Meta Model of e-Learning Materials Development

Signe Balina, Irina Arhipova, Inga Meirane, Edgars Salna


The multitude of software tools is available for the creation of learning resources. However the majority of these tools provided by different software producers do not have a unified mechanism by means of which it would be possible to search and reuse the existing learning resources or their elements. To solve this problem the structures of descriptive data can be used. The aim of this paper is to describe a meta-model of e-learning objects and e-learning formats that could be used in the creation of e-learning materials compatible with various e-learning standards. The meta-data models that are used in widely-known learning resources’ repositories and their structure’s metadata standards providing cross-system compatibility have been evaluated. The key metadata standards of learning objects were identified and their comparative analysis was performed. The e-learning material logical model was created and the essential demands for e-learning object’s data repository were defined. The technologies and their provided electronic learning objects’ classification systems were investigated for the future development of e-learning materials. The scheme of e-LM development process was obtained, which provides the transformation of different modules.


  1. Anido, L. E. et al., 2002. Educational metadata and brokerage for learning resources. COMPUTERS EDUCATION, 38, pp.351-374.
  2. Benson, V., Frumkin, L. & Murphy, A., 2005. Designing multimedia for differences: e-lecturer, e-tutor, and estudent perspectives. Information Technology and …, 2, pp.1-6. Available at: abs_all.jsp?arnumber=1488947 [Accessed October 2, 2013].
  3. DCMI, 2013. Dublin Core Metadata Initiative, Available at:
  4. Dong, A. D. A. & Li, H.L.H., 2005. Multimedia access platform for virtual learning environment. 2005 IEEE International Conference on Electro Information Technology, pp.1-6.
  5. Friesen, N., Roberts, A. & Fisher, S., 2002. CanCore: Metadata for Learning Objects. Canadian Journal of Learning and Technology, 28, pp.1-7.
  6. IEEE-LOM, 2002. Standard for Learning Object Metadata, Available at: freeabs_all.jsp?arnumber=1032843.
  7. Lin, M.L.M. et al., 2006. Learning by Browsing: A WebBased Multimedia Browsing System for Learning. Proceedings of the 39th Annual Hawaii International Conference on System Sciences HICSS06, 1.
  8. Mei, Q.M.Q. & Shen, J.S.J., 2002. A knowledge flow driven e-learning architecture design: what is its stratification and how is it personalized. International Conference on Computers in Education 2002 Proceedings, pp.1307-1308 vol.2.
  9. Najjar J. 2008. Empirical Evaluation of the Actual Use of Learning Objects and Metadata in Learning Object Repositorie. Computer Science Department, K.U.Leuven B-3001 Leuven, Belgium.
  10. Shang, Y., Shi, H. & Chen, S.-S., 2001. An intelligent distributed environment for active learning. Proceedings of the tenth international conference on World Wide Web WWW 01, 1, pp.308-315.
  11. Xu, D., Wang, H. & Wang, M., 2005. A conceptual model of personalized virtual learning environments. Expert Systems with Applications, 29, pp.525-534.

Paper Citation

in Harvard Style

Balina S., Arhipova I., Meirane I. and Salna E. (2014). Meta Model of e-Learning Materials Development . In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-758-029-1, pages 150-155. DOI: 10.5220/0004971401500155

in Bibtex Style

author={Signe Balina and Irina Arhipova and Inga Meirane and Edgars Salna},
title={Meta Model of e-Learning Materials Development},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},

in EndNote Style

JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - Meta Model of e-Learning Materials Development
SN - 978-989-758-029-1
AU - Balina S.
AU - Arhipova I.
AU - Meirane I.
AU - Salna E.
PY - 2014
SP - 150
EP - 155
DO - 10.5220/0004971401500155