Proceedings of the 13th International Conference on Education Technology and Computers最新文献_第6页

Employment Trends and Forecast (2017-2021) for Engineering Students in a Double Degree Joint Programme 联合双学位工程专业学生就业趋势与预测(2017-2021

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498825

Li Cheng

引用次数: 1

On the Construction Path of Digital Teaching Resource Database under the Background of “Classroom Revolution” 论“课堂革命”背景下数字化教学资源库的建设路径

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498806

Huannian Meng, Huaiyu Fan, Cuiying Lin

引用次数: 0

Effects of Gamified Learning Platforms on Students' Learning Outcomes: A Meta-analysis Taking Kahoot and Quizizz as Examples 游戏化学习平台对学生学习成果的影响:以Kahoot和Quizizz为例的meta分析

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498781

Yinyu Wang, Yufei Qiao, Xue Wang

引用次数: 0

Role Analysis of CSCL Online Synchronous Dialogue from the Perspective of Social Network Analysis: Researching Collaborative Learning based on Tencent Online Documents as An Example 社会网络分析视角下CSCL在线同步对话的角色分析——以腾讯在线文献为例研究协同学习

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498797

Wen-Xuan Wang, Jing Li, Xiaoxuan Zhang

{"title":"Role Analysis of CSCL Online Synchronous Dialogue from the Perspective of Social Network Analysis: Researching Collaborative Learning based on Tencent Online Documents as An Example","authors":"Wen-Xuan Wang, Jing Li, Xiaoxuan Zhang","doi":"10.1145/3498765.3498797","DOIUrl":"https://doi.org/10.1145/3498765.3498797","url":null,"abstract":"Social network analysis is widely used in the study of interactive behaviors in online collaborative learning activities. It explores the rules of group networks and finds the rules of personal development through community graphs and average degree equivalents. Using social network analysis methods to study collaborative learning is conducive to exploration the nature of the collaborative learning process which provides valuable practical support for the development of online collaborative learning. This study took 47 second-year undergraduates majoring in educational technology as the research objects, and carried out research-based collaborative learning activities based on Tencent online documents in small groups. We recorded the dialogue behavior of each student during the online collaboration process. And we classified the information into information sharing, approval, Disagreement, interrogative, comprehensive, and field-controlled discussions. We use Gephi software to build a classified comprehensive social network, and analyze the characteristics of the collaborative network based on average degree, graph density, average path length, and average clustering coefficient value, and Combining group role characteristics. We explore the relationship between group, group role, and academic performance. The results of the research show that most of the group's dialogue activities are more inclined to general information sharing and discussion. The group with high cohesion may not achieve the highest results, and the role of the group leader as a leader may not be the best in academic performance.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117155052","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

Learning Path Recommendation Using Lesson Sequence and Learning Object based on Course Graph 基于课程图的课程序列和学习对象的学习路径推荐

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498767

Juxiang Zhou, Xiaoyu Ma, Peipei Shan, Jun Wang

{"title":"Learning Path Recommendation Using Lesson Sequence and Learning Object based on Course Graph","authors":"Juxiang Zhou, Xiaoyu Ma, Peipei Shan, Jun Wang","doi":"10.1145/3498765.3498767","DOIUrl":"https://doi.org/10.1145/3498765.3498767","url":null,"abstract":"With the continuous popularity of online learning, it is difficult for learners to decide how to learn when they face a large number of learning resources, especially when they must balance the limited learning time available and multiple learning objectives under different learning scenarios. This paper presents a learning path recommendation using lesson sequence and learning object based on course graph. This paper tries to get a more personalized and suitable learning path from three aspects. First, this paper realizes the semantic association between knowledge points and resources by constructing a multi-relational course knowledge graph based on lesson layer with three-layered content hierarchy. Second, AprioriAll algorithm is applied to dig out the target knowledge point (start lesson) with the highest confidence level in the current knowledge point of the learning record from the learners' interactive data. Third, we provide flexible ways to continue learning by evaluating the learners' knowledge mastery, such as providing auxiliary learning paths to enhance the current knowledge. More importantly, the learner's interaction data and learning preferences are considered throughout the recommendation process, and some personalized parameters are allowed to be dynamically updated, which will make the recommendations more and more personalized and accurate with the increasing use.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126960943","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

Research on Online and Offline Blended Teaching Method for Big Data Course in Financial Universities 金融院校大数据课程线上线下混合教学方法研究

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498785

M. Hai, Haifeng Li, Yangyang Huang

引用次数: 0

How Different Cognitive Style Groups Affect Learners’ Knowledge Construction in Collaborative Argumentation 不同的认知风格群体如何影响学习者在合作论证中的知识建构

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498831

Xinyue Jiao, C. Yi, Chunping Liu, Yong Xie, Ning Ma

{"title":"How Different Cognitive Style Groups Affect Learners’ Knowledge Construction in Collaborative Argumentation","authors":"Xinyue Jiao, C. Yi, Chunping Liu, Yong Xie, Ning Ma","doi":"10.1145/3498765.3498831","DOIUrl":"https://doi.org/10.1145/3498765.3498831","url":null,"abstract":"The ability of innovation, critical thinking, communication and cooperation are highly emphasized. Knowledge construction has been recognized as a crucial collaborative process contributing to individuals' learning and to high-productivity collaboration. Cognitive style is an important factor that affects the knowledge construction of students. This research aims to explore how the combination of people with different cognitive styles affects students’ collaborative knowledge construction. The intuition-analysis cognitive style classification is used as the basis for grouping. There are eight groups in four different combination which include all-analysts, two intuitivists & one analysts, two analysts & one intuitivist, and all-intuitivists. They were asked to take part in a collaborative argumentation which were recorded for further analysis. The results show that, the group with different cognitive style students performs better than those with same cognitive style members in knowledge construction in the collaborative argumentation. In the group of mixed cognitive styles, the more analytic students, the higher and more logical the entire group’ knowledge construction is. Therefore, it is recommended that teachers adopt the heterogeneous cognitive styles grouping strategy.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126647962","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

Teaching Method Innovation in the Online Experiment Course of Automatic Test 《自动测试》在线实验课程教学方法创新

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498790

Guohua Wang, Tianzhe Li, Xuesong Bai, Minghu Ren

引用次数: 0

Research on the CRF-based Sequence Labeling Algorithm Used in Reference Resolution of Mathematical Word Problem Understanding 基于crf的序列标注算法在数学词题理解参考消解中的应用研究

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498769

Qingtang Liu, Xinqian Ma, Peng Zhou, Linjing Wu, Shuang Yu, Xueyan Yang

{"title":"Research on the CRF-based Sequence Labeling Algorithm Used in Reference Resolution of Mathematical Word Problem Understanding","authors":"Qingtang Liu, Xinqian Ma, Peng Zhou, Linjing Wu, Shuang Yu, Xueyan Yang","doi":"10.1145/3498765.3498769","DOIUrl":"https://doi.org/10.1145/3498765.3498769","url":null,"abstract":"Resolving the reference phenomenon in application problems is a key step to realize the understanding of mathematical problems. Compared with the Chinese corpus in the general field, this study analyzed the characteristics of reference resolution in mathematical stratified sampling word problems, and explored key factors by combining the C4.5 decision tree algorithm. On this basis, the study proposed a CRF-based sequence labeling algorithm, which was exploited to identify the to-be-solved items of the stratified sampling problem and resolved them. The experimental data is the stratified sampling word problems collected from the math problems in the Chinese college entrance examination and the test problems in the textbook from 2012 to 2020. The results show that the F-values for the antecedents and anaphors of the mathematical stratified sampling word problems based on CRF sequence labeling can reach 81.29% and 90.69%, respectively, and the F-values for reference resolution can reach 84.84%, which is higher than the traditional Bayesian method.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132435017","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

The Application of VR Technology in Traditional Culture and Art Immersive Teaching for Chinese Children VR技术在中国儿童传统文化艺术沉浸式教学中的应用

Proceedings of the 13th International Conference on Education Technology and Computers Pub Date : 2021-10-22 DOI: 10.1145/3498765.3498780

Ying-Chien Chu

引用次数: 0