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A preliminary Exploration of Operating Models of Second Cycle/Research Led Open Education Involving Industry Collaboration

online at 19. Siemens, G. (2012b). What is the theory that underpins our MOOCs? In ELEARNSPACE. Available online at 20. Yuan, L. and Powell, S. (2013). MOOCs and Open Education: Implications for Higher Education. JISC CETIS. Available online at

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MOOCS As A Method Of Distance Education In The Arab World – A Review Paper

/moocs-online-learning-digital-degrees.aspx [Accessed 14-1-2015]. 4. Ayad, S. (2015a). A new Saudi healthcare app looks to solve the obesity epidemic. In Wamda Blog, February 2, 2015. Available: [Accessed 13-5-2015]. 5. Ayad, S. (2015b). Saudi’s Rwaq team hope to create community of educators. In Wamda Blog, March 25, 2015. Available: [Accessed 13-5-2015]. 6. Ba-Isa, M.Y. (2014). Saudi eLearning portal to bridge the gap between education and

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Exploration of Teaching Preferences of Instructors’use of Social Media

:// 17. Halic, O., Lee, D., Paulus, T., & Spence, M. (2010). To blog or not to blog: Student perceptions of blog effectiveness for learning in a college-level course. The Internet and higher education, 13(4), 206-213. 18. Hung, H. T., & Yuen, S. C. Y. (2010). Educational use of social networking technology in higher education. Teaching in higher education, 15(6), 703-714. 19. Kessler, G. (2009). Student-initiated attention to form in wiki

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A Comparison of Social Learning Systems: Crochet Alongs and Moocs

_technology_survey_v3.pdf 36. Wenger, E. (2010). Communities of practice and social learning systems: the career of a concept. In C. Blackmore(Ed.), Social learning systems and communities of practice (pp. 179-198). Springer. 37. Wenger, E., White, N., & Smith, J. D. (2009). Digital habitats: Stewarding technology for communities. CPsquare. 38. Wenger-Trayner, E., & Wenger-Trayner, B. (2015). Communities of practice a brief introduction. Retrieved from 39. White, G. (2015, January 25

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Learning Effectiveness and Students’ Perceptions in A Flexible Learning Course

.iheduc.2016.05.001 3. Chen, D.-T. (2003). Uncovering the provisos behind flexible learning. Educational Technology & Society, 6 (2), 25-30. 4. Deschacht, N., & Goeman, K. (2015). The effect of blended learning on course persistence and performance of adult learners. Comput. Educ., 87 (C), 83-89. doi:10.1016/j.compedu.2015.03.020 5. Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2015). How to design and evaluate research in education (9 th ed.). New York: McGraw-Hill. 6. Graham, C. R. (2006). Blended learning systems: definition, current trends

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The Temporal Perspective in Higher Education Learners: Comparisons between Online and Onsite Learning

. 69 -78). 68. Siemens, G. and Matheos, K. (2012). Systemic changes in higher education. In Education, 16(1). 69. Simons, J.; Vansteenkiste, M.; Lens, W. and Lacante, M. (2004). Placing motivation and future time perspective theory in a temporal perspective. In Educational Psychology Review, 16(2), (pp. 121-139). 70. Sullivan, P. (2001). Gender differences and the online classroom: Male and female college students evaluate their experiences. In Community College Journal of Research &Practice, 25(10), (pp. 805

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Aesthetic Literacy: Observable Phenomena And Pedagogical Applications For Mobile Lifelong Learning (MLLL)

technologies. In N.J. Smelser & P.B. Baltes (eds.), International Encyclopedia of the Social and Behavioral Sciences. Oxford, United Kingdom: Pergamon. Retrieved August 25, 2014 from 35. Koper, R. and Tattersall, C. (2004). New directions for lifelong learning using network technologies. In British Journal of Educational Technology, 35(6), (pp. 689–700). DOI: 10.1111/j.1467-8535.2004.00427.x 36. Kress, G. (2009). Multimodality: A social semiotic approach to contemporary communication. London: Routledge

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Enhancing Understanding, Flow And Self-Efficacy In Learners With Developmental And Attention Difficulties Through ICT-Based Interventions

., & Maras, A. (2015). Development and User Satisfaction of “Plan-It Commander”, a Serious Game for Children with ADHD. Games for Health Journal, 4(6), 502-512. 13. Cihak, D. F., Kildare, L. K., Smith, C. C., McMahon, D. D., & Quinn-Brown, L. (2012). Using Video Social Stories to Increase Task Engagement for Middle School Students With Autism Spectrum Disorders. Behavior Modification, 36(3), 399-425. 14. Csikszentmihalyi, M. (2014). Applications of Flow in Human

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Predicting Dropout Student: An Application of Data Mining Methods in an Online Education Program

References 1. Allen, I.E. and Seaman, J. (2007). Online nation: Five years of growth in online learning. Needham, MA: Sloan Consortium. 2. Baker, R.S.J.D. (2010). Data Mining for Education. In B. McGaw, P. Peterson, E. Baker (eds.), International Encyclopaedia of Education (3rd edition), (pp. 112-118). Oxford, UK: Elsevier 3. Baker, R. and Siemens, G. (in press). Educational data mining and learning analytics. To appear in Sawyer, K. (ed.), Cambridge Handbook of the Learning Sciences: 2nd Edition

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