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Download Complete Issue in PDF - Educational Technology & Society

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Kim, H. S. (2008). The effects of the 3th grader’s CSQ3Rs learn<strong>in</strong>g strategy tra<strong>in</strong><strong>in</strong>g on the acquisition of self-regulated learn<strong>in</strong>g<br />

skills and academic achievement. Korean Journal of <strong>Educational</strong> Psychology, 22(2), 385-403.<br />

Kim, N. Y. (2009). The structural relationship among academic motivation, program, organizational support, <strong>in</strong>teraction, flow<br />

and learn<strong>in</strong>g outcome <strong>in</strong> cyber education. (Unpublished doctoral dissertation). Ewha Womans University, Seoul, Korea.<br />

Kim, J., & Lee, K. M. (2008). The effect of mar<strong>in</strong>e sports participant's participation motivation on cognitive, behavioral<br />

commitment, and cont<strong>in</strong>uous participat<strong>in</strong>g <strong>in</strong>tention. Journal of sport and leisure studies, 33(2), 1219-1230.<br />

Kim, J. H. (2003). Structural analysis of factors affect<strong>in</strong>g the participants' learn<strong>in</strong>g flow <strong>in</strong> adult learn<strong>in</strong>g programs.<br />

(Unpublished doctoral dissertation). Seoul National University, Seoul, Korea.<br />

Kim, J. S. (2009). The structural relationship between presence and the effectiveness of e-learn<strong>in</strong>g <strong>in</strong> the corporate sett<strong>in</strong>g.<br />

(Unpublished doctoral dissertation). Ewha Womans University, Seoul, Korea.<br />

Kim, S. W. (2006). The effect of perceived usefulness and perceived ease of use on learner flow <strong>in</strong> e-Learn<strong>in</strong>g community.<br />

Journal of the Korea <strong>Society</strong> of Computer and Information, 11(6), 87-97.<br />

Kim, S. W., & Oh, S. U. (2005). An analysis on the effects of technology acceptance and performance by learner's self-efficacy <strong>in</strong><br />

the e-Learn<strong>in</strong>g system. The Journal of Korean <strong>Society</strong> for Learn<strong>in</strong>g and Performance, 7(1), 27-50.<br />

Kishton, J. M., & Widamn, K. F. (1994). Unidimensional versus doma<strong>in</strong> representative parcel<strong>in</strong>g of questionnaire items: An<br />

empirical example. <strong>Educational</strong> and Psychological Measurement, 54, 757-765.<br />

Kl<strong>in</strong>e, R.B. (2005). Pr<strong>in</strong>ciples and practice of structural equation model<strong>in</strong>g (2nd ed.). New York, NY: The Guilford Press.<br />

Mat<strong>in</strong>, A. J., & Jackson, S. A. (2008). Brief approaches to assess<strong>in</strong>g task absorption and enhanced subjective experience:<br />

Exam<strong>in</strong><strong>in</strong>g 'short' and 'core' flow <strong>in</strong> diverse performance doma<strong>in</strong>s. Motivation and Emotion, 32(3), 141-157.<br />

Noh, M. J., Lee, W. B., & Chung, K. S. (2008). Factors affect<strong>in</strong>g the cont<strong>in</strong>uous use <strong>in</strong>tention of e-learn<strong>in</strong>g site. Journal of<br />

Vocational Education & Tra<strong>in</strong><strong>in</strong>g, 11(3), 237-261.<br />

Riva, G. (2006). Be<strong>in</strong>g-<strong>in</strong>-the-world-with: presence meets social and cognitive neuroscience. Communication to presence:<br />

cognition, emotions and culture towards the ultimate communicative experience. Amsterdam, Netherlands: IOS Press.<br />

Roca, J. C., Chiu, C. M., & Mart<strong>in</strong>ez, F. J. (2006). Understand<strong>in</strong>g e-learn<strong>in</strong>g cont<strong>in</strong>uance <strong>in</strong>tention: An extension of the<br />

<strong>Technology</strong> Acceptance Model. Human-Computer Studies, 64(8), 683-696.<br />

Sass, D. A., & Smith, P. L. (2006). The effects of parcel<strong>in</strong>g unidimensional scales on structural parameter estimates <strong>in</strong> structural<br />

equation model<strong>in</strong>g, Structural Equation Model<strong>in</strong>g, 13(4), 566–586.<br />

Sh<strong>in</strong>, N. (2003). Transactional presence as critical predictor of success <strong>in</strong> distance learn<strong>in</strong>g. Distance Education, 24(1), 48-58.<br />

Sh<strong>in</strong>, N. (2006). Onl<strong>in</strong>e learner’s ‘flow’ experience: An empirical study. British Journal of <strong>Educational</strong> <strong>Technology</strong>, 37(5), 705-<br />

720.<br />

Thomas, S. L. (2000). Ties that bl<strong>in</strong>d: A social network approach to understand<strong>in</strong>g student <strong>in</strong>tegration and persistence. The<br />

Journal of Higher Education, 71(5), 591-615.<br />

Park, S. I., & Kim, Y. K. (2006). An <strong>in</strong>quiry on the relationships among learn<strong>in</strong>g–flow factors, flow level, achievement under onl<strong>in</strong>e<br />

learn<strong>in</strong>g environment. The Journal of Open Education, 14(1), 93–115.<br />

Wang, M. J., & Kang, M. (2006). Cybergogy for engaged learn<strong>in</strong>g: A framework for creat<strong>in</strong>g learner engagement through<br />

<strong>in</strong>formation and communication technology. In M. S. Kh<strong>in</strong>e (Ed.), Engaged learn<strong>in</strong>g with emerg<strong>in</strong>g technologies (pp. 225-253).<br />

New York, NY: Spr<strong>in</strong>ger.<br />

Willg<strong>in</strong>g, P. A., & Johnson, S. D. (2004). Factors that <strong>in</strong>fluence students’ decision to dropout of onl<strong>in</strong>e courses. Journal of<br />

Asynchronous Learn<strong>in</strong>g Networks, 8(4), 105-118.<br />

Witmer, B. G., & S<strong>in</strong>ger. M. J. (1998). Measur<strong>in</strong>g presence <strong>in</strong> virtual environments: A presence questionnaire. MIT Press Journal,<br />

7(3), 225-240.<br />

Wu, D., & Hiltz, S. R. (2004). Predict<strong>in</strong>g learn<strong>in</strong>g from asynchronous onl<strong>in</strong>e discussions. Journal of Asynchronous Learn<strong>in</strong>g<br />

Networks, 8(2), 139-152.<br />

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