Data mining techniques for e-learning
Journal Title: Journal of Applied Computer Science & Mathematics - Year 2016, Vol 10, Issue 22
Abstract
Data Mining (DM), sometimes called Knowledge Discovery in Databases (KDD), is a powerful new technology with great potential to help companies focus on the most important information in the data they have collected via transactions. In the education field, the prediction of students learning performance, detection of inappropriate learning behaviours, and development of student profile may be considered e-learning problems where data mining can successfully solve them. In this paper, the authoress analyses the possibilities to apply data mining techniques in e-learning context, to predict the students’ status referring to their activities and the interest in using advanced tutoring tools. The experiments were performed on the basis of data provided by an e-learning platform (Moodle) regarding the logging parameters of students enrolled on Interactive Tutoring Systems discipline during the second semester of current year.
Authors and Affiliations
Irina IONIȚĂ
Keywords
Related Articles
- EP ID EP446534
- DOI 10.4316/JACSM.201602004
- Views 382
- Downloads 0
Approximate solution of high-order integro-differential equations using radial basis functions
In this paper, we present a numerical method to solve linear and nonlinear high-order Volterra integro-differential equations. This method is based on interpolating by radial basis functions, using Legendre-Gauss-Lobatto...
Developing a Mathematical Model to Estimate the Intensity of the Global Radiation
–This research aimed to create an empirical mathematical model to estimate the average monthly of total daily radiation of the global radiation in the middle of northeast Thailand. The model showed the ratio of the month...
Study of Complexities in Bouncing Ball Dynamical System
Evolutionary motions in a bouncing ball system consisting of a ball having a free fall in the Earth’s gravitational field have been studied systematically. Because of nonlinear form of the equations of motion, evolutions...
Mining Social Media and DBpedia Data Using Gephi and R
The big data is playing a big role in the field of machine learning and data mining. To extract meaningful and interesting information from big data mining is a challenge. The size of the data at social media and Wikiped...
Kalman Filters for Estimating the potential GDP
The estimation of the potential GDP has a twofold importance: on one hand its accurate estimation allows the correct dimensioning of the macroeconomic policies and on the other hand, the study of potential GDP is a resea...