Proceedings of the 4th International Conference on Information and Education Innovations最新文献

Predicting Learners' Demographics Characteristics: Deep Learning Ensemble Architecture for Learners' Characteristics Prediction in MOOCs 预测学习者人口特征:面向mooc学习者特征预测的深度学习集成架构

Proceedings of the 4th International Conference on Information and Education Innovations Pub Date : 2019-07-10 DOI: 10.1145/3345094.3345119

Tahani Aljohani, A. Cristea

{"title":"Predicting Learners' Demographics Characteristics: Deep Learning Ensemble Architecture for Learners' Characteristics Prediction in MOOCs","authors":"Tahani Aljohani, A. Cristea","doi":"10.1145/3345094.3345119","DOIUrl":"https://doi.org/10.1145/3345094.3345119","url":null,"abstract":"Author Profiling (AP), which aims to predict an author's demographics characteristics automatically by using texts written by the author, is an important mechanism for many applications, as well as highly challenging. In this research, we analyse various previous machine learning models for AP, with respect to their potential for our research problem. Based on this, we propose a Deep Learning Architecture to predict the demographics characteristics of the learners in MOOCs, incorporating multi-feature representations and ensemble learning methods. Specifically, we employ a novel pipeline, combining the most successful deep learning classifiers, Convolution Neural Networks, Recurrent Neural Networks and Recursive Neural Networks, to learn from a text. Moreover, beside the state-of-the-art training involving character and word-level input, we additionally propose phrase-level input. With this approach, we aim at deepening our understanding of the writing style of learners, and thus, predict the author profile with high accuracy. In this paper, we propose the model and architecture, and report on initial tests of our model on a large dataset from the FutureLearn platform, to predict the demographics characteristics of the learners.","PeriodicalId":160662,"journal":{"name":"Proceedings of the 4th International Conference on Information and Education Innovations","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127513105","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: 8

Abnormal Signal Detection based on Time Series Clustering 基于时间序列聚类的异常信号检测

Proceedings of the 4th International Conference on Information and Education Innovations Pub Date : 2019-07-10 DOI: 10.1145/3345094.3345109

Xiao Zhang, Xinhang Li, Hongyi Li, Di Zhao

引用次数: 0

Exploring EFL Pre-service Teachers' Multimodal Literacy: Level and Implementations 探究职前教师的多模态读写:水平与实现

Proceedings of the 4th International Conference on Information and Education Innovations Pub Date : 2019-07-10 DOI: 10.1145/3345094.3345103

S. Pramono, D. Suherdi

引用次数: 1

Effectiveness Social Inquiry Learning Model towards Students' Problem-Solving Skill in a Primary School 社会探究学习模式对小学生问题解决能力的影响

Proceedings of the 4th International Conference on Information and Education Innovations Pub Date : 2019-07-10 DOI: 10.1145/3345094.3345106

S. Nurlaili, Sapriya

引用次数: 0

Applying Social Network Analysis on Courses relationship in Informatics Mathematics Curriculum 社会网络分析在信息学数学课程关系中的应用

Proceedings of the 4th International Conference on Information and Education Innovations Pub Date : 2019-07-10 DOI: 10.1145/3345094.3345115

K. Bussaban, Asekha Khantavchai

引用次数: 0

Multi-Label Emotion Mining From Student Comments 从学生评论中挖掘多标签情感

Proceedings of the 4th International Conference on Information and Education Innovations Pub Date : 2019-07-10 DOI: 10.1145/3345094.3345112

A. Tzacheva, Jaishree Ranganathan, R. Jadi

{"title":"Multi-Label Emotion Mining From Student Comments","authors":"A. Tzacheva, Jaishree Ranganathan, R. Jadi","doi":"10.1145/3345094.3345112","DOIUrl":"https://doi.org/10.1145/3345094.3345112","url":null,"abstract":"Science, Technology, Engineering, and Mathematics (STEM) education is gaining more attention not today but has been under research, and discussion for the past few decades. Factors that are considered for research include but not limited to the following, culture on campus, teaching and learning models, and student experience in classroom, gender bias, and stereotypes. One of the major factors is the teaching model adopted which have impact on the student learning styles and their experience in the classroom. Teaching models include traditional models, modern flipped class-room models, and active learning approaches. This study focuses on active learning approaches and their impact on students learning and experience. Light-weight team is an active learning approach, in which team members have little direct impact on each other's final grades, with significant long-term socialization. In this work we used data from end of course student evaluation. We propose extend our previous method for assessing the effectiveness of the Light-weight team teaching model, through automatic detection of emotions in student feedback in computer science course by creating multi-label for each text comment. The students are surveyed about their feelings and thoughts about teaching and learning models adopted and student experience in the classroom. Results show that implementation of these methods result in increased positivity in student emotions.","PeriodicalId":160662,"journal":{"name":"Proceedings of the 4th International Conference on Information and Education Innovations","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126552389","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: 8

Statistical Analysis and Introspection on Research Situation of Foreign Language Teaching in China under CALL Environment CALL环境下中国外语教学研究现状的统计分析与反思

Proceedings of the 4th International Conference on Information and Education Innovations Pub Date : 2019-07-10 DOI: 10.1145/3345094.3345117

Zhenmei Shi, Yifei Luan

引用次数: 1

Unravel Students' Problems in Writing Recount Text: Below SFL Belt and TAD Strategy 解开学生叙述文本写作中的问题:在SFL带以下和TAD策略

Proceedings of the 4th International Conference on Information and Education Innovations Pub Date : 2019-07-10 DOI: 10.1145/3345094.3345116

D. Oktaviani

引用次数: 0

Family involvement and guidance in taking an active role in the process of teaching and learning mathematics: a case study from Costa Rica 家庭参与和指导在数学教与学过程中发挥积极作用:哥斯达黎加个案研究

Proceedings of the 4th International Conference on Information and Education Innovations Pub Date : 2019-07-10 DOI: 10.1145/3345094.3345096

Zuleyka Suárez-Valdés-Ayala, Rebeca Solis-Ortega, Angie Solís-Palma

引用次数: 0

Developing a Condition Monitoring System as an Artificial Intelligence Lab Experiment 人工智能实验室状态监测系统的研制

Proceedings of the 4th International Conference on Information and Education Innovations Pub Date : 2019-07-10 DOI: 10.1145/3345094.3345110

S. Matzka, A. Franke

引用次数: 1