"https://doi.org/10.4018/978-1-5225-9031-6.CH001","url":null,"abstract":"Despite the increase in the adoption of online educational platforms, student retention is still a challenging task with a number of students having low performance margins during these courses. This chapter intends to predict student performance based on their learning behavior on the basis of their logging data history, using the publicly available Open University Learning Analytics Dataset. To model this problem, logistic regression (LR) is used as a baseline technique. Additionally, random forest (RF), multiple layered perceptron with multiple activation functions, and Gaussian Naïve Bayes are also deployed. The results demonstrate that RF outperforms the baseline LR and other models with 89% accuracy, 89% precision, 88% recall, and 88% F1-score. Finally, the authors conclude that using the above-mentioned models, students “at-risk” can be identified which can be managed by an alert mechanism to improve student success rate by making timely interventions.","PeriodicalId":384539,"journal":{"name":"Cognitive Computing in Technology-Enhanced Learning","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129039805","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: 12
Virtual Reality in Visual Analytics of Large Datasets 虚拟现实在大数据集可视化分析中的应用
Cognitive Computing in Technology-Enhanced Learning Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-9031-6.CH012
Sameera Khan
{"title":"Virtual Reality in Visual Analytics of Large Datasets","authors":"Sameera Khan","doi":"10.4018/978-1-5225-9031-6.CH012","DOIUrl":"https://doi.org/10.4018/978-1-5225-9031-6.CH012","url":null,"abstract":"Visual analytics can be defined as a representation of data in form of diagrams, charts, pictures, graphs, etc., whereas virtual reality is a term used for the simulated interactive environment that exploits multiple sense organs of human beings to perceive information. Both of these techniques are merged to create an interactive environment for data visualization and analysis. Often it happens that a large volume of data is complex to represent, so to represent large, congested, and complex data in a manageable and comprehensive form, visual analytics is the need of an hour. The chapter discusses the scope of visual analytics, the role of virtual reality in visual analytics, challenges in VA using VR, tools used to implement it, use, and applications.","PeriodicalId":384539,"journal":{"name":"Cognitive Computing in Technology-Enhanced Learning","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129036217","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
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信