The Application of Data Mining in Distance Instruction

2010 ◽  
Vol 159 ◽  
pp. 228-231
Author(s):  
Huan Wang
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Statistical Analysis ◽  
Learning System ◽  
Network Technology ◽  
Distance Teaching ◽  
Web Based ◽  
Education Services ◽  
Distance Learning System ◽  
Distance Instruction

With the continuous development of the network technology, a Web-based distance learning system and its use is appealed more and more attention, data mining, artificial intelligence and other technologies’ application in distance teaching Systems are becoming more extensive and more in-depth. Association rules, statistical analysis, classification, etc., these data digging techniques used in teaching system have improved the system's intelligence, Better to improve distance education services, so to help students improve learning efficiency much higher.

scholarly journals The Use of Technology in Distance Language Learning

2008 ◽  
Vol 8 (16) ◽  
pp. 275-284
Author(s):  
Graciela Núñez Núñez
Keyword(s):  
Language Learning ◽  
Negative Impact ◽  
Learning System ◽  
Target Language ◽  
Distance Teaching ◽  
Policy Makers ◽  
Use Of Technology ◽  
Distance Learning System ◽  
Teachers And Students ◽  
Teaching Learning

Distance language learning is a real challenge to both teachers and learners, since the students’ exposure to the target language in a distance learning system is not as authentic and interactive as required. Additionally, it also entails a significant reduction in the amount of students’ interaction and in the support from both the teacher and other learners, which has a negative impact on students’ levels of motivation and achievement. In the hope of enhancing the distance teaching-learning process of a language and compensating for the previously mentioned drawbacks, a number of technological tools are currently being implemented. However, these technologies have also brought about new challenges that need to be addressed by policy makers, materials developers, teachers and students, if they are to be successfully implemented.

The Realization of the Data Mining Technology and its Application

2014 ◽  
Vol 971-973 ◽  
pp. 1820-1823
Author(s):  
Xi Long Ding
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Bayesian Network ◽  
Network Modeling ◽  
Present Situation ◽  
Network Technology ◽  
Mining Method ◽  
Bayesian Network Modeling ◽  
Database Technology ◽  
The Relationship

data mining using the database, a variety of technologies such as artificial intelligence and mathematical statistics. This paper introduces the present situation of database technology, according to the mining method and its application in how to build a Bayesian network technology, through the scattered according to the mining to solve concrete problems encountered in the process of Bayesian network modeling, namely how to from scale effect according to the library to find the relationship between each variable and how to determine the conditional probability problem.

scholarly journals Implementasi Sistem Mobile Learning pada MI Taufiqul Athfal Bogor

2021 ◽  
Vol 5 (4) ◽  
pp. 597
Author(s):  
Andi Prastomo
Keyword(s):  
Distance Learning ◽  
Mobile Learning ◽  
Learning Process ◽  
Teaching And Learning ◽  
Learning System ◽  
Distance Teaching ◽  
Face To Face ◽  
Use Of Technology ◽  
Distance Learning System ◽  
Iso 9126

The application of technology in education is being developed very intensively today, especially the use of technology to support the teaching and learning process. The transfer of conventional learning methods such as face-to-face in the classroom towards a modern direction such as distance learning using computer-based systems or smartphones (Mobile Learning) has become a common thing implemented in today's education world. But not all educational institutions implement the same thing as MI Taufiqul Athfal Bogor. The purpose of this study was to design and implement a distance learning system based on android with smartphone media (Mobile Learning) to help MI Taufiqul Athfal Bogor in the teaching and learning process. The research method used is the Research & Development (R&D) method. System testing was carried out using the ISO 9126 method by distributing questionnaires to 20 respondents who were teachers at MI Taufiqul Athfal. The test results with four aspects of ISO 9126, namely aspects of Fuctionality, Reliability, Usability, and Efficiency produce an overall Actual Total score, namely Total% Actual of 90%, thus concluding that the quality of the system is Very Good to implement. The final result of this research is an Andiroid-based Mobile Learning system designed by researchers which is implemented very well at MI Taufiqul Athfal and helps support the distance teaching and learning process.

scholarly journals The Effect of Coronavirus (Covid19) Outbreak on Education Systems: Evaluation of Distance Learning System in Turkey

2020 ◽  
Vol 9 (4) ◽  
pp. 1 ◽  
Author(s):  
Enes BELTEKIN ◽  
İhsan KUYULU
Keyword(s):  
Distance Learning ◽  
Attitude Scale ◽  
Learning System ◽  
Physical Sciences ◽  
Web Based ◽  
Technical Problems ◽  
Significance Level ◽  
Digital Platforms ◽  
Face To Face ◽  
Distance Learning System

Due to Covid19, measures have been taken to minimize interaction, maintain social isolation, and ensure interpersonal social distance. As a result of these decisions taken by the authorities, educational activities in Turkey were suspended at first. After some time, lessons were given in the form of distance learning on digital platforms. This research was carried out to evaluate the efficiency, positive and negative aspects of the distance learning system, and its shortcomings from the viewpoints of the students. 594 students, 139 of whom are from private universities, 455 of whom are from state universities, faculties of physical sciences and sports schools, participated in the study in the 2019-2020 academic year. In the research, a survey program known as “Web-Based Instructional Attitude Scale” was used to collect data for the purpose of the research. The data obtained at the end of the research was analyzed with the SPSS 22 statistics program and the significance level was taken as 0.05 among the variables. In order to get an idea about the distribution of the data, firstly the normality of the distributions, and then the skewness and kurtosis tests were examined. According to test results, Independent Sample T test was performed in binary comparisons, One-Way Variance Analysis analysis in multiple comparisons, and correlation test was used to determine the relationship between variables. According to the answers given by the students who participated in the study, although they now ensured that their education activities continue without disruption; It has been determined that the courses taught in the form of distance learning are not as effective as face-to-face education, they are insufficient in terms of efficiency for students, and technical problems in the system negatively affect students’ motivation to learn. As a result, no matter how practical the distance learning system is during times of crisis, it may not be as efficient as face-to-face education, and it requires more technical development and always be ready for use.

scholarly journals The concept of using artificial intelligence in distance learning

2021 ◽  
pp. 30-41
Author(s):  
Roman Vladimirovich Kamenev ◽  
◽  
Aleksandr Borisovich Klassov ◽  
Valeriy Vasilyevich Krasheninnikov ◽  
◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Distance Learning ◽  
Knowledge Bases ◽  
Learning System ◽  
Negative Consequences ◽  
Conversational Agents ◽  
Educational Impact ◽  
Modern Distance Education ◽  
Distance Learning System ◽  
Artificial Intelligence In Education

The article presents an analysis of possible directions of using artificial intelligence in education. It is shown that artificial intelligence in modern distance education contributes to its further development in the direction of modernization and has a significant impact, especially on the modern distance learning system. The requirements for artificial intelligence on the part of education and the negative consequences of the use of artificial intelligence and problems that may affect the quality of education are analyzed. The possible directions of work in terms of the development of artificial intelligence related to the development of knowledge representation models, the creation of knowledge bases forming the core of the expert system are considered. Attention is drawn to the fact that an intelligent learning system should be able to perform various functions of a teacher (to help in the process of solving problems, to determine the cause of students’ mistakes, to choose the optimal educational impact) almost as intelligently as a person does. Attention is also paid to such a direction as the use of intelligent chat-bots or conversational agents and their applications.

Organic Knowledge Management for Web-Based Customer Service

2011 ◽  
pp. 92-108
Author(s):  
Stephen D. Durbin ◽  
Doug Warner ◽  
J. Neal Richter ◽  
Zuzana Gedeon
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Knowledge Management ◽  
Customer Service ◽  
System Architecture ◽  
The Internet ◽  
Web Based ◽  
Information Navigation ◽  
Knowledge Processes ◽  
Meta Information

This chapter introduces practical issues of information navigation and organizational knowledge management involved in delivering customer service via the Internet. An adaptive, organic approach is presented that addresses these issues. This approach relies on both a system architecture that embodies effective knowledge processes, and a knowledge base that is supplemented with meta-information acquired automatically through various data mining and artificial intelligence techniques. An application implementing this approach, RightNow eService Center, and the algorithms supporting it are described. Case studies of the use of eService Center by commercial, governmental and other types of organizations are presented and discussed. It is suggested that the organic approach is effective in a variety of information-providing settings beyond conventional customer service.

Organic Knowledge Management for Web-Based Customer Service

2011 ◽  
pp. 1971-1986
Author(s):  
Stephen D. Durbin ◽  
Doug Warner ◽  
J. Neal Richter ◽  
Zuzana Gedeon
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Knowledge Management ◽  
Customer Service ◽  
System Architecture ◽  
The Internet ◽  
Web Based ◽  
Information Navigation ◽  
Knowledge Processes ◽  
Meta Information

This chapter introduces practical issues of information navigation and organizational knowledge management involved in delivering customer service via the Internet. An adaptive, organic approach is presented that addresses these issues. This approach relies on both a system architecture that embodies effective knowledge processes, and a knowledge base that is supplemented with meta-information acquired automatically through various data mining and artificial intelligence techniques. An application implementing this approach, RightNow eService Center, and the algorithms supporting it are described. Case studies of the use of eService Center by commercial, governmental and other types of organizations are presented and discussed. It is suggested that the organic approach is effective in a variety of information-providing settings beyond conventional customer service.

Sign in / Sign up

Export Citation Format

Share Document