Proceedings of the 6th International Conference on Digital Technology in Education最新文献

{"title":"Research on the application of RBF neural network in the evaluation of college English teaching quality","authors":"Xin SHEN","doi":"10.1145/3568739.3568761","DOIUrl":"https://doi.org/10.1145/3568739.3568761","url":null,"abstract":"Because of the diversity of teaching and students and the supervisory factors of the educational affairs department, it is difficult to be objective and fair in teaching quality evaluation. In order to solve the problems existing in the traditional teaching quality evaluation in colleges and universities and improve the accuracy of college teaching quality evaluation, this paper applies the RBF (Radial Basis Function) neural network to the evaluation of college English teaching quality. This paper builds a RBF neural network model for college English teaching quality evaluation, and verifies the accuracy of the RBF neural network through experiment. The results show that the RBF neural network established in this paper can evaluate the college English teaching quality well.","PeriodicalId":200698,"journal":{"name":"Proceedings of the 6th International Conference on Digital Technology in Education","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116915613","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":"Transformer STACK Questions for Teaching Mathematics","authors":"Olga Vladimirovna Yanuschik, I. Ustinova, O. Imas, Evgeniia Alekcandrovna Beliauskene, S. Rozhkova","doi":"10.1145/3568739.3568809","DOIUrl":"https://doi.org/10.1145/3568739.3568809","url":null,"abstract":"Modern school and university education is impossible to imagine without the use of electronic educational resources. The development of e-learning has become especially relevant due to the spread of COVID-19 and the periodic introduction of distance learning. The higher school has been practicing a blended form of education for a long time. In universities, e-learning is associated with the introduction of their own e-course systems and the use of mass open online courses in the educational process. But a significant drawback of mass open online courses (MOOCs) lies precisely in their mass character, aimed at the average consumer of educational services. The division into categories \"for beginners\" and \"for advanced\" is the maximum differentiation that mass open online courses can offer. As for traditional e-courses, in recent years there has been a tendency to develop adaptive educational systems, STACK-type tasks on the MOODLE platform, allowing to personalize the learning process, but this requires significant time and labor costs. We want to show on several examples of STACK-type tasks how it is possible using one STACK question, modifying it to get several tasks that differ in content. This transformation of tasks allows you to fill the task pool faster, which is an important aspect when filling it (using it). The purpose of the study is methodological substantiation, development and implementation of transformer tasks in mathematics in the educational process, which provide variability in the presentation of educational content.","PeriodicalId":200698,"journal":{"name":"Proceedings of the 6th International Conference on Digital Technology in Education","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127592617","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":"Design of Automatic Russian Language Recognition System","authors":"Yang Wang","doi":"10.1145/3568739.3568762","DOIUrl":"https://doi.org/10.1145/3568739.3568762","url":null,"abstract":"Language recognition is also called language recognition. Its purpose is to enable the computer to automatically recognize the language type according to an input speech. Language identification is widely used in the fields of network security, authentication, multilingual information services and so on. Nowadays, the increasingly open international environment and the rapid development of the Internet have brought new challenges to language recognition. Based on the previous research results, this paper designs and implements a language recognition system based on Gaussian mixture model unified background model (GMM UBM), mainly from the feature extraction module, UBM model training module, language model training module and language recognition module.","PeriodicalId":200698,"journal":{"name":"Proceedings of the 6th International Conference on Digital Technology in Education","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125479801","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 new method of Figurative Rhetoric Recognition based on Automated Essay Scoring of the Oversea Chinese Students’ Instructional Composition Corpus","authors":"Chunhong Li, Yongquan Li","doi":"10.1145/3568739.3568759","DOIUrl":"https://doi.org/10.1145/3568739.3568759","url":null,"abstract":"With the rapid development of modern science and technology and the rapid increase of new scientific and technological knowledge and information, mankind has entered the so-called era of information explosion. In terms of human reading experience, information explosion leads to the change of reading mode, which has brought negative effects and potential crises to human society. The automated essay scoring has great educational and commercial values, and provides a cost-effective and consistent alternative to human marking. The figurative rhetoric is important to the ideological content and artistic quality of the essay. Based on large-scale language text data, various natural language processing technologies have made great progress in the fields of text classification, speech recognition and so on. This paper proposed the experimental methods such as CNN, RNN, Transformer, Fast Text and Bert base to recognize the figurative rhetoric based on the oversea Chinese students' composition corpus. We find that the Bert model has achieved an accuracy of 80.93% in the identification of figurative rhetoric sentences in oversea Chinese student compositions. The experimental methods in this paper are feasible, and can promote the improvement of the automated essay scoring technology.","PeriodicalId":200698,"journal":{"name":"Proceedings of the 6th International Conference on Digital Technology in Education","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115117623","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":"Construction of Digital Construction and Resource Sharing Platform of University Library Based on \"Internet +\"","authors":"Dayan Ma","doi":"10.1145/3568739.3568800","DOIUrl":"https://doi.org/10.1145/3568739.3568800","url":null,"abstract":"With the development of the Internet, all kinds of systems have basically realized digitalization. The digital construction of university libraries is relatively necessary, and the digital construction will increase the frequency of college students reading books in the library. This will also increase the frequency of reading. Based on the construction of digital construction and resource-sharing platform of \"Internet +\", this paper discusses the main advantages of \"Internet +\" technology in the construction of digital construction and resource-sharing platform from the perspective of digital construction formed by various technologies of \"Internet +\". In the end, it also makes a corresponding plan for the digital construction of efficient library and the technical characteristics of the construction of sharing platform under the \"Internet +\" technology, and its advantages and application effects.","PeriodicalId":200698,"journal":{"name":"Proceedings of the 6th International Conference on Digital Technology in Education","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121677648","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":"Problems and Doctrine: Learning Situation Analysis and Application Research of Virtual Teaching from the Perspective of Artificial","authors":"Haiyan Li","doi":"10.1145/3568739.3568785","DOIUrl":"https://doi.org/10.1145/3568739.3568785","url":null,"abstract":"Virtual teaching is an inevitable trend of informatization and intelligence of school education in the era of artificial intelligence. In response to the current high-incidence stage of the epidemic, the Ministry of Education has put forward the requirement of \"suspending classes without stopping school, and without extension of teaching\", which highlights the advantages of virtual teaching. Through in-depth practice and research, it is found that there is a \"distortion\" phenomenon in the teaching process and assessment results. Through the practice, combing and research of virtual teaching under the epidemic situation in recent years, comprehensively consider the interaction data between teachers and students, and students and students in the teaching process before, during and after class, and expound the remaining problems of virtual teaching. The analysis of learning situation before, during and after class, put forward effective teaching design to deal with \"distorted\" virtual teaching, and construct a new teaching process structure design idea, so as to construct the structure of educators, teaching resources, teaching environment, teaching data, and students. An efficient virtual teaching dynamic generation and development system composed of educators and other elements.","PeriodicalId":200698,"journal":{"name":"Proceedings of the 6th International Conference on Digital Technology in Education","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125051354","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":"International Prospects and Trends of Artificial Intelligence Education: A Content Analysis of Top-level AI Curriculum across Countries","authors":"Yujun Zhou, Zehui Zhan, Lu Liu, Jiayi Wan, Simai Liu, Xuanxuan Zou","doi":"10.1145/3568739.3568796","DOIUrl":"https://doi.org/10.1145/3568739.3568796","url":null,"abstract":"This study intends to investigate the present situation of AI curriculum offered for grades K-12. We screened 11 representative countries and areas from six continents and assessed the content of their top K-12 AI courses in terms of teaching content and teaching implementation in order to comprehend the current state of K-12 AI courses in diverse nations. Provide some ideas and suggestions for the development of AI courses for students in grades K-12. (1) Countries may choose AI applications, AI influences in various aspects, AI ethics, machine learning, data, classification, reasoning, Identify, and other content to establish independent AI teaching content standards; or choose programming as the core teaching content/starting point; or integrate programming, data, AI, and other content related to improving students' computational thinking into computer/science/technology courses. (2) Project-based learning is still the primary way of instruction, along with a range of other approaches. There are four categories of available instructional resources, and there is an abundance of them. Most countries emphasize the evaluation of students' abilities and the results achieved in the learning process.","PeriodicalId":200698,"journal":{"name":"Proceedings of the 6th International Conference on Digital Technology in Education","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131953838","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":"Mitigating Depression, Anxiety, and Stress among Undergraduate Students through Online Learning Satisfaction","authors":"Jazel Mae C. Cabongcal, Lealyn C. Sanita, Lenlyn C. Sanita, Erwin C. Mancao, Bernie S. Fabito","doi":"10.1145/3568739.3568782","DOIUrl":"https://doi.org/10.1145/3568739.3568782","url":null,"abstract":"While online learning became the face of education in Higher Education Institutions (HEIs) in the Philippines, not all schools were prepared to immediately transition to online learning. A recent study by Fawaz and Samaha (2021) shown that undergraduate students in Lebanon experienced depression and anxiety due to the workload experienced from moving to full online learning. With the difficulties faced by tertiary students, this study builds on the recent work of Ali and Ahmad (2011) that explores how student satisfaction in online learning courses can mitigate depression, anxiety, and stress. Students-Instructor Satisfaction, Instructor's Performance, Course Evaluation, Student Autonomy, Authentic Learning, and Personal Relevance were the constructs used in the study that have been previously investigated to aid student satisfaction in online learning. To determine Depression, Anxiety, and Stress (DAS), the DASS21 scale was used. Through convenience sampling, ninety (90) college students from various universities in the Philippines answered the survey through Google Forms. Descriptive statistics have revealed that the students suffered from moderate depression, anxiety and mild stress. For their online learning satisfaction, descriptive statistics show agreement in terms of satisfaction. This implies that while students experience some online learning satisfaction, students suffer from DAS. Looking at how satisfaction can affect DAS, regression shows that online learning satisfaction can help reduce stress. However, for anxiety, it failed to reach statistical significance. While the study does not necessarily imply that online learning satisfaction is the only factor for DAS, this simple revealed a possible relationship between online learning satisfaction and DAS. Possible implication includes managerial decision-making that would help students who suffer or have difficulty with online learning. Only by addressing online learning issues can help improve students' online learning satisfaction. CCS CONCEPTS • Human-centered computing • Collaborative and social computing • Empirical studies in collaborative and social computing","PeriodicalId":200698,"journal":{"name":"Proceedings of the 6th International Conference on Digital Technology in Education","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129726816","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":"On the Construction of Knowledge-Communication-Oriented Computer Spoken Corpus for Endangered Languages","authors":"Zihui Xiao, Junjun Fan, Wei-Nan Gao","doi":"10.1145/3568739.3568801","DOIUrl":"https://doi.org/10.1145/3568739.3568801","url":null,"abstract":"This Corpus/corpora is a computer database that stores language materials. Corpus in the world is dominated by lingua franca corpus. However, these corpora have limited samples and are difficult to meet the needs of machine artificial intelligence. The paper proposes to build a Knowledge-Communication-Oriented spoken corpus for Endangered Languages to enrich the content of corpus research. A Knowledge-Communication-Oriented Spoken Corpus was divided into three sub-corporas, the words sub-corpu, the sentences sub-corpus, and the narrative discourses sub-corpus. This paper mainly introduces the methods of constructing the spoken corpus of endangered languages from the aspects of corpus collection, corpus arrangement and corpus annotation.","PeriodicalId":200698,"journal":{"name":"Proceedings of the 6th International Conference on Digital Technology in Education","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128964132","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":"Learning Analytics for Improved Course Delivery: Applications and Techniques","authors":"Tich Phuoc Tran, Tony Jan, S. N. Kew","doi":"10.1145/3568739.3568758","DOIUrl":"https://doi.org/10.1145/3568739.3568758","url":null,"abstract":"Learning Analytics (LA) is an emerging research field that harnesses the power of data modelling, data mining and visualization to enhance the understanding of teaching and learning as well as supporting the personalization of education. Typical LA applications include dashboards displaying course progress, intelligence reports tracking the use of educational resources, and systems that predict students' academic performance and identify struggling students. In this article, we review the major elements of LA applications, including typical workflows, data types, and approaches to analytics. In addition to the basic reporting tools available in Learning Management Systems (LMSs), the article provides insights into how Machine Learning (ML) can detect the students at risk of failing. Finally, six educational applications in which data analytics helps improve course delivery are discussed.","PeriodicalId":200698,"journal":{"name":"Proceedings of the 6th International Conference on Digital Technology in Education","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120924172","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}