Aeronautics Students’ TOEIC Learning through an AI-centered English Course
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초록
This study empirically tests the impact of artificial intelligence (AI) on TOEIC learning among 487 university students from a university Faculty of Aeronautics. The study tries to find an effective way of utilizing an AI-centered English course to develop aeronautics students’ listening and reading ability. For 15 weeks, the participants took a 2-hour weekly course through their own computers or mobile devices. During the class hours, the participants engaged in the English course by studying the TOEIC with AI. In order to examine whether there was an increase in their TOEIC scores, pre- and post-tests were administered before and after the treatment. Data gathered by the TOEIC pre- and post-tests were analyzed by descriptive statistics and paired samples t-tests. The major findings demonstrate that AI can positively affect aeronautics students’ English listening skill. However, their scores decreased on the reading test. There was a statistically significant drop in the mean score from the reading pre-test to the post-test. Based on these findings, limitations and suggestions for the future study are made.
Abstract
This study empirically tests the impact of artificial intelligence (AI) on TOEIC learning among 487 university students from a university Faculty of Aeronautics. The study tries to find an effective way of utilizing an AI-centered English course to develop aeronautics students’ listening and reading ability. For 15 weeks, the participants took a 2-hour weekly course through their own computers or mobile devices. During the class hours, the participants engaged in the English course by studying the TOEIC with AI. In order to examine whether there was an increase in their TOEIC scores, pre- and post-tests were administered before and after the treatment. Data gathered by the TOEIC pre- and post-tests were analyzed by descriptive statistics and paired samples t-tests. The major findings demonstrate that AI can positively affect aeronautics students’ English listening skill. However, their scores decreased on the reading test. There was a statistically significant drop in the mean score from the reading pre-test to the post-test. Based on these findings, limitations and suggestions for the future study are made.
참고문헌 (34)
- "TOEIC preparation and exam"[URL]
- Alderson, J. C., "Air safety, language assessment policy, and policy implementation : The case of aviation English", Annual Review of Applied Linguistics, 29, pp.168~187 (2009)[DOI]
- Anderson, P., "Taking the TOEIC 1: Skill and strategies" (2017), Compass Publishing
- Bani-Salameh, Z. A., "Utilizing multimedia ESP programme in enhancing flight attendants’ safety knowledge and problem solving skills", British Journal of Educational Technology, 42(6), pp.1003~1015 (2011)[DOI]
- Carrell, P. L., "Interactive approaches to second language reading" (2000), Cambridge University Press
- Choi, Y. S., "A study on current situations and developmental suggestions of airline service departments of colleges and universities", Journal of Culture and Tourism Research, 16(2), pp.101~111 (2014)
- Deshpande, S. K., "Activating background knowledge : An effective strategy to develop reading comprehension skills", Journal of English Language Teaching and Linguistics, 1(3), pp.191~202 (2016)[DOI]
- Doss, B. D., "Investigating treatment mediators when simple random assignment to a control group is not possible", Clinical Psychology : Science and Practice, 13(4), pp.321~336 (2006)[DOI]
- "What’s new about the new TOEIC test?" (2007)[URL]
- "Sample test for the updated version of the TOEIC® Listening and Reading Test"[URL]
- Fryer, L., "Bots as language learning tools", Language Learning & Technology, 10(3), pp.8~14 (2006)
- 한다은, "Needs Analysis of ESP Courses for Pre-service Flight Attendants", 현대영어교육, 20(3), pp.91~103 (2019), 현대영어교육학회[DOI]
- Hayashi, K., "Intelligent speaker is watching you: Alleviation of L2 learners’ social anxiety", CALL for widening participation: Short papers from EUROCALL 2020, pp.88~95 (2020), Research-publishing.net
- Hidayat, R., "A needs analysis in learning English for airline staffprogram", English Education Journal, 9(4), pp.589~613 (2018)
- Hong, Z. W., "Authoring robot-assisted instructional materials for improving learning performance and motivation in EFL classrooms", Journal of Educational Technology &Society, 19(1), pp.337~349 (2016)
- Huang, W., "Chatbots for language learning : Are they really useful? A systematic review of chatbot‐supported language learning", Journal of Computer Assisted Learning, 38(1), pp.237~257 (2022)[DOI]
- Jia, J., "A case study of AI application on language instruction: CSIEC", Proceedings of the 20th Innovative Applications of Artificial Intelligence Conference 2008, pp.1624~1631 (2008), AAAI Press
- 스튜어트존스, "The Effect of the Fourth Industrial Revolution on General English Education - A Case Study of Native English Instructors’ Perceptions at a Korean University", 교양교육연구, 12(2), pp.169~197 (2018), 한국교양교육학회
- 김혜숙, "A Study on the Use of AI-based Learning Programs by EFL Students with Different Types of Teacher Support", 영어학, 22, pp.355~376 (2022), 한국영어학회[DOI]
- Kim, J. E., "A study for ESP education for airline-service majoring students : Needs analysis and job analysis", Information, 20(11), pp.7923~7930 (2017)
- 김나영, "Effects of Mobile Phone Use on Aviation Students' English Learning", 한국산학기술학회논문지, 20(5), pp.213~221 (2019), 한국산학기술학회[DOI]
- 김나영, "Future English Learning: Chatbots and Artificial Intelligence", 멀티미디어 언어교육, 22(3), pp.32~53 (2019), 한국멀티미디어언어교육학회[DOI]
- Kimura, M., "WorldCALL: International perspectives on computer-assisted language learning", pp.38~54 (2010), Routledge
- Kusumaningrum, M. A. D., "An intelligent tutoring system for learning listening TOEIC", Jurnal Berdaya Mandiri, 3(1), pp.456~467 (2021)[DOI]
- Loh, H., "Recommendation for effective standardized exam preparation", Paper presented at the LAK21: 11th International Learning Analytics and Knowledge Conference (2021)
- Obari, H., "Improving the English skills of native Japanese using artificial intelligence in a blended learning program", CALL and complexity: Short papers from EUROCALL 2019, pp.327~333 (2019), Researchpublishing.net
- Obari, H., "The impact of using AI and VR with blended learning on English as a foreign language teaching", CALL for widening participation: Short papers from EUROCALL 2020, pp.253~258 (2020), Research-publishing.net
- Pei-shi, W., "The effect of background knowledge on EFL learners’ reading comprehension", Sino-US English Teaching, 9(9), pp.1516~1523 (2012)
- Shishido, M., "Evaluating e-learning system for English conversation practice with speech recognition and future development using AI", Proceedings of EdMedia + Innovate Learning, pp.213~218 (2019), Association for the Advancement of Computing in Education (AACE)
- Sirikanjanawong, N., "Relationship between the ICAO language proficiency requirements(LPRs)and test of English for international communication(TOEIC)scores of flight attendants in Thailand", LEARN Journal : Language Education and Acquisition Research Network, 11(1), pp.64~86 (2018)
- Woolf, B. P., "Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning" (2009), Morgan Kaufmann Publishers
- Xu, Y., "Same benefits, different communication patterns : Comparing children’s reading with a conversational agent vs. a human partner", Computers & Education, 161, pp.104059~ (2021)[DOI]
- 양혜진, "Development and Application of AI Chatbot for Cabin Crews", 영어학, 21, pp.1085~1104 (2021), 한국영어학회[DOI]
- Yao, D., "A comparative study of test takers’ performance on computer-based test and paper-based test across different CEFR levels", English Language Teaching, 13(1), pp.124~133 (2020)[DOI]
