Higher cognitive items generation algorithms

0Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The main goal of this research is to design item generation algorithms which can be integrated into the Online Test System developed earlier by the authors. The algorithms will be capable of generating items belong to higher cognitive level based on Bloom Taxonomy from a knowledge map created by a teacher (or co-created by a group of teachers). With the help of such integrated system teachers can reduce the time and effort they spend to prepare tests for assessing students’ mastery and understanding level of what they taught in class. This paper discusses the proposed algorithms in details and explains the experiment design in the end.

Cite

CITATION STYLE

APA

Aggrey, E., Chang, M., Kuo, R., & Zhang, X. (2018). Higher cognitive items generation algorithms. In Lecture Notes in Educational Technology (pp. 51–60). Springer International Publishing. https://doi.org/10.1007/978-981-10-8743-1_8

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free