Proceedings of the 14th International Conference on Education Technology and Computers最新文献

Applying machine learning techniques to detect student's learning styles 运用机器学习技术来检测学生的学习风格

Proceedings of the 14th International Conference on Education Technology and Computers Pub Date : 2022-10-28 DOI: 10.1145/3572549.3572622

Hoa-Huy Nguyen, Loc Nguyen Duc, Kien Do Trung, Long Dang Hoang, Thi Vu, T. V. Vu, V. A. Nguyen

{"title":"Applying machine learning techniques to detect student's learning styles","authors":"Hoa-Huy Nguyen, Loc Nguyen Duc, Kien Do Trung, Long Dang Hoang, Thi Vu, T. V. Vu, V. A. Nguyen","doi":"10.1145/3572549.3572622","DOIUrl":"https://doi.org/10.1145/3572549.3572622","url":null,"abstract":"Learning styles play a vital role in determining an individual student's best learning methods and suitable types of learning materials. Based on a survey that collects information about learners' learning styles in offline and online environments, chosen from Felder-Silverman Learning Style Model (FSLM) and David Kolb Learning Style Model, we have developed a model to group students based on their characteristics. Specifically, the data collected from 546 learners in 2 universities in Vietnam are put into clustering using the K-Means algorithm, then labelled and classified by Support Vector Machine (SVM) and Extreme Gradient Boosting (XGBoost) algorithm, and finally evaluated based on precision, recall, and F1 score metric to find the number of suitable groups. The results show a new learning model with four different learning styles, each corresponding to a category in the FSLM and David Kolb model, with values on the accuracy, precision, recall, and f1 score equaling 96%. With the strength of combining the theory of all three different learning style models, along with a machine learning model with high accuracy on a rather large data set, the research results promise to make a positive contribution to the problem of personalized learning content, helping learners have the most effective learning experience.","PeriodicalId":256802,"journal":{"name":"Proceedings of the 14th International Conference on Education Technology and Computers","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114966894","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

A New Method to Evaluate the Engineering Practice Ability of Young University Teachers 评价高校青年教师工程实践能力的新方法

Proceedings of the 14th International Conference on Education Technology and Computers Pub Date : 2022-10-28 DOI: 10.1145/3572549.3572628

Kaina Zhao, Zhiping Wang

引用次数: 0

Application of OMO Teaching Mode in Music Education in Colleges OMO教学模式在高校音乐教育中的应用

Proceedings of the 14th International Conference on Education Technology and Computers Pub Date : 2022-10-28 DOI: 10.1145/3572549.3572560

Chenyu Wang, Xiao-bing Ma, Shichang Zhong

引用次数: 0

The Effectiveness of Teaching Approaches in Computational Thinking Education: A Meta-Analysis 计算思维教育教学方法的有效性:一项元分析

Proceedings of the 14th International Conference on Education Technology and Computers Pub Date : 2022-10-28 DOI: 10.1145/3572549.3572611

Yuxiang Chen, Yining Wang, Yanyan Li

{"title":"The Effectiveness of Teaching Approaches in Computational Thinking Education: A Meta-Analysis","authors":"Yuxiang Chen, Yining Wang, Yanyan Li","doi":"10.1145/3572549.3572611","DOIUrl":"https://doi.org/10.1145/3572549.3572611","url":null,"abstract":"This meta-analysis examined research on the effects of different teaching approaches on students’ computational thinking (CT) from 2010 to 2022. A total of 35 articles met inclusion criteria and were included in the final analysis with a total of 49 independent effect sizes. The meta-analysis results showed that the current K-12 teaching has a moderate positive impact on the development of students' computational thinking (g=0.548). Pair programming, unplugged activities, and project-based learning have the most significant effects, which are more helpful in cultivating students’ computational thinking. Moreover, we analyzed the impact of moderator variables on the relationship between K-12 teaching and computational thinking. Findings revealed that the effects of CT education were more substantial (a) for middle school students than for primary school students, (b) in interdisciplinary courses than in computer science courses, (c) with collaborative learning activities than with individual learning activities. Based on this, we suggest that paired programming, unplugged activities, and project-based learning, which are based on collaborative learning, should be used more for CT education. In addition, schools should develop interdisciplinary courses to promote computational thinking migration in different disciplines.","PeriodicalId":256802,"journal":{"name":"Proceedings of the 14th International Conference on Education Technology and Computers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125857934","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

Enhancing Chinese International Students’ Motivation and Engagement in a STEM Subject in UK Higher Education: A Case of Gamification in Programming 提高中国留学生在英国高等教育中学习STEM课程的积极性和参与度:程序设计中的游戏化案例

Proceedings of the 14th International Conference on Education Technology and Computers Pub Date : 2022-10-28 DOI: 10.1145/3572549.3572551

Chen Cao, Xin Zhao, F. Hopfgartner

引用次数: 1

Satisfaction with virtual simulation learning and academic performance in the context of COVID-19 in nursing students at a public university - Peru 秘鲁一所公立大学护理专业学生在COVID-19背景下对虚拟模拟学习和学业成绩的满意度

Proceedings of the 14th International Conference on Education Technology and Computers Pub Date : 2022-10-28 DOI: 10.1145/3572549.3572573

O. Curro-Urbano, Carmen Chauca, Ynés Phun-Pat, Maritza Arones

引用次数: 0

Microblogs-A means for simulating informal learning beyond classrooms 微博——一种模拟课堂之外非正式学习的方式

Proceedings of the 14th International Conference on Education Technology and Computers Pub Date : 2022-10-28 DOI: 10.1145/3572549.3572585

Chukwuka Victor Obionwu, David Broneske, Gunter Saake

引用次数: 0

Design and Development of a Text Programming Teaching System for Primary school Students 小学文本程序设计教学系统的设计与开发

Proceedings of the 14th International Conference on Education Technology and Computers Pub Date : 2022-10-28 DOI: 10.1145/3572549.3572589

Guozhu Ding, Jiaxin Liu, Xuan Liu, Tao Jiang, Guanjian Liang

引用次数: 0

Proceedings of the 14th International Conference on Education Technology and Computers Pub Date : 2022-10-28 DOI: 10.1145/3572549.3572645

Veronica Segarra-Faggioni, S. Ratté, F. De Jong

{"title":"Semantic similarity analysis between the student's reports with the authoritative sources","authors":"Veronica Segarra-Faggioni, S. Ratté, F. De Jong","doi":"10.1145/3572549.3572645","DOIUrl":"https://doi.org/10.1145/3572549.3572645","url":null,"abstract":"Knowledge Building as a pedagogy supports collaborative work between students to improve ideas. The result of knowledge-building discourse in student communities is the development of academic artifacts. Student reports are academic artifacts that can result from a knowledge-building process during their learning. However, the automatic analysis of student reports is quite challenging due to the documents’ length and written language. Given this context, our goal is to analyze the semantic similarity between student reports and curriculum literature using the information coverage measure based on the Skip-gram word2vec model. Word2vec is a well-known set of techniques that provides a way to create a representation of words to predict the nearby words between every word and its context to capture the internal semantic and syntactic information. In this work, through the experimental comparison between the vocabulary list, the best similarity value is 0.90 using word2vec. The results show that each student report was aligned with each document in the curriculum literature using the information coverage measure based on word2vec.","PeriodicalId":256802,"journal":{"name":"Proceedings of the 14th International Conference on Education Technology and Computers","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123212950","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

E-Learning Experience with Flipped Classroom Quizzes Using Kahoot, Moodle and Google Forms: A Comparative Study 使用Kahoot、Moodle和Google表单进行翻转课堂测验的电子学习体验:一项比较研究

Proceedings of the 14th International Conference on Education Technology and Computers Pub Date : 2022-10-28 DOI: 10.1145/3572549.3572563

I. Aldalur, Urtzi Markiegi, Xabier Valencia, Javier Cuenca, M. Illarramendi

{"title":"E-Learning Experience with Flipped Classroom Quizzes Using Kahoot, Moodle and Google Forms: A Comparative Study","authors":"I. Aldalur, Urtzi Markiegi, Xabier Valencia, Javier Cuenca, M. Illarramendi","doi":"10.1145/3572549.3572563","DOIUrl":"https://doi.org/10.1145/3572549.3572563","url":null,"abstract":"In recent years, the use of technology is gaining weight in higher education. Today’s students are digital natives and e-Learning is common for them. Furthermore, they find traditional teaching methods tedious. In order to improve their motivation, different strategies are used, for instance, Flipped Classroom instructional model or gamification. One of the fundamental steps of the Flipped Classroom approach is the application of quizzes to assess the knowledge acquired by the students in the theoretical activity that they develop at home. Tools such as Google forms, Moodle or Kahoot can be used for these quizzes. Based on our experience of introducing the Flipped Classroom approach in the computer science degree in 11 subjects, we show the advantages and disadvantages of each of analyzed tools. Class quizzes results show that the theoretical subjects obtained a higher success rate and also in the subjects in which Kahoot was used, the results were higher. In addition, students rated better the Flipped Classroom surveys in which Kahoot was used. Finally, the application of Flipped Classroom approach improved the students’ assessment of those subjects when compared to the previous course.","PeriodicalId":256802,"journal":{"name":"Proceedings of the 14th International Conference on Education Technology and Computers","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121382989","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