Enabling fine granularity of difficulty ranking measure for automatic quiz generation

Nuthong, Sasitorn; Witosurapot, Suntorn

doi:10.1109/iciteed.2017.8250492

Cited by 3 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For mentioned purpose the computing technology has been using for a long time. In the era of the Internet and the online technologies another significant advantage of using the computing technology for the purpose of testing appeared, namely the remote knowledge verification using on-line connection (Hürst, Jung and Welte, 2007;Niazi and Mahmoud, 2000). The objective of this article is to present a proposal of the system for the automatic test generation according to the set requirements related to the structure (score, number of questions, issues tested) and the requirements concerning the Printed ISSN: 2336-2375 mutual relations of the tests, i.e.…”

Section: Introductionmentioning

confidence: 99%

On the Problem of Generating a Large Number of Comparable Test Variants

Gangur

Plevný

2018

ERIES Journal

View full text Add to dashboard Cite

The paper presents a possible way of solving the problem of creating more test variants for a large number of students divided into groups. The proposed solution may consist in introducing a parameterized automatic test generator. The principle of an automatic parameterized test generator is shown. The process of the question tree construction according to the increasing numbers of question in the banks of the particular subjects leads to a combinatorial explosion. This often results in excessive time of generation of the different variants of tests. To solve this problem, a heuristic method based on a preprocessing stage that precedes the construction of the searching tree is proposed. Further, the results of the experiments comparing the time of the test generation and the congruence of the test variants generated by the algorithm either using or non-using this heuristics are presented. According to these results the use of the generator with the proposed heuristics provides a considerably shorter time of generation, and the congruence of the generated test variants is even better in most cases.

show abstract

Section: Introductionmentioning

confidence: 99%