Abstract
Adaptive content selection is recognized as a challenging research issue in adaptive educational hypermedia systems (AEHS). In order to adaptively select learning objects (LO) in AEHS, the definition of adaptation behavior, referred to as Adaptation Model (AM), is required. Several efforts have been reported in literature aiming to support the AM design by providing AEHS designers with either guidance for the direct definition of adaptation rules, or semi-automated mechanisms which generate the AM via the implicit definition of such rules. The goal of the semi-automated, decision-based approaches is to generate a continuous decision function that estimates the desired AEHS response, aiming to overcome the problems of insufficiency and/or inconsistency in the defined adaptation rule sets. Although such approaches bare the potential to provide efficient AM, they still miss a commonly accepted framework for evaluating their performance. In this chapter, we discuss a set of performance evaluation metrics that have been proposed by the literature for validating the use of decision-based approaches in adaptive LO selection in AEHS and assess the use of these metrics in the case of our proposed statistical method for estimating the desired AEHS response.
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References
Alfonseca, E., Rodriguez, P., Perez, D.: An approach for automatic generation of adaptive hypermedia in education with multilingual knowledge discovery techniques. Computers & Education 49, 495–513 (2007)
Aroyo, L., Mizoguchi, R.: Towards evolutional authoring support systems. Journal of Interactive Learning Research 15(4), 365–387 (2004)
Aroyo, L., Mizoguchi, R., Tzolov, C.: OntoAIMS: Ontological approach to courseware authoring. In: Proceedings of ICCE, pp. 1011–1014 (2003)
Biletskiy, Y., Baghi, H., Keleberda, I., Fleming, M.: An adjustable personalization of search and delivery of learning objects to learners. Expert Systems with Applications 36(5), 9113–9120 (2009)
Brusilovsky, P.: Adaptive Navigation Support. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 263–290. Springer, Heidelberg (2007)
Brusilovsky, P., Henze, N.: Open Corpus Adaptive Educational Hypermedia. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 671–696. Springer, Heidelberg (2007)
Brusilovsky, P., Wade, V., Conlan, O.: From learning objects to adaptive content services for E-learning. In: Pahl, C. (ed.) Architecture Solutions for E-Learning Systems, pp. 243–261. Idea Group Inc. (2007)
Conlan, O., Hockemeyer, C., Wade, V., Albert, D.: Metadata driven approaches to facilitate adaptivity in personalized eLearning systems. Journal of the Japanese Society for Information and Systems in Education 1(1), 38–44 (2002)
Cristea, A.I.: Authoring of adaptive educational hypermedia. In: Proceedings of ICALT, pp. 943–944 (2007)
Cristea, A.I., Kinshuk: Consideration on LAOS, LAG and their Integration in MOT. In: Proceedings of ED-MEDIA, pp. 511–518 (2003)
Dagger, D., Wade, V., Conlan, O.: Personalisation for all: Making adaptive course composition easy. Education Technology & Society 8(3), 9–25 (2005)
De Bra, P.: Web-based educational hypermedia. In: Romero, C. (ed.) Data Mining in E-Learning, pp. 3–17. WIT Press (2006)
De Bra, P., Houben, G., Wu, H.: AHAM: A Dexter based reference model for adaptive hypermedia. In: Proceedings of HT, pp. 147–156 (1999)
Dolog, P., Henze, N., Nejdl, W., Sintek, M.: The Personal Reader: Personalizing and Enriching Learning Resources Using Semantic Web Technologies. In: De Bra, P., Nejdl, W. (eds.) AH 2004. LNCS, vol. 3137, pp. 85–94. Springer, Heidelberg (2004)
Dolog, P., Simon, B., Nejdl, W., Klobucar, T.: Personalizing access to learning networks. ACM Transactions on Internet Technology 8(2), Article 8 (2008)
Duval, E., Hodgins, W.: A LOM research agenda. In: Proceedings of WWW (2003)
Harman, K., Koohang, A.: Learning objects: standards, metadata, repositories & LCMS. Informing Science Press, California (2006)
Henze, N., Nejdl, W.: A logical characterization of adaptive educational hypermedia. New Review of Hypermedia and Multimedia 10(1), 77–113 (2004)
Honey, P., Mumford, A.: The manual of learning styles. Maidenhead (1992)
Hsieh, T.C., Chiu, T.K., Wang, T.I.: An approach for constructing suitable learning path for documents occasionally collected from internet. In: Proceedings of ICMLC, pp. 2138–3143 (2008)
Huang, M.J., Huang, H.S., Chen, M.Y.: Constructing a personalized e-learning system based on genetic algorithm and case-based reasoning approach. Expert Systems with Applications 33, 551–564 (2007)
Huang, Y., Chen, J., Huang, T., Jeng, Y., Kuo, Y.: Standardized course generation process using dynamic fuzzy Petri nets. Expert Systems with Applications 34, 72–86 (2008)
IEEE. IEEE learning object metadata standard (IEEE LOM). Technical specification. IEEE (2002)
IMS. Learner information package (LIP). Technical specification. IMS Global Learning Consortium Inc. (2001)
Karampiperis, P., Sampson, D.G.: Adaptive learning object selection in intelligent learning systems. Journal of Interactive Learning Research 15(4), 389–409 (2004)
Karampiperis, P., Sampson, D.G.: Adaptive learning resources sequencing in educational hypermedia systems. Educational Technology & Society 8(4), 128–147 (2005)
Kiu, C.C., Lee, C.S.: Learning objects reusability and retrieval through ontological sharing: A hybrid unsupervised data mining approach. In: Proceedings of ICALT, pp. 548–550 (2007)
Knutov, E., De Bra, P., Pechenizkiy, M.: AH 12 years later: a comprehensive survey of adaptive hypermedia methods and techniques. New Review of Hypermedia and Multimedia 15(1), 5–38 (2009)
Kravčík, M., Specht, M.: Flexible Navigation Support in the WINDS Learning Environment for Architecture and Design. In: De Bra, P., Nejdl, W. (eds.) AH 2004. LNCS, vol. 3137, pp. 156–165. Springer, Heidelberg (2004)
Lee, M., Tsai, K., Wang, T.: An ontological approach for semantic-aware learning object retrieval. In: Proceedings of ICALT, pp. 208–210 (2006)
Martins, A.C., Faria, L., Vaz de Carvalho, C., Carrapatoso, E.: User modeling in adaptive hypermedia educational systems. Educational Technology & Society 11(1), 194–207 (2008)
McCalla, G.: Smart recommendation for an evolving e-learning system: architecture and experiment. International Journal on E-Learning 4(1), 105–129 (2005)
McGreal, R.: Online education using learning objects. Routledge, London (2004)
Najjar, J., Duval, E.: Actual use of learning objects and metadata: An empirical analysis. IEEE Technical Committee on Digital Libraries Bulletin 2(2) (2006)
Nejdl, W., Brusilovsky, P.: Adaptive hypermedia and adaptive web. In: Singh, M. (ed.) Practical Handbook of Internet Computing, pp. 1.1–1.12. CRC Press (2004)
Ochoa, X., Duval, E.: Relevance ranking metrics for learning objects. IEEE Transactions on Learning Technologies 1(1), 34–48 (2008)
Papanikolaou, K., Grigoriadou, M., Kornilakis, H., Magoulas, G.: Personalising the interaction in a web-based educational hypermedia system: The case of INSPIRE. International Journal of User Modeling and User-Adapted Interaction 13(3), 213–267 (2003)
Ras, E., Ilin, D.: Using Decision Models for the Adaptive Generation of Learning Spaces. In: Nejdl, W., Kay, J., Pu, P., Herder, E. (eds.) AH 2008. LNCS, vol. 5149, pp. 153–162. Springer, Heidelberg (2008)
Razmerita, L.: User modeling and personalization. In: Sherry, Y.C., Magoulas, G.D. (eds.) Adaptable and Adaptive Hypermedia Systems, Idea Group Inc. (2005)
Rich, E.: User modeling via stereotypes. Cognitive Science 3(4), 329–354 (1979)
Sampson, D., Karampiperis, P.: Decision models in the design of adaptive educational hypermedia systems. In: Graf, S., Lin, F., Kinshuk, McGreal, R. (eds.) Intelligent and Adaptive Learning Systems: Technology Enhanced Support for Learners and Teachers. Idea Group Inc. (2011)
Stash, N., Cristea, A.I., De Bra, P.: Adaptation languages as vehicles of explicit intelligence in adaptive hypermedia. International Journal of Continuing Engineering Education and Lifelong Learning 17(4-5), 319–336 (2007)
Wang, T.I., Tsai, K.H., Lee, M.C., Chiu, T.K.: Personalized learning objects recommendation based on the semantic-aware discovery and the learner preference pattern. Educational Technology & Society 10(3), 84–105 (2007)
Wu, H., De Bra, P.: Sufficient Conditions for Well-Behaved Adaptive Hypermedia Systems. In: Zhong, N., Yao, Y., Ohsuga, S., Liu, J. (eds.) WI 2001. LNCS (LNAI), vol. 2198, pp. 148–152. Springer, Heidelberg (2001)
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Karampiperis, P., Sampson, D.G. (2013). Performance Evaluation of Decision-Based Content Selection Approaches in Adaptive Educational Hypermedia Systems. In: Peña-Ayala, A. (eds) Intelligent and Adaptive Educational-Learning Systems. Smart Innovation, Systems and Technologies, vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30171-1_7
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