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This project uses association rule mining to explore relationships among potential factors related to Skin Melanoma occurrence. The goal is to see if there are any environmental or demographic factors, such as age, education, poverty, UV exposure, or others that can be identified using their spatial relationship. By analyzing data from 2004 and 2014, this study can investigate decadal trends and differences...
Online education is combined by internet technology and traditional education. It grows rapidly recently. Big data has the characteristics of massiveness, diversification, low value and rapidity, which is deeply influencing and reconstructing the online education. The study on the educational technology matching big data analysis, and the exploration of the development trend and law of online education...
In this paper, syllabus visualization tool based on standard curriculum is proposed. To visualize the difference of syllabuses, the proposed tool uses correspondence analysis. Using the proposed tool, we can know the relationship between syllabuses and standard curriculum (CS2013).
In this paper we present a reference architecture for ETL stages of EDM and LA that works with different data formats and different extraction sites, ensuring privacy and making easier for new participants to enter into the process without demanding more computing power. Considering scenarios with a multitude of virtual environments hosting educational activities, accessible through a common infrastructure,...
The Open University of Japan (OUJ) and National Institute of Informatics (NII) have started collaborative study for learning analytics. OUJ is the largest distance education institution in Japan. In the academic year of 2015, OUJ launched interactive online courses. One of the essential features of online courses is the possibility to collect and analyze educational big data. To utilize such educational...
This paper aims to build data mining model to predict the performance of candidate teachers who apply for employment in education of high schools of Gaza Strip. We apply three classification algorithms on our dataset which are Decision Tree, Naïve Bays and KNN. Our dataset contains 8000 teacher records collected from ministry of education in Gaza Strip. Although there are a lot of researchers...
The interest on effective strategies to improve the learning process increased over the years. The usual practice is to know the characteristics of a student and how those can affect the learning style. The style describes how learners collect, select, interpret, organize and store information. This paper overviews the application of learning styles and how those affect the teaching of introductory...
Learning analytics (LA) leverages learner-related data to generate reliable and factual information for the purpose of enhancing decision making in higher education, workplace and schools. Therefore, we have envisioned the need for a learning analytics system for a consortium of Nigerian universities that could serve as a tool for academic advising. The system should be able to offer advice at several...
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,...
In this paper, we design a five-sided educational data mining framework (5S-EDMF) to analyze college students' diligence and effectiveness of study, and to recommend learning resource accordingly. We noticed data collected from students' E-learning activities to reveal a lot about the attitudes and behaviors of students online as well as offline. This provides us an additional valuable tool to access...
Learning Analytics focuses on improving learning process by studying and analyzing data produced during the process itself. It covers the collection, measurement, analysis, reporting and knowledge discovering on data about students, teachers and institutions. Learning Analytics has been widely developed in Anglo Saxon countries. USA, United Kingdom, Canada and Australia are amongst the main contributors...
Our lab-based small private online course (SPOC) combined online resources and technology with engagement between faculty and students based on OpenEdX platform. It worked with an auto-grading submission system which could reduce the instructors' burden of evaluation and provide better learners' experience. Different study behaviors were observed from the system tracking logs. Identifying at-risk...
Monotonic classification is a kind of classification task in which a monotonicity constraint exist between features and class, i.e., if sample $x_i$<alternatives> <inline-graphic xlink:href="wang-ieq1-2725832.gif"/></alternatives> has a higher value in each feature than sample $x_j$<alternatives> <inline-graphic xlink:href="wang-ieq2-2725832.gif"/></alternatives>...
As one of the most important characteristics of leaves, main vein contains many physiological information and internal characteristics of the plants, and the length of the main vein can indirectly reflect the growth of plants. This study used digital image processing technology. Firstly the collected image of leaves was smoothed in HSI space, and then using the threshold segmentation method to divide...
Currently, the government is still having difficulties in distributing teachers. The current problem is not just about less teachers, but also more teachers in some cities. The problem of unequal distribution of teachers then became dependent on local government. The distribution of teachers now can not be centralized because of the decentralization system implemented in Indonesia. Clustering in data...
Data with high volume, velocity, variety and veracity brings the new experience curve of analytics. Big data in higher education comes from different sources that include blogs, social networks, student information systems, learning management systems, research, and other machine-generated data. Once the data is analysed it promises better student placement processes; more accurate enrolment forecasts,...
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...
Educational Data Mining is a prominent area to explore information in educational fields using data mining algorithms. In this paper we have used few learning algorithms to effectively rate the faculty belonging to an educational institute on the basis of feedback submitted by the students. Our proposed model uses sentimental analysis and machine learning classifier algorithms for capturing the emotions...
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,...
In this poster, we discuss ideas on how to support cross-language communication, which tends to arouse cultural gaps, even if trans-lingual interpretation is provided. Many people usually write article (diary/essay/ etc.) on their daily experiences as UGC (User-Generated Content) through social media. Among them there may be certain situation of miscommunication caused by cultural gaps. Using text...
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