Computer Assisted Language Learning and Speaking Proficiency of Second Language Learners

Abstract

This study determined the speaking proficiency of L2 learners undergoing a computer assisted language learning program in Southern Christian College in school year 2015-2016. It specifically aimed to find the weighted study score and speech recognition score of the students in the Job Enabling English Proficiency(JEEP) or DynEd class to identify their speaking proficiency and to determine whether their scores in JEEP Start are significantly related to their speaking proficiency. Fifty students were identified to participate through the lottery method. Their scores in the JEEP Start were summarized through descriptive statistical tools like percentage, frequency count, and mean; and their speaking proficiency was classified and encoded in a spreadsheet. The relationship between their scores and speaking proficiency was determined through regression analysis. Results revealed that the majority of the students had excellent WSS, and more than halfof them had high speech recognition performance and were competent speakers of English. Further, the study found that speech recognition was a significant predictor of the students' speaking proficiency. Based on the results, the researcher concluded that CALL is an excellent approach for L2 learners to enhance theirspeaking proficiency.