Computer Assisted Language Learning and Speaking Proficiency of Second Language Learners

Abstract

This study determined the speaking proficiency of L2 learners undergoing acomputer assisted language learning program in Southern Christian College inschool year 2015-2016. It specifically aimed to find the weighted study score andspeech recognition score of the students in the Job Enabling English Proficiency(JEEP) or DynEd class to identify their speaking proficiency and to determinewhether their scores in JEEP Start are significantly related to their speakingproficiency. Fifty students were identified to participate through the lottery method.Their scores in the JEEP Start were summarized through descriptive statisticaltools like percentage, frequency count, and mean; and their speaking proficiencywas classified and encoded in a spreadsheet. The relationship between their scoresand speaking proficiency was determined through regression analysis. Resultsrevealed that the majority of the students had excellent WSS, and more than halfof them had high speech recognition performance and were competent speakersof English. Further, the study found that speech recognition was a significantpredictor of the students’ speaking proficiency. Based on the results, the researcherconcluded that CALL is an excellent approach for L2 learners to enhance theirspeaking proficiency.