Everything stored on the cloud could potentially be a knowledge source used for e-learning. Given learners` profiles, desires and feedback on what they have already learned, a new form of personalized e-learning emerges, namely Cloud E-Learning (CeL). CeL should be able to choose from structured to totally unstructured learning material but needs to make them useful for each individual. Existing metadata standards cannot facilitate composition of personalized learning paths as a series of learning objects. In this paper, we present the structure of CeL Learning Objects (CeLLOs), which include an additional set of metadata suitable for each phase of CeL development.

Cloud E-learning, computing for Education, Electronic Learning

[1] Krenare Pireva, Petros Kefalas and Ioanna Stamatopoulou, “Representation of learning objects in cloud e-learning”, Information, Intelligence, Systems & Applications (IISA), 8th International Conference on, IEEE 2017.
[2] E.-M. Kalogeraki, C. Troussas, D. Apostolou, M. Virvou, T. Panayiotopoulos, "Ontology-based model for learning object metadata", Information Intelligence Systems & Applications (IISA) 2016 7th International Conference on. IEEE, pp. 1-6, 2016.
[3] Giovanni Casella, Gennaro Costagliola, Filomena Ferrucci, Giuseppe Polese,Giuseppe Scanniello "A SCORM Thin Client Architecture for E-Learning Systems Based on Web Services" International Journal of Distance Education Technologies, Volume 5, Issue 1,2007.
[4] Xiaofei, L., El Saddik, A., & Georganas,N. D. "An implementable architecture of an e-learning system". In Proceedings of IEEE Canadian Conference on Electrical and Computer Engineering, vol.2 (pp. 717-720) (2003).
[5] Mohammed Khaleel, H. M. El-Bakry, Ahmed A. Saleh, " Developing E-learning Services Based on Cache Strategy and Cloud Computing", International Journal of Information Science and Intelligent System, 2014.
[6] D. Mahanta, and M. Ahmed, “E-Learning Objectives, Methodologies, Tools and its Limitation”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2012.
[7] C. Huandong, W. Shulei, S. Chunhui, and C. Mingrui, “ Research on the Learning Theory of E-learning”, Fifth International Joint Conference on INC, IMS and IDC, NCM`09. IEEE, 2009.
[8] D. Chandran, and S. Kempegowda, “Hybrid E-learning platform based on cloud architecture model: A proposal”, Signal and Image Processing (ICSIP), 2010 International Conference on IEEE, 2010.
[9] Chen Huandong, Wu Shulei, Song Chunhui, Zhan Jinmei,Chen Juntao, Kang Dong, "E-Learning System Model Construction Based Constructivism", 2009 Fifth International Joint Conference on INC, IMS and IDC, NCM`09. IEEE, 2009.
[10] Chine, K. (2010) ‘Learning Math and Statistics on the Cloud, Towards an EC2-Based Google Docs-Like Portal for Teaching / Learning Collaboratively with R and Scilab’, Advanced Learning Technologies (ICALT), 2010 IEEE 10th International Conference on 5-7 July (2010), pp. 752 - 753.
[11] Cubillo, J., Marten, S. & Castro, M. (2011) ‘ New Technologies Applied in the Educational Process’, IEEE Global Engineering Education Conference (EDUCON) –Learning Environments and Ecosystems in Engineering Education, April 4 - 6, (2010) Amman, Jordan, pp. 575-584.
[12] Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R. H., Konwinski, A., Lee, G., Patterson, D. A., Rabkin, A., Stoica, I. & Zaharia, M. (2009) Above the Clouds: A Berkeley View of Cloud Computing, Electrical Engineering and Computer Sciences University of California at Berkeley.
[13] Angad Grewal, Shri Rai, Rob Phillips and Chun Che Fung "The E-Learning Lifecycle and its Services: The Web Services Approach" Proceedings of the Second International Conference on eLearning for Knowledge-Based Society, August 4-7, 2005