The analysis of timeout behaviours in online tests
by Huixiao Le; Jiyou Jia; Lunghei Wong
International Journal of Innovation and Learning (IJIL), Vol. 27, No. 3, 2020

Abstract: Based on a dataset of more than 7.4 million records of learners' doing online tests activity in an online platform, and the concept of online learning activity index (OLAI), this paper analyses the timeout behaviours in online tests and attempts to answer the following two questions: what are the characteristics of those online learners with timeout behaviours in online tests? Does the amount of questions in a test influence learners' timeout behaviours? Descriptive statistics, correlation analysis and regression analysis are conducted to find the general pattern underneath the cases. Afterwards, this paper investigates how to optimise the amount of questions in one test in view of the timeout behaviours.

Online publication date: Tue, 21-Apr-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Innovation and Learning (IJIL):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com