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Tutor Emotional Competences Valued by Learners in a Blended Learning Contex

: Bloomsbury. 20. Goleman, D. (2001). An EI-Based Theory of Performance. In C. Cherniss & D. Goleman (Eds.), The Emotionally Intelligent Workplace: How to Select for, Measure, and Improve Emotional Intelligence in Individuals, Groups, and Organization (pp. 27-44). San Francisco: Jossy-Bass. 21. Goodyear, P., Salmon, G., Spector, J. M., Steeples, C., & Tickner, S. (2001). Competences for online teaching: A special report. Educational Technology Research and Development, 49(1), 65-72. 22. Guasch, T., Alvarez, I., & Espasa, A

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Exploring the Factors Associated with MOOC Engagement, Retention and the Wider Benefits for Learners

retention and achievement in a massive open online course. American Educational Research Journal (Online First). 5. Guardia, L., Maina, M., & Sangra, A. (2013). MOOC design principles: A pedagogical approach from the learner’s perspective. eLearning Papers, 33. 6. Guo, P. J., & Reinecke, K. (2014). Demographic differences in how students navigate through MOOCs. 7. Hadi, S. M., & Gagen, P. (2016). New model for measuring MOOCs completion rates. Paper presented at the European MOOCs Stakeholder Summit. Retrieved from http

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Teaching Environmental Management Competencies Online: Towards “Authentic” Collaboration?

). Imagine coastal sustainability. Ocean & Coastal Management, 83, 39-51. Retrieved November 12, 2014, from 5. Bell, S., & Lane, A. (1998). From teaching to learning: technological potential and sustainable, supported open learning. Systemic Practice and Action Research, 11(6), 629-650. 6. Bell, S., & Morse, S. (2003). Measuring Sustainability: Learning from Doing. London: Earthscan. 7. Berardi, A. (2011). The Challenges of Transformational Learning at a Distance

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The Relationship Between Quality of Student Contribution in Learning Activities and their Overall Performances in an Online Course

Human Behavior, 31 , 542-550. 3. Alkhateeb, M., Hayashi, Y., & Hirashima, T. (2015). Comparison between Kit-Build and Scratch-Build Concept Mapping Methods in Supporting EFL Reading Comprehension. The Journal of Information and Systems in Education, 14 (1), 13-27. 4. Arbaugh, J. B. (2002). Managing the online classroom: a study of technological and behavioral characteristics of web-based MBA courses. Journal of High Technology Management Research, 13 , 203-223. 5. Arbaugh, J. B., & Duray, R. (2002). Technological and structural characteristics

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

that relate to preference for online versus face-to-face instruction. In The Internet and Higher Education, 13, (pp. 89-95). 39. Hiltz, S.R.; Coppola, N.; Rotter, N.; Toroff, M.; Benbunan-Fich, R. (2000). Measuring the Importance of Collaborative Learning for the Effectiveness of ALN: A Multi-Measure. In J.Bourne (ed.), Online Education: Learning effectiveness and faculty satisfaction: Volume 1. (p. 101-119).Needham, MA.: Sloan-C. 40. Horstmanshof, L. and Zimitat, C. (2007). Future time orientation predicts academic engagement among

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The Flipped-Classroom Approach: The Answer to Future Learning?

technologies. In G. Veletsianos (ed.), Immerging technologies in education, (pp. 23-36). Edmonton: AU Press. 4. Ang, R.P. (2005). Development and validation of the Teacher-Student Relationship Inventory using exploratory and confirmatory factor analysis. In The Journal of Experimental Education, 74(1), (pp. 55-73). 5. Baker, J.W. (2000). The “classroom flip”: Using web course management tools to become the guide by the side. In Selected Papers from the 11th International Conference on College Teaching and Learning, (pp. 9-17).. Available

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Learners on the Periphery: Lurkers as Invisible Learners

. Munzel, A., & Kunz, W. H. (2014). Creators, multipliers, and lurkers: who contributes and who benefits at online review sites. Journal of Service Management, 25(1), 49-74. doi 10.1108/JOSM-04-2013-0115 23. NetLingo (n.d). Lurkers. Retrieved from 24. Nielsen, J. (2006, October 9). Participation Inequality: Encouraging More Users to Contribute. Nielsen Norman Group [Blog post]. Retrieved from 25. Nonnecke, B., & Preece, J

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Emerging Evidence Regarding the Roles of Emotional, Behavioural, and Cognitive Aspects of Student Engagement in the Online Classroom

: student engagement with learning technologies. International Journal of Educational Management, 21(5), 418-432. 23. Hu, S., & Kuh, G.D. (2001). Being (Dis)Engaged in Educationally Purposeful Activities: The Influences of Student and Institutional Characteristics. Paper presented at the American Educational Research Association Annual Conference. Seattle, WA, 10-14 April. 24. Huang, C. (2011). Achievement goals and achievement emotions: A meta-analysis. Educational Psychology Review, 23(3), 359-388. 25. Kang, M., & Im, T

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Self-Esteem and Loneliness as Factors Affecting Distance Learning Students

_Mavroidis.pdf 3. Arbaugh, J.B. (2000). Virtual classroom Characteristics and student satisfaction with internetbased MBA courses. In Journal of Management Education, 24, (pp.32-54). 4. Asher, S.R.; Hymel, S.; Renshaw, P.D. (1984). Loneliness in children. In Child Development, 55, (pp. 1456-1464). 5. Baumeister, R.F.; Campbell, J.D.; Krueger, J.I.; Vohs, K.D. (2003). Does high self-esteem cause better performance, interpersonal success, happiness, or healthier lifestyles? In Psychological Science in the Public Interest, 4, (pp. 1

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

: using LMS activity logs to measure community in online courses. In The Internet and Higher Education, 11(2), (pp. 65-70). 10. Carr, S. (2000). As distance education comes of age, the challenge is keeping the students. In The Chronicle of Higher Education, 46(23), (pp. A39-A41). 11. Chaudhuri, S. (1998). Data Mining and Database Systems: Where is the Intersection? In IEEE Bulletin of the Technical Committee on Data Engineering, 21(1), (pp. 4-8). 12. Chen, G.; Liu, C.; Ou, K. and Liu, B. (2000). Discovering decision

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