|
Abdous, M. h., & Yen, C.-J. (2010). A predictive study of learner satisfaction and outcomes in face-to-face, satellite broadcast, and live video-streaming learning environments. The Internet and Higher Education, 13(4), 248-257. doi:10.1016/j.iheduc.2010.04.005 Allen, I. E., & Seaman, J. (2014). Grade change: Tracking online education in the United States. Babson Park, MA: Babson Survey Research Group. Alptekin, S. E., & Karsak, E. E. (2011). An integrated decision framework for evaluating and selecting e-learning products. Applied Soft Computing, 11(3), 2990-2998. doi:10.1016/j.asoc.2010.11.023 Arbaugh, J. B. (2000). Virtual classroom characteristics and student satisfaction with Internet-based MBA courses. Journal of Management Education, 24(1), 32-54. doi:10.1177/105256290002400104 Arbaugh, J. B. (2014). System, scholar or students? Which most influences online MBA course effectiveness? Journal of Computer Assisted Learning, 30(4), 349-362. doi:10.1111/jcal.12048 Arbaugh, J. B., & Duray, R. (2002). Technological and structural characteristics, student Learning and satisfaction with web-based courses: An exploratory study of two on-line MBA programs. Management Learning, 33(3), 331-347. doi:10.1177/1350507602333003 Artino, A. R. (2008). Motivational beliefs and perceptions of instructional quality: Predicting satisfaction with online training. Journal of Computer Assisted Learning, 24(3), 260-270. doi:10.1111/j.1365-2729.2007.00258.x Bacon, D. R. (2016). Reporting actual and perceived student learning in education research. Journal of Marketing Education, 38(1), 3-6. doi:10.1177/0273475316636732 Bagozzi, R. R., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. Bailey, M., Ifenthaler, D., Gosper, M., Kretzschmar, M., & Ware, C. (2015). The changing importance of factors influencing students’ choice of study mode. Technology, Knowledge and Learning, 20(2), 169-184. doi:10.1007/s10758-015-9253-9 Ballard, S., Stapleton, J., & Carroll, E. (2004). Students’ perceptions of course web sites used in face-to-face instruction. Journal of Interactive Learning Research, 15(3), 197-211. Bandura, A. (1986). Social foundations of though and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall Inc. Barnard, L., Paton, V., & Lan, W. (2008). Online self-regulatory learning behaviors as a mediator in the relationship between online course perceptions with achievement. The International Review of Research in Open and Distributed Learning, 9(2). Batalla-Busquets, J.-M., & Pacheco-Bernal, C. (2013). On-the-job e-learning : Workers’ attitudes and perceptions. International Review of Research in Open & Distance Learning, 14(1), 41-64. Baumeister, R. F., & Leary, M. R. (1995). The need to belong: Desire for interpersonal attachments as a fundamental human motivation. Psychological Bulletin, 117(3), 497-529. doi:10.1037/0033-2909.117.3.497 Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246. Bernard, R. M., Abrami, P. C., Borokhovski, E., Wade, C. A., Tamim, R. M., Surkes, M. A., & Bethel, E. C. (2009). A meta-analysis of three types of interaction treatments in distance education. Review of Educational Research, 79(3), 1243-1289. Bernard, R. M., Brauer, A., Abrami, P. C., & Surkes, M. (2004). The development of a questionnaire for predicting online learning achievement. Distance Education, 25(1), 31-47. doi:10.1080/0158791042000212440 Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: Guilford. Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 130-159). Newbury Park: Sage Publications. Butz, N. T., & Stupnisky, R. H. (2016). A mixed methods study of graduate students’ self-determined motivation in synchronous hybrid learning environments. The Internet and Higher Education, 28, 85-95. doi: 10.1016/j.iheduc.2015.10.003 Butz, N. T., Stupnisky, R. H., Peterson, E. S., & Majerus, M. M. (2014). Motivation in synchronous hybrid graduate business programs: A self-determination approach to contrasting online and on-campus students. Journal of Online Learning & Teaching, 10(2), 211-227. Buzzetto-More, N. (2015). Student attitudes towards the integration of YouTube in online, hybrid, and web-assisted courses: An examination of the ompact of course modality on perceptions. Journal of Online Learning & Teaching, 11(1), 55-73. Caplan, G. M. (2015). A comparative analysis of student achievement & retention in traditional and online first semester anatomy & physiology courses. (Unpublished doctoral dissertation), Western Kentucky University, Bowling Green, Kentucky. Chandler, B., & Maddux, C. D. (1998). Student use of instructors’ web sites. In S. McNeil, J. D. Price, S. Boger-Mahall, B. Robin, & J. Willis (Eds.), Technology and teacher education annual 1998. Charlottesville, VA: Association for the Advancement of Computing in Education. (ERIC No. ED 421 152). Chen, C. C., & Jones, K. T. (2007). Blended learning vs. traditional classroom settings: Assessing effectiveness and student perceptions in an MBA accounting course. Journal of Educators Online, 4(1), 1-15. Chen, K.-C., & Jang, S.-J. (2010). Motivation in online learning: Testing a model of self-determination theory. Computers in Human Behavior, 26(4), 741-752. doi:10.1016/j.chb.2010.01.011 Chen, S.-C., Yang, S. J. H., & Hsiao, C.-C. (2015). Exploring student perceptions, learning outcome and gender differences in a flipped mathematics course. British Journal of Educational Technology, 47(4). doi:10.1111/bjet.12278 Deci, E. L. (1980). The psychology of self-determination. Lexington, MA: D. C. Heath. Deci, E. L., Koestner, R., & Ryan, R. M. (1999). The undermining effect is a reality after all—extrinsic rewards, task interest, and self-determination: Reply to Eisenberger, Pierce, and Cameron (1999) and Lepper, Henderlong, and Gingras (1999). Psychological Bulletin, 125(6), 692-700. doi:10.1037/0033-2909.125.6.692 Deci, E. L., & Proac, J. (1978). Congitive evaluation theory and the study of human motivation. In M. R. Lepper & D. Greene (Eds.), The hidden costs of reward: New perspectives on the psychology of human motivation (pp. 149-176). Hillsdale, NJ: Erlbaum. Deci, E. L., & Ryan, R. M. (1980). The empirical exploration of intrinsic motivational processes. Advances in Experimental Social Psychology, 13(2), 39-80. Deci, E. L., & Ryan, R. M. (1985). The general causality orientations scale: Self-determination in personality. Journal of Research in Personality, 19(2), 109-134. doi:10.1016/0092-6566(85)90023-6 Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. New York: Plenum. Deci, E. L., & Ryan, R. M. (1987). The support of autonomy and the control of behavior. Journal of Personality and Social Psychology, 53(6), 1024-1037. doi:10.1037/0022-3514.53.6.1024 Deci, E. L., & Ryan, R. M. (2000). The "what" and "why" of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227-268. doi:10.1207/S15327965PLI1104_01 Dennen, V. P., Aubteen Darabi, A., & Smith, L. J. (2007). Instructor–learner interaction in online courses: The relative perceived importance of particular instructor actions on performance and satisfaction. Distance Education, 28(1), 65-79. doi:10.1080/01587910701305319 Duggan, A., Hess, B., Morgan, D., Kim, S., & Wilson, K. (2001). Measuring students’ attitudes toward educational use of the Internet. Journal of Educational Computing Research, 25(3), 267-281. doi:10.2190/GTFB-4D6U-YCAX-UV91 Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109-132. doi:10.1146/annurev.psych.53.100901.135153 Eom, S. B., Wen, H. J., & Ashill, N. (2006). The determinants of students’ perceived learning outcomes and satisfaction in university online education: An empirical investigation. Decision Sciences Journal of Innovative Education, 4(2), 215-235. doi:10.1111/j.1540-4609.2006.00114.x Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research (JMR), 18(1), 39-50. Garrison, D. R., Cleveland-Innes, M., & Fung, T. (2004). Student role adjustment in online communities of inquiry: Model and instrument validation. Journal of Asynchronous Learning Networks, 8(2), 61-74. Garrison, D. R., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. The Internet and Higher Education, 7(2), 95-105. doi:10.1016/j.iheduc.2004.02.001 Giesbers, B., Rienties, B., Tempelaar, D., & Gijselaers, W. (2014). A dynamic analysis of the interplay between asynchronous and synchronous communication in online learning: The impact of motivation. Journal of Computer Assisted Learning, 30(1), 30-50. doi:10.1111/jcal.12020 Graham, C. R. (2006). Blended learning systems: Definition, current trends, and furure directions. In C. J. Bonk & C. R. Graham (Eds.), Handbook of blended learning: Global perspectives, local designs (pp. 3-21). San Francisco, CA: Pfeiffer Publishing. Graham, C. R. (2013). Emerging practice and research in blended learning. In M. J. Moore (Ed.), Handbook of distance education (3rd ed) (pp. 333-350). New York, NY: Routledge. Graham, C. R., Woodfield, W., & Harrison, J. B. (2013). A framework for institutional adoption and implementation of blended learning in higher education. The Internet and Higher Education, 18, 4-14. doi:10.1016/j.iheduc.2012.09.003 Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Prentice Hall. Horzum, M. B., Kaymak, Z. D., & Gungoren, O. C. (2015). Structural equation modeling towards online learning readiness, academic motivations, and perceived learning. Educational Sciences: Theory & Practice, 15(3), 759-770. Hrastinski, S. (2008). What is online learner participation? A literature review. Computers & Education, 51(4), 1755-1765. doi:10.1016/j.compedu.2008.05.005 Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. doi:10.1080/10705519909540118 Hung, M.-L. (2012). A study of the relationship between college-level online learners’ readiness and learning performance. (Unpublished doctoral dissertation), National Chiao Tung University, Hsinchu, Taiwan. Jöreskog, K. G., & Sörbom, D. (1996). LISREL 8: User’s reference guide. Chicago: Scientific Software International. Jaggars, S. S. (2014). Choosing between online and face-to-face courses: Community college student voices. American Journal of Distance Education, 28(1), 27-38. doi:10.1080/08923647.2014.867697 Johnson, R., Stewart, C., & Bachman, C. (2015). What drives students to complete online courses? What drives faculty to teach online? Validating a measure of motivation orientation in university students and faculty. Interactive Learning Environments, 23(4), 528-543. doi:10.1080/10494820.2013.788037 Köse, U. (2010). A blended learning model supported with Web 2.0 technologies. Procedia - Social and Behavioral Sciences, 2(2), 2794-2802. doi:10.1016/j.sbspro.2010.03.417 Kang, M., & Im, T. (2013). Factors of learner–instructor interaction which predict perceived learning outcomes in online learning environment. Journal of Computer Assisted Learning, 29(3), 292-301. doi:10.1111/jcal.12005 Kanwar, A. (2015). The impact of online and distance learning on higher education and training. Retrieved November 14, 2016, from the World Wide Web: https://www.col.org/news/speeches-presentations/impact-online-and-distance-learning-higher-education-and-training Ke, F. (2013). Online interaction arrangements on quality of online interactions performed by diverse learners across disciplines. The Internet and Higher Education, 16(0), 14-22. doi:10.1016/j.iheduc.2012.07.003 Ke, F., & Kwak, D. (2013). Online learning across ethnicity and age: A study on learning interaction participation, perceptions, and learning satisfaction. Computers & Education, 61(0), 43-51. doi:10.1016/j.compedu.2012.09.003 Kim, K.-J., & Frick, T. W. (2011). Changes in student motivation during online learning. Journal of Educational Computing Research, 44(1), 1-23. doi:10.2190/EC.44.1.a King, S. E., & Arnold, K. C. (2012). Blended learning environments in higher education: A case study of how professors make it happen. Mid-Western Educational Researcher, 25(1-2). Kline, B. R. (Ed.) (2011). Principles and practice of structural equation modeling (3rd ed.). New York: The Guilford Press. Kuo, Y.-C. (2014). Accelerated online learning: Perceptions of interaction and learning outcomes among African American students. American Journal of Distance Education, 28(4), 241-252. doi:10.1080/08923647.2014.959334 Kuo, Y.-C., Walker, A. E., Schroder, K. E. E., & Belland, B. R. (2014). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. The Internet and Higher Education, 20(0), 35-50. doi:10.1016/j.iheduc.2013.10.001 La Guardia, J. G., Ryan, R. M., Couchman, C. E., & Deci, E. L. (2000). Within-person variation in security of attachment: A self-determination theory perspective on attachment, need fulfillment, and well-being. Journal of Personality and Social Psychology, 79(3), 367-384. doi:10.1037/0022-3514.79.3.367 Law, K. M. Y., Lee, V. C. S., & Yu, Y. T. (2010). Learning motivation in e-learning facilitated computer programming courses. Computers & Education, 55(1), 218-228. doi: 10.1016/j.compedu.2010.01.007 Lee, Y., Choi, J., & Kim, T. (2013). Discriminating factors between completers of and dropouts from online learning courses. British Journal of Educational Technology, 44(2), 328-337. doi:10.1111/j.1467-8535.2012.01306.x Li, N., Marsh, V., & Rienties, B. (2016). Modelling and managing learner satisfaction: Use of learner feedback to enhance blended and online learning experience. Decision Sciences Journal of Innovative Education, 14(2), 216-242. doi:10.1111/dsji.12096 Liao, P.-W., & Hsieh, J. Y. (2011). What influences Internet-based learning? Social Behavior & Personality: An International Journal, 39(7), 887-896. doi:10.2224/sbp.2011.39.7.887 Liaw, S.-S., Huang, H.-M., & Chen, G.-D. (2007). Surveying instructor and learner attitudes toward e-learning. Computers & Education, 49(4), 1066-1080. doi:10.1016/j.compedu.2006.01.001 Lim, D. H., Morris, M. L., & Kupritz, V. W. (2014). Online vs. blended learning: Differences in instructional outcomes and learner satisfaction. Journal of Asynchronous Learning Networks, 11(2), 27-42. Müller, T. (2008). Persistence of women in online degree-completion programs. International Review of Research in Open and Distance Learning, 9(2). MacCallum, R. (1986). Specification searches in covariance structure modeling. Psychological Bulletin, 100(1), 107-120. doi:10.1037/0033-2909.100.1.107 Marshall, J., Greenberg, H., & Machun, P. A. (2012). How would they choose? Online student preferences for advance course information. Open Learning, 27(3), 249-263. doi:10.1080/02680513.2012.716656 Matzat, U. (2013). Do blended virtual learning communities enhance teachers’ professional development more than purely virtual ones? A large scale empirical comparison. Computers & Education, 60(1), 40-51. doi:10.1016/j.compedu.2012.08.006 Mitchell, P., & Forer, P. (2010). Blended learning: The perceptions of first-year geography students. Journal of Geography in Higher Education, 34(1), 77-89. doi:10.1080/03098260902982484 Moore, J. C. (2002). Elements of quality: The sloan-c framework (Pillar reference manual) (Vol. 3). Needham, MA: Sloan Consortium. Morris, L. V., Finnegan, C., & Wu, S.-S. (2005). Tracking student behavior, persistence, and achievement in online courses. The Internet and Higher Education, 8(3), 221-231. doi: 10.1016/j.iheduc.2005.06.009 Moskal, P., Dziuban, C., & Hartman, J. (2013). Blended learning: A dangerous idea? The Internet and Higher Education, 18, 15-23. doi:10.1016/j.iheduc.2012.12.001 Muthén, B., & Muthén, L. (2010). Mplus user’s guide (6th ed.). Los Angeles, CA: Muthén & Muthén. Niemiec, C. P., Lynch, M. F., Vansteenkiste, M., Bernstein, J., Deci, E. L., & Ryan, R. M. (2006). The antecedents and consequences of autonomous self-regulation for college: A self-determination theory perspective on socialization. Journal of Adolescence, 29(5), 761-775. doi: 10.1016/j.adolescence.2005.11.009 NMC. (2016). NMC Horizon report: 2016 Higher education edition. Retrieved November 14, 2016, from the World Wide Web: http://cdn.nmc.org/media/2016-nmc-horizon-report-he-EN.pdf Osguthorpe, R. T., & Graham, C. R. (2003). Blended learning environments: Definitions and directions. Quarterly Review of Distance Education, 4(3), 227-233. Paechter, M., Maier, B., & Macher, D. (2010). Students’ expectations of, and experiences in e-learning: Their relation to learning achievements and course satisfaction. Computers & Education, 54(1), 222-229. doi:10.1016/j.compedu.2009.08.005 Palfrey, J., & Gasser, U. (2013). Born digital: Understanding the first generation of digital natives. New York, NY: Basic Books. Palmer, S. R., & Holt, D. M. (2009). Examining student satisfaction with wholly online learning. Journal of Computer Assisted Learning, 25(2), 101-113. doi:10.1111/j.1365-2729.2008.00294.x Peterson, C., Maier, S. F., & Seligman, M. E. (1993). Learned helplessness: A theory for the age of personal control. New York: Oxford University Press. Picciano, A. G. (2002). Beyond student perceptions: Issues of interaction, presence, and performance in an online course. Journal of Asynchronous Learning Networkspp, 6, 21-40. Prensky, M. (2001). Digital natives, digital immigrants part 1. On the Horizon, 9(5), 1-6. doi: 10.1108/10748120110424816 Reinhart, J., & Schneider, P. (2001). Student satisfaction, self-efficacy, and the perceptions of the two-way audio/video distance learning environment: A preliminary examination. Quarterly Review of Distance Education, 2(4), 357-365. Rice, R. E., & Aydin, C. (1991). Attitudes toward new organizational technology: Network proximity as a mechanism for social information processing. Administrative Science Quarterly, 36(2), 219-244. doi:10.2307/2393354 Rienties, B. (2014). Understanding academics’ resistance towards (online) student evaluation. Assessment & Evaluation in Higher Education, 39(8), 987-1001. doi:10.1080/02602938.2014.880777 Rigby, C. S., Deci, E. L., Patrick, B. C., & Ryan, R. M. (1992). Beyond the intrinsic-extrinsic dichotomy: Self-determination in motivation and learning. Motivation and Emotion, 16(3), 165-185. doi:10.1007/bf00991650 Roca, J. C., & Gagné, M. (2008). Understanding e-learning continuance intention in the workplace: A self-determination theory perspective. Computers in Human Behavior, 24(4), 1585-1604. doi:10.1016/j.chb.2007.06.001 Ryan, R. M., & Connell, J. P. (1989). Perceived locus of causality and internalization: Examining reasons for acting in two domains. Journal of Personality and Social Psychology, 57(5), 749-761. doi:10.1037/0022-3514.57.5.749 Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68-78. Saadé, R. G., & Kira, D. (2006). The emotional state of technology acceptance. The Journal of Issues in Informing Science and Information Technology, 3, 529-539. Sahin, I., & Shelley, M. (2008). Considering students' perceptions: The distance education student satisfaction model. Journal of Educational Technology & Society, 11(3), 216-223. Sanders, D. W., & Morrison-Shetlar, A. I. (2001). Student attitudes toward web-enhanced instruction in an introductory biology course. Journal of Research on Computing in Education, 33(3), 251-262. doi:10.1080/08886504.2001.10782313 Sanderson, G. (1995). Objectives and evaluation. In S. Truelove (Ed.), Handbook of training and development ( 2nd ed., pp. 113-144). Oxford: Blackwell. Schunk, D. H., Pintrich, P. R., & Meece, J. R. (2010). Motivation in education: Theory, research, and applications. Upper Saddle River, NJ: Pearson Higher Ed. Selim, H. M. (2007). Critical success factors for e-learning acceptance: Confirmatory factor models. Computers & Education, 49(2), 396-413. doi:10.1016/j.compedu.2005.09.004 Selwyn, N. (1997). Students’ attitudes toward computers: Validation of a computer attitude scale for 16–19 education. Computers & Education, 28(1), 35-41. doi:10.1016/S0360-1315(96)00035-8 Shea, P., & Bidjerano, T. (2014). Does online learning impede degree completion? A national study of community college students. Computers & Education, 75, 103-111. doi:10.1016/j.compedu.2014.02.009 Sheldon, K. M., & Elliot, A. J. (1999). Goal striving, need satisfaction, and longitudinal well-being: The self-concordance model. Journal of Personality and Social Psychology, 76(3), 482-497. doi:10.1037/0022-3514.76.3.482 Singh, H., & Reed, C. (2001). A white paper: Achieving success with blended learning. Los Angeles, CA: Centra Software. Sitzmann, T., Ely, K., Brown, K. G., & Bauer, K. N. (2010). Self-assessment of knowledge: A cognitive learning or affective measure? Academy of Management Learning & Education, 9(2), 169-191. Standage, M., Duda, J. L., & Ntoumanis, N. (2006). Students’ motivational processes and their relationship to teacher ratings in school physical education. Research Quarterly for Exercise and Sport, 77(1), 100-110. doi:10.1080/02701367.2006.10599336 Stockwell, B. R., Stockwell, M. S., Cennamo, M., & Jiang, E. (2015). Blended learning improves science education. Cell, 162(5), 933-936. doi:10.1016/j.cell.2015.08.009 Stokes, S. P. (2001). Satisfaction of college students with the digital learning environment: Do learners’ temperaments make a difference? The Internet and Higher Education, 4(1), 31-44. doi:10.1016/S1096-7516(01)00046-X Sun, P.-C., Tsai, R. J., Finger, G., Chen, Y.-Y., & Yeh, D. (2008). What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & Education, 50(4), 1183-1202. doi:10.1016/j.compedu.2006.11.007 Titus, J. J. (2008). Student ratings in a consumerist academy: Leveraging pedagogical control and authority. Sociological Perspectives, 51(2), 397-422. doi:10.1525/sop.2008.51.2.397 Tsai, C.-C., Chuang, S.-C., Liang, J.-C., & Tsai, M.-J. (2011). Self-efficacy in Internet-based learning environments: A literature review. Journal of Educational Technology & Society, 14(4), 222-240. Tsai, C.-C., Lin, S. S. J., & Tsai, M.-J. (2001). Developing an Internet attitude scale for high school students. Computers & Education, 37(1), 41-51. doi:10.1016/S0360-1315(01)00033-1 Vonderwell, S., & Zachariah, S. (2005). Factors that influence participation in online learning. Journal of Research on Technology in Education (International Society for Technology in Education), 38(2), 213-230. Wang, Y.-S. (2003). Assessment of learner satisfaction with asynchronous electronic learning systems. Information & Management, 41(1), 75-86. doi: 10.1016/S0378-7206(03)00028-4 Wei, H.-C., Peng, H., & Chou, C. (2015). Can more interactivity improve learning achievement in an online course? Effects of college students’ perceptions and actual use of a course-management system on their learning achievement. Computers & Education, 83(0), 10-21. doi:10.1016/j.compedu.2014.12.013 Xie, K., Debacker, T. K., & Ferguson, C. (2006). Extending the traditional classroom through online discussion: The role of student motivation. Journal of Educational Computing Research, 34(1), 67-89. doi:10.2190/7bak-egah-3mh1-k7c6 Xu, D., & Jaggars, S. S. (2013). The impact of online learning on students’ course outcomes: Evidence from a large community and technical college system. Economics of Education Review, 37, 46-57. doi:10.1016/j.econedurev.2013.08.001 Yukselturk, E., & Top, E. (2013). Exploring the link among entry characteristics, participation behaviors and course outcomes of online learners: An examination of learner profile using cluster analysis. British Journal of Educational Technology, 44(5), 716-728. doi:10.1111/j.1467-8535.2012.01339.x Zacharis, N. Z. (2011). The effect of learning style on preference for web-based courses and learning outcomes. British Journal of Educational Technology, 42(5), 790-800. doi:10.1111/j.1467-8535.2010.01104.x Zerihun, Z., Beishuizen, J., & Van Os, W. (2012). Student learning experience as indicator of teaching quality. Educational Assessment, Evaluation and Accountability, 24(2), 99-111. doi:10.1007/s11092-011-9140-4
|