Abstract
The main aim of e-learning is to provide a learning route where activities are tailored to individual necessities. But this is not always enough, as this route needs to be executed in a real learning management system where some discrepancies (between the real and expected situation) may appear. In this paper we focus on the generation of these routes from a planning perspective, but also on the monitoring and execution of the routes and, in case of significant discrepancies, provide a planning approach for adapting the route —rather than generating a new one from scratch. We demonstrate that this approach is very valuable to maximise the stability of the learning process, and also for the performance and quality of the learning routes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abdullah, N., Davis, H.: Is simple sequencing simple adaptive hypermedia? In: Proc. ACM Conference on Hypertext and Hypermedia, pp. 172–173 (2003)
Camacho, D., Pulido, E., Rodriguez-Moreno, M., Carro, R., Ortigosa, A., Bravo, J.: Automatic course redesign: Global vs. individual adaptation. Journal of Engineering Education 25(6), 1270–1283 (2009)
Castillo, L., Morales, L., Gonzalez-Ferrer, A., Fdez-Olivares, J., Borrajo, D., Onaindia, E.: Automatic generation of temporal planning domains for e-learning. Journal of Scheduling 13(4), 347–362 (2010)
Fox, M., Gerevini, A., Long, D., Serina, I.: Plan stability: Replanning versus plan repair. In: Proc. 16th Int. Conference on Automated Planning and Scheduling (ICAPS 2006), pp. 212–221. AAAI Press (2006)
Garrido, A., Onaindia, E., Morales, L., Castillo, L., Fernandez, S., Borrajo, D.: Modeling e-learning activities in automated planning. In: Proceedings of the 3rd International Competition on Knowledge Engineering for Planning and Scheduling (ICKEPS-ICAPS 2009), pp. 18–27 (2009)
Howey, R., Long, D., Fox, M.: Validating plans with exogenous events. In: Proc. 23rd UK Planning and Scheduling SIG Workshop, pp. 78–87 (2004)
Idris, N., Yusof, N., Saad, P.: Adaptive course sequencing for personalization of learning path using neural network. Int. J. Advance. Soft Comput. Appl. 1(1), 49–61 (2009)
Kontopoulos, E., Vrakas, D., Kokkoras, F., Bassiliades, N., Vlahavas, I.: An ontology-based planning system for e-course generation. Expert Systems with Applications 35(1-2), 398–406 (2008)
LOM: Draft standard for learning object metadata. IEEE. rev. February 16, 2005 (2002), http://ltsc.ieee.org/wg12/files/IEEE_1484_12_03_d8_submitted.pdf
Peachy, D., McCalla, G.: Using planning techniques in intelligent systems. International Journal of Man-Machine Studies 24, 77–98 (1986)
Perez-Rodriguez, R., Rodríguez, M., Anido-Rifón, L., Llamas-Nistal, M.: Execution model and authoring middleware enabling dynamic adaptation in educational scenarios scripted with PoEML. Journal of Universal Computing Science 16(19), 2821–2840 (2010)
Srivastava, B., Nguyen, T., Gerevini, A., Kambhampati, S., Do, M., Serina, I.: Domain independent approaches for finding diverse plans. In: Proc. Int. Joint Conference on AI (IJCAI 2007), pp. 2016–2022 (2007)
Ullrich, C., Lu, T., Melis, E.: Just-in-time Adaptivity Through Dynamic Items. In: Houben, G.-J., McCalla, G., Pianesi, F., Zancanaro, M. (eds.) UMAP 2009. LNCS, vol. 5535, pp. 373–378. Springer, Heidelberg (2009)
Ullrich, C., Melis, E.: Pedagogically founded courseware generation based on HTN-planning. Expert Systems with Applications 36(5), 9319–9332 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Morales, L., Garrido, A., Serina, I. (2011). Planning and Execution in a Personalised E-Learning Setting. In: Lozano, J.A., Gámez, J.A., Moreno, J.A. (eds) Advances in Artificial Intelligence. CAEPIA 2011. Lecture Notes in Computer Science(), vol 7023. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25274-7_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-25274-7_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25273-0
Online ISBN: 978-3-642-25274-7
eBook Packages: Computer ScienceComputer Science (R0)