A FRAMEWORK FOR INDIRECT ASSESSMENT TOOL FOR OUTCOME BASED EDUCATION USING DATA MINING by Jeevan Bhatia
Abstract
In today‟s era, graduates are required to acquire the set of skills that are required to get a job in the industry. The traditional education model suffers from the limitation of assessing these skills in the graduates at the end of the program. The Outcome Based Education (OBE) model plays an important role in this regard to overcome the above specified issue. OBE empirically measures the student performance. OBE helps the students to demonstrate the skills that are clearly articulated to them at the start of the program. Accrediting bodies are focusing more on the assessment of student learning outcomes. Every year huge datasets of assessment data are accumulated using OBE model. If analysed properly, this data can be used to predict the student competencies based on the attainment prediction. Manual record keeping and attainment calculation makes it a challenging task to extract the meaningful information from this ever growing data repository. The proposed work implicates the construction of a framework to automate the attainment process using the assessment and mapping data of Programme Outcomes and Course Outcomes retrieved from an indirect assessment tool. An interface is provided to store the data of various indirect assessment tools such as alumni survey, course embedded survey, student survey and industrial survey. The attainment data so obtained is used to predict the attainment of various programmes and courses using the classification techniques. Data is entered into the system using the interfaces provided by the framework. The work done helps the instructors to find the meaningful information from the assessment data and helps them to take proactive decisions in order to improve the attainment of low performing courses. Moreover with the automation of the attainment calculation, the manual work for the faculty is reduced, resulting in time saving and better focusing on the attainment improvement and various other scholarly activities.
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