Title :
Increasing quality of education using educational data mining
Author :
Guleria, Pratiyush ; Arora, Manish ; Sood, Mehak
Author_Institution :
Extension Centre, NIELIT Chandigarh, Shimla, India
Abstract :
Data Mining is necessary in organizations to enhance competitive advantage and decision making. Through Data Mining, we can share, develop and apply this knowledge for organizational growth. The Purpose of this paper is to elicit knowledge from the information collected from faculty and students of educational institutions so that in-house training on skills and quality programmes required for training purpose can be planned. Through Data mining educational data can be analyzed and it helps in developing model for improving institutional effectiveness. Educational Data Mining is key area in mining students performance and helpful in predicting educational institutions performance taking parameters like Teaching skills, Course content, Infrastructure etc. In this paper, we have extracted useful knowledge from students of two different educational institutions taking their feedback on teaching skills.
Keywords :
data mining; data warehouses; educational computing; competitive advantage; course content; data warehouses; decision making; educational data mining; educational institutions; educational institutions performance; knowledge etxraction; students performance; teaching skills; Data mining; Data warehouses; Databases; Decision making; Educational institutions; Warehousing; Feedback; Knowledge; Mining; Quality; Skills;
Conference_Titel :
Information Management in the Knowledge Economy (IMKE), 2013 2nd International Conference on
Conference_Location :
Chandigarh