Course Difficulty Estimation Based on Mapping of Bloom's Taxonomy and ABET Criteria

TL;DR

This paper proposes a methodology to estimate course difficulty by mapping Bloom's Taxonomy and ABET criteria, validated through student grade histories, to better support educational assessment.

Contribution

It introduces a novel approach combining Bloom's Taxonomy and ABET criteria for course difficulty estimation, validated with real student grade data.

Findings

The methodology effectively correlates with student grades.

It provides a systematic way to assess course difficulty.

Supports tailored educational strategies.

Abstract

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.