Abstract
Higher education is meant to produce knowledge in society. With this objective, the apex bodies of higher education frame policies to achieve it. One such policy is introducing outcome-based education (OBE) system in education institutes offers higher studies. As outcome-based assessments are integral part of it, the mechanism to measure the outcome’s attainment becomes crucial. In this technological era, the need for a system that automatically measures course outcome’s (CO) attainment is obvious. But challenges like missing data and one-to-many mapping between question and COs exist. The purpose of this paper is to model a system that can be used by academic bodies to measure CO attainment automatically given the abovementioned constraints.
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Sheth, J., Patel, B. (2021). Fuzzy K-Means Clustering in Measuring Course Outcome Attainment System for Higher Educational Institutes. In: Rathore, V.S., Dey, N., Piuri, V., Babo, R., Polkowski, Z., Tavares, J.M.R.S. (eds) Rising Threats in Expert Applications and Solutions. Advances in Intelligent Systems and Computing, vol 1187. Springer, Singapore. https://doi.org/10.1007/978-981-15-6014-9_4
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DOI: https://doi.org/10.1007/978-981-15-6014-9_4
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