期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：81
期号：3
出版社：Journal of Theoretical and Applied
摘要：In the field of education, the evaluation of learning is one of the most important operations through the learning process. The evaluation concern arises in a more enhanced way in online learning environment given the significant reduction in direct contact of the tutor with the learners. In this paper, we address the specific problem of educational assessment of reading/writing competencies acquisition in amazigh language, based on the interactions of learners with an assessment test which consists of different items and served in a LMS platform. An online model based on artificial intelligence techniques, specifically multi-input�multi-output adaptive neuro-fuzzy inference System noted also CANFIS for co-active ANFIS, is proposed. The training and testing data, generated from the study of the curricula and the referential framework, are presented to the designed system for the optimization of inference engine parameters. Results of training and testing the system show an acceptable accuracy of learning.
