You are here:

The added value of a gaming context and intelligent adaptation for a mobile learning application for vocabulary learning
ARTICLE

, , University of Amsterdam ; , Earlybird

Computers & Education Volume 76, Number 1, ISSN 0360-1315 Publisher: Elsevier Ltd

Abstract

Two groups participated in a study on the added value of a gaming context and intelligent adaptation for a mobile learning application. The control group worked at home for a fortnight with the original Mobile English Learning application (MEL-original) developed in a previous project. The experimental group worked at home for a fortnight with MEL-enhanced, the original application embedded in an adventure game and augmented with intelligent adaptation. Two learning themes were used: Zoo animals and Neighbourhood. Both groups attended lessons at school on Zoo Animals and Neighbourhood during the same periods they were allowed to work with the application at home. A pre- and post-test were conducted to establish the initial vocabulary knowledge and the knowledge acquired during the learning phase. The main results indicated that the students in the experimental condition (MEL-enhanced) outperformed the children from the control group (MEL-original), although the former group did not spend more time with the learning material than the latter, and that the students in the experimental group valued MEL-enhanced more than the children from the control group valued MEL-original.

Citation

Sandberg, J., Maris, M. & Hoogendoorn, P. (2014). The added value of a gaming context and intelligent adaptation for a mobile learning application for vocabulary learning. Computers & Education, 76(1), 119-130. Elsevier Ltd. Retrieved March 28, 2024 from .

This record was imported from Computers & Education on January 29, 2019. Computers & Education is a publication of Elsevier.

Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.compedu.2014.03.006

Keywords

Cited By

View References & Citations Map

These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact info@learntechlib.org.