Title :
Adaptive systems as enablers of feedback in English language learning game-based environments
Author :
Mariia Gavriushenko;Laura Karilainen;Marja Kankaanranta
Author_Institution :
Dept. of Mathematical Information Technology, University of Jyvä
Abstract :
This paper presents perspectives on adaptive web-based learning environments, their tasks, functions, techniques and methods. The main categories, types and layers of adaptive learning systems as well as different forms of feedback used in these environments were examined. The significance of feedback becomes emphasized in learning environments because it helps to plan the student´s learning path, provide information about their progress, note the important information and guide the student along the learning process. This work introduces an evaluation framework for the analysis of game-based learning environments by the main criteria used in adaptive learning games. The analysis is focused on various learning environments, specifically applications and games for English language learning. The analysis results in an evaluation of 23 game-based learning environments and applications that are developed for the purposes of English learning. The relationship between the feedback types and areas of English learning is presented.
Keywords :
"Adaptive systems","Learning systems","Games","Education","Context","Software"
Conference_Titel :
Frontiers in Education Conference (FIE), 2015. 32614 2015. IEEE
Print_ISBN :
978-1-4799-8454-1
DOI :
10.1109/FIE.2015.7344107