Adaptive Feedback Message Generation for Second Language Learners of Arabic

This paper addresses issues related to generating feedback messages to errors related to Arabic verbs made by second language learners (SLLs). The proposed approach allows for individualization. When a SLL of Arabic writes a wrong verb, it performs analysis of the input and distinguishes between different lexical error types. The proposed system issues the intelligent feedback that conforms to the learner’s proficiency level for each class of error. The proposed system has been effectively evaluated using real test data and achieved satisfactory results.