Knowledge Prediction of Different Students’ Categories Trough an ntelligent Testing
Journal Title: TEM JOURNAL - Year 2015, Vol 4, Issue 1
Abstract
Student’s modelling, prediction, and grouping have remained open research issues in the multi-disciplinary area of educational data mining. The purpose of this study is to predict the correct knowledge of different categories of tested students: good, very good, and all. The experimental data set was gathered from an intelligent post-test performance containing student’s correct, missing, and wrong knowledge, time undertaken, and final mark. The proposed procedure applies consequently correlation analysis, simple and multiple liner regression using a power specialized tool for programming by the teacher. The finding is that the accuracy of the procedure is satisfactory for the three students’ categories. The experiment also confirms some findings of other researchers and previous authors’ team studies.
Authors and Affiliations
Irina Zheliazkova
Keywords
Related Articles
- EP ID EP100352
- DOI -
- Views 162
- Downloads 0
Application of the Scoring Model for Assessing the Credit Rating of Principals
One of the most commonly used methods for assessing the credit rating of counterparties is a credit scoring model or credit scoring. Economic pressures, resulting in increased demand for loans, along with increasin...
Integrating linked open data in mobile augmented reality applications - a case study
In this paper we develop a model and implement a prototype that integrates user-generated linked open data and open government data in a mobile augmented reality tourism application that works in the browser of the...
Design and Experimental Investigation of Pneumatic Movement Mechanism Supported by Mechanic Cam and Crank Shaft
The pressurized air is applied to many sectors required purity and velocity. One of these sectors is to use of air as impulsive force in the moving mechanisms. In this study, the movement mechanism prototype worked with...
Sign Language Recognition using Neural Networks
Sign language plays a great role as communication media for people with hearing difficulties.In developed countries, systems are made for overcoming a problem in communication with deaf people. This encouraged...
Efficient Dynamic Capacity Management Approach for Guarantee SLAs in Clouds
Recently, Cloud computing has created new dimensions for computing. The process of providing service – enabled connection is considered to be the most important function of clouds. This paper which we have carefull...