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To increase efficacy in traditional classroom courses as well as in Massive Open Online Courses (MOOCs), automated systems supporting the instructor are needed. One important problem is to automatically detect students that are going to do poorly in a course early enough to be able to take remedial actions. Existing grade prediction systems focus on maximizing the accuracy of the prediction while...
Data Analysis is key to understand the importance of accumulated data over a period of time. The importance of the accumulated data is understood by the data analyst over period of time. The authors had shown the importance of the data collected of the higher education by finding the new and un-identified facts using the statistically techniques. The authors found that the regression techniques could...
Inquiry based Inductive learning methodology is one of the best technique especially for the engineering students who are expected to solve real world problems. But it is very difficult to standardize a particular learning methodology for an institution with diverse attitude, diverse characteristics, diverse languages, diverse financial back grounds, and diverse cultural scenario with variable educational...
Information systems of educational organizations often represent a potential well of useful information which can be discovered and interpreted by using specific methods. Exam results in particular are commonly used as a single-use measure of individual knowledge states, after which they are archived and subsequently never used again. Our approach suggests using past exam results as a rich data source...
This paper focuses on improving higher education with the help of data mining techniques. The emphasis is on analysing specific attributes of students and predict their learning behaviour. A student can be a slow, medium or fast learner depending on his/her activeness in educational activities. Experimental results in this study show that decision tree classifier performs significantly well compared...
In this research study, our major interest is to test the significant association between selected variables which otherwise invisible. These variables have indirect impact on performance of students. We have devised out our own dataset for the experimental purpose. Our study has made these variables and their relationship visible. The results enable us to determine characteristics of learning environment...
In educational field, finding a suitable supervisor is vitally important for a student's research career. Students can acquire dynamic and continuous knowledge from supervisors. With the rapid proliferation of information technologies, there is amount of online information available for students. It poses challenges for them to quickly find relevant and useful information. Supervisor recommendation...
The expansion of urbanization and demographic changes defines not only economic demands but makes governments increasingly experience a serious force toward a sustainable development, which causes a need for a qualified and retaining competitive workforce. In view of this trend, governments and businesses start considering technology as vital enabler to solve the rising urbanization issues and improve...
GPS and WIFI Positioning Technology bases on Intelligent mobile phone terminal, it collects a certain number of big data for a positioned student sample in a specific period, uses clustering algorithm to the massive data, removes some meaningless noise data, renders the result of cluster analysis based on the platform for two-dimensional geographic information system, according to the actual 2D map...
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...
In recent years the amount of data stored in educational database is growing rapidly. The stored database contains hidden information which if used aids improvement of student's performance and behaviour. In this paper predictive modelling approach is used for extracting this hidden information. Data is collected, a predictive model is formulated, predictions are made, and the model is validated as...
Success of a system is ensured with effective implementation of Feedback System. In academia the purpose of Feedback system varies with management intention as a controlling tool or evaluation of teaching-learning process. Feedback of instructor or trainer by students is a legitimate source to know about the performance of a faculty and consequently of college/ institute. The prime perspective of...
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...
Rapidly increasing educational institutions, are imposing a great demand of quality education and placements for the benefit of the students as well as of the Institutions. In this paper application of Bayesian theorem on educational dataset has been proposed to predict placement results. Results are evaluated using Naive Bayes Classifier in WEKA and RapidMiner tool. Results generated will help instructors,...
Recently, games have started to be used in the educational field to teach different subjects. In fact, according to different research works, educational games have made learners more motivated and interested in learning. At the same time, learning analytics is gaining an increasing attention because it supports evaluating the learner, the given courses and the learning environment. This paper presents...
The influence of social networks among people and at the same time inevitable spread of commercial use of them. Accordingly, in order to sell products, recommender systems designed based on user behavior on social networks, providing a variety of commercial offers tailored to the user. The accuracy of recommender systems that make recommendations to users, and how many of the proposals are accepted...
To increase efficacy in traditional classroom courses as well as in Massive Open Online Courses (MOOCs), automated systems supporting the instructor are needed. One important problem is to automatically detect students that are going to do poorly in a course early enough to be able to take remedial actions. This paper proposes an algorithm that predicts the final grade of each student in a class....
A central challenge in education is to match instruction to the characteristics and learning styles of students in order to optimize learning. In this article, we intend to outline our approach to supporting personalized learning strategies by constructing dynamical student profiling using ubiquitous computing capability. This profiling includes recorded data on students' affective responses to learning...
One of the most important areas of optimizing the learning environment in distance education is to analyze the behavior of students in eLearning courses. The aim of the paper is to summarize the field of Educational data mining, analyze the behavior of students in e-course Computer data analysis and to present a few cases of a similar analysis of the behavior of students. The results of the analysis...
Computers and internet connection are now common equipment in households. However, computer games have become an obstacle in education because pupils spend time needed for education and relax by playing games. One of the possible solutions of this problem is a creation of attractive education programs in the form of computer games. Such programs will be attractive for children and will introduce them...
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