2021 11th International Conference on Information Technology in Medicine and Education (ITME)最新文献_第6页

Features Correlation Analysis and Classification based on EdNet User Online Learning Behavior 基于EdNet用户在线学习行为的特征关联分析与分类

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00042

Ying Xie, Jiangtao Huang, Jiafu Liu

{"title":"Features Correlation Analysis and Classification based on EdNet User Online Learning Behavior","authors":"Ying Xie, Jiangtao Huang, Jiafu Liu","doi":"10.1109/ITME53901.2021.00042","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00042","url":null,"abstract":"Online learning has become an increasingly popular way of learning. In order to improve users' online learning experience and learning effectiveness, analysis on users' online learning behavior has become a hot issue in the field of education big data. Based on the EdNet data set, this research randomly selects some users, counts these user's answer scores, elapsed time and other learning behavior data, and then extracts feature. Meanwhile, features of questions difficulty are calculated on the basis of the EdNet raw data, and construct user completion difficulty features. By extracting and constructing the features of users' learning behavior, a random forest model is used to classify and predict the user's level. The experimental result shows that, on the issue of classifying user's level, the user completion difficulty features are conducive to model performance. It also confirms that the features of questions difficulty has a great relationship with user's learning effectiveness. Moreover, this research gives some suggestions for users to improve their learning performance.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"27 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85132265","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

Constructing Diversified online Teaching Based on Rain Classroom 基于Rain课堂构建多元化在线教学

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00121

Chunyan Liu

引用次数: 0

Analysis on the Impact of College Students' Online Learning Investment 大学生网络学习投入的影响分析

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00122

Guan XueYi, Hu Weilin, W. Tianyi, Hao Yufeng, Ren Yonghao

{"title":"Analysis on the Impact of College Students' Online Learning Investment","authors":"Guan XueYi, Hu Weilin, W. Tianyi, Hao Yufeng, Ren Yonghao","doi":"10.1109/ITME53901.2021.00122","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00122","url":null,"abstract":"In recent years, with the rapid development of the Internet and communication technology, online learning has become an important means and way for college students to acquire knowledge, but the quality and effect of online learning are not satisfactory. By exploring the reasons why college students are willing to invest time and energy in online learning, more targeted online courses can be developed to further promote the overall knowledge literacy of college students. This article adopts a data-driven approach, starting from the emotional dimension, by studying the comments and barrage data of some courses in bilibili, China University MOOC, and Tencent classrooms, after data cleaning, use topic analysis, word cloud graphs and data visualization to analyze the emotional state of college students in the process of learning online classes. Combined with the interactive mode, manipulation method, and auxiliary functions of the online course, leads to the reasons why college students are willing to invest time and energy in online learning. Through the research results, we found that online teaching videos with advanced marking of the difficulty of the course, humorous teaching style, and high degree of interaction are more popular among college students. Therefore, this research suggests that teachers can carry out gradient teaching when recording online courses, breaking down the difficulties from simple to deep, from easy to difficult, and at the same time increase teacher-student interaction in the teaching process to increase students' participation, thereby increasing the emotional investment in online learning level. Applying the findings of this survey to online teaching platforms and online teaching arrangements for colleges and universities will better increase the degree of college students' online learning investment, and improve the sustainability of college students' online learning investment as a whole.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"13 1","pages":"577-581"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91153673","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 Dual Platforms Integration for Practice-Teaching 实践教学双平台集成研究

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00128

Ruwei Luo, Qingxian Que

引用次数: 0

QoS Correlation-based Service Composition Algorithm for Multi-constraint Optimal Path 基于QoS关联的多约束最优路径服务组合算法

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00034

Jian Yu, Zhi-dan Lin, Qiong Yu, Xuesu Xiao

引用次数: 0

Informatization Promotes Medical Colleges To Improve The Level Of Governance And The Quality Of Personnel Training 信息化促进了医学院校治理水平和人才培养质量的提高

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00133

Kun Peng

{"title":"Informatization Promotes Medical Colleges To Improve The Level Of Governance And The Quality Of Personnel Training","authors":"Kun Peng","doi":"10.1109/ITME53901.2021.00133","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00133","url":null,"abstract":"With the development of information technology, informatization plays an increasingly important role in medical vocational education. It has a broad prospect to improve the quality of medical vocational education with information as the starting point. This paper analyzes from the aspects of informatization to improve the level of internal governance, leading the implementation of the reform of the three education, and enhancing the synergy of medical education. It focuses on the construction of internal control system of medical vocational colleges, decision-making assistance system of medical vocational colleges, and intelligent management system of medical vocational colleges. Informatization leads the reform of teachers, teaching materials and teaching methods, the collaborative platform of education resources and medical education, and the collaborative platform of job skills and medical education, etc. Combining with the characteristics of medical education itself, it is of practical significance to use information measures to assist the construction of high quality medical education.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"38 1","pages":"627-630"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81039212","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

Java Curriculum Design Concept that Integrates Design Thinking and Heuristic Teaching 设计思维与启发式教学相结合的Java课程设计理念

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00097

Hui Zhang, Hong Wang

引用次数: 0

Explore the Mode of Big Data Talent Training Based on Integration between Industry and Education for IMIS 探索基于产学研结合的管理信息系统大数据人才培养模式

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/itme53901.2021.00124

Zhu Cuiling, Yang Chengwei

引用次数: 1

Current situation and reform of the integration process of vocational education -- Taking information technology professional as an example 职业教育一体化进程的现状与改革——以信息技术专业为例

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00100

Gang Li, Hong Wang, Yuanjie Zheng

引用次数: 1

Graph Convolution Neural Network-based Revelation of Students' Career Expectations 基于图卷积神经网络的大学生职业期望启示

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00024

Jinjiao Lin, Tianqi Gao, Yuhua Wen, Yanmiao Yu, Bi-Zhen You, Yanfang Yin, Yanze Zhao

{"title":"Graph Convolution Neural Network-based Revelation of Students' Career Expectations","authors":"Jinjiao Lin, Tianqi Gao, Yuhua Wen, Yanmiao Yu, Bi-Zhen You, Yanfang Yin, Yanze Zhao","doi":"10.1109/ITME53901.2021.00024","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00024","url":null,"abstract":"Clarifying the career expectations of freshmen is an important means to improve their future employment satisfaction. In the past, colleges and universities usually used questionnaires or personal interviews to understand students' career expectations. However, due to the complexity of everyone's goals and ideas, it is difficult to accurately predict students' professional expectations, and it is time-consuming and labor-intensive. With the development of data mining technology, many scholars use student behavior data to predict students' career expectations, but a large amount of data is needed for model training. Recent studies suggests that we can use the Career Planning Book assignment submitted by students to mine the career expectations of students. However, the career planning education of students in most domestic universities has not been carried out for a long time, and it is difficult to obtain a large amount of text data. Traditional data mining techniques, such as SVM and KNN, are not suitable for such small sample data, while Graph Convolutional Neural Network (GCN)model has a high accuracy for small sample data. Therefore, this paper proposes a model based on GCN, which can mine students' career expectations through Student's Career Planning Books. The experimental results show that GCN model can mine students' career aspiration with high accuracy under a circumstance of less data.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"166 1","pages":"66-70"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74329231","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