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An Empirical Study of Attributes Influencing Smart English Learning

정희정
한국멀티미디어언어교육학회 (Korea Association of Multimedia-Assisted Language Learning)|2017.09|멀티미디어 언어교육 (Multimedia-Assisted Language Learning)|제20권 제3호|pp. 11-32|DOI 10.15702/mall.2017.20.3.11

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참고문헌

키워드

learning performanceassimilationattributeslearning supportssmart English learning
주제분류영어와문학

초록

This study proposes and empirically tests a research model that attempts to explain the reasons for English learners’ achievement of expected performance through the assimilation of smart learning. Particularly, this study focuses on smart English learning attributes (ubiquity, customized learning, shared learning activities, enriched learning contents, and learning flexibility) that have a positive impact on assimilation of smart English learning, which then affects to expected learning performance. Furthermore, this study suggests the moderating effects of two enhancing variables (technical and administrative supports) on the relationship between assimilation and expected performance. A total of 469 responses from smart English learners (university students) were analyzed using AMOS 22.0 to test the proposed hypotheses. Results provide a structural model with a good fit index and evidence supporting causal and enhancing relationships. The contributions and implications of the study are discussed in relation to the future direction of smart English learning.

Abstract

This study proposes and empirically tests a research model that attempts to explain the reasons for English learners’ achievement of expected performance through the assimilation of smart learning. Particularly, this study focuses on smart English learning attributes (ubiquity, customized learning, shared learning activities, enriched learning contents, and learning flexibility) that have a positive impact on assimilation of smart English learning, which then affects to expected learning performance. Furthermore, this study suggests the moderating effects of two enhancing variables (technical and administrative supports) on the relationship between assimilation and expected performance. A total of 469 responses from smart English learners (university students) were analyzed using AMOS 22.0 to test the proposed hypotheses. Results provide a structural model with a good fit index and evidence supporting causal and enhancing relationships. The contributions and implications of the study are discussed in relation to the future direction of smart English learning.

참고문헌 (42)

  1. Beetham, H., "Rethinking pedagogy for a digital age: Designing for 21st century learning" (2013), Routledge
  2. Bender, D., "Teaching time : Distance education versus classroom instruction", American Journal of Distance Education, 18(2), pp.103~114 (2004)
  3. Brett, P., "An investigation into students' use of a computer-based social learning space : Lessons for facilitating collaborative approaches to learning", British Journal of Educational Technology, 36(2), pp.281~292 (2005)
  4. Chin, W. W., "Modern methods for business research", pp.295~236 (1998), Lawrence Erlbaum Associate
  5. DeLone, W. H., "The DeLone and McLean model of information systems success : a ten-year update", Journal of Management Information Systems, 19(4), pp.9~30 (2003)
  6. Edmunds, R., "Student attitudes towards and use of ICT in course study, work and social activity : A technology acceptance model approach", British Journal of Educational Technology, 43(1), pp.71~84 (2012)
  7. Figge, S., "Situation-dependent service : a challenger for mobile network operators", Journal of Business Research, 57(1), pp.1416~1422 (2004)
  8. Goodhue, D., "Understanding the linkage between user evaluations of systems and the underlying systems", Management Science, 41, pp.1827~1844 (1995)
  9. Helmi, A., "An analysis on impetus of online education", The Internet and Higher Education, 4(3), pp.243~253 (2002)
  10. Hwang, G. J., "A context-aware ubiquitous learning environment for conducting complex science experiments", Computers and Education, 53(2), pp.402~413 (2009)
  11. 정명기, "An Analysis of Learner Interaction in Smart English Education", 멀티미디어 언어교육, 16(4), pp.39~65 (2013), 한국멀티미디어언어교육학회
  12. 정명기, "Effects of Smart Reading in the Elementary English Classroom", International Journal of Contents, 10(2), pp.59~66 (2014), 한국콘텐츠학회[DOI]
  13. 정희정, "영어학습에서 스마트러닝 사용의도에 미치는 변인들", 언어학, 21(3), pp.301~317 (2013), 대한언어학회
  14. Jung, H. J., "Ubiquitous learning : Determinant impacting learner' satisfaction and performance with smartphones", Language Learning & Technology, 18(3), pp.97~119 (2014)
  15. 정희정, "Effects of Mobile-Learning Attributes on Satisfaction and Performance in EFL Education and the Moderating Effect of Learning Supports", 영어영문학21, 27(4), pp.509~525 (2014), 21세기영어영문학회
  16. Jung. H. J., "Fostering an English teaching environment : Factors influencing English as a foreign language teacher' adoption of mobile learning", Informatics in Education, 14(2), pp.219~241 (2015)
  17. 정희정, "Factors Impacting Learners Satisfaction and Continued Use of E-Learning in an EFL Context", 멀티미디어 언어교육, 19(2), pp.11~33 (2016), 한국멀티미디어언어교육학회[DOI]
  18. 강정화, "스마트러닝 활성화를 위한 SNS활용 방안 연구", 디지털융복합연구, 9(5), pp.265~274 (2011), 한국디지털정책학회
  19. 고윤승, "스마트 러닝의 현황과 해외시장 진입에 관한 연구", 한국과학예술포럼, 10, pp.1~14 (2012), 한국전시산업융합연구원
  20. Kolb, D. A., "Experiential learning: Experience as the source of learning and development" (2014), FT press
  21. Kukulska-Hulme, A., "Will mobile learning change language learning?", ReCALL, 21(2), pp.157~165 (2009)
  22. Kukulska-Hulme, A., "Innovation in mobile learning : A european perspective", International Journal of Mobile and Blended Learning, 1(1), pp.13~35 (2009)
  23. Kwon, H. I., "The framework of the smart learning infrastructure in South Korea – Focus on agriculture education system", Free and Open Source Software Conference (FOSSC-13), pp.18~19 (2013)
  24. Li, B., "Development and validation of the smart classroom inventory", Smart Learning Environments, 2(3), pp.1~18 (2015)
  25. Liu, Y., "Factors driving the adoption of m-learning : An empirical study", Computers & Education, 55, pp.1211~1219 (2010)
  26. 노규성, "스마트러닝의 개념 및 구현 조건에 관한 탐색적 연구", 디지털융복합연구, 9(2), pp.79~88 (2011), 한국디지털정책학회
  27. 오희숙, "A Case Study of Elementary School Underachievers’ SMART Vocabulary Learning Experiences", 멀티미디어 언어교육, 16(2), pp.71~92 (2013), 한국멀티미디어언어교육학회
  28. 박현선, "기업 간 클라우드 컴퓨팅 동화 및 성과에 영향을 미치는 기술 및 환경 요인과 신뢰의 조절효과에 관한 연구", 한국IT서비스학회지, 13(3), pp.1~23 (2014), 한국IT서비스학회[DOI]
  29. Petrova, K., "Mobile learning as a mobile business application", International Journal of Innovation and Learning, 4(1), pp.1~13 (2007)
  30. Pollara, P., "Student perceptions of mobile learning: a review of current research", The Proceedings of Society for Information Technology & Teacher Education international Conference, pp.1643~1650 (2011), AACE
  31. Pookulangara, S., "Cultural influence on consumers’ usage of social networks and its’ impact on online purchase intentions", Journal of Retailing and Consumer Services, 18, pp.348~354 (2011)
  32. Ranganthan, C., "Assimilation and diffusion of web technologies in supply-chain management : an examination of key drivers and performance impacts", International Journal of Electronic Commerce, 9(1), pp.127~161 (2004)
  33. Sharples, M., "Big issues in mobile learning", workshop by the Kaleidoscope Network of Excellence Mobile Learning Initiative (2006)
  34. Sharples, M., "Book chapter to appear in Technology Enhanced Learning: Principles and Products" (2008), Kaleidoscope Legacy Book
  35. Teo, T., "Understanding pre-service teachers’ computer attitudes:Applying and extending the Technology Acceptance Model (TAM)", Journal of Computer Assisted Learning, 24(2), pp.128~143 (2008)
  36. Teo, T., "Intrinsic and extrinsic motivation in internet usage", Omega, International Journal of Management Science, 2(1), pp.25~37 (1999)
  37. Traxler, J., "Learning in a mobile age", International Journal of Mobile and Blended Learning, 1(1), pp.1~12 (2009)
  38. Tornatzky, L., "Innovation characteristics and innovation adoption-implementation : a meta-analysis of findings", IEEE Transactions on Engineering Management, 29(1), pp.28~45 (1982)
  39. Vlachos, P. A., "Determinants of behavioral intentions in the mobile internet services market", Journal of Services Marketing, 22(4), pp.280~291 (2008)
  40. Volery, T., "Critical success factors in online education", International Journal of Educational Management, 14(5), pp.216~223 (2000)
  41. Wixom, B. H., "An empirical investigation of the factors affecting data warehousing success", MIS Quarterly, 25(1), pp.17~38 (2001)
  42. Yusup, N. B., "The influence of parents support and its relationship with students achievement in English education", International Conference on Education and Regional Development (ICERD) (2016)

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Effects of Mobile-Learning Attributes on Satisfaction and Performance in EFL Education and the Moderating Effect of Learning Supports정희정21세기영어영문학회 · 영어영문학212014 · 제27권 제4호영어학습에서 스마트러닝 사용의도에 미치는 변인들정희정사단법인 한국언어학회 · 언어학2013 · 제21권 제3호Technology Attributes Stimulating Learner Behaviors and Outcomes of Language Learning정희정팬코리아영어교육학회 · 영어교육연구2019 · 제31권 제3호Evaluating Smart English Classroom Environments from the Student Satisfaction정희정한국멀티미디어언어교육학회 · 멀티미디어 언어교육2019 · 제22권 제4호Performance in Smart Language Learning Environments: Based on Social Cognitive Theory Framework정희정21세기영어영문학회 · 영어영문학212017 · 제30권 제4호유비쿼터스 학습환경과 학습매체 특성이 영어학습자의 지각된 상호작용성과 학습성과에 미치는 영향정희정팬코리아영어교육학회 · 영어교육연구2012 · 제24권 제1호

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