English with AI: A new era of TOEIC learning for students majoring in airline services
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
The current study examines whether AI-assisted TOEIC learning program positively affects TOEIC scores of students majoring in airline services. The study focuses on how the effectiveness of AI technology differs by gender and proficiency. The experiment was conducted during the 2020 academic year. The participants were 119 EFL students from three intact classes at a university in Korea. For the study, the participants studied English through AI-assisted TOEIC learning technology called Soljam for the experimental period of 10 weeks. Before the treatment, all participants took a pre-test based on TOEIC and assigned to three different proficiency groups: Basic, Elementary, and Elementary Plus. After the treatment, all the participants took a post-TOEIC test. Major findings are as follows: First, AI technology positively affected the students’ TOEIC scores at a significance level of .05. Second, students’ improvement in TOEIC scores significantly differed by gender. However, statistically significant difference was not found regarding proficiency levels. There was no significant interaction effect of gender and proficiency. The findings of this study will shed light on the educational value of AI technology to promote language skills of Korean airline service students.
Abstract
The current study examines whether AI-assisted TOEIC learning program positively affects TOEIC scores of students majoring in airline services. The study focuses on how the effectiveness of AI technology differs by gender and proficiency. The experiment was conducted during the 2020 academic year. The participants were 119 EFL students from three intact classes at a university in Korea. For the study, the participants studied English through AI-assisted TOEIC learning technology called Soljam for the experimental period of 10 weeks. Before the treatment, all participants took a pre-test based on TOEIC and assigned to three different proficiency groups: Basic, Elementary, and Elementary Plus. After the treatment, all the participants took a post-TOEIC test. Major findings are as follows: First, AI technology positively affected the students’ TOEIC scores at a significance level of .05. Second, students’ improvement in TOEIC scores significantly differed by gender. However, statistically significant difference was not found regarding proficiency levels. There was no significant interaction effect of gender and proficiency. The findings of this study will shed light on the educational value of AI technology to promote language skills of Korean airline service students.
참고문헌 (53)
- Alderson, Charles, "Air safety, language assessment policy, and policy implementation : The case of aviation English", Annual Review of Applied Linguistics, 29, pp.168~187 (2009)
- Babayiğit, Selma, "The dimensions of written expression : Language group and gender differences", Learning and Instruction, 35, pp.33~41 (2015)
- Bani‐Salameh, Zakaria A., "Utilising multimedia ESP programme in enhancing flight attendants’ safety knowledge and problem solving skills", British Journal of Educational Technology, 42(6), pp.1003~1015 (2011)
- Bernat, Eva, "Exploring the gender effect on EFL learners’ beliefs about language learning", Australian Journal of Educational & Developmental Psychology, 7, pp.79~91 (2007)
- Choi, Yong-Son, "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)
- Gu, Yongqi, "Gender, academic major, and vocabulary learning strategies of Chinese EFL learners", RELC Journal, 33(1), pp.35~54 (2002)
- 한다은, "Needs Analysis of ESP Courses for Pre-service Flight Attendants", 현대영어교육, 20(3), pp.91~103 (2019), 현대영어교육학회[DOI]
- Hayashi, Kotaro, "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, Rahmat, "A needs analysis in learning English for airline staffprogram", English Education Journal, 9(4), pp.589~613 (2018)
- Hirai, Michihiro, "Correlations between active skill and passive skill test scores", Shiken, 6(3), pp.2~8 (2002)
- Hirai, Michihiro, "A general overview of English tests administered in Japan", Shiken, 21(1), pp.12~22 (2017)
- Hsieh, Jun Scott Chen, "Technological acceptance of LINE in flipped EFL oral training", Computers in Human Behavior, 70, pp.178~190 (2017)
- Hsu, Liwei, "Exploring variables of hospitality and tourism students’ English communicative ability in Taiwan: An structural equation modeling approach", International Journal of English and Education, 3(3), pp.114~126 (2014)
- Huang, Yun-Yin, "Student engagement in long-term collaborative EFL storytelling activities: An analysis of learners with English proficiency differences", Journal of Educational Technology & Society, 20(3), pp.95~109 (2017)
- 임희주, "항공서비스 관련학과 영어교과과정 개발을 위한 요구분석: A 대학 사례분석", 현대영어영문학, 59(4), pp.363~385 (2015), 한국현대영어영문학회
- Jin, Ji-Eun, "ESP education for flight attendants", Asia-Pacific Journal of Education, 2(1), pp.105~110 (2017)
- 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
- 강동호, "한국 대학생의 영어 학습동기에서 성별 차이점", 영어학, 15(2), pp.305~325 (2015), 한국영어학회[DOI]
- Kepuska, Veton, "Next-generation of virtual personal assistants (microsoft cortana, apple siri, amazon alexa and google home)", 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), pp.99~103 (2018), IEEE
- Kim, Byungsoo, "AI-driven interface design for intelligent tutoring system improves student engagement", Woodstock ’18: ACM Symposium on Neural Gaze Detection, pp.1~15 (2020), ACM
- Hea-Suk Kim, "Effects of AI Chatbots on EFL Students’ Communication Skills", 영어학, 21, pp.712~734 (2021), 한국영어학회[DOI]
- Kim, Ji-Eun, "A study for ESP education for airline-service majoring students: Needs analysis and job analysis", International Information Institute (Tokyo), Information, 20(11), pp.7923~7930 (2017)
- 김정렬, "The effects of input", output enhanced instructions on vocabulary and grammar gains in blended learning, 2019, pp.36, 107~122[DOI]
- 김나영, "Effects of Gender Difference on English Learning with Technology", 한국산학기술학회논문지, 20(8), pp.403~416 (2019), 한국산학기술학회[DOI]
- 김나영, "The effects of the use of captions on low- and high-level EFL learners’ speaking performance", 언어연구, 37, pp.135~161 (2020), 언어정보연구소[DOI]
- Kimura, Midori, "WorldCALL: International perspective on Computer-Assisted Language Learning", pp.38~54 (2011), Routledge
- 고명희, "A University English Reading Program Evaluation: A First-Step for Improvement", 응용언어학, 27(1), pp.245~282 (2011), 한국응용언어학회
- 고영아, "Practical Implications for EFL Students’ Foreign Language Anxiety in Relation with Gender and Teachers (NEST and NNEST)", 인문사회 21, 9(6), pp.471~486 (2018), 인문사회 21[DOI]
- Kusumaningrum, Maria Asumpta Deny, "An intelligent tutoring system for learning listening TOEIC", Jurnal Berdaya Mandiri, 3(1), pp.456~467 (2021)
- Liu, Leping, "Factors influencing students' preference to online learning: Development of an initial propensity model", International Journal of Technology in Teaching & Learning, 7(2), pp.93~108 (2011)
- Loh, Hyunbin, "Recommendation for effective standardized exam preparation", LAK21: 11th International Learning Analytics and Knowledge Conference, pp.397~404 (2021)
- Mathew, Priya, "An Arab EFL context: Does variance in anxiety and motivation across gender impact language attainment?", Studies in Literature and Language, 6(3), pp.14~22 (2013)
- Mason, Beniko, "Can second language acquirers reach high levels of proficiency through self-selected reading? An attempt to confirm Nation’s (2014) results", International Journal of Foreign Language Teaching, 10(2), pp.10~19 (2014)
- 민지유, "Self-Perceived English Competence, Self-Esteem, and Interpersonal Relations in Cabin Crew Personnel", 영어어문교육, 19(4), pp.121~139 (2013), 한국영어어문교육학회
- Motallebzadeh, Khalil, "Does gender play a role in the assessment of oral proficiency?", English Language Teaching, 4(4), pp.165~172 (2011)
- Obari, Hiroyuki, "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), Research-publishing.net
- Obari, Hiroyuki, "The impact of AI on teaching EFL in Japan", The Aoyama Journal of Economics, 71(4), pp.29~40 (2020)
- Obari, Hiroyuki, "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
- Park, Jun-Eon, "Korean EFL learners’ vocabulary learning strategies", English Teaching, 56(4), pp.3~30 (2001)
- Richard, Jack C., "Curriculum development in language teaching" (2001), Cambridge University Press
- Roblyer, Margaret D., "Integrating educational technology into teaching", pp.2007, Pearson
- Shishido, Makoto, "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, Narasak, "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)
- Sittattrakul, Jitrapa, "Instructors’ code-switching in ESP classrooms for Thai aviation students: Functions and benefits", Kasem Bundit Journal, 19, pp.401~409 (2018)
- Artificial intelligence and life in 2030: The one hundred year study on artificial intelligence, "Stone, Peter", Stanford University, ~ (2016)
- 성기완, "A Study on Military Cadets’ Curricular Satisfaction, Their Needs for ESP, and the Future Use of English", 현대영어교육, 17(1), pp.89~115 (2016), 현대영어교육학회
- Trew, Grant, "Tactics for TOEIC® listening and reading test" (2007), Oxford University Press
- Troussas, Christos, "Integrating an adjusted conversational agent into a mobile-assisted language learning application", 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), pp.1153~1157 (2017)
- Woolf, Beverly Park, "Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning" (2009), Morgan Kaufmann
- Xiaoqin, Liu, "Towards an integrated approach to cabin service English curriculum design: A case study of China southern airlines’ cabin service English training course", Higher Education Studies, 6(2), pp.30~38 (2016)
- 양혜진, "Development and Application of AI Chatbot for Cabin Crews", 영어학, 21, pp.1085~1104 (2021), 한국영어학회[DOI]
- 윤서영, "Student Readiness for AI Instruction: Perspectives on AI in University EFL Classrooms", 멀티미디어 언어교육, 22(4), pp.134~160 (2019), 한국멀티미디어언어교육학회[DOI]
- Zoghi, Masoud, "The effect of gender on language learning", Journal of Novel Applied Sciences, 2(4), pp.1124~1128 (2013)
