M. Moreno, R. Brandão, R. Santos, Wallas Sousa, Renato Cerqueira
{"title":"Representing Experts' Interpretive Trails with Hyperknowledge Specifications","authors":"M. Moreno, R. Brandão, R. Santos, Wallas Sousa, Renato Cerqueira","doi":"10.1145/3338188.3338216","DOIUrl":"https://doi.org/10.1145/3338188.3338216","url":null,"abstract":"Representing users' creative and interpretive processes may be useful to identify problems and solutions associated with interactive decision-making processes. Generally, these processes are related to the interaction of users with some multimedia content (text, video, audio, images, etc.) and structuring users' tacit and explicit knowledge. Tracking such process should generate a representation of users' trails in a linear construction of time. However, this representation is generally not well structured from a knowledge engineering perspective. Considering highly immersive environments with interaction through multiple modalities, tracking this knowledge becomes even more complex. On the one hand, cognitive agents have been increasingly used to support decision-making practices, which may involve knowledge-intensive activities and critical thinking. On the other hand, these systems may demand an overly complex design and implementation given the lack of knowledge representations capable of describing steps of creative processes, including rich relationships between symbolic and non-symbolic data. Inferring human interpretation and knowledge in such a representation in these processes are fundamental to improve the design of systems that support decision-making, as well as general systems. In this work, we propose applying high-level conceptual components in a knowledge representation to explicitly characterize users' interpretive trails. The solution aims at supporting the representation of the multimedia data and knowledge sources someone interacted with, along with the sequence of steps expressing their interpretation strategies.","PeriodicalId":164019,"journal":{"name":"Proceedings of the 5th International Conference on Frontiers of Educational Technologies - ICFET 2019","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124543525","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}
Xu Yang, Chang Gao, Hongyan Hong, Dong Cheng, Ling Chen, Min Yang
{"title":"Application of Visualization Techniques in Automatic Identification System Data Analysis","authors":"Xu Yang, Chang Gao, Hongyan Hong, Dong Cheng, Ling Chen, Min Yang","doi":"10.1145/3338188.3338210","DOIUrl":"https://doi.org/10.1145/3338188.3338210","url":null,"abstract":"Ship collision accidents ranks first among all kinds of water traffic accidents. And the number of them has been high all the time. If ships collide with each other, they will often cause significant casualties and losses of property. Automatic Identification System (AIS) data contains a wealth of information. In the marine traffic engineering, if the data analysis technology can be used reasonably and the massive ship AIS data can be analyzed and processed, it will provide a new means for the marine traffic survey. However, because the AIS data contains abundant information and is not easy to understand intuitively, it will not be effective and efficient to understand the AIS data and get the corresponding decision if the traditional data analysis method is used. This paper explores the use of data visualization analysis technology to assist in analyzing of AIS data.","PeriodicalId":164019,"journal":{"name":"Proceedings of the 5th International Conference on Frontiers of Educational Technologies - ICFET 2019","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125783182","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":"Evaluation Model of PE Teaching Quality Based on Active Learning Support Vector Machine","authors":"Fan Zhang, Qinhua Jiang, Changzhi Jia, Bo Zhou","doi":"10.1145/3338188.3338202","DOIUrl":"https://doi.org/10.1145/3338188.3338202","url":null,"abstract":"Traditional methods of Physical Education (PE) teaching quality assessment in Colleges and universities have been unable to meet the needs of information and modern PE teaching mode in terms of accuracy and efficiency. Therefore, aiming at the problem of classroom PE teaching quality evaluation in Colleges and universities, this paper proposes an assistant PE teaching quality evaluation model based on active learning support vector machine. Considering the actual situation in many aspects, the evaluation index system of classroom PE teaching quality is constructed. The active learning support vector machine (AL-SVM) is used to establish the evaluation model of classroom PE teaching quality. The collected data sets of PE teaching quality in a university are experimented and the results are analyzed. The experimental results show that, compared with other evaluation models, the proposed evaluation model has certain advantages in accuracy and efficiency, and can obtain better evaluation results of PE teaching quality in Colleges and universities.","PeriodicalId":164019,"journal":{"name":"Proceedings of the 5th International Conference on Frontiers of Educational Technologies - ICFET 2019","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114806903","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 of Equipment Comprehensive Application Course Based on Blended Learning","authors":"Chun-mei Song, Xiaobin Wang, Kai Wang","doi":"10.1145/3338188.3338194","DOIUrl":"https://doi.org/10.1145/3338188.3338194","url":null,"abstract":"With the development and progress of educational informatization and modern educational technology, the traditional receptive and instilling teaching concept is difficult to adapt to the teaching requirements of equipment comprehensive application in military academies. According to the characteristics of the communication sergeant vocational education, the equipment application learning community is constructed based on the theory of Blended Learning (B-Learning) in this paper. Specifically, the design of teaching objectives, the development of teaching resources, the organization and implementation of teaching and the evaluation of teaching is studied respectively. The expected results can motivate the creativity of students and strengthen the cooperation between students and students, teachers and students, and lead the improvement of teaching effectiveness.","PeriodicalId":164019,"journal":{"name":"Proceedings of the 5th International Conference on Frontiers of Educational Technologies - ICFET 2019","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134054115","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":"Factors Influencing Student Choice of Transnational Higher Education in China","authors":"Dan Liu, Wenzhong Zhu","doi":"10.1145/3338188.3338189","DOIUrl":"https://doi.org/10.1145/3338188.3338189","url":null,"abstract":"In this paper, we explore Chinese students' choice of transnational higher education, in the form of the joint programmes delivered collaboratively by overseas and local Chinese universities. Through a case study of the students in the joint porgrammes provided by a UK university and a Chinese University, the findings indicate that students' choice of transnational higher education is influenced by: 1) the push factors from the domestic higher education, such as a lack of access to satisfying domestic higher education institutions, and the low competitiveness of domestic degrees; 2) the push factors of the overseas higher education, such as comparatively higher costs and worries about not being able to adapt to the overseas environment; and 3) the pull factors from the transnational higher education, such as offering students with a transitional period, comparative lower cost and satisfying education quality. The research adds understanding to the Chinese student choice of transnational higher education, and joint programmes in particular which is a major form of transnational higher education in China but under-researched.","PeriodicalId":164019,"journal":{"name":"Proceedings of the 5th International Conference on Frontiers of Educational Technologies - ICFET 2019","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116228309","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":"Integration of Linguistic and Aesthetic Education: An Integrated Cultural Approach for Teaching Medical English","authors":"A. Bobunova, E. Notina, I. Bykova","doi":"10.1145/3338188.3338190","DOIUrl":"https://doi.org/10.1145/3338188.3338190","url":null,"abstract":"Foreign language teachers are now actively using modern technologies to the detriment of others, which are no less effective and perform successfully the functions of arts and cultural education. Teaching a foreign language for special purposes (ESP) is not often connected to works of art and has no practical application in professional communication skills training. The purpose of this study was to prove the effectiveness of the application of art in ESP teaching.\u0000 The experimental training course enrolled 60 students of the Institute of Medicine of RUDN University who studied in the field of clinical medicine in the period from September to December 2018. 60 students who studied under the standardized curriculum were considered as a control group. 16 professional translation lessons were integrated with fine art. The course was divided into three stages (5-6 lessons each): classroom lessons, visit activities at an art gallery, individual project presentation. Before and upon completion of the training course, students were tested on the levels of their linguistic knowledge, motivational involvement, cultural and professional development. As a result, the majority of experimental group benefited from participating in the course: (language aspects mastering - 92%, motivational involvement - 100%, cultural development - 95%, professional development - 96%).\u0000 We can conclude that ESP teaching by means of art education is an effective means of enhancing students' linguistic, professional, and cultural competencies and contributes to increasing the motivation to learn a foreign language.","PeriodicalId":164019,"journal":{"name":"Proceedings of the 5th International Conference on Frontiers of Educational Technologies - ICFET 2019","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127533946","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 Study of Heart Disease Diagnosis Using Top Ten Data Mining Classification Algorithms","authors":"I. K. A. Enriko","doi":"10.1145/3338188.3338220","DOIUrl":"https://doi.org/10.1145/3338188.3338220","url":null,"abstract":"Data mining has been used for many purposes, especially for prediction system. In healthcare, data mining algorithms often used in disease diagnosis. Meanwhile, heart disease is known as a primary cause of death over the years. Many studies have been performed in heart disease diagnosis using data mining methods. There are some popular data mining algorithms that can be used in heart disease diagnosis, for example, k-Nearest Neighbor, CART, and AdaBoost. The algorithms are used to analyze a sample of cardiovascular patients data and predict the heart disease type that they suffer. Some parameters are taken from the patient, including EKG morphology, blood pressure, and information about the existence of chest pain, shortness of breath, palpitation, and cold sweat. In this study, medical records data are collected from Harapan Kita Hospital and utilized as a dataset sample in this research. Top ten data mining classification algorithms are used in diagnosing heart disease from Harapan Kita Hospital data and examining their performance by checking the accuracy and speed.","PeriodicalId":164019,"journal":{"name":"Proceedings of the 5th International Conference on Frontiers of Educational Technologies - ICFET 2019","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117077455","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":"Prediction and Analysis of College Students' Sports Achievements Based on Support Vector Machine and Particle Swarm Optimization","authors":"Fan Zhang, Qinhua Jiang, Bo Zhou","doi":"10.1145/3338188.3338203","DOIUrl":"https://doi.org/10.1145/3338188.3338203","url":null,"abstract":"In order to scientifically evaluate college students' physical fitness, a prediction model of sports performance based on machine learning algorithm is proposed. This paper analyses the current situation of College Students' sports achievement prediction, points out the reasons that lead to the low prediction accuracy of the current model, establishes the prediction model of College Students' sports achievement by using machine learning algorithm-support vector machine, and uses particle swarm optimization algorithm to select model parameters. Finally, the model is applied to the sports achievement modeling and prediction of a university. The application results show that the machine learning algorithm can overcome the shortcomings of the traditional model and improve the prediction effect of College Students' sports performance.","PeriodicalId":164019,"journal":{"name":"Proceedings of the 5th International Conference on Frontiers of Educational Technologies - ICFET 2019","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124099151","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":"Impact of Previous Reading Experiences on Effectiveness of e-Textbook","authors":"F. Zhao, Xiaowen Fang, Feng Wang","doi":"10.1145/3338188.3338195","DOIUrl":"https://doi.org/10.1145/3338188.3338195","url":null,"abstract":"Individual learning experiences have been changed with new technology development. Digital media has become a more favorable format in both reading and learning. This study investigated the reasons behind contradictory results in past e-textbook adoption studies and proposed that previous reading experiences associated with age were related to the effectiveness of e-textbook usage in learning. Results reveal a positive relationship between previous e-textbook reading experience and learning outcomes for current middle school students and older undergraduate students. Implications of changes in reading behaviors were discussed and future research was suggested.","PeriodicalId":164019,"journal":{"name":"Proceedings of the 5th International Conference on Frontiers of Educational Technologies - ICFET 2019","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130638163","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":"SPOC Blended Teaching of Computer Fundamental Course","authors":"Yi Yang, Dekuang Yu","doi":"10.1145/3338188.3338196","DOIUrl":"https://doi.org/10.1145/3338188.3338196","url":null,"abstract":"With the rapid progress of technology, the contents and requirements of computer fundamental course teaching are increasing year by year, while at the same time there are problems caused by the contradiction of the limited class hours and the varied levels of the starting points of the students. In order to improve the teaching level and effectiveness of computer fundamental course, we took advantages of SPOC (Small Private Online Courses) blended advanced teaching idea, combined the teaching concepts with teaching practice closely, and explored on reasonable application and implementation of SPOC model. The main measures included reconstruction of the structure and organization of teaching contents according to professional requirements as well as the needs of students, offering an individualized quality education for every student, online and offline learning and practice in which the students acting as the main body, fully development of student-student and teacher-student interaction. We also tried to solve puzzles from students in time, to explore the potential of students, and to promote their creative ideas and works. Practice showed that by using SPOC blended mode in the computer fundamental course teaching, the students' initiative was stimulated, the performance of course examination was improved obviously, and the learners performed better in extracurricular activities compared with control groups. The experience of the SPOC blended teaching mode reform has been proved to be a good help to promote the quality of engineering teaching and improve the students' ability of information technology.","PeriodicalId":164019,"journal":{"name":"Proceedings of the 5th International Conference on Frontiers of Educational Technologies - ICFET 2019","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114311655","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}