The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This article presents a survey of the factors that indicate evasion in distance education, as well as the data mining techniques that are being used in the detection of evasion. As a methodology, we have used the systematic review, analyzing the works published in the last five years. The result indicated that there are multiple factors that influence evasion, which were systematized in four dimensions,...
The correcting process for strokes extracted from Chinese characters is the necessary step to extract the errors of writing errors automatically. Visualization of extracted strokes is the prerequisite for manual correction. Therefore, visualization and adaptive correction methods are proposed. To reduce the cognitive burden of correcting, color, brightness, saturation and order number is comprehensively...
Good nutrition is an essential component of life. Undernutrition is the root cause of death of over 3.5 million children under the age of five in India. To address this issue of malnutrition, though overarching national policy is desirable, it may not be effective if the root cause of malnutrition varies across regions of the country. In this context, the attempt made in this paper is two-fold. First,...
Through the continuous collection and in-depth analysis of the quality monitoring data of colleges and universities, we combine the efficiency processing of big data and data evaluation, monitor the status of higher education normally, and construct a higher education quality monitoring and evaluation platform based on Spark. This platform is teaching centered with schools as its basis, including...
Higher Education Institutions store a sizable amount of data, including student records and the structure of a degree curriculum. This paper focuses on the problem of identifying how closely students follow the recommended order of the courses in a degree curriculum, and to what extent their performance is affected by the order they actually adopt. It addresses this problem by applying techniques...
In the paper the problems of modeling and investigating the behavior of complex socio-economic systems are considered. Authors are deeply concerned about decision-making support issues in the case of evaluation for such complex socio-economic systems. To solve these problems, the totality of the development goals of the object and the priorities of these goals are determined, then the indicators are...
Massive Open Online Courses (MOOCs) are growing substantially in numbers, and also in interest from the educational community. MOOCs are online courses aimed at large-scale interactive participation and open access via the Web that made them possible for anyone with an internet connection to enroll in free, university level courses. In this paper, we propose a novel method to discover various types...
Traditional classroom teaching is difficult to satisfy students' personalized learning. The main work of the thesis constructs knowledge point model which using relational model and constructs student model according to the students' interest characteristics, it uses improved k-means algorithm to analyze students' learning interest characteristics to dig out the interests of different students, and...
Currently, the worldwide open and distance education institutions are carrying out teaching reform measures continuously to ensure open education quality, while teaching reform courses examination data analysis results will be able to reflect open education teaching reform effectiveness objectively. So Wilcoxon Rank Sum Test based examination data analysis scheme is proposed in this paper to detect...
One of the biggest challenges in higher education faces today is selecting the faculty members. With incorrect decision, the efficiency and effectiveness of an institution is a critical issue and moreover the characteristics of a faculty member may influence the possible success rate of an educational institution. Generally, professional institution are in need of selecting the good faculty member...
Big Data is the buzz word doing rounds in all areas of human existence be medical, social networks, research, it has also made inroads to education. The large size and complexity of datasets in Big Data need specialized statistical tools for analysis where R can come handy. This paper explores the analysis of Big Data in education using a contemporary statistical tool R. R provides multiple dimensions...
China Open University system, as an exclusive university organization that is specialized in distance open education in China, adopts the network teaching way, and whose teaching network covered the whole country, so the system's teaching quality is increasingly attracting attention, and the teaching reform measures used to improve the teaching quality also have been taken. Apparently, utilizing data...
Assessment of learning reflects the performance of an academic system. In reality, this performance is the cumulative impact of learning in each course of the program. Hence on completion of delivering a course in terms different components, it becomes important to understand the outcome produced, the knowledge and skills acquired by the students. One of the primary component of course assessment...
Nowadays the database of an organization is increasing day by day. Sometimes it is necessary to know the behavior of that organization by retrieving the relationships among different attributes of their database. Implication of association rules provides an efficient way of data mining task which is used to find out the relationships among the items or the attributes of a database. This paper addresses...
Based on the initial achievements made in Internet of Things, the hierarchical model of learning assessment will be constructed, applying both quantitative and non-quantitative evaluation standards, extracting key information that influences learning efficiency through data mining technique, formulating the weight of evaluation standards through analytic hierarchy process, diminishing the anthropogenic...
This paper starting from the teacher assessment data, analyze whether the evaluation indicators are suitable for factor analysis, then find the two factors which played a decisive role in evaluation indicators these indicators were interactive and related, so as to achieve the purpose of simplifying calculation. Final get the teachers' rankings by factor analysis.
University students'management, especially the decision-making part, is very heavy and complicated, so it may have subjectivity without scientific measures. As key index in students' integrated development evaluation, students' quality evaluation achievements play an important role in their development. This thesis puts forward decision support system for students'comprehensive evaluation based on...
To solve the security problem of multi-media, data hiding is one of important technologies. Loss less data hiding is a special type of data hiding technologies with the characteristic of completely recovering the cover media after the embedded data are extracted. Recently, many reversible data hiding methods have been proposed for VQ-compressed images. Lu et al. proposed a VQ reversible data hiding...
Farmers are the main financing of rural financial markets, in rural financial institution, lending is based on the credit status of the farmers, so the evaluation of their credit level is always the focus of the theory field and the practical field. A reasonable credit evaluation index system is the prerequisite for scientific credit evaluation. In this study, association rules technology which is...
In this paper, through by using the AHP (Analytic Hierarchy Process) method's basic theory analysis in online-teaching platform, analyzing ability of students' self-learning, and establishing the evaluation index system, according to expert criteria derived the value of influence factors. With it calculated every level index's weight by using the square root method, and implements the weight by given...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.