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- W4313444008 abstract "The performance of a student is assessed in the present educational system using grades or marks they secure in various levels of examinations. This scoring of marks or grades that a students’ scores as part of his/her course depend on diverse parameters. Among those, the difficulty level of a course is identified to be the main parameter considering the history of scoring. Hence, priori computation of the difficulty level for a course may help the both the student and teacher community to decide on the amount of training required for the effective completion of the course. In this work, we have proposed a methodology to estimate the optimal difficulty level of a course by mapping three main components including action words in Bloom’s Taxonomy, criteria stated in Accreditation Board for Engineering and Technology (ABET), and the student learning outcomes defined in the course. The difficulty level estimated using the proposed model is validated using the history of grades secured by the students of our university and is found to be promising." @default.
- W4313444008 created "2023-01-06" @default.
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- W4313444008 date "2023-01-01" @default.
- W4313444008 modified "2023-10-14" @default.
- W4313444008 title "Course Difficulty Estimation Based on Mapping of Bloom’s Taxonomy and ABET Criteria" @default.
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- W4313444008 doi "https://doi.org/10.1007/978-981-19-7169-3_30" @default.
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