Evaluation of Approaches for Automatic E-Assessment Item Annotation with Levels of Bloom's Taxonomy

• Published in: Learning Technologies and Systems Vol. 12511; pp. 57 - 69
• Main Authors: Meissner, Roy, Jenatschke, Daniel, Thor, Andreas
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2021; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Annotation; Bloom’s taxonomy; Data mining; E-assessment; Items; Knowledge based systems; Machine learning systems; Performance levels

The classification of e-assessment items with levels of Bloom’s taxonomy is an important aspect of effective e-assessment. Such annotations enable the automatic generation of parallel tests with the same competence profile as well as a competence-oriented analysis of the students’ exam results. Unfo...