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      KCI등재 SCOPUS SSCI

      Understanding the adoption of e‐learning in South Korea:Using the extended Technology Acceptance Model approach

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      https://www.riss.kr/link?id=A105989379

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      다국어 초록 (Multilingual Abstract)

      In an era of educational paradigm shifts, adoption of e-learning has been a significant phenomenon in South Korea. This study examines characteristics of instructor, teaching materials, perceived mobility, and perceived connectedness as key independen...

      In an era of educational paradigm shifts, adoption of e-learning has been a significant phenomenon in South Korea. This study examines characteristics of instructor, teaching materials, perceived mobility, and perceived connectedness as key independent factors for intent to use e-learning systems, by way of effects on perceived usefulness and ease of use. Although the psychological factors influencing e-learning adoption are well defined, the framework that accounts for such effects remains ambiguous. The suggestion herein is that intent to use e-learning is related to the user’s motivational factors, a connection that can be explained in terms of the Technology Acceptance Model (TAM). The results indicated that instructor characteristics and perceived mobility were the important factors determining the learners’ perceived ease of use and perceived usefulness. In addition, perceived connectedness is positively related to intention to use e-learning (ITU). This study represents a beginning step to investigate the mechanism of adopting e-learning with result implications and the future directions of study.

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      참고문헌 (Reference)

      1 Shin, D. H., "Why do people play social network games?" 27 (27): 852-861, 2011

      2 Kwon, S. J., "What drives successful social networking services?: A comparative analysis of user acceptance of Facebook and Twitter" 51 (51): 534-544, 2014

      3 Sun, P. C., "What drives a successful e-learning?: An empirical investigation of the critical factors influencing learner satisfaction" 50 (50): 1183-1202, 2008

      4 Olsson, M., "Visualization and gamification of e-learning and programming education" 13 (13): 441-454, 2016

      5 Tabachnick, B. G., "Using multivariate statistics" HarperCollins College Publishers 1996

      6 Park, E., "User’s attitudes toward service robot in South Korea" 40 (40): 77-87, 2013

      7 Venkatesh, V., "User acceptance of information technology: Toward a unified view" 27 (27): 425-478, 2003

      8 Davis, F. D., "User acceptance of computer technology: A comparison of two theoretical models" 35 (35): 982-1003, 1989

      9 Park, E., "Understanding the emergence of wearable devices as next-generation tools for health communication" 29 (29): 717-732, 2016

      10 Roca, J. C., "Understanding e-learning continuance intention in the workplace: A self-determination theory perspective" 24 (24): 1585-1604, 2008

      1 Shin, D. H., "Why do people play social network games?" 27 (27): 852-861, 2011

      2 Kwon, S. J., "What drives successful social networking services?: A comparative analysis of user acceptance of Facebook and Twitter" 51 (51): 534-544, 2014

      3 Sun, P. C., "What drives a successful e-learning?: An empirical investigation of the critical factors influencing learner satisfaction" 50 (50): 1183-1202, 2008

      4 Olsson, M., "Visualization and gamification of e-learning and programming education" 13 (13): 441-454, 2016

      5 Tabachnick, B. G., "Using multivariate statistics" HarperCollins College Publishers 1996

      6 Park, E., "User’s attitudes toward service robot in South Korea" 40 (40): 77-87, 2013

      7 Venkatesh, V., "User acceptance of information technology: Toward a unified view" 27 (27): 425-478, 2003

      8 Davis, F. D., "User acceptance of computer technology: A comparison of two theoretical models" 35 (35): 982-1003, 1989

      9 Park, E., "Understanding the emergence of wearable devices as next-generation tools for health communication" 29 (29): 717-732, 2016

      10 Roca, J. C., "Understanding e-learning continuance intention in the workplace: A self-determination theory perspective" 24 (24): 1585-1604, 2008

      11 Lederer, A. L., "The technology acceptance model and the World Wide Web" 29 (29): 269-282, 2000

      12 Yoo, S. J., "The roles of intrinsic motivators and extrinsic motivators in promoting e-learning in the workplace: A case from South Korea" 28 (28): 942-950, 2012

      13 Leidner, D. E., "The information age confronts education: Case studies on electronic classrooms" 4 (4): 24-54, 1993

      14 Pituch, K., "The influence of system characteristics on e-learning use" 47 (47): 222-244, 2006

      15 Gray, J. A., "The effects of student engagement, student satisfaction, and perceived learning in online learning environments" 11 (11): 1-20, 2016

      16 Means, B., "The effectiveness of online and blended learning: A meta-analysis of the empirical literature" 115 (115): 1-47, 2013

      17 Noesgaard, S. S., "The effectiveness of e-learning: An explorative and integrative review of the definitions, methodologies and factors that promote e-learning effectiveness" 13 (13): 278-290, 2015

      18 Ryan, S., "The effectiveness of blended online learning courses at the community college level" 40 (40): 285-298, 2016

      19 Nowak, K., "The effect of the agency and anthropomorphism on users’ sense of telepresence, copresence, and social presence in virtual environments" 12 (12): 481-494, 2003

      20 Park, E., "The adoption of tele-presence systems: Factors affecting intention to use tele-presence systems" 42 (42): 869-887, 2013

      21 Park, E., "The adoption of teaching assistant robots: A technology acceptance model approach" 50 (50): 354-366, 2016

      22 Browne, M. W., "Testing structural equation models" SAGE 136-162, 1993

      23 Rauniar, R., "Technology acceptance model (TAM) and social media usage: An empirical study on Facebook" 27 (27): 6-30, 2014

      24 Webster, J., "Teaching effectiveness in technology-mediated distance learning" 40 (40): 1282-1309, 1997

      25 Liaw, S. S., "Surveying instructor and learner attitudes toward e-learning" 49 (49): 1066-1080, 2007

      26 Jennings, J. M., "Student engagement: Measuring and enhancing engagement with learning" Universities Academic Audit Unit 2006

      27 Anderson, J. C., "Structural equation modeling in practice: A review and recommended two-step approach" 103 (103): 411-423, 1988

      28 Park, E., "Smart home services as the next mainstream of the ICT industry: Determinants of the adoption of smart home services" 17 (17): 175-190, 2018

      29 Bentler, P. M., "Significance tests and goodness of fit in the analysis of covariance structures" 88 (88): 588-606, 1980

      30 Cho, M., "Should instructors require discussion in online course? Effects of online discussion on community of inquiry, learner time, satisfaction, and achievement" 17 (17): 123-140, 2016

      31 Baxter, J. A., "Roles and student identities in online large course forums:Implications for practice" 15 (15): 20-40, 2014

      32 Beth, A. D., "Responsibility and generativity in online learning communities" 23 (23): 471-484, 2015

      33 Alavi, M., "Research commentary: Technology mediated learning – A call for greater depth and breadth of research" 12 (12): 1-10, 2001

      34 Cantoni, V., "Prospectives and challenges in e-learning:Towards natural interaction paradigms" 15 (15): 333-345, 2004

      35 Barber, W., "Problem based learning and authentic assessment in digital pedagogy: Embracing the role of collaborative communities" 13 (13): 59-67, 2015

      36 Roblyer, M. D., "Predicting the success of virtual high school students: Preliminary results from an educational success prediction instrument" 35 (35): 241-256, 2003

      37 Chen, C. M., "Personalized e-learning system using item response theory" 44 (44): 237-255, 2005

      38 Davis, F. D., "Perceived usefulness, perceived ease of use, and user acceptance of information technology" 13 : 319-340, 1989

      39 Yenisey, M. M., "Perceived security determinants in e-commerce among Turkish university students" 24 (24): 259-274, 2005

      40 Chiappe, A., "Open teaching: A new way on e-learning?" 15 (15): 370-384, 2017

      41 Lancellotti, M., "Online video modules for improvement in student learning" 91 (91): 19-22, 2016

      42 Bagozzi, R. P., "On the evaluation of structural equation models" 16 (16): 74-94, 1988

      43 Roblyer, M. D., "New millennium research for educational technology: A call for a national research agenda" 36 : 60-71, 2003

      44 Hair, J. F., "Multivariate data analysis with readings" Prentice Hall 1998

      45 Hair, J. F., "Multivariate data analysis" Prentice Hall 2006

      46 Shin, D. H., "Modeling the acceptance of socially interactive robotics:Social presence in human-robot interaction" 12 (12): 430-460, 2011

      47 Siau, K., "Mobile communications and mobile services" 1 (1): 3-14, 2003

      48 Lee, B. C., "Learners’ acceptance of e-learning in South Korea:Theories and results" 53 (53): 1320-1329, 2009

      49 Jöreskog, K. G., "LISREL 8: User’s reference guide" Scientific Software International 1996

      50 Keren, G., "Kindergarten social assistive robot for children’s geometric thinking and metacognitive development in preschool education: A pilot study" 35 : 400-412, 2014

      51 Liaw, S. S., "Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system" 51 (51): 864-873, 2008

      52 Liu, S. H., "Impact of media richness and flow on e-learning technology acceptance" 52 (52): 599-607, 2009

      53 Jaggars, S. S., "How do online course design features influence student performance?" 95 : 270-284, 2016

      54 Kelly, T., "Handbook on knowledge management 2: Knowledge directions" Springer 511-532, 2004

      55 Fedynich, L., "Graduate students’ perceptions of online learning" 27 : 1-13, 2015

      56 Guilford, J. P., "Fundamental statistics in psychology and education" McGraw-Hill 1965

      57 Cheng, G., "Exploring the relationships between learning styles, online participation, learning achievement and course satisfaction: An empirical study of a blended learning course" 47 (47): 257-278, 2016

      58 Hu, P. J., "Examining technology acceptance by school teachers:A longitudinal study" 41 (41): 227-241, 2003

      59 Fornell, C., "Evaluating structural equation models with unobservable variables and measurement error" 18 : 39-50, 1981

      60 Muirhead, B., "Encouraging interaction in online classes" 1 (1): 45-50, 2004

      61 Myers, C., "Emerging online learning environments and student learning: An analysis of faculty perceptions" 7 (7): 71-86, 2004

      62 Huang, J. H., "Elucidating user behavior of mobile learning: A perspective of the extended technology acceptance model" 25 (25): 585-598, 2007

      63 Grzybowski, M., "Educational technologies in South Korea" 2013 (2013): 3-9, 2013

      64 Misko, J., "E-learning in Australia and Korea: Learning from practice" National Centre for Vocational Education Research

      65 Lee, S., "Developing mid and long terms plan for e-learning" Korea Research Institute for Vocational Education and Training 2008

      66 Volery, T., "Critical success factors in online education" 14 : 216-223, 2000

      67 Park, E., "Comprehensive approaches to user acceptance of Internet of Things in a smart home environment" 4 (4): 2342-2350, 2017

      68 Littlejohn, A., "Characterising effective e-learning resources" 50 (50): 757-771, 2008

      69 Montrieux, H., "Blending face-to-face higher education with web-based lectures: Comparing different didactical application scenarios" 18 (18): 170-182, 2015

      70 Shin, D. H., "Applying the technology acceptance model and flow theory to Cyworld user behavior: Implication of the web 2.0 user acceptance" 11 (11): 378-382, 2008

      71 Brown, L., "Applying behavioral strategies for student engagement using a robotic educational agent" 4360-4365, 2013

      72 Potter, J., "Applying a hybrid model: Can it enhance student learning outcomes?" 17 : 1-11, 2015

      73 Shin, D. H., "Analysis of online social networks: A cross-national study" 34 (34): 473-495, 2010

      74 Lee, J., "An exploratory study of effective online learning: Assessing satisfaction levels of graduate students of mathematics education associated with human and design factors of an online course" 15 (15): 111-132, 2014

      75 Imamoglu, S. Z., "An empirical analysis concerning the user acceptance of e-learning" 11 (11): 132-137, 2007

      76 Liang, T. P., "Adoption of mobile technology in business: A fit-viability model" 107 (107): 1154-1169, 2007

      77 Engelbrecht, E., "Adapting to changing expectations: Postgraduate students’ experience of an e-learning tax program" 45 (45): 217-229, 2005

      78 Lee, M. K. O., "Acceptance of Internet-based learning medium: The role of extrinsic and intrinsic motivation" 42 (42): 1095-1104, 2005

      79 Fishbein, M., "A theory of reasoned action: Some applications and implications" 27 : 65-116, 1979

      80 Venkatesh, V., "A theoretical extension of the technology acceptance model: Four longitudinal field studies" 46 (46): 186-204, 2000

      81 Davis, F. D., "A technology acceptance model for empirically testing new end-user information systems: Theory and results" Massachusetts Institute of Technology 1986

      82 Engelbrecht, E., "A look at e-learning models: Investigating their value for developing an e-learning strategy" 25 (25): 38-47, 2003

      83 Nortvig, A. M., "A literature review of the factors influencing e-learning and blended learning in relation to learning outcome, student satisfaction and engagement" 16 (16): 46-55, 2018

      84 Dillon, C. L., "A framework for the evaluation of telecommunications-based distance education" Open University 348-351, 1995

      85 Madden, T. J., "A comparison of the theory of planned behavior and the theory of reasoned action" 18 (18): 3-9, 1992

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      학술지등록 한글명 : KEDI Journal of Educational Policy
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