Course Difficulty Estimation Based on Mapping of Bloom's Taxonomy and ABET Criteria
This provides a tool for students and teachers to adjust training levels for course completion, but it is incremental as it builds on existing educational frameworks.
The paper tackles the problem of estimating course difficulty by mapping Bloom's Taxonomy action words and ABET criteria to learning outcomes, and validates the estimated difficulty using historical student grade data.
Current Educational system uses grades or marks to assess the performance of the student. The marks or grades a students scores depends on different parameters, the main parameter being the difficulty level of a course. Computation of this difficulty level may serve as a support for both the students and teachers to fix the level of training needed for successful completion of course. In this paper, we proposed a methodology that estimates the difficulty level of a course by mapping the Bloom's Taxonomy action words along with Accreditation Board for Engineering and Technology (ABET) criteria and learning outcomes. The estimated difficulty level is validated based on the history of grades secured by the students.