Article Sidebar

Submitted
Sep 11, 2018
Published
Sep 30, 2017
Download
PDF
Statistic
Read Counter : 467 Download : 236

Main Article Content

Abstract

Assessment is one of the basic issues in both formal and informal educational contexts. Current online courses are massive and online, thus it is important to find new strategies for improve the effectiveness of evaluation. In MOOCs (Massive Open Online Courses), indeed, there is also the certification of knowledge and skills acquisition that requires more formal and trustworthy methods. Researchers should work to combine pedagogical and technological solutions to guarantee the effectiveness of learning measures. In this context, the Computer Adaptive Testing (CAT) could be useful to better measure the knowledge acquisition using a quiz, as usually happens in MOOCs. These are the premises of this research work that, in order to understand if CAT could be suitable for assessment in MOOCs, proposes a first algorithm to measure the acquired knowledge using a quiz-game. The pilot study attests the appreciation of users.

Keywords

computer adaptive test e-learning MOOCs

Article Details

The author declares that the submitted to Journal of e-Learning and Knowledge Society (Je-LKS) is original and that is has neither been published previously nor is currently being considered for publication elsewhere.
The author agrees that SIe-L (Italian Society of e-Learning) has the right to publish the material sent for inclusion in the journal Je-LKS.
The author agree that articles may be published in digital format (on the Internet or on any digital support and media) and in printed format, including future re-editions, in any language and in any license including proprietary licenses, creative commons license or open access license. SIe-L may also use parts of the work to advertise and promote the publication.
The author declares s/he has all the necessary rights to authorize the editor and SIe-L to publish the work.
The author assures that the publication of the work in no way infringes the rights of third parties, nor violates any penal norms and absolves SIe-L from all damages and costs which may result from publication.

The author declares further s/he has received written permission without limits of time, territory, or language from the rights holders for the free use of all images and parts of works still covered by copyright, without any cost or expenses to SIe-L.

For all the information please check the Ethical Code of Je-LKS, available at http://www.je-lks.org/index.php/ethical-code

How to Cite
Rossano, V., Pesare, E., & Roselli, T. (2017). Are Computer Adaptive Tests suitable for assessment in MOOCs. Journal of E-Learning and Knowledge Society, 13(3). https://doi.org/10.20368/1971-8829/1393