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

The Reliability to Predict Threat in Social Networks  

 During the analysis and study it will be possible to create and describe information damping mechanism for transition of threats from one user group to another (within the parameters of portraits), which is the mai...

Getting of Industrial Water for Steam Boilers with Treatment of Drinking Water from the Spring "Studenčica" 

 The drinking water from the source Studenčica contains a high percentage of dissolved mineral salts and can not be used for the operation of steam boilers.It is therefore necessary this water to bephysically and ch...

A Query Evaluation Approach using Opinions of Turkish Financial Market Professionals 

 People who do not have expertise in the financial area may not see the relationship between the numerical and linguistic data. In our study, a knowledge discovery approach using Turkish natural language processing...

 Designing a Virtual laboratory for Simulating to Production of Nanocomposite NdFeB Magnets

 The talent figure for a permanent magnet is the multiplication of the maximum energy (BHmax). Less volume magnet is required for the production of magnet flux density if the BHmax value is higher. Mathematical func...

Experimental Analysis of Main Characteristics Ejectors, Comparative Analysis of Experimental Data Calculatedly Characteristics

Ejectors are used to lower the temperature of water in the district heating system at the level of system temperature 90/70°C. The basic advantages of the ejector, as a unit for mixing, the simplicity, safety and which h...

Download PDF file
  • EP ID EP100352
  • DOI -
  • Views 161
  • Downloads 0

How To Cite

Irina Zheliazkova (2015). Knowledge Prediction of Different Students’ Categories Trough an ntelligent Testing . TEM JOURNAL, 4(1), 44-53. https://europub.co.uk/articles/-A-100352