Issue 4 (190), article 2

DOI:https://doi.org/10.15407/kvt190.04.019

Kibern. vyčisl. teh., 2017, Issue 4 (190), pp.

Synytsya K.M., PhD (Engineering)
Deputy Director on Research
e-mail: ksynytsya@irtc.org.ua
International Research and Training Center for Information Technologies
and Systems of the National Academy of Sciences of Ukraine
and Ministry of Education and Science of Ukraine

Acad. Glushkova av., 40, Kiev, 03187, Ukraine

E-LEARNING  MODELS ANALYSIS FOR LIFE-LONG LEARNING

Introduction. E-learning models reflect various aspects of ICT application in education but they are not intended for reflecting long periods of time, multiple sources of information or dynamic control from the learner’s side. These and other features are important for lifelong learning modeling aimed at the use of individual’s data for raising efficiency of learning.
The purpose of the paper is to review e-learning models that describe a framework, abstract architecture or a reference model to identify potential prototype for lifelong e-learning model and to outline the requirements to its construction.
Results. The study reveals typical features of the e-learning models grouped according to the level of abstraction and connection to technology and pedagogy. It describes lifelong learning specifics and models that could be considered during the lifelong e-learning modeling, although none of the existing models could serve as a unique prototype. A set of requirements to lifelong e-learning model is suggested.
Conclusion. Lifelong e-learning model should be presented as a set of views that are relevant to actors in e-learning and reflect longevity, multiple sources, context of learning, management and learner’s control, collection and sharing the data about learning. The main purpose of it could be in identification of components, tools and processes that should be implemented for intelligent and efficient lifelong learning support
Keywords: e-learning, lifelong learning, e-learning framework, reference model, learner-centric model, requirements to e-learning model

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REFERENCES

1 ISO/IEC 2382-36. Information technology. Vocabulary. Information technology for learning, education and training.

2 Odabasi, F., Kuzu, A. & Gunuc, S. (2012). Characteristics of lifelong learner. In P. Resta (Ed.), Proceedings of SITE 2012–Society for Information Technology & Teacher Education International Conference (pp. 4037-4039). Austin, Texas, USA: Association for the Advancement of Computing in Education (AACE).

3 Lawson, M., Askell-Williams H., Murray-Harvey R. “The attributes of the lifelong learner.” A report prepared for the Queensland Studies Authority. Flinders Univ. Adelaide (2006). 101 C

4 Vaishali Suryawanshi, Dayanand Suryawanshi, Fundamentals of E-Learning Models: A Review. In Innovation in engineering science and technology (NCIEST-2015) IOSR Journal of Computer Engineering (IOSR-JCE) PP 107-120

5 Wentling T., Waight C., Gallaher J. et. al. e-learning – A Review of Literature. NCSA, Univ.Illinois, 2000, 73 p.

6 Leal, J. P., & Queiros, R. (2010). eLearning Frameworks: a survey. In Proceedings of International Technology, Education and Development Conference

7 Wilson, S., Olivier, B., Jeyes, S., Powell, A., & Franklin, T. (2004). A technical framework to support e-learning. JISC.

8 Garrison, D. R. (2011). E-learning in the 21st century: A framework for research and practice. Taylor & Francis. 2nd edition

9 Glancy, F. H., & Isenberg, S. K. (2011). A Conceptual ELearning Framework. European, Mediterranean & Middle Eastern Conference on Information Systems 2011/ 636-650.

10 Mayes, T. and de Freitas, S. (2004) Review of e-learning theories, frameworks and models. London: Joint Information Systems Committee.

11 Dabbagh, N. (2005). Pedagogical models for E-Learning: A theory-based design framework. International Journal of Technology in Teaching and Learning, 1(1), 25-44.

12 Khan, B. H. (2000). A Framework for E-Learning. Distance Education Report, 4(24), 3-8.

13 Synytsya K. Adding mobility to the ADL language course (2013)The International Scientific Conference eLearning and Software for Education (ElSE). Vol 2 Pages 147-152

14 Aparicio, M., Bacao, F., & Oliveira, T. (2016). An e-Learning Theoretical Framework. Educational Technology & Society, 19 (1), 292–307.

15 Ismail, J. (2001). The design of an e-learning system: Beyond the hype. The Internet and Higher Education, 4(3), 329-336.
https://doi.org/10.1016/S1096-7516(01)00069-0

16 Synytsya, K. (2006). Standards for Learning Technologies: Overview and Directions. Communications of IICM, 8(2), 5-15.

17 Wisher R., Khan B. (2010), Learning on Demand. ADL and the Future of e-Learning.

18 Dagger, D., O’Connor, A., Lawless, S., Walsh, E., & Wade, V. P. (2007). Service-oriented e-learning platforms: From monolithic systems to flexible services. Internet Computing, IEEE, 11(3), 28-35.
https://doi.org/10.1109/MIC.2007.70

19 Seufert, S., Lechner, U., & Stanoevska, K. (2002). A reference model for online learning communities. International journal on E-learning, 1(1), 43-54.

20 McCombs, B., & Vakili, D. (2005). A learner-centered framework for e-learning. The Teachers College Record, 107(8), 1582-1600.
https://doi.org/10.1111/j.1467-9620.2005.00534.x

21 Livingstone, D. W. (2001). Adults’ informal learning: Definitions, findings, gaps and future research. WALL Working Paper No.21. 50 p.

22 Attwell, G. (2007). Personal Learning Environments-the future of eLearning?. Elearning papers, 2(1), 1-8.

23 Milligan, C.D., Beauvoir, P., Johnson, M.W., Sharples, P., Wilson, S. and Liber, O., 2006, October. Developing a reference model to describe the personal learning environment. In EC-TEL (Vol. 4227, pp. 506-511).
https://doi.org/10.1007/11876663_44.

Reseived 17.09.2017