Attitude and Students’ Performance in Computer Assisted English Language Learning (CAELL) for Learning Vocabulary

AbstractLearner performance is an important source of data for evaluating Computer Assisted Language Learning (CALL) programs and the factor that has the most influence on language-learning outcomes is a positive attitude. Therefore, the relationship between attitudes toward Computer Assisted English Language Learning (CAELL) and their performance on the English language vocabulary were investigated in this study. The attitudes of 30 Iranian postgraduate students in a Malaysian university toward CAELL were assessed via questionnaires and the effects of CALL on their performance were assessed by using vocabulary tests. The data gathered from the vocabulary tests were quantitatively analyzed using the Statistical Packag e for the Social Sciences (SPSS). The results showed that participants possessed positive attitudes towards Computer Assisted English Language Learning (CAELL) and their attitudes and performance were found to be positively related. The present study will provide valuable insight on the implications for integrating computers into the design of EF L course