Abstract
This paper presents a model, called SEM-HP, which enables the development of evolutionary hypermedia systems that can adapt their functioning to each user and their structure to a particular group of users. The individual adaptation feature manages a user model that includes the personal data, experience, preferences, knowledge, and interests of each user. It applies knowledge-based adaptation techniques to the following tasks: (1) personalized selection of the navigation structure, (2) hiding and disabling of links to inappropriate information, (3) positive annotation of interesting links, (4) generation of guided routes, and (5) building of personalized conceptual summaries. The group adaptation feature uses transition matrices to model the navigational activities of a group of users and, based on these, suggests modifications to evolve the navigation structures defined by the author to bring them closer to the mental concept of the majority of users. The paper also introduces a general taxonomy of user models that makes it possible to classify any model according to various features of its structure and management. In addition, the taxonomy is used to classify the UM managed in SEM-HP, thus revealing its strengths and weaknesses. The last part of the paper describes a teaching experiment performed using the JSEM-HP tool, which is based on the SEM-HP model. This description includes the educational system created with the tool, the usage of the tool in the classroom, the evaluation performed after the tool was used, and the results obtained.
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References
Bush V (1945) As we may think. Atl Mon 176(1): 101–108
Nelson TH (1965) A file structure for the complex, the changing, and the indeterminate. In: Proceedings, ACM twentieth national conference, pp 84–100
Vogiatzis D, Tzanavari A, Retalis S, Avgeriou P, Papasalouros A (2004) The learner’s mirror. In: Proceedings, ninth European conference on pattern languages of programs (EuroPLoP 2004), Kloster, Isree, Germany, July 7–11, 2004
Wu H, De Bra P, Aerts A, Houben G (2000) Adaptation control in adaptive hypermedia systems. Lecture notes in computer science 1892, pp 250–259
De Bra P, Stash N, Smits D, Romero C, Ventura S (2007) Authoring and management tools for adaptive educational hypermedia systems: the AHA! Case study. Studies in computational intelligence (SCI), No. 62. Springer, pp 285–308
Stash N, Cristea AI, De Bra P (2007) Adaptation languages as vehicles of explicit intelligence in adaptive hypermedia. Int J Contin Eng Educ Life Long Learn 17(4/5): 319–336
Daoud M, Lechani L, Boughanem M (2009) Towards a graph-based user profile model for a session-based personalized search. J Knowl Inf Syst 21(3): 365–368
Henze N, Nejdl W (1999) Bayesian modeling for adaptive hypermedia systems. GI-Workshop Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen (ABIS99), Otto-von-Guericke-Universität, Magdeburg, Germany, September 29–30
Heckmann D, Schwarzkopf E, Mori J, Dengler D, Kröner A (2007) The user model and context ontology GUMO revisited for future web 2.0 extensions. International workshop on contexts and ontologies: representation and reasoning (C&O:RR), Roskilde, Denmark, August 21, pp 37–46
Nguyen M, Santos E, Zhao Q, Hang H (2004) Capturing user intent for information retrieval. In: Proceedings, 48th annual meeting of the human factors and Ergonomics Society, New Orleans, Louisiana, September 20–24, pp 371–375
Brusilovsky P (2003) Adaptive navigation support in educational hypermedia: the role of student knowledge level and the case for meta-adaption. Br J Educ Technol 34(4): 487–497
Brusilovsky P, Sosnovsky S, Yudelson M (2009) Addictive links: the motivational value of adaptive link annotation. New Rev Hypermedia Multimed 15(1): 97–118
Zhu T, Greiner R, Haeubl G (2003) Learning a model of a web user’s interests. In: Proceedings, 9th international conference on user modeling (UM’2003), Johnstown, Pennsylvania, June 22–26, pp 65–75
De Buenaga M, Maña M, Díaz A, Gervás P (2001) A user model based on content analysis for the intelligent personalization of a news service. In: Proceedings, 18th international conference on user modeling, Sonthofen, Germany, July 13–17. Lecture notes in computer science 2109, pp 216–218
Pogacnik M, Tasic J, Meza M, Kosir A (2005) Personal content recommender based on a hierarchical user model for the selection of TV programs. J User Model User-Adapt Interact 15(5): 425–457
Komatani K, Ueno S, Kawahara T, Okuno H (2005) User modeling in spoken dialogue systems to generate flexible guidance. J User Model User-Adapt Interact 15(1): 169–183
Ahuja A, Ng Y (2009) A dynamic attribute-based data filtering and recovery scheme for web information processing. J Knowl Inf Syst 18(3): 263–291
Kay J (1995) The UM toolkit for reusable, long-term user models. User Model User-Adapt Interact 4(3): 149–196
Medina-Medina N, Molina-Ortiz F, García-Cabrera L (2010) Taxonomy for user models in adaptive systems: special considerations for learning environments
García-Cabrera L, Rodríguez MJ, Parets J (2002) Evolving hypermedia systems: a layered software architecture. J Softw Maintenance Evol Res Pract 14(5): 389–405
Medina-Medina N, Molina-Ortiz F, García-Cabrera L (2005) Diversity of structures and adaptive methods in an evolutionary hypermedia system. J IEEE Proc Softw 152(3): 119–126
Medina-Medina N, Molina-Ortiz F, García-Cabrera L (2003) Personalized guided routes in an adaptive evolutionary hypermedia system. Lecture notes in computer science 2809, pp 196–207
Medina-Medina N, Molina-Ortiz F, García-Cabrera L (2006) An adaptation method by feedback in an evolutionary hypermedia system. In: Proceedings, 6th international conference on web engineering (ICWE 2006). Palo Alto, CA, USA, July 12–14, pp 161–168
Molina-Ortiz F, Medina-Medina N, García-Cabrera L (2006) An author tool based on SEM-HP for the creation and evolution of adaptive hypermedia systems. In: First international workshop on adaptation and evolution in web systems engineering (AEWSE 2006), Palo Alto, CA, USA, July 12–14, No. 12
Motelet O, Baloian N, Pino J (2009) Taking advantage of metadata semantics: the case of learning-object-based lesson graphs. J Knowl Inf Syst 20(3): 323–348
Tamine-Lechani L, Boughanem M, Daoud M (2009) Evaluation of contextual information retrieval effectiveness: overview of issues and research. J Knowl Inf Syst. doi:10.1007/s10115-009-0231-1
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Medina-Medina, N., Molina-Ortiz, F. & García-Cabrera, L. Adaptation and user modeling in hypermedia learning environments using the SEM-HP model and the JSEM-HP tool. Knowl Inf Syst 29, 629–656 (2011). https://doi.org/10.1007/s10115-010-0357-1
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DOI: https://doi.org/10.1007/s10115-010-0357-1