{"title":"Design and Implementation of Virtual Experiment for Stack Operation via Visualization Method","authors":"Sanyuan Zhao, Fengxia Li, Hua Huang, Yufeng Chen","doi":"10.1109/ICCSE.2018.8468728","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468728","url":null,"abstract":"In many courses related to computer science, the microscopic work flows of the hardware are not visible, and their concepts are hard for the students to understand. Stack operation is an important knowledge in these courses. This paper proposes a virtual experimental case to simulate the subroutine calling. By introducing Virtual Reality and Human Computer Interaction technology, the stack operation and the data evolution of subroutine call in assembly language is intuitively demonstrated. By operating on the virtual experiment software, the students can quickly and accurately understand the concept of theory.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121017058","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}
{"title":"Research on Clustering Mining and Feature Analysis of Online Learning Behavioral Data Based on SPOC","authors":"Guiyun Zhang, Yu Zhang, Juan Ran","doi":"10.1109/ICCSE.2018.8468816","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468816","url":null,"abstract":"As the wide spread of SPOC in colleges and universities, the key point for current educational research in the era of big data is how to use SPOC's record data to analyze and mine learners' learning behavior. This paper uses the record data of more than 700 learners on the SPOC platform of Renai College of Tianjin University, adopts k-means clustering and hierarchical clustering analysis algorithms to mine learners' learning behavior characteristics, Learners are divided into four types: weak cognition, self-consciousness, short-cut and lazy. The analysis results were visualized using 3D andprobability density function graph. This paper aims to explore SPOC behavioral data model and mining algorithms.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127824700","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}
{"title":"The Reformation of Computer Basic Course Teaching Model Promoted by Competition for College Students","authors":"Yu Nie-fang, Peng Xiao-ning, Li Xiao-mei","doi":"10.1109/ICCSE.2018.8468819","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468819","url":null,"abstract":"With the vigorous development of Chinese Collegiate Computing Competition, the teaching reformation of the college computer basic courses model has been carried out under the current situation of Huaihua university. The reformation includes introducing award-winning works over the years as cases into class to inspire students' interest in learning, teaching with student's professionalism guidance, flipping classroom through online e-learning platform, changing traditional course assessment methods and opening up new teaching methods and learning modes, to ultimately improve the students' practical computer operation skills.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124949578","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}
{"title":"Classroom Attention Restoration Using Computer Game Rewarding Mechanism","authors":"Sheng Xiao, Wenlong Liang, Yishan Tang","doi":"10.1109/ICCSE.2018.8468797","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468797","url":null,"abstract":"The loss of students' attention is a universal problem in classroom teaching. Especially in the digital era, students may quickly shift their attention from the class to other distractions such as smartphones and laptops. In this paper, we analyze the psychological causes of the attention loss problem and explore a new approach to restore students' attention level in classroom teaching. We borrow the attention locking mechanism from computer games and design a timely rewarding system to stimulate the students in class. When the students are repetitively stimulated by the lecturer, their attention would be tied to what the lecturer present in the class. We build an experimental system using wechat mini program technology. During a class, the students are asked to use their smartphones to scan QR codes appearing on the projector screen from time to time. Each scan will reward students with a fraction of the class participation points and lead the students into a preset teaching scenario such as attendance checking, random questioning, and quiz. Just like the ladder ranking system widely used in online computer games, students can see their ranking of accumulated participation points after class as a long term stimuli for study. We tested the proposed teaching approach in two courses with relatively large number of students. The experiment results show that both the student attendance and their attention level remain high for the entire semester.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122658016","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}
{"title":"A Parallel Softmax Classification Algorithm Based on MapReduce","authors":"Zexi Chen, Junyan Cheng","doi":"10.1109/ICCSE.2018.8468863","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468863","url":null,"abstract":"Softmax Classification algorithm is the generalization of Logistic classification algorithm on multi-classification problems. The traditional stand-alone training algorithm's efficiency is extremely low in the running condition of large amount of data. When substantially increasing the amount of data, the algorithm above will take a lot of time to update parameters. Although the Mahout in Hadoop has realized the Logistic regression, naive Bayesian classifier and classification algorithms, the Softmax classification algorithms has not. The core part of the implementation of parallel Softmax classification algorithm is to use Mapreduce to read the training data partially and use Map tasks and Reduce tasks to realize Parallel gradient descent algorithm, which could finally iteratively update algorithm parameters. Via correlative experiment, it can be proved that the Parallelized Softmax algorithm based on Mapreduce can shorten the process of iteration and the running time and improve training efficiency and precision.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131287549","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}
{"title":"Exploration of University Information Technology Curriculum Reform Based on MOOC and SPOC","authors":"Zhang Boya, Wang Lan","doi":"10.1109/ICCSE.2018.8468766","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468766","url":null,"abstract":"With the advancement of high school information technology curriculum reform, the university information technology curriculum reform is imperative. This study focus on how to use new technology to promote university information technology curriculum reform effectively. After analyzing the status quo of university information technology curriculum and the possibility of promoting university information technology curriculum reform based on MOOC and SPOC, the study proposes that university information technology curriculum should adopt hierarchical teaching to teach students in accordance with their aptitude, as well as use MOOC and SPOC to promote reform, and expounds implementation plans of university information technology curriculum reform based on MOOC and SPOC.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130380605","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}
Shengyu Lu, Beizhan Wang, Hongji Wang, Qingqi Hong
{"title":"A Hybrid Collaborative Filtering Algorithm Based on KNN and Gradient Boosting","authors":"Shengyu Lu, Beizhan Wang, Hongji Wang, Qingqi Hong","doi":"10.1109/ICCSE.2018.8468751","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468751","url":null,"abstract":"The recommendation systems are widely used in e-commerce, especially for the recommendation systems based on collaborative filtering (CF) methods. It can analyze users' interests and preferences from their historical data, and then recommend items to them. In existing methods, it is common to calculate the similarity between users, and predict the users' rating for the items. However, most of them are predicting the ratings by single classifier and the effect is not very good. In this paper, we proposed a hybrid CF method combined the k-nearest neighbor (KNN) algorithm and gradient boosting method. We consider the effect to the performance both of the similar users and similar goods. We calculate the correlation between users and items with the KNN algorithm to filter out similar users and similar items, and then we use the gradient boosting with ensemble learning to predict users' ratings for the items. Compared with existing methods, we consider the information about similar users and similar items, and adopt multi-classifiers with ensemble learning to predict the items that users may like. We can achieve better effects in the performance. Therefore, we proposed this method to recommend items for users.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130635510","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}
Binyue Cui, Wei Zhou, Guangquan Fan, Yanbin Wu, Yijie Cui
{"title":"A Smart and Active Way for Protection of Local Cultural Heritages","authors":"Binyue Cui, Wei Zhou, Guangquan Fan, Yanbin Wu, Yijie Cui","doi":"10.1109/ICCSE.2018.8468831","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468831","url":null,"abstract":"The emergence of mobile Internet technology improved people's life environments, and brought opportunities never seen before for local culture dissemination and protection. Nowadays, many researchers engaged in looking for effective and efficient ways to broadcast and popularize local excellent culture and cultural heritages tangible and intangible supported by new internet technologies. In this research, we analyzed the thinking of how to protect local culture heritages tangible and intangible with new information technology, and then addressed a conception framework for local culture protection. According to this framework, we proposed a museum APP associated with iBeacon technology as a case to illustrate applying the new IT in local culture protection. The main functions of this APP are collection message pushing, relative keyword knowledge, local humanityies, indoor navigation and information center etc. We tested this prototype APP among university students, the questionnaire results indicated that this iBeacon based APP is popular, it can evoke users' interests to local culture knowledge due to the new IT's application.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133930394","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}
{"title":"Multi-Modal University Teaching Research Based on Big Data","authors":"Zhang Xingyun, Zhang Qiusheng","doi":"10.1109/ICCSE.2018.8468784","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468784","url":null,"abstract":"This paper briefly expounds the background of big data development and analyzes the influence of big data on university teaching, and puts forward how to introduce multi-mode teaching into university teaching under the current trend of MOOC and Microlecture.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132733940","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}
Yuhan Su, Lianfeng Huang, Siqiang Ke, Yuliang Tang
{"title":"Spectrum Multiplexing for LTE-U and Wi-Fi in Heterogeneous Network","authors":"Yuhan Su, Lianfeng Huang, Siqiang Ke, Yuliang Tang","doi":"10.1109/ICCSE.2018.8468684","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468684","url":null,"abstract":"In order to increase the network capacity and alleviate the problem of scarcity spectrum, long term evolution (LTE) in unlicensed spectrum (LTE-U) technology has been proposed to extend LTE to unlicensed spectrum. L TE-U undertakes the task of streaming data traffic for licensed spectrum, which can greatly enhance the capacity of the system. However, the introduction of LTE-U technology also gives rise to the problem of coexistence with Wi-Fi systems. In this paper, we introduce a system model of heterogeneous networks where L TE-U coexists with Wi-Fi and propose a spectrum multiplex scheme for this network scenario. The scheme ensures that Wi- Fi transmission is not interfered with, and achieves L TE- U multiplex transmission, further improving spectrum efficiency. Simulation results demonstrate that the proposed spectrum multiplex scheme can achieve L TE-U multiplex transmission while ensuring that Wi-Fi transmission is not interfered, and improves spectrum efficiency.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"228 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133746395","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}