Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2010 pages:536-542
World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) edition:2010 location:Orlando, USA date:18 October 2010
In light of developing a new automatic feedback generation algorithm for Computer Assisted Language Learning (CALL), we present in this paper our analysis of the currently used algorithm. As part of the e-learning product EDUMATICTM, it has been used extensively for over six years. The purpose of this study is to analyze the efficiency and uptake of the current feedback and determine whether or not there is need for improvement. For this, we compare the effect of repetition feedback to that of the manually entered feedback of other closed questions.