• Atis Kapenieks
  • Bruno Zuga



e-learning, t-learning, m-learning, next generation life-long-learning, anywhere, anytime, by any preference learning


We are developing an innovative cross-media learning delivery system (eBig3, ETM) that goes beyond traditional web-based learning approaches. The approach combines wide availability of television and mobile technologies with the capacity and flexibility of Internet based e-learning. This approach allows the learner to use either a single learning delivery system (depending on availability and preferences) or a complementary combination of two or three delivery systems, thus supporting the anywhere, anytime — by any preference—learning paradigm. The development of the eBig3/ETM learning solutions includes integration of technical aspects of cross-media learning content delivery. Moreover, the approach incorporates pedagogical and usability principles based on an understanding of the target users learning needs and their contexts.


1. Bruno Zuga, Ilmars Slaidins, Atis Kapenieks, and Armands Strazds, "M-learning and Mobile Knowledge Management: Similarities and Differences," in Proceedings of the First International Conference on Interactive Mobile and Computer Aided Learning (ICML), Amman, Jordan, 2006.
2. Steve Dennen, "State of the Internet video, mobile and social," 2011.
3. ELU_Consortium, "State of the Art on Learning Using iDTV," FP6 project - Enhanced Learning Unlimited (IST-4-027866), Deliverable D2.3 01/09/2007 2007.
4. Glenn Enoch and Kelly Johnson, "Cracking the cross.Media code: How to use single.Source measures to examine media cannibalization and convergence," Journal of Advertising Research, vol. 50, 2010. Chris Gregory, "The World of Television and Internet Convergence," Nielsen Media and Marketing Research Council, Los Angeles 2009.
6. H. Jenkins, Convergence culture: Where old and new media collide: New York: New York university Press, 2006.
7. Henry Jenkins and Mark Deuze, "Convergence Culture," The International Journal of Research into New Media Technologies, vol. 14, pp. 5-12, 2008.
8. B. Johanson, B. Forbes, J. H. Lee, and R. Salvador, "Will web and television converge?," 2009.
9. Lori Demo Larry Dailey and Spillman Mary, "The convergence continuum: A model for studying collaboration between media newsrooms," Atlantic Journal of Communication, vol. 13, pp. 150-168, 2005.
10. W. Simpson and H. Greenfield, "IPTV and Internet video: Expanding the Reach of Television Broadcasting," p. 217, 2009.
11. James Verrinder, "Nielsen rolls out Convergence Panel," 2008. http://www.researchlive. com/news/nielsen-rolls-out-convergence panel/3005296.article
12. Uden L., Damiani E. The future of E-learning: E-learning eco-system. Proceedings of Inaugural IEEE International Conference on Digital Ecosystems and Technologies. IEEE DEST 2007, pp. 113 – 117.
13. Stale G., Cakula S., Kapenieks A. Application of a Modelling Method for Knowledge Flow Analysis in an Educational IT Ecosystem. Virtual and Augumented Reality in Education (VARE 2011), Valmiera, Latvija, 2011, pp. 92 – 97. ISBN 978-9984-633-18- 3
14. Stale G. Madsen P.P. Behaviour and Context Awareness in an Educational IT Ecosystem. Published in the Annual Proceedings of Vidzeme University College „ICTE in Regional Dvelopment”. Valmiera, 2009. – Valmiera: Vidzeme University College, 2009.
15. Stale G., Majors I. Applying Knowledge Management Methods and Enterprise Modelling Methods to the IT “ecosystem” for Continuing Education in SME’s. Proceedings of Third IEEE International Conference on Digital Ecosystems and Technologies, 2009. June, Turkey, Istanbul. – Istanbul: IEEE, 2009, pp. 161 - 166.