A FRAMEWORK FOR THE INDIRECT ASSESSMENT TOOL FOR OUTCOME BASED EDUCATION USING DATA MINING

Outcome Based Education (OBE) is the key essential part of educational organizations. Outcome based education system is an important step for the accreditation. OBE puts focus on student-centered approach. This paper is an attempt to provide the framework to automate the attainment process using the assessment and mapping data of Program Outcomes (POs) and Course Outcomes (COs) retrieved from indirect assessment tools. There are various types of surveys like alumni survey, course embedded survey and industrial survey. A survey is conducted to check the level of satisfaction of student with regard to teaching learning process. The questions of survey are being mapped with COs and subsequently with POs. Then different questions are asked by the teacher to the students. In this way data is obtained for further calculations. Here after, with the help of calculations, attainment levels of the COs are calculated which is further used in the calculations of the POs. Then in the end attainment of different POs are obtained. Furthermore, computed attainment are used for prediction using Weka tool and corresponding to that different classes are associated with that data. In this way, one can improve the performance of the students by looking at the different values in all the courses and hence it leads to the overall development of the students. Eventually, the values which are obtained in the data mining table, can be used as a further step for different suggestions which leads to the overall development of OBE.