Browse > Article
http://dx.doi.org/10.9723/jksiis.2011.16.5.093

A Study on the Factors Affecting Smart Learning -Focusing on the Moderating Effect of Learning Time-  

Shin, Ho-Kyun (금오공과대학교 경영학과)
Kim, Young-Ae (금오공과대학교 경영학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.16, no.5, 2011 , pp. 93-105 More about this Journal
Abstract
This study was performed to figure out the effects of perceived usefulness and ease of use in Technology Acceptance Model(TAM) affecting acceptance attitude and intention to use in smart learning. In addition, the study recognized the need for differentiation of learning time by analyzing the difference of effects influencing acceptance attitude of perceived usefulness and ease of use during learning time, which is at the beginning, midterm, and at the end of the term. As the results of the study, it showed that there were differences between the factors, the learning time of which was considered, affecting acceptance attitude and intention to use. Furthermore, in order to improve the effectiveness of building a smart campus, which is currently under the construction, the study argued that universities need to consider the learning relevance and subjective norm as important factors in perceived usefulness of smart learning. Finally, the need for the design of various smart learning types became accepted considering learning time.
Keywords
Smart Learning; TAM; Acceptance Attitude; Intention to Use; Learning Time;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 남민우, "대학생 모바일 러닝 사용의도와 관련요인 구조방정식 모델", 건국대학교 대학원 박사학위논문, 2010.
2 노규성, "스마트러닝의 개념 및 구현조건에 관한 탐색적 연구", 디지털정책연구, 제9권, 제2호, pp.79-88, 2011.
3 노규성, 주성환, "스마트 캠퍼스 모델에 관한 탐색적 연구", 디지털정책연구, 제9권, 제3호, pp.181-190, 2011.
4 양유정, 박병호, 염의수, "m-learning 활용의도에 영향을 미치는 요인에 관한 연구", 교육정보미디어연구, 제11권, 제1호, pp.147-165, 2005.
5 유일, 황준하, "학습자의 원격교육시스템 이용의도와 성과에 대한 원격교육 자기효능감의 역할", 경영정보학연구, 제12권, 제3호, pp.45-70, 2002.
6 유정아, 한선관, "U-러닝 환경에서의 통합적 수업전략 연구", 정보교육학회논문지, 제13권, 제2호, pp.127-134, 2009.
7 임현주, 김승재, "U-러닝을 활용한 초등체육 예비 교사교육에서 교수자․학습자의 상호작용 성격과 역할이해", 한국초등체육학회지, 제17권, 제2호, pp.67-79, 2011.
8 지식경제부, 정보통신진흥원, (2009)이러닝 산업실태조사, 2010.
9 정의석, 죽어 있는 e-러닝, 살아 있는 e-러닝, 월간디지털콘텐츠, 2005.
10 정희정, "영어 학습에서 모바일 러닝(Mobile-Learning) 수용의도에 영향을 미치는 요인", 영어영문학21, 제22권, 제2호, pp.235-255, 2009.
11 조대제, 홍명우, "USN 도입을 통한 유비쿼터스학교 망 설계와 상황 기반 u-러닝 서비스 구현",한국정보기술학회지, 제8권, 제1호, pp.79-63, 2010.
12 최혁라, "모바일 특성하에서 모바일 인터넷 사용의도에 영향을 미치는 요인에 관한 연구", 산업경제연구, 제17권, 제4호, pp.1399-1420, 2004.
13 한국교육학술정보원, 미래교육을 위한 u-러닝 교수학습 모델 연구, 2005.
14 Aaker, J. L., "Dimensions of Brand Personality", Journal of Marketing Research, Vol. 34, No. 3, pp.347-356, 1997.   DOI   ScienceOn
15 Ajzen, I. & Fishbein, M., Understanding Attitudes and Predicting Social Behavior, Englewood Cliffs, NJ: Prentice-Hall, 1980.
16 Attewell, P., Lavin, D., domina, T. & Levey, T., "New Dvidence on College Remediation", The Journal of Higher Education, Vol. 77, No. 5, pp.886-924, 2006   DOI
17 Bandura A., "Reflections on Self-Efficacy", Advances in Behavioral Research And Therapy, Vol. 1, pp.237-269, 1978.   DOI
18 Davis, F. D., "A Technology Acceptance Model for Empirically Testing New End-User Information System: Theory and Results", Doctoral Dissertation, Sloan School of Management, Massachusetts Institute of Technology, 1986.
19 Davis, F. D., "Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology", MIS Quarterly, Vol. 13, No. 9, pp.319-340, 1989.   DOI
20 Fishbein, M. & Ajzen, I., Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley, 1975.
21 Gefen, D., Karahanna, E. & Straub, D., "Trust and TAM in Online Shopping: An Integrated Model", MIS Quarterly, Vol. 27, No. 1, pp.51-90, 2003   DOI
22 Hair, J. F., Anderson, R. E., Tatham, R. L. & Black, W. C., Multivariate Data Analysis with Readings, 5th ed., Prentice Hall, 1998.
23 Keenan, A. P. & lee, Y. K., "The Influence of System Characteristics on e-Learning Use", Computer & Education, Vol. 47, No. 3, pp.222-244, 2006.   DOI
24 Mike S., Dan C. & Oliver W., "The Design and Implementation of a Mobile Learning Resource", Personal Ubiquitous Computer, Vol. 6, No. 3, pp.220-234, 2002.   DOI   ScienceOn
25 Park, S. Y., "An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning", Educational Technology & Society, Vol. 12, No. 3, pp.150-162, 2009.
26 Sushil, K. S. & Fred, L. K., "Web Service Architecture for M-Learning", Electronic Journal on e-Learning, Vol. 2, pp.203-216, 2004
27 Taylor, S., & Todd, P., "Assessing It usage: The role of prior Experience", MIS Quarterly, Vol. 19, No. 4, pp.561-570, 1995.   DOI   ScienceOn
28 Teresa, L. J., Wathanaporn, S. & Minh, D. N., "On the Success Factors of Mobile Learning", Proceedings of the 5th International Conference on ICT and Higher Education Knowledge Management 2007, 2007.
29 Venkatesh, V., & Davis, F. D., "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies", Management Science, Vol. 46, No. 2, pp.186-204, 2000.   DOI   ScienceOn
30 Wilson, B. & Ryder, M., "Dynamic Learning Communities: An Alternative to Designed Instructional Systems", Association for Educational Communications and Technology, Vol. 18, pp.800-809, 1996.