:::

詳目顯示

回上一頁
題名:探討接受行動學習的前因及其在年齡及性別上的差異
作者:王秀媛
作者(外文):Hsiu-Yuan Wang
校院名稱:國立彰化師範大學
系所名稱:商業教育學系
指導教授:吳明政
學位類別:博士
出版日期:2008
主題關鍵詞:行動學習性別差異年齡差異科技接受與使用之統合理論Mobile learninggender differenceage differenceUTAUTtechnology adoption
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(1) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:1
  • 共同引用共同引用:0
  • 點閱點閱:1
隨著行動電腦科技的蓬勃發展,行動學習(m-learning)亦將會在快速成長的數位學習環境市場中,扮演一重要的角色。所謂的行動學習是指透過使用無線網路及行動裝置,讓學習者能在任何時間、任何地點進行學習的活動,然而,行動學習能否被使用者接受,對它能否被廣泛推展具有關鍵性的影響,因此,有必要去探究有那些因子會影響使用者採用行動學習的意願,所以,本研究的目的是,採用綜整自8個科技使用模式所得出的科技接受與使用之統合理論(UTAUT)作為理論的基礎,企圖探究有那些因子會影響使用者採用行動學習的意願,同時,亦一併探討年齡、性別差異對使用者接受行動學習的影響。研究對象主要是來自台灣數個不同組織的330樣本,本研究使用驗證性的因素分析來測試與分析提出的研究模式;研究結果顯示〝績效預期〞、〝努力預期〞、〝社會影響〞、〝感知上的好玩〞、〝學習上的自我管理〞等5個因子顯著影響使用者採用行動學習的意願,另外,年齡的差異在〝努力預期〞、〝社會影響〞兩個因子對行動學習使用意願的影響上有調節的效果,性別的差異對於〝社會影響〞、〝學習上的自我管理〞兩個因子對行動學習使用意願影響上有顯著調節的效果,文章中將討論這些研究發現,相信無論對學術上、企業界有關瞭解行動學習的接受方面,均有具體重要的貢獻。
With the proliferation of mobile computing technology, mobile learning (m-learning) will play a vital role in the rapidly growing electronic learning market. M-learning is the delivery of learning to students anytime and anywhere through the use of the wireless Internet and mobile devices. However, acceptance of m-learning by individuals is critical to the successful implementation of m-learning systems. Thus, there is a need to research the factors that affect user intention to use m-learning. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) which integrates elements across eight models of IT use, the objective of this study was to investigate the determinants of m-learning acceptance and to discover if there exists either age or gender differences in the acceptance of m-learning, or both. Data collected from 330 respondents in Taiwan were tested against the research model using the structural equation modeling approach. The results indicate that that performance expectancy, effort expectancy, social influence, perceived playfulness, and self-management of learning were all significant determinants of behavioral intention to use m-learning. We also found that age differences moderate the effects of effort expectancy and social influence on m-learning use intention, and that gender differences moderate the effects of social influence and self-management of learning on m-learning use intention. These findings provide several important implications for m-learning acceptance, in terms of both research and practice.
Agarwal, R. & Karahanna, E. (2000). Time flies when you’re having fun: cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24, 4 , 665-694.
Agarwal, R. & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9, 2, 204-215.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 2, 179-211.
Armitage, J.A. & Christian, J. (2003). From attitude to behaviour: Basic and applied research on the Theory of Planned Behaviour. Current Psychology: Developmental, Learning, Personality, Social, 22, 3, 187-195.
Bandura, A. (1986). Social foundations of thought and action: a social cognitive theory. Prentice Hall, Englewood Cliffs, NJ.
Barnett, L.A. (1990). Playfulness: definition, design, and measurement. Play and Culture, 3, 4, 319-336.
Barnett, L.A. (1991). The playful child: measurement of a disposition to play. Play and Culture, 4, 1, 51-74.
Bauman, Z. (2003). Liquid love: on the frailty of human bonds. Cambridge, UK: Polity Press.
Beck, A.T. (1983). Cognitive therapy of depression: new perspectives. In P.J. Clayton & J.E. Barrett (Eds.), Treatment of depression: old controversies and new Approaches (pp. 265-290). New York: Raven Press.
Billipp, S.H. (2001). The psychosocial impact of interactive computer use within a vulnerable elderly population: a report on a randomized prospective trial in home health care setting. Public Health Nursing, 18, 2, 138-145.
Brown, A. & Campione, J. (1996). Psychological theory and design of innovative learning environments: on procedures, principles, and systems. In L. Schauble & R. Glaser (Eds.), Innovations in learning: new environments for education (pp. 289-325). Mahwah, NJ: Erlbaum.
Brown, K. (2001). Using computers to deliver training: Which employees learn and why? Personnel Psychology, 54, 2, 271-296.
Chen, G.D., Chang, C.K. & Wang, C.Y. (2008). Ubiquitous learning website: Scaffold learners by mobile devices with information-aware techniques. Computers & Education, 50, 1, 77-90.
Chung, J. & Tan, F.B. (2004). Antecedents of perceived playfulness: an exploratory study on user acceptance of general information-searching websites. Information & Management, 41, 7, 869-881.
Cmuk, D. (2007). Optimization of m-learning and e-learning methods in metrology education. Retrieved September 3, 2007 from http://www.fer.hr/_download/repository/Cmuk_kvalifikacijski.pdf.
Compeau, D.R. & Higgins, C.A. (1995) Computer self-efficacy: development of a measure and initial test. MIS Quarterly, 19, 2, 189-211.
Compeau, D.R., Higgins, C.A. & Huff, S. (1999) Social cognitive theory and individual reactions to computing technology: a longitudinal study. MIS Quarterly, 23, 2, 145-158.
Concannon, F., Flynn, A. & Campbell, M. (2005). What campus-based students think about the quality and benefits of e-learning. British Journal of Educational Technology, 36, 3, 501-512.
Csikszentimihalyi, M. (1975). Beyond boredom and anxiety. JosseyBass, San Francisco.
Czaja, S.J. & Lee, C.C. (2001). The Internet and older adults: Designs challenges and opportunities. In N. Charness & D.C. Parks (Eds.), Communication, and aging: opportunities and challenges for the future (pp. 60-78). New York: Springer.
Davies, J. & Graff, M. (2005). Performance in e-learning: online participation and student grades. British Journal of Educational Technology, 36, 4, 657-663.
Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 3, 319-339.
Davis, F.D., Bagozzi, R.P. & Warshaw, P.R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22, 14, 1111-1132.
Davis, L.D., Bagozzi, R.P. & Warshaw, P.R. (1989) User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35, 8, 982-1002.
DeOllos, I. & Morris, D.C. (1999). The Internet as an information resource for older adults. Journal of Educational Technology Systems, 28, 2, 107-120.
Durndell, A. & Thomson, K. (1997). Gender and computing: a decade of change? Computers and Education, 28, 1, 1-9.
Eldridge, M. & Grinter, R. (2001). Studying text messaging in teenagers. Proceedings of the Conference on Human Factors in Computing Systems (CHI), Seattle, USA. Retrieved December 25, 2007 from http://www.cs.colorado.edu/~palen/chi_workshop/papers/EldridgeGrinter.pdf
Ellis, R.D. & Allaire, J. (1999). Modeling computer interest in older adults: the role of age, education, computer knowledge, and computer anxiety. Human Factors, 41, 3, 345-355.
Evans, T. (2000). Flexible delivery and flexible learning: developing flexible learners? In V. Jakupec & J. Garrick (Eds.), Flexible learning, human resource and organizational development (pp. 211-224). London: Routledge.
Fishbein, M. & Ajzen, I. (1975). Belief, attitude, intention and behavior: an introduction to theory and research. Addison-Wesley, Reading, MA.
Fornell, C. & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 1, 39-50.
Gentry, L. & Cantalone, R. (2002). A comparison of three models to explain shop-bot use on the web. Psychology and Marketing, 19, 11, 945-955.
Govindasamy, T. (2002). Successful implementation of e-learning pedagogical considerations. The Internet and Higher Education, 4, 3-4, 287-299.
Green, K.C. (2000). Technology and instruction: compelling, competing, and complementary visions for the instructional role of technology in higher education. Retrieved November 11, 2006 from http://www.campuscomputing.net/archive/papers/ tech_ and_instruction.pdf.
Gunasekaran, A., McNeil, R.D. & Shaul, D. (2002). E-learning: research and applications. Industrial and Commercial Training, 34, 2, 44-53.
Hair, J. T., Anderson, R. E., Tatham, R. L. & Black, W. C. (1992). Multivariate data analysis with readings, 3rd ed. New York: Macmillan.
Harrison, D.A., Mykytyn, P.P. & Riemenschneider, C.K. (1997). Executive decisions about adoption of information technology in small business: theory and empirical tests. Information Systems Research, 8, 2, 171-195.
Harun, M.H. (2002). Integrating e-learning into the workplace. The Internet and Higher Education, 4, 3-4, 301-310.
Henry, P. (2001). E-learning technology, content and services. Education + Training, 43, 4, 249-255.
Ichinohe, A. & Suzuki, K. (2002). Expansion of the i-mode drill ‘The world of Kanji’ with review functions for m-learning. Proceedings of the International Conference on Computers in Education (ICCE 2002), Auckland, New Zealand. Retrieved December 31, 2007 from http://www.computer.org/proceedings/icce/1509/15091472.pdf
Igbaria, M., Parasuraman, S. & Baroudi, J.J. (1996). A motivational model of microcomputer usage. Journal of Management Information Systems, 13, 1, 127-143.
Igbaria, M., Schiffman, S.J. & Wieckowshi, T.S. (1994). The respective roles of perceived usefulness and perceived fun in the acceptance of microcomputer technology. Behavior and Information Technology, 13, 6, 349-361.
Ismail, J. (2002). The design of an e-learning system beyond the Hype. Internet and Higher Education, 4, 3-4, 329-336.
Jones, S. (2002). The Internet goes to college: how students are living in the future with today’s technology. Pew Internet and American Life Project, Sept. Retrieved October 20, 2007 from http://www.pewinternet.org.
Kiili, K. (2005). Digital game-based learning: towards an experiential gaming model. The Internet and Higher Education, 8, 1, 13-24.
Kossen, J.S. (2001) When e-learning becomes m-learning. Retrieved December 31, 2007 from http://www.palmpowerenterprise.com/issues/issue200106/elearning001.html.
Liebermain, J.N. (1977). Playfulness: its relationship to imagination and creativity. Academic Press, New York.
Lin, C.S., Wu, S. & Tsai, R.J. (2005). Integrating perceived playfulness into expectation- confirmation model for web portal context. Information & Management, 42, 5, 683-693.
Ling, R. & Yttri, B. (1999). Nobody sits at home and waits for the telephone to ring: micro and hyper-coordination through the use of the mobile telephone. Oslo: Telnor research and development.
Little, B. (2001). Achieving high performance through e-learning. Industrial and Commercial Training, 33, 203-207.
Luarn, P. & Lin, H.H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21, 6, 873-891.
Marquie, J.C., Jourdan-Boddaert, L. & Huet, N. (2002). Do older adults underestimate their actual computer knowledge? Behavior and Information Technology, 21, 4, 273-281.
Masie, E. (2002). Mobile and untethered learning. E-learning, November/December, 3, 10, 6-6.
Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2, 3, 173-191.
McVay, M. (2000). Developing a web-based distance student orientation to enhance student success in an online bachelor’s degree completion program. Unpublished practicum report presented to the Ed.D. Program, Nova Southeastern University, Florida.
McVay, M. (2001). How to be a successful distance learning: reflections on the experience of study. London: Kogan Page.
Meyen, E.L., Aust, A., Gauch, J.M., Hinton, H.S., Isaacson, R.E., Smith, S.J., & Tee, M.Y. (2002). E-Learning: A Programmatic Research Construct for the Future. Journal of Special Education Technology, 17, 3, 37-46.
Miller, J.B. (1976). Toward a new psychology of women. Beacon Press, Boston.
Mitra, A., LaFrance, B. & McCullough, S. (2001). Differences in attitudes between women and men toward computerization. Journal of Educational Computing Research, 25, 3, 227-244.
Mitra, A., Lenzmeier, S., Steffensmeier, T., Avon, R., Qu, N., & Hazen, M. (2000). Gender and computer use in an academic institution: report from a longitudinal study. Journal of Educational Computing Research, 23, 1, 67-84.
Moon, J. & Kim, Y. (2001). Extending the TAM for a world-wide-web context. Information & Management, 38, 4, 217-230.
Moore, G.C. & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2, 3, 192-222.
Morris, M.G. & Venkatesh, V. (2000). Age differences in technology adoption decisions: Implications for a changing workforce. Personnel Psychology, 53, 2, 375-403.
Motiwalla, L.F. (2007). Mobile learning: a framework and evaluation. Computers & Education, 49, 581-596.
Mwanza, D. & Engeström, Y. (2005). Managing content in e-learning environments. British Journal of Educational Technology, 36, 3, 453-463.
Pask, G. (1975). Minds and media in education and entertainment: Some theoretical comments illustrated by the design and operation of a system for exteriorizing and manipulating individual theses. In R.Trappl & G. Pask (Eds.), Progress in cybernetics and system research (Vol. 4, pp. 38-50). Washington and London: Hemisphere.
Pearson, J.M., Crosby, L., Bahmanziari, T. & Conrad, E. (2003). An empirical investigation into the relationship between organizational culture and computer efficacy as moderated by age and gender. Journal of Computer Information Systems, 43, 2, 58-70.
Pedersen, P.E. & Ling, R. (2003) Modifying adoption research for mobile Internet service adoption: cross-disciplinary interactions. Proceedings of the 36th Hawaii International Conference on System Sciences (HICSS-36), Big Island, Hawaii, January 6-9, IEEE Computer Society Press, Los Alamitos.
Pituch, K.A. & Lee, Y.-K. (2006). The influence of system characteristics on e-learning use. Computers & Education, 47, 2, 222-244.
Prensky, M. (2005). What can you learn from a cell phone? Almost anything. Journal of Online Education, 1(5). Retrieved December 31, 2007 from http://www.innovateonline.info/index.php?view=article&id=83
Rainer, R.K., Laosethakul, K. & Astone, M. (2003). Are gender perceptions of computing changing over time? Journal of Computer Information Systems, 43, 4, 108-114.
Ravenscroft, A. & Matheson, M.P. (2002). Developing and evaluating dialogue games for collaborative e-learning. Journal of Computer Assisted Learning, 18, 1, 93-101.
Rogers, E. (1983). Diffusion of Innovations, (3rd Ed.). Free Press, New York.
Rogers, E. (1995). Diffusion of innovations. Free Press, New York.
Rogers, E. (2003). Diffusion of Innovations (5th Ed.). Free Press, New York.
Sadler-Smith, E. & Riding, R. (1999). Cognitive style and instructional preferences. Instructional Science, 27, 355-371.
Savill-Smith, C.A. & Kent, P. (2003). The use of palmtop computers for learning: a review of the literature. Learning and Skills Development Agency. Retrieved January 8, 2008 from http://www.mlearning. org/docs/the_use_of_palmtop_computers_for_learning_ sept03.pdf
Sazen, H. (2007). An ear for learning. E.learning Age, Dec 2006/Jan 2007, 18-19.
Scott, C.R. & Rockwell, S.C. (1997). The effect of communication, writing and technology apprehension on likelihood to use new communication technologies. Communication Education, 46, 44-62.
Selim, H.M. (2007). Critical success factors for e-learning acceptance: Confirmatory factor models. Computers & Education, 49, 2, 396-413.
Sheppard, B.H., Hartwick, J., and Warshaw, P.R. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15, 3, 325-343.
Siau, K., Lim, E.-P. & Shen, Z. (2001). Mobile commerce: promises, challenges, and research agenda. Journal of Database Management, 12, 3, 4-13.
Smith, P.J. (2000). Preparedness for flexible delivery among vocational learners. Distance Education, 21, 1, 29-48.
Smith, P.J. (2001). Learners and their workplaces: towards a strategic model of flexible delivery of training in the workplace. Journal of Vocational Education and Training, 53, 4, 609-628.
Smith, P.J., Murphy, K.L. & Mahoney, S.E. (2003). Towards identifying factors underlying readiness for online learning: an exploratory study. Distance Education, 24, 1, 57-67.
Sun, H. & Zhang, P. (2006). The role of moderating factors in user technology acceptance. International Journal of Human Computer Studies, 64, 2, 53-78.
Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42, 1, 85-92.
Taylor, A.S. & Harper, R. (2002). Age-old practices in the 'New World': a study of gift-giving between teenage mobile phone users. Proceedings of the Conference on Human Factors in Computing Systems (CHI), Minneapolis, USA.
Taylor, S. & Todd, P.A. (1995a). Assessing IT Usage: the role of prior experience. MIS Quarterly, 19, 2, 561-570.
Taylor, S. & Todd, P.A. (1995b). Understanding information technology usage: a test of competing models. Information Systems Research, 6, 4, 144-176.
Thompson, R.L., Higgins, C.A. & Howell, J.M. (1991). Personal computing: toward a conceptual model of utilization. MIS Quarterly, 15, 1, 124-143.
Townsend, A.M. (2000). Life in the real-time city: Mobile telephones and urban metabolism. Journal of Urban Technology, 7(2), 85–104.
Triandis, H.C. (1977). Interpersonal behavior. Brooke/Cole, Monterey, CA.
Urdan, T.A. & Weggen, C.C. (2000). Corporate e-learning: Exploring a new frontier. WR Hambrecht + Co.
Vallerand, R.J. (1997). Toward a hierarchical model of intrinsic and extrinsic motivation. In M. Zanna (Ed.), Advances in experimental social psychology (29) (pp. 271-360). Academic Press, New York.
Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28, 4, 695-704.
Venkatesh, V. (1999). Creating favorable user perceptions: exploring the role of intrinsic motivation. MIS Quarterly, 23, 2, 239-260.
Venkatesh, V. (2000). Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11, 4, 342-365.
Venkatesh, V. & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 45, 2, 186-204.
Venkatesh, V. & Morris, M.G. (2000). Why don’t men ever stop to ask for directions? gender, social influences, and their role in technology acceptance and usage behavior. MIS Quarterly, 24, 1, 115-139.
Venkatesh, V., Morris, M.G. & Ackerman, P.L. (2000). A longitudinal field investigation of gender differences in individual technology adoption decision making processes. Organizational Behavior and Human Decision Processes, 83, 1, 33-60.
Venkatesh, V., Morris, M.G., Davis, G.B. & Davis, F.D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27, 3, 425-478.
Virvou, M. & Alepis, E. (2005). Mobile educational features in authoring tools for personalised tutoring. Computers & Education, 44, 1, 53-68.
Wang, Y.-S. (2003). Assessment of learner satisfaction with asynchronous electronic learning systems. Information & Management, 41, 1, 75-86.
Warner, D., Christie, G. & Choy, S. (1998). The readiness of the VET sector for flexible delivery including on-line learning. Brisbane: Australian National Training Authority.
Webster, J. & Martocchio, J.J. (1992). Microcomputer playfulness: development of a measure with workplace implications. MIS Quarterly, 16, 2, 201-226.
Wentling, T.L., Waight, C., Gallaher, J., Fleur, J.L., Wang, C. & Kanfer, A. (2000). E-learning – A review of literature. Retrieved January 7, 2008, from http://learning.ncsa.uiuc.edu/papers/elearnlit.pdf
Wessels, A., Fries, S., Horz, H., Scheele, H. & Effelsberg, W. (2007). Interactive lectures: Effective teaching and learning in lectures using wireless networks. Computers in Human Behavior, 23, 5, 2524-2537.
White, J. & Weatherall, A. (2000). A grounded theory analysis of older adults and information technology. Educational Gerontology, 26, 4, 371-387.
Whitely, B.E. Jr. (1997). Gender differences in computer related attitudes and behavior: a meta analysis. Computers in Human Behavior, 13, 1, 1-22.
Woszczynski, A.B., Roth, P.L. & Segars, A.H. (2002). Exploring the theoretical foundations of playfulness in computer interactions. Computers in Human Behavior, 18, 4, 369–388.
Zhang, D. (2002). Media structuration—Towards an integrated approach to interactive multimedia-based e-Learning. Ph.D. dissertation. The University of Arizona.
Zhang, D. & Nunamaker, J.F. (2003). Powering e-Learning in the new millennium: An overview of e-Learning and enabling technology. Information Systems Frontiers, 5, 2, 207-218.
Zhang, D. & Zhou, L. (2003). Enhacing e-Learning with interactive multimedia. Information Resources Management Journal, 16, 4, 1-14.
Zhu, E. & Kaplan, M. (2002). Technology and teaching. In W.J. McKeachie (Ed.), McKeachie’s teaching tips: strategies, research, and theory for college and university teachers (pp. 204-224). Boston: Houghton Mifflin Company.
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
QR Code
QRCODE