Le Zhang, Juanyin Liu, Xia Feng, Yan Li, Le Mei Zhu
INTRODUCTION: Robotics is currently the most cutting-edge international science and technology, as well as a high-value-added core technology. Robots are widely used in a variety of industrial fields, as a new direction in the development of robotics, and play an important role in solving the current employment problems in China. OBJECTIVES: This paper combines its research results, introduces the machine learning method in the robot control system, and establishes the employment index system in the robot working environment by combining the employment factors with the environmental relationship analysis. METHODS: This paper combines its research results, introduces the machine learning method in the robot control system, and establishes the employment index system in the robot working environment by combining the employment factors with the environmental relationship analysis. RESULTS: The study found that the willingness of university students to choose a job gradually increases as their education level rises; the lower the level of education, the weaker their willingness to look for a job; the higher the level of education the more sensitive they are to the quality of education and educational specialities, the higher their willingness to work. CONCLUSION: Based on the robot control system design the factors that have an impact on the environment in real economic activities (e.g., age, gender, occupation, education level, etc.) play a role in promoting the future application and development of robotics in China.
{"title":"Factors influencing the employment intention of private college graduates based on robot control system design","authors":"Le Zhang, Juanyin Liu, Xia Feng, Yan Li, Le Mei Zhu","doi":"10.4108/eetsis.3747","DOIUrl":"https://doi.org/10.4108/eetsis.3747","url":null,"abstract":"INTRODUCTION: Robotics is currently the most cutting-edge international science and technology, as well as a high-value-added core technology. Robots are widely used in a variety of industrial fields, as a new direction in the development of robotics, and play an important role in solving the current employment problems in China. \u0000OBJECTIVES: This paper combines its research results, introduces the machine learning method in the robot control system, and establishes the employment index system in the robot working environment by combining the employment factors with the environmental relationship analysis. \u0000METHODS: This paper combines its research results, introduces the machine learning method in the robot control system, and establishes the employment index system in the robot working environment by combining the employment factors with the environmental relationship analysis. \u0000RESULTS: The study found that the willingness of university students to choose a job gradually increases as their education level rises; the lower the level of education, the weaker their willingness to look for a job; the higher the level of education the more sensitive they are to the quality of education and educational specialities, the higher their willingness to work. \u0000CONCLUSION: Based on the robot control system design the factors that have an impact on the environment in real economic activities (e.g., age, gender, occupation, education level, etc.) play a role in promoting the future application and development of robotics in China.","PeriodicalId":43034,"journal":{"name":"EAI Endorsed Transactions on Scalable Information Systems","volume":"88 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74320140","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}
INTRODUCTION: Since 2010, flipped classrooms and Canvas-based online learning spaces have been widely recognized by colleges and universities, changing the traditional Chinese learning space. OBJECTIVES: To ensure that students learn effectively, learning management systems must be applied. The issue of integrating classroom space and electronic learning management systems gives students the freedom and flexibility to manage their time after school. METHODS: In this study, Japanese language skills were learned through questionnaires, interviews, and classroom observations, and two students with similar disciplines and conditions were selected from the experimental and control categories for a learning reform experiment during the semester's learning cycle. RESULTS: By comparing the characteristics and effectiveness of the experimental and tutorial courses, an appropriate Japanese language course was designed and developed, and some constructive suggestions were made for the application of the Canvas network to Japanese language courses. CONCLUSION: The use of flipped teaching methods and structured e-learning methods in the education of basic Japanese language majors can improve students' academic performance and sense of cooperation.
{"title":"Japanese Flipped Classroom Knowledge Acquisition Based on Canvas Web-Based Learning Management System","authors":"Wanruo Shi, Yu Zhang","doi":"10.4108/eetsis.3750","DOIUrl":"https://doi.org/10.4108/eetsis.3750","url":null,"abstract":"INTRODUCTION: Since 2010, flipped classrooms and Canvas-based online learning spaces have been widely recognized by colleges and universities, changing the traditional Chinese learning space. \u0000OBJECTIVES: To ensure that students learn effectively, learning management systems must be applied. The issue of integrating classroom space and electronic learning management systems gives students the freedom and flexibility to manage their time after school. \u0000METHODS: In this study, Japanese language skills were learned through questionnaires, interviews, and classroom observations, and two students with similar disciplines and conditions were selected from the experimental and control categories for a learning reform experiment during the semester's learning cycle. \u0000RESULTS: By comparing the characteristics and effectiveness of the experimental and tutorial courses, an appropriate Japanese language course was designed and developed, and some constructive suggestions were made for the application of the Canvas network to Japanese language courses. \u0000CONCLUSION: The use of flipped teaching methods and structured e-learning methods in the education of basic Japanese language majors can improve students' academic performance and sense of cooperation.","PeriodicalId":43034,"journal":{"name":"EAI Endorsed Transactions on Scalable Information Systems","volume":"4 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84629736","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}
Wellington Remigio Villota Oyarvide, Shirley Betty Reyes Salvatierra, Guillermo Del Campo Saltos
INTRODUCTION: Even while studying programming languages is essential for science and technology education, some students, especially novices, may find it challenging. One reason might be that these pupils are unable to comprehend programming basics, notably the usage of selective and repeated structures (loops), which are too complex and abstract for them to comprehend. OBJECTIVES: Programming structured applications requires understanding the relationship between variable-operators and declarations, so a more intuitive and practical visualization technique is needed. In view of this, this article presents an augmented reality (AR) learning system using a DF-RA mobile application that offers visual representation and interactivity to help college students in entry-level computer science-related majors learn to program structured applications using dynamic and interactive flowcharts. METHODS: In order to examine the influences of said Augmented Reality-enhanced system on student learning, an experiment will be carried out within the group with 34 university students. All students used both an augmented reality-enhanced version and a conventional paper version (classic methodology with paper flowcharts). RESULTS: The expected results is that the augmented reality version through the DF-RA mobile application made students have a better learning efficiency than the traditional paper system. In addition, the system enhanced with Augmented Reality also made students have improved perceptions in terms of system usability, flow experience, and usage perception. CONCLUSION: Experimental findings were analyzed to demonstrate that the augmented reality learning system increases students' motivation to study structured programming fundamentals and their practical competence.
{"title":"Effectiveness and perception of augmented reality in the teaching of structured programming fundamentals in university students","authors":"Wellington Remigio Villota Oyarvide, Shirley Betty Reyes Salvatierra, Guillermo Del Campo Saltos","doi":"10.4108/eetsis.3728","DOIUrl":"https://doi.org/10.4108/eetsis.3728","url":null,"abstract":"INTRODUCTION: Even while studying programming languages is essential for science and technology education, some students, especially novices, may find it challenging. One reason might be that these pupils are unable to comprehend programming basics, notably the usage of selective and repeated structures (loops), which are too complex and abstract for them to comprehend. \u0000OBJECTIVES: Programming structured applications requires understanding the relationship between variable-operators and declarations, so a more intuitive and practical visualization technique is needed. In view of this, this article presents an augmented reality (AR) learning system using a DF-RA mobile application that offers visual representation and interactivity to help college students in entry-level computer science-related majors learn to program structured applications using dynamic and interactive flowcharts. \u0000METHODS: In order to examine the influences of said Augmented Reality-enhanced system on student learning, an experiment will be carried out within the group with 34 university students. All students used both an augmented reality-enhanced version and a conventional paper version (classic methodology with paper flowcharts). \u0000RESULTS: The expected results is that the augmented reality version through the DF-RA mobile application made students have a better learning efficiency than the traditional paper system. In addition, the system enhanced with Augmented Reality also made students have improved perceptions in terms of system usability, flow experience, and usage perception. \u0000CONCLUSION: Experimental findings were analyzed to demonstrate that the augmented reality learning system increases students' motivation to study structured programming fundamentals and their practical competence. \u0000 ","PeriodicalId":43034,"journal":{"name":"EAI Endorsed Transactions on Scalable Information Systems","volume":"646 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77536004","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}
INTRODUCTION: At present, the development level of industrial robots is getting higher and higher, but the research on the involvement of high-level industrial robots as well as trajectory planning algorithms in China is limited. It is increasingly important to integrate the theory of kinematics in the development of industrial robots. Some industrial robots have welding, assembly and other characteristics, and play an immeasurable role in national defence, manufacturing and other fields. OBJECTIVES: With the development of China's industry, the manufacturing industry is changing from traditional manufacturing to intelligent manufacturing. Industrial robots have become an important tool for "intelligent manufacturing" and an important strategic emerging industry to improve the adaptability and competitiveness of the industrial market. METHODS: This paper provides an in-depth study of the mechanical design methodology and joint simulation analysis of industrial robots based on trajectory planning algorithms and kinematics. RESULTS: Research on intelligent observation, virtual reality flight trajectory and autonomous real-time flight trajectory design based on flight trajectory machines, which have made important contributions to the improvement of flight trajectory design. The wide application of industrial robots provides good development opportunities and broad market demand for industrial robot design. CONCLUSION: Since the reform and opening up, China's manufacturing industry has made significant progress in machinery, standardization, automation, informatization and other aspects of industrial production, but the development of China's manufacturing industry faces the problem of labour shortage. An effective way to solve this problem is to innovate, update and modernize the manufacturing industry.
{"title":"Mechanical Design Method and Joint Simulation Analysis of Industrial Robots Based on Trajectory Planning Algorithm and Kinematics","authors":"Fang Feng, Ning Wang, Qing Du","doi":"10.4108/eetsis.3748","DOIUrl":"https://doi.org/10.4108/eetsis.3748","url":null,"abstract":"INTRODUCTION: At present, the development level of industrial robots is getting higher and higher, but the research on the involvement of high-level industrial robots as well as trajectory planning algorithms in China is limited. It is increasingly important to integrate the theory of kinematics in the development of industrial robots. Some industrial robots have welding, assembly and other characteristics, and play an immeasurable role in national defence, manufacturing and other fields. \u0000OBJECTIVES: With the development of China's industry, the manufacturing industry is changing from traditional manufacturing to intelligent manufacturing. Industrial robots have become an important tool for \"intelligent manufacturing\" and an important strategic emerging industry to improve the adaptability and competitiveness of the industrial market. \u0000METHODS: This paper provides an in-depth study of the mechanical design methodology and joint simulation analysis of industrial robots based on trajectory planning algorithms and kinematics. \u0000RESULTS: Research on intelligent observation, virtual reality flight trajectory and autonomous real-time flight trajectory design based on flight trajectory machines, which have made important contributions to the improvement of flight trajectory design. The wide application of industrial robots provides good development opportunities and broad market demand for industrial robot design. \u0000CONCLUSION: Since the reform and opening up, China's manufacturing industry has made significant progress in machinery, standardization, automation, informatization and other aspects of industrial production, but the development of China's manufacturing industry faces the problem of labour shortage. An effective way to solve this problem is to innovate, update and modernize the manufacturing industry.","PeriodicalId":43034,"journal":{"name":"EAI Endorsed Transactions on Scalable Information Systems","volume":"17 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82774033","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}
Roberto Macha-Huamán, Oscar Marcel Zavala-Zavala, Fabiola Cruz Navarro Soto, Julio Samuel Zárate Suárez, Doris Rosario Yaya Castañeda, R. Lucar, Leonardo Castilla Jibaja, Percy Junior Castro Mejía, Celfa Mónica Samaniego Montoya, Roque Juan Espinoza Casco, Rafael Romero-Carazas
Objective: To describe the association of the four main areas of the entrepreneurs' business model with the Business Model Canvas from a systems approach.Methods: Quantitative approach, non-experimental design with descriptive and correlational scope; the sample consisted of 181 entrepreneurs; the instrument used was the questionnaire.Results: The chi-square test showed that there are dependency relationships between the four business areas and the Business Model Canvas (BMC); in addition, there is a positive and significant association between (1) customer interface and the BMC (0.609); (2) product and BMC (0.540); (3) infrastructure management and BMC (0.671) and (4) financial aspects and BMC (0.658). Therefore, the study showed that the four main areas of the entrepreneurs' business model are significantly associated with the nine modules of the Business Model Canvas.Conclusion: Despite the positive and significant association of the areas with the BMC, micro and small business entrepreneurs should seek greater positioning in the market, strengthen their value proposition to be competitive in the market, greater resource planning and key partners, and finally, train and be part of financial inclusion and education.
{"title":"Business Model Canvas in the entrepreneurs' business model: a system approach","authors":"Roberto Macha-Huamán, Oscar Marcel Zavala-Zavala, Fabiola Cruz Navarro Soto, Julio Samuel Zárate Suárez, Doris Rosario Yaya Castañeda, R. Lucar, Leonardo Castilla Jibaja, Percy Junior Castro Mejía, Celfa Mónica Samaniego Montoya, Roque Juan Espinoza Casco, Rafael Romero-Carazas","doi":"10.4108/eetsis.3594","DOIUrl":"https://doi.org/10.4108/eetsis.3594","url":null,"abstract":"Objective: To describe the association of the four main areas of the entrepreneurs' business model with the Business Model Canvas from a systems approach.Methods: Quantitative approach, non-experimental design with descriptive and correlational scope; the sample consisted of 181 entrepreneurs; the instrument used was the questionnaire.Results: The chi-square test showed that there are dependency relationships between the four business areas and the Business Model Canvas (BMC); in addition, there is a positive and significant association between (1) customer interface and the BMC (0.609); (2) product and BMC (0.540); (3) infrastructure management and BMC (0.671) and (4) financial aspects and BMC (0.658). Therefore, the study showed that the four main areas of the entrepreneurs' business model are significantly associated with the nine modules of the Business Model Canvas.Conclusion: Despite the positive and significant association of the areas with the BMC, micro and small business entrepreneurs should seek greater positioning in the market, strengthen their value proposition to be competitive in the market, greater resource planning and key partners, and finally, train and be part of financial inclusion and education.","PeriodicalId":43034,"journal":{"name":"EAI Endorsed Transactions on Scalable Information Systems","volume":"63 1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90140411","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}
Roque Juan Espinoza-Casco, Rafael Romero-Carazas, Tania Quiroz Quesada, L. Garro-Aburto, Freddy Antonio Ochoa Tataje, Segundo Victor Sánchez Ramírez, Magaly Chirihuana Torres, Consuelo del Pilar Clemente Castillo
Ubiquitous learning refers to the advancement of online learning, adapted to the development of communication and informatics. The study aimed to carry out a bibliometric approach to ubiquitous learning worldwide indexed in Scopus from 2003 to 2023. Methodologically, it was a quantitative, bibliometric study. Scientific output indicators were generated from 2668 selected Scopus papers using English keywords ("ubiquitous" AND "learning"). From 2007 to 2023, the number of published documents increased (90.9%), indicating a growing interest in the subject of study. The United States has the highest scientific production (21%), and the CNRS Centre National de la Recherche Scientifique has the most publications (n=39). The journal IEEE Access received 2514 citations, with the author Cook, D.J. (n=532) being the most cited. It is concluded that the orientation on ubiquitous learning is dynamic and increasingly linked to the development of information and communication technologies (ICT), as this learning style uses technology to give students more independence over their learning process.
泛在学习是指在线学习的进步，适应了通信和信息学的发展。该研究旨在对2003年至2023年在Scopus中索引的全球泛在学习进行文献计量方法研究。在方法上，这是一项定量的文献计量学研究。科学产出指标从2668篇Scopus论文中选取，使用英文关键词(“ubiquitous”和“learning”)生成。从2007年到2023年，发表的文献数量增加了90.9%，表明人们对这一研究主题的兴趣日益浓厚。美国的科研产出最高(21%)，法国国家科学研究中心(CNRS Centre National de la Recherche Scientifique)发表的论文最多(n=39)。IEEE Access期刊被引用2514次，其中作者Cook, D.J. (n=532)被引用最多。结论是，泛在学习的取向是动态的，并且越来越多地与信息通信技术(ICT)的发展联系在一起，因为这种学习方式利用技术赋予学生在学习过程中更多的独立性。
{"title":"Global research on ubiquitous learning: A network and output approach","authors":"Roque Juan Espinoza-Casco, Rafael Romero-Carazas, Tania Quiroz Quesada, L. Garro-Aburto, Freddy Antonio Ochoa Tataje, Segundo Victor Sánchez Ramírez, Magaly Chirihuana Torres, Consuelo del Pilar Clemente Castillo","doi":"10.4108/eetsis.3595","DOIUrl":"https://doi.org/10.4108/eetsis.3595","url":null,"abstract":"Ubiquitous learning refers to the advancement of online learning, adapted to the development of communication and informatics. The study aimed to carry out a bibliometric approach to ubiquitous learning worldwide indexed in Scopus from 2003 to 2023. Methodologically, it was a quantitative, bibliometric study. Scientific output indicators were generated from 2668 selected Scopus papers using English keywords (\"ubiquitous\" AND \"learning\"). From 2007 to 2023, the number of published documents increased (90.9%), indicating a growing interest in the subject of study. The United States has the highest scientific production (21%), and the CNRS Centre National de la Recherche Scientifique has the most publications (n=39). The journal IEEE Access received 2514 citations, with the author Cook, D.J. (n=532) being the most cited. It is concluded that the orientation on ubiquitous learning is dynamic and increasingly linked to the development of information and communication technologies (ICT), as this learning style uses technology to give students more independence over their learning process.","PeriodicalId":43034,"journal":{"name":"EAI Endorsed Transactions on Scalable Information Systems","volume":"3 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85130747","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}
Daniel Andrade Girón, Juana Sandivar Rosas, W. Marín-Rodriguez, E. Susanibar-Ramirez, Eliseo Toro-Dextre, J. Ausejo-Sánchez, Henry Villarreal-Torres, Julio Angeles-Morales
Student dropout is one of the most complex challenges facing the education system worldwide. In order to evaluate the success of Machine Learning and Deep Learning algorithms in predicting student dropout, a systematic review was conducted. The search was carried out in several electronic bibliographic databases, including Scopus, IEEE, and Web of Science, covering up to June 2023, having 246 articles as search reports. Exclusion criteria, such as review articles, editorials, letters, and comments, were established. The final review included 23 studies in which performance metrics such as accuracy/precision, sensitivity/recall, specificity, and area under the curve (AUC) were evaluated. In addition, aspects related to study modality, training, testing strategy, cross-validation, and confounding matrix were considered. The review results revealed that the most used Machine Learning algorithm was Random Forest, present in 21.73% of the studies; this algorithm obtained an accuracy of 99% in the prediction of student dropout, higher than all the algorithms used in the total number of studies reviewed.
学生辍学是全球教育系统面临的最复杂的挑战之一。为了评估机器学习和深度学习算法在预测学生辍学方面的成功，进行了系统回顾。在Scopus、IEEE、Web of Science等多个电子书目数据库中进行检索，检索时间截止到2023年6月，检索报告246篇。建立了排除标准，如综述文章、社论、信件和评论。最终的综述包括23项研究，其中评估了准确性/精密度、灵敏度/召回率、特异性和曲线下面积(AUC)等性能指标。此外，还考虑了与研究方式、训练、测试策略、交叉验证和混杂矩阵相关的方面。综述结果显示，使用最多的机器学习算法是随机森林，占21.73%的研究;该算法在预测学生辍学方面的准确率达到99%，高于所审查研究总数中使用的所有算法。
{"title":"Predicting Student Dropout based on Machine Learning and Deep Learning: A Systematic Review","authors":"Daniel Andrade Girón, Juana Sandivar Rosas, W. Marín-Rodriguez, E. Susanibar-Ramirez, Eliseo Toro-Dextre, J. Ausejo-Sánchez, Henry Villarreal-Torres, Julio Angeles-Morales","doi":"10.4108/eetsis.3586","DOIUrl":"https://doi.org/10.4108/eetsis.3586","url":null,"abstract":"Student dropout is one of the most complex challenges facing the education system worldwide. In order to evaluate the success of Machine Learning and Deep Learning algorithms in predicting student dropout, a systematic review was conducted. The search was carried out in several electronic bibliographic databases, including Scopus, IEEE, and Web of Science, covering up to June 2023, having 246 articles as search reports. Exclusion criteria, such as review articles, editorials, letters, and comments, were established. The final review included 23 studies in which performance metrics such as accuracy/precision, sensitivity/recall, specificity, and area under the curve (AUC) were evaluated. In addition, aspects related to study modality, training, testing strategy, cross-validation, and confounding matrix were considered. The review results revealed that the most used Machine Learning algorithm was Random Forest, present in 21.73% of the studies; this algorithm obtained an accuracy of 99% in the prediction of student dropout, higher than all the algorithms used in the total number of studies reviewed.","PeriodicalId":43034,"journal":{"name":"EAI Endorsed Transactions on Scalable Information Systems","volume":"11 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87378814","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}
Henry Villarreal-Torres, Julio Angeles-Morales, W. Marín-Rodriguez, Daniel Andrade Girón, Edgardo Carreño Cisneros, Jenny Cano-Mejía, Carmen Mejía-Murillo, Mariby C. Boscán-Carroz, Gumercindo Flores-Reyes, Oscar Cruz-Cruz
Artificial intelligence today has become a valuable tool for decision-making, where universities have to adapt and optimize their processes, improving the quality of their services. In this context, the economic income from collections is vital for sustainability. There are several problems that can contribute to student delinquency, such as economic, financial, academic, family, and personal. For this reason, the study aimed to develop a classification model to predict the payment behavior of enrolled students. The methodology is a proactive, technological study of incremental innovation with a synchronous temporal scope. The study population consisted of 8,495 undergraduate students enrolled in the 2022 - II academic semester, containing information on academic performance, financial situation, and personal factors. The result is a classification model using the H2O.ai platform, discretization algorithms, data balancing, and the R language. Data science algorithms obtained the base from the institution's computer system. The data sets for training and testing correspond to 70% and 30%, obtaining the GBM Grid model whose performance metrics are AUC of 0.905, AUCPR of 0.926, and logLoss equivalent to 0.311; that is, the model efficiently complies with the classification of student debtors to provide them with early intervention service and help them complete their studies.
{"title":"Development of a Classification Model for Predicting Student Payment Behavior Using Artificial Intelligence and Data Science Techniques","authors":"Henry Villarreal-Torres, Julio Angeles-Morales, W. Marín-Rodriguez, Daniel Andrade Girón, Edgardo Carreño Cisneros, Jenny Cano-Mejía, Carmen Mejía-Murillo, Mariby C. Boscán-Carroz, Gumercindo Flores-Reyes, Oscar Cruz-Cruz","doi":"10.4108/eetsis.3489","DOIUrl":"https://doi.org/10.4108/eetsis.3489","url":null,"abstract":"Artificial intelligence today has become a valuable tool for decision-making, where universities have to adapt and optimize their processes, improving the quality of their services. In this context, the economic income from collections is vital for sustainability. There are several problems that can contribute to student delinquency, such as economic, financial, academic, family, and personal. For this reason, the study aimed to develop a classification model to predict the payment behavior of enrolled students. The methodology is a proactive, technological study of incremental innovation with a synchronous temporal scope. The study population consisted of 8,495 undergraduate students enrolled in the 2022 - II academic semester, containing information on academic performance, financial situation, and personal factors. The result is a classification model using the H2O.ai platform, discretization algorithms, data balancing, and the R language. Data science algorithms obtained the base from the institution's computer system. The data sets for training and testing correspond to 70% and 30%, obtaining the GBM Grid model whose performance metrics are AUC of 0.905, AUCPR of 0.926, and logLoss equivalent to 0.311; that is, the model efficiently complies with the classification of student debtors to provide them with early intervention service and help them complete their studies.","PeriodicalId":43034,"journal":{"name":"EAI Endorsed Transactions on Scalable Information Systems","volume":"110 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81441175","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}
Henry Villarreal-Torres, Julio Angeles-Morales, W. Marín-Rodriguez, Daniel Andrade Girón, Jenny Cano-Mejía, Carmen Mejía-Murillo, Gumercindo Flores-Reyes, Manuel Palomino-Márquez
Information and communication technologies have been fulfilling a highly relevant role in the different fields of knowledge, addressing problems in various disciplines; there is an increased capacity to identify patterns and anomalies in an organization's data using data mining; In this context, the study aimed to develop a classification model for student dropout, applying machine learning with the autoML method of the H2O.ai framework; the dimensionality of the socioeconomic and academic characteristics has been taken into account, with the purpose that the directors make reasonable decisions to counteract the abandonment of the students in the study programs. The methodology used was of a technological type, purposeful level, incremental innovation, temporal scope, and synchronous; data collection was prospective. For this, a 20-item questionnaire was applied to 237 students enrolled in the master's degree programs in the education of the Graduate School. The research resulted in a supervised machine learning model, Gradient Reinforcement Machine (GBM), to classify student dropout, thus identifying the main associated factors that influence dropout, obtaining a Gini coefficient of 92.20%, AUC of 96.10% and a LogLoss of 24.24% representing a model with efficient performance.
{"title":"Classification model for student dropouts using machine learning: A case study","authors":"Henry Villarreal-Torres, Julio Angeles-Morales, W. Marín-Rodriguez, Daniel Andrade Girón, Jenny Cano-Mejía, Carmen Mejía-Murillo, Gumercindo Flores-Reyes, Manuel Palomino-Márquez","doi":"10.4108/eetsis.vi.3455","DOIUrl":"https://doi.org/10.4108/eetsis.vi.3455","url":null,"abstract":"Information and communication technologies have been fulfilling a highly relevant role in the different fields of knowledge, addressing problems in various disciplines; there is an increased capacity to identify patterns and anomalies in an organization's data using data mining; In this context, the study aimed to develop a classification model for student dropout, applying machine learning with the autoML method of the H2O.ai framework; the dimensionality of the socioeconomic and academic characteristics has been taken into account, with the purpose that the directors make reasonable decisions to counteract the abandonment of the students in the study programs. The methodology used was of a technological type, purposeful level, incremental innovation, temporal scope, and synchronous; data collection was prospective. For this, a 20-item questionnaire was applied to 237 students enrolled in the master's degree programs in the education of the Graduate School. The research resulted in a supervised machine learning model, Gradient Reinforcement Machine (GBM), to classify student dropout, thus identifying the main associated factors that influence dropout, obtaining a Gini coefficient of 92.20%, AUC of 96.10% and a LogLoss of 24.24% representing a model with efficient performance.","PeriodicalId":43034,"journal":{"name":"EAI Endorsed Transactions on Scalable Information Systems","volume":"47 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80499259","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}
Daniel Andrade Girón, Juana Sandivar Rosas, W. Marín-Rodriguez, Edgardo Carreño Cisneros, Ernesto Díaz-Ronceros, Henry Villarreal-Torres
In this article, a systematic review is carried out to identify random and systematic errors in studies on computer programming in pairs in higher education students. Methodologically, we applied the fundamentals of the PRISMA statement. One thousand one hundred eighty articles were selected from the Scopus, Web of Science, and IEEE Xplore databases. After a filtering process, the final sample was 23 23 articles. The results showed that couple programming has positive effects. The existence of both random and systematic errors was observed, which questions the internal and external validity. Further research is needed to establish the benefits of couple programming more precisely.
在本文中，进行了系统的回顾，以确定随机和系统的错误，在研究计算机编程的结对高等教育学生。在方法上，我们采用了PRISMA声明的基本原则。从Scopus、Web of Science和IEEE explore数据库中选择了180篇文章。经过过滤过程，最终样品为2323篇。结果表明，情侣编程具有积极的效果。随机误差和系统误差都存在，这对内部和外部的有效性提出了质疑。需要进一步的研究来更精确地确定耦合编程的好处。
{"title":"Random and systematic errors in pairwise computer programming: A systematic review","authors":"Daniel Andrade Girón, Juana Sandivar Rosas, W. Marín-Rodriguez, Edgardo Carreño Cisneros, Ernesto Díaz-Ronceros, Henry Villarreal-Torres","doi":"10.4108/eetsis.vi.3377","DOIUrl":"https://doi.org/10.4108/eetsis.vi.3377","url":null,"abstract":"In this article, a systematic review is carried out to identify random and systematic errors in studies on computer programming in pairs in higher education students. Methodologically, we applied the fundamentals of the PRISMA statement. One thousand one hundred eighty articles were selected from the Scopus, Web of Science, and IEEE Xplore databases. After a filtering process, the final sample was 23 23 articles. The results showed that couple programming has positive effects. The existence of both random and systematic errors was observed, which questions the internal and external validity. Further research is needed to establish the benefits of couple programming more precisely.","PeriodicalId":43034,"journal":{"name":"EAI Endorsed Transactions on Scalable Information Systems","volume":"12 1","pages":"e22"},"PeriodicalIF":1.3,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87810869","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}
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