2020 15th International Conference on Computer Science & Education (ICCSE)最新文献

Corona E-Learning Cocktail : Sustainability of University Education in Times of Pandemics 科罗娜电子学习鸡尾酒:大流行病时期大学教育的可持续性

2020 15th International Conference on Computer Science & Education (ICCSE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSE49874.2020.9201619

C. Lecon

引用次数: 6

Research on WeChat Mini Program APP Service of Academic Social Network Application 学术社交网络应用微信小程序APP服务研究

2020 15th International Conference on Computer Science & Education (ICCSE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSE49874.2020.9201842

Jian Li, Guangqin Zhang, Jing Lin, Yankai Huang, Xiaoqing Lin

引用次数: 0

Exploration and Practice of the Teaching Pattern of Skill-oriented Courses in the Context of Online Home Schooling 网络家庭教育背景下技能型课程教学模式的探索与实践

2020 15th International Conference on Computer Science & Education (ICCSE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSE49874.2020.9201791

Jimei Li, Caixia Li

引用次数: 1

Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course 学习者的时间情感分析:公共与私人社交媒体传播渠道在女性技术转换课程

2020 15th International Conference on Computer Science & Education (ICCSE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSE49874.2020.9201631

Jialin Yu, O. T. Aduragba, Zhongtian Sun, Sue Black, Craig Stewart, Lei Shi, A. Cristea

{"title":"Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course","authors":"Jialin Yu, O. T. Aduragba, Zhongtian Sun, Sue Black, Craig Stewart, Lei Shi, A. Cristea","doi":"10.1109/ICCSE49874.2020.9201631","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201631","url":null,"abstract":"Social media is ubiquitous, a continuous part of our daily lives; it offers new ways of communication. This is especially crucial in education, where various online systems make use of (perceived) public or private communication, as a means to support the learning process, often in real-time. However, not much research has been carried out in analysing and comparing such channels and the way participants use them. Thus, this paper analyses a course offering both public and private types of communication to its participants. Participants communicate via two social media channels (beyond traditional email etc.): Twitter (open to the public) and Microsoft Teams (for internal communication). In this paper, we specifically analyse the communication patterns of learners, focusing on the temporal analysis of their sentiments on the public versus the private platform. The comparison shows that, as possibly expected, there exist similarities between expressed sentiment in public and private channels. Interestingly however, the private platform is more likely to be used for negative utterances. It also shows that sentiment can be clearly connected to events in the course (e.g., the residentials increase both volume and positivity of comments). Finally, we propose new measures for sentiment analysis to better express the nature of change and speed of change of the sentiment in the two channels used by our learners during their learning process.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129807687","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: 3

Precision Teaching Based on Data-driven Model 基于数据驱动模型的精准教学

2020 15th International Conference on Computer Science & Education (ICCSE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSE49874.2020.9201752

Ying Li, Zhang Jiong, Tianyu Chen

{"title":"Precision Teaching Based on Data-driven Model","authors":"Ying Li, Zhang Jiong, Tianyu Chen","doi":"10.1109/ICCSE49874.2020.9201752","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201752","url":null,"abstract":"This paper proposed an innovative data-driven approach DNN-based Precision Teaching Model (DNN-PTM) combining teaching strategies, teaching quality and learning effect with deep neural network techniques. We implement Deep Neural Network (DNN) to evaluate learning effect by analyzing teaching data. DNN-PTM aims to provide personalized and adaptive teaching with the characteristics of \"precise teaching and student-centered learning\". It focuses on developing the dynamic auto-tuning instructions to cater to learning preferences for each student not for the class. Moreover, DNN-PTM can establish a Personal Knowledge Map through three steps: (I) organizing data: to collect massive of explicit data (directly gathered in the process of teaching and learning) and implicit data (indirectly describes the quality of teaching and learning); (II) building model: to analyze the relationship among teaching behaviors, learning characteristics and education results; (III) Evaluating quality: to measure the quality of an optimal PT strategy predicted in (II) according to its positive effects on teaching and learning. Therefore, DNN-PTM has strong adaptability and intelligence because it can learn a best possible teaching decision which is suitable for the current learning situation from a large number of data.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128966001","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

Fast Parallel Extraction Method of Normalized Vegetation Index 归一化植被指数快速并行提取方法

2020 15th International Conference on Computer Science & Education (ICCSE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSE49874.2020.9201851

Xianyu Zuo, Tongyuan Qi, Baojun Qiao, Zhitao Deng, Q. Ge

{"title":"Fast Parallel Extraction Method of Normalized Vegetation Index","authors":"Xianyu Zuo, Tongyuan Qi, Baojun Qiao, Zhitao Deng, Q. Ge","doi":"10.1109/ICCSE49874.2020.9201851","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201851","url":null,"abstract":"At present, accelerated processing of remote sensing big data has become an important research topic in the field of remote sensing. Remote sensing image processing based on large-scale clusters currently is the mainstream. However, how to fully tap the computing power of a single computing node in the cluster has become issues that cannot be ignored in the field of remote sensing image processing. Traditional GPU programming is difficult to develop, the development cycle is long, and the requirements for developers are very high. In order to improve the efficiency of GPU programming and shorten the development cycle of parallel programs, Nvidia, Grary, PGI and CAPS jointly launched a new programming standard-OpenAcc. In this paper, OpenAcc-NDVI, as a fast parallel extraction method is used to optimize NDVI algorithm. Based on different computing scenarios, two granularity acceleration models are proposed. It has been verified by multiple experiments that when the data size reaches 10000 * 10000, OpenAcc-NDVI can achieve an acceleration of about 5.3 times. After error analysis, the error of algorithm experiment result is 0, there is no loss of precision. The NDVI algorithm based on OpenAcc has excellent acceleration performance, efficient development process, and high calculation accuracy.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129661170","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

Facial Expression Recognition Based on Sparse Autoencoder and Shallow Convolutional Neural Network 基于稀疏自编码器和浅卷积神经网络的面部表情识别

2020 15th International Conference on Computer Science & Education (ICCSE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSE49874.2020.9201819

Menghan Sheng, Li Zhang, Lingyu Yan, Chunzhi Wang, Min Li, Huiling Xia, Yujin Zhang

引用次数: 0

Design of temporary vehicle parking management system of residential area based on credit system 基于信用制度的小区临时车辆停放管理系统设计

2020 15th International Conference on Computer Science & Education (ICCSE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSE49874.2020.9201665

Chunzhi Wang, Ruoxi Wang, Z. Su

引用次数: 1

The Creation and Case Study of Smart Learning Environment 智能学习环境的创造与案例研究

2020 15th International Conference on Computer Science & Education (ICCSE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSE49874.2020.9201822

Jie Jiang, DeKun Xu

引用次数: 0

Exploration on Theoretical and Practical Projects of Software Architecture Course 软件体系结构课程理论与实践项目探索

2020 15th International Conference on Computer Science & Education (ICCSE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSE49874.2020.9201748

Li Zhang, Yanxuan Li, Ning Ge

{"title":"Exploration on Theoretical and Practical Projects of Software Architecture Course","authors":"Li Zhang, Yanxuan Li, Ning Ge","doi":"10.1109/ICCSE49874.2020.9201748","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201748","url":null,"abstract":"It has been widely recognized that software architecture is one of the hard courses to teach in software engineering. First, it is usually difficult to update the knowledge written in textbooks with the rapidly developed practical progress. Accordingly, we need to teach students how to follow the state-of-the-art research works within both academic and industrial context. Secondly, due to the fact that students are lacking practical experience on the design and development of large-scale systems, it is difficult for them to deeply understand the theory and rationality of software architecture. Accordingly, we need to teach students how to cope with practical problems based on the learnt theoretical work. This paper presents our exploration on designing theoretical and practical projects of software architecture course for postgraduate students during the last ten years. We aim to improve students’ ability to investigate cutting-edge achievements and concerns in academia and industry, to understand, analyze, and design industrial software architecture based on open-source systems. Furthermore, we expect and encourage students’ potential to become software architects. This paper details our project setup and discusses the feedbacks, and shows the benefits of our projects.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"1657 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128033608","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