Abstract
Intensive research on reusable learning objects has been going on for more than three decades. Both content providers and information technology experts work for developing and implementing models that can facilitate the process of developing, storing, classifying and delivering of learning objects to students. Considering the amount of resources required to support that process and the current restrictions on educational budgets there is an obvious need for further research in this area. In this paper we pay special attention on how to select the most suitable learning objects from a database.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Barritt, C., Alderman Jr., F.L.: Creating a Reusable Learning Objects Strategy: Leveraging Information and Learning in a Knowledge Economy. Wiley Books, San Francisco (2004)
Cisco Systems Inc. Enhancing the Learner Experience (v1.1), Internet (2003), http://www.apan.net/meetings/busan03/materials/ws/education/articles/EnhancingLearnerExp.pdf
Davey, B.A., Priestley, H.A.: Introduction to lattices and order. Cambridge University Press, Cambridge (2005)
Eap, T.M., Hatala, M., Gasevik, D.: Technologies for enabling the sharing of learning objects. International Journal of Advanced Media and Communication Archive 2(1), 1–19 (2008) ISSN: 1462-4613
Encheva, S., Tumin, S.: Cooperative Learning Objects in an Intelligent Web-Based Tutoring System. In: Advanced Industrial Conference on Telecommunications, Service Assurance with Partial and Intermittent Resources Conference, E-Learning on Telecommunications Workshop (AICT / SAPIR / ELETE 2005), Lisbon, Portugal, July 17-22, IEEE Computer Society (2005) ISBN 0-7695-2388-9504-508
Encheva, S., Tumin, S.: On facilitating automated evaluation. In: IADIS International Conference e-Learning, pp. 223–225 (2008) ISBN: 978-972-8924-58-4
Gehringer, E., Ehresman, L., Conger, S., Wagle, P.: Reusable Learning Objects Through Peer Review: The Expertiza approach. Innovate 3(5) (2007)
Pawlak, Z.: Rough Sets. International Journal of Computer and Information Sciences 11, 341–356 (1982)
Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning About Data. Kluwer Academic Publishing, Dordrecht (1991)
Pawlak, Z.: In Pursuit of Patterns in Data Reasoning from Data - The Rough Set Way. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds.) RSCTC 2002. LNCS (LNAI), vol. 2475, pp. 1–9. Springer, Heidelberg (2002)
Ramasubramanian, P., Banu Priya, S., Dhanalakshmi, T.: Study on assessment method for technical institutions using rough sets. International Journal of Research and Reviews in Information Sciences (IJRRIS) 1(4), 99–103 (2011) ISSN: 2046-6439
Valderrama, R., Ocana, L., Sheremetov, L.: Development of intelligent reusable learning objects for web-based education systems. Expert Systems with Applications 28(2), 273–283 (2005) ISSN: 09574174
Wille, R.: Concept lattices and conceptual knowledge systems. Computers Math. Applications 23(6-9), 493–515 (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Encheva, S. (2012). On Dependences among Objects and Attributes. In: Li, Z., Li, X., Liu, Y., Cai, Z. (eds) Computational Intelligence and Intelligent Systems. ISICA 2012. Communications in Computer and Information Science, vol 316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34289-9_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-34289-9_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34288-2
Online ISBN: 978-3-642-34289-9
eBook Packages: Computer ScienceComputer Science (R0)