• Journal of the Korea Convergence Society
• /
• v.7 no.2
• /
• pp.25-31
• /
• 2016

In the study, a convergence model of a mobile-based English speaking test was developed. Based on the needs analysis from Korean college students, a speaking test App for iOS and Android mobile devices was developed and its test validity was examined. To develop the test, test items, scoring features and scales were developed. The result of the needs analysis survey showed that 69 out of 87 (79.3%) owned Android phones whereas only 17 (19.5%) held iPhones. Based on the result, an English speaking test App was developed. The technologies used for the test included HTML5, the Javasciript bridge technology, Node and Express, and Mongo DB. In the experiment, five examinees took the test. The test validity was obtained in that all the functions of the test were successfully operated and some feedback was gathered.

• Cross-Cultural Studies
• /
• v.48
• /
• pp.223-252
• /
• 2017

This study explores effects of two types of chatbots - voice-based and text-based - on Korean EFL learners' speaking competence and learner perception. Participants were 80 freshmen students taking an English-speaking class at a university in Korea. They were divided into two experimental groups at random. During the sixteen-week experimental period, participants engaged in 10 chat sessions with the two different types of chatbots. To take a close examination of effects on the improvement of speaking competence, they took the TOEIC speaking test as pre- and post-tests. Structured questionnaire-based surveys were conducted before and after treatment to determine if there are changes in perception. Findings reveal two chatbots effectively contribute to improvement of speaking competence among EFL learners. Particularly, the voice-based chatbot was as effective as the text-based chatbot. An analysis of survey results indicates perception of chatbot-assisted language learning changed positively over time. In particular, most participants preferred voice-based chatbot over text-based chatbot. This study provides insight on the use of chatbots in EFL learning, suggesting that EFL teachers should integrate chatbot technology in their classrooms.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.3
• /
• pp.537-543
• /
• 2016

This paper suggests a class model to improve the English oral proficiency for intermediate low English speaking learners. Utilizing the four English skills (reading, writing, listening and speaking), the class model focuses on the learners' schema and discussion strategies. To enhance the learners' motivation and match their cognitive capacity, 10 discussion topics were prepared by surveying the learners. A pilot experiment was conducted to investigate the teaching effects of the discussion class model with 26 college students majoring in English in Seoul. The participants' oral proficiency was measured both before, and after the instructions by OPIc (Oral Proficiency Interview in computer). As a result of the experiment, the percentage of participants whose oral proficiency levels were lower than intermediate mid decreased from 82% to 47%. In addition, the percentage of participants with higher oral proficiency than intermediate low was increased dramatically from 18% to 53%, which supports the claim that through discussion, the class learners' diverse and creative ideas need to be expressed in a formal and intelligible language. Finally, through the findings of the study, the possibility of a discussion class can be expected, regardless of the learners' low level of oral proficiency.

• Phonetics and Speech Sciences
• /
• v.14 no.3
• /
• pp.41-49
• /
• 2022

The average acoustic distribution of American English speakers was statistically compared with the English-speaking patterns of gifted students in a Science Academy in Korea. By analyzing speech recordings, the duration time of which is much longer than in previous studies, this research identified the degree of acoustic proximity between the two parties and the predictability of English academic achievement of gifted high school students. Long-term spectral acoustic power distribution vectors were obtained for 2,048 center frequencies in the range of 20 Hz to 20,000 Hz by applying an long-term average speech spectrum (LTASS) MATLAB code. Three more variables were statistically compared to discover additional indices that can predict future English academic achievement: the receptive vocabulary size test, the cumulative vocabulary scores of English formative assessment, and the English Speaking Proficiency Test scores. Linear regression and correlational analyses between the four variables showed that the receptive vocabulary size test and the low-frequency vocabulary formative assessments which require both lexical and domain-specific science background knowledge are relatively more significant variables than a basic suprasegmental level English fluency in the predictability of gifted students' academic achievement.