{"title":"Exploration of recursive algorithm teaching based on BOPPPS model","authors":"Jinlin Li, Xuebo Zhang, Lin Wang, Chunyun Sun","doi":"10.1109/ICAIE53562.2021.00160","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00160","url":null,"abstract":"Recursion is a typical algorithm design method, which plays an important role in training students to use computational thinking to analyze and solve problems. The BOPPPS model is a popular student-centered teaching mode at home and abroad in recent years, which emphasizes the participation of students and timely teaching feedback. In order to explore an effective teaching mode, this paper designs a recursive algorithm teaching design method combined with boppps model, which can effectively improve the participation of students and improve the quality of teaching.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125303127","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 Countermeasures of Financial Management Informatization Construction in Private Colleges","authors":"Zhang Yinghui","doi":"10.1109/ICAIE53562.2021.00133","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00133","url":null,"abstract":"Financial management is the key to ensure the effective operation of all aspects of work in private colleges. Financial management’s information construction is the reform of financial management mechanism in private colleges and the necessary condition to improve financial management efficiency. With the acceleration of information construction in China, the degree of financial management in private colleges is improving, and the financial management work has been further optimized. However, there are still many problems in financial management information in private colleges. Therefore, this paper analyzes the problems existing in developing financial management informatization in private colleges and gives the corresponding solutions to provide a helpful reference for private colleges’ financial management information.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125546913","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":"Research on data acquisition of novel list based on Python","authors":"Nannan Zhang","doi":"10.1109/ICAIE53562.2021.00148","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00148","url":null,"abstract":"Nowadays, online novels are all the rage. It is very important for online literature to understand the reading interests of modern readers. This will not only help online literature to position itself more accurately in its future development, but will also strike deep into the hearts of readers. It also helps to understand how readers have changed over the years and what they want in their novels. This research mainly uses Python’s request library, Beautiful Soup Library, numpy library, Pandas Library, Matplotlib library and Jieba library to crawl the weekly, monthly and total list of recommended tickets.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117313277","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":"Comparative Research on Electricity Consumption Forecast Based on Deep Learning","authors":"Qian Gao, Yunyun Liu, Junyi Yang, Yu Hong","doi":"10.1109/ICAIE53562.2021.00052","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00052","url":null,"abstract":"In order to save unnecessary energy losses, power companies need to accurately predict electricity consumption. Various classification methods are used for electricity consumption forecasting: traditional time series models, deep neural network models based on Artificial Intelligence, and hybrid models. Most scholars use a single view to forecast electricity consumption. This article predicts electricity consumption from three views: traditional models, deep neural network models, and hybrid models. First, the electricity consumption time series is preprocessed. Then, from three views, models that have achieved good performance in some time series are selected, and then the forecast analysis of the model is given. Finally, the performance of different models in electricity consumption forecasting is evaluated and compared. The results show that the expected performance of the hybrid model is not as good as the traditional model and the deep neural network model in electricity consumption forecasting.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129022666","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":"Topology Optimization Design and Modal Analysis Based on Header Frame of Combine Harvester","authors":"Xiaojuan Lin, J. Cai, L. Tong, Z. Long","doi":"10.1109/ICAIE53562.2021.00050","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00050","url":null,"abstract":"Combined with the working environment, a topology optimization design plan was applied to the header frame of a combine harvester. The dynamics of the optimized header frame were evaluated through modal analysis, and the final optimization plan was determined. The results showed that with little effect on the equivalent maximum stress and total deformation, the optimized header frame had reduced mass of 20.24%, achieved the goal of lightening.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124655315","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":"The application of AI in precise ideological and political affairs in colleges","authors":"Wu Yamin, Sui Yanfang","doi":"10.1109/ICAIE53562.2021.00043","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00043","url":null,"abstract":"With the advent of the era of big data and artificial intelligence technology, the emerging technologies provide innovative means for ideological and political education. The trend of ideological and political education in colleges and universities in the new era is to be precise. In this article, we have studied how to use big data and artificial intelligence technology to enable educators to break the limitations of time, space and huge workload in traditional methods, and help educators achieve precise positioning, precise portraits, precise customization, precise education and accurate feedback to complete an ideological and political education system. Among them, this article uses Fasttext word embedding model and fully connected neural network to implement a student political and ideological profiler, using some student data samples from the University of Electronic Science and Technology of China for training and classification, and the effect is good. This proves that it is feasible to use artificial intelligence technology to help colleges and universities achieve precise ideological and political education.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129134048","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":"Exploration of the Production-oriented Approach in English Literature Teaching in Application-oriented Undergraduate Colleges and Universities Based on Network Teaching Platform","authors":"W. Haiyan","doi":"10.1109/ICAIE53562.2021.00085","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00085","url":null,"abstract":"Application-oriented undergraduate colleges and universities focus on cultivating application-oriented and technical-skilled talents. They place great emphasis on cultivating students’ practical skills and enhancing students’ employment competitiveness, thus serving regional economy. In such colleges and universities, students also value the learning of skills and can well adapt to use modern network technology. Nowadays, with the activities such as submitting homework, receiving feedback, having discussion and self-learning, the network teaching platform is fully functional and easy to use. Under the opportunity of the development of new liberal arts, how should teachers effectively carry out the teaching of English literature with the help of network teaching platform, both highlighting its role in humanistic education and serving the talent training objectives and school-running characteristics? Based on the network teaching platform, this paper introduces the Production-oriented Approach to the teaching of English literature and explores the theoretical basis for its application from the level of teaching concepts and teaching hypotheses, and a series of teaching plans are made to demonstrate its feasibility.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129200211","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 Study on Blended Teaching based on Rain Classroom : Taking the Teaching Practice of \"Japanese for Non-Japanese Major Students\" as an Example","authors":"Chaojing Cai, Minsong Li","doi":"10.1109/ICAIE53562.2021.00099","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00099","url":null,"abstract":"\"Blended Teaching\" is the main trend of higher education nowadays. With the analysis on the blended teaching, this paper presented a primary research on it based on Rain Classroom in the teaching practice of \"Japanese for non-Japanese major students\". Rain Classroom is a teaching tool developed by Tsinghua University. The computer and mobile terminals of Rain Classroom directly serve teaching. Computer terminal is mainly used for data collection, storage, analysis and decision-making in teaching, while pre class preview courseware and MOOC video as well as exercises are sent to the mobile terminal, from which students can learn the relevant content. It helps students break through the limitation of time and space in their study and enhance their interest in learning. With the help of Rain Classroom, multiple modes of online teaching, classroom real-time answer, barrage interaction, extracurricular online discussion, as well as learning evaluation grade can be established to provide a feasible solution for blended teaching in the teaching practice of Japanese for non-Japanese major students.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131740089","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":"Applications, Risks and Countermeasures of Artificial Intelligence in Education","authors":"Zhang Qian","doi":"10.1109/ICAIE53562.2021.00026","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00026","url":null,"abstract":"The application of artificial intelligence in education has greatly affected school management, teachers' teaching and students' learning, and has an important influence on the mechanism and mechanism of learning process. The concept of artificial intelligence is to simulate human intelligence by machine, thus completing specific roles and tasks, and has the characteristics of convenience, intelligence and interaction. It is mainly applied to computer vision, natural language processing, biometric recognition, speech recognition, human-computer interaction and other technologies in the field of education, which brings space for the development of architecture, medicine and chemistry. However, AI also brings about the risk of decisionmaking mistakes, career substitution, privacy leakage, information cocoon house and data bias. In order to avoid these risks effectively, this paper puts forward solutions from five perspectives: the state, product developers, educational managers, teachers and students, so as to correctly understand the relationship between artificial intelligence and education, explore the application mode of artificial intelligence in the field of education, and ensure the deep integration of artificial intelligence and education.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133566583","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":"Research on the Application of Financial Intelligence Based on Artificial Intelligence Technology","authors":"Jinhua Ma","doi":"10.1109/ICAIE53562.2021.00022","DOIUrl":"https://doi.org/10.1109/ICAIE53562.2021.00022","url":null,"abstract":"This article focuses on the application of financial intelligence based on artificial intelligence technology. The article first analyzes the artificial intelligence technology and its applicability in the financial field, and then analyzes the idea of financial intelligence application construction. This article takes a financial robot actually put into use by a company as an example, and introduces the specific applications and effects of financial intelligence applications in the financial field from four aspects: basic operation, intelligent processing, data statistics, and risk monitoring. This article provides empirical data from the application of artificial intelligence in finance, and provide reference for other enterprises to use artificial intelligence technology.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115202560","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}