Sat, 26 Jul 2008 04:18:11 BST CiteULike: Group: Adaptive-Web - with tag e-learning http://www.citeulike.org/group/2118/tag/e-learning CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/group/2118/article/2156097 <i>(2007), pp. 57-66.</i> Real users, real results: examining the limitations of learning styles within AEH Elizabeth Brown Tony Fisher Tim Brailsford doi:10.1145/1286240.1286261 (2007), pp. 57-66. 2007-12-21T17:01:53-00:00 2007 57 66 ACM e-learning learning-style wwweducation http://www.citeulike.org/group/2118/article/1737929 <i>International Conference on Computers in Education (2004)</i> Web Memo: A WWW Browser for Learning with Support for Writing Notes in Web Material Masayoshi Yanagisawa Kiyomi Ito Kanji Akahori International Conference on Computers in Education (2004) 2007-10-08T00:14:46-00:00 2004 International Conference on Computers in Education annotation e-learning study http://www.citeulike.org/group/2118/article/1629573 <i>J. Comput. Small Coll., Vol. 21, No. 3. (February 2006), pp. 91-96.</i> The Kennesaw Database Courseware (KDC): strong points, weak points, and experience using it in a classroom environment Mario Guimaraes doi:10.1145/986537.986646 J. Comput. Small Coll., Vol. 21, No. 3. (February 2006), pp. 91-96. 2007-09-07T05:16:02-00:00 2006 J. Comput. Small Coll. 21 3 91 96 Consortium for Computing Sciences in Colleges database e-learning http://www.citeulike.org/group/2118/article/1629555 <i>(2004), pp. 27-31.</i> Supporting active database learning and training through interactive multimedia Claus Pahl Ronan Barrett Claire Kenny doi:10.1145/1007996.1008007 (2004), pp. 27-31. 2007-09-07T05:03:19-00:00 2004 27 31 ACM Press e-learning programming http://www.citeulike.org/group/2118/article/276784 <i>(2004), pp. 104-113.</i> KnowledgeTree: a distributed architecture for adaptive e-learning Peter Brusilovsky doi:10.1145/1013367.1013386 (2004), pp. 104-113. 2005-08-08T11:27:39-00:00 2004 104 113 ACM Press e-learning personalization http://www.citeulike.org/group/2118/article/1246105 <i>(2005), pp. 289-294.</i> Instructional design and interaction style for educational adaptive hypermedia Alessandro de Assis Michael Danchak Linda Polhemus doi:10.1145/1111360.1111390 (2005), pp. 289-294. 2007-04-23T22:24:20-00:00 2005 289 294 ACM Press adaptive-hypermedia e-learning en learning-style http://www.citeulike.org/group/2118/article/1237732 <i>Expert Syst. Appl., Vol. 33, No. 1. (July 2007), pp. 6-22.</i> Mining learner profile utilizing association rule for web-based learning diagnosis Chih-Ming Chen Ying-Ling Hsieh Shih-Hsun Hsu doi:10.1016/j.eswa.2006.04.025 Expert Syst. Appl., Vol. 33, No. 1. (July 2007), pp. 6-22. 2007-04-20T02:30:34-00:00 2007 Expert Syst. Appl. 0957-4174 33 1 6 22 Pergamon Press, Inc. e-learning usage-mining http://www.citeulike.org/group/2118/article/1144369 <i>(2006), pp. 785-791.</i> Does an interface with less assistance provoke more thoughtful behavior? Christof van Nimwegen Herre van Oostendorp Daniel Burgos Rob Koper (2006), pp. 785-791. 2007-03-06T21:11:23-00:00 2006 785 791 International Society of the Learning Sciences e-learning http://www.citeulike.org/group/2118/article/125408 <i>Applied Intelligence, Vol. 22, No. 2. (March 2005), pp. 83-92.</i> Personalized Course Navigation Based on Grey Relational Analysis Lee Hahn-Ming Huang Chi-Chun Kao Tzu-Ting doi:10.1007/s10489-005-5598-4 Applied Intelligence, Vol. 22, No. 2. (March 2005), pp. 83-92. 2005-03-12T16:29:01-00:00 2005 Applied Intelligence 0924-669X 22 2 83 92 Kluwer Academic Publishers e-learning personalization recommender student-model http://www.citeulike.org/group/2118/article/1015644 <i>J. Educ. Resour. Comput., Vol. 5, No. 3. (September 2005)</i> Individualized exercises for self-assessment of programming knowledge: An evaluation of QuizPACK Peter Brusilovsky Sergey Sosnovsky doi:10.1145/1163405.1163411 J. Educ. Resour. Comput., Vol. 5, No. 3. (September 2005) 2006-12-26T23:53:52-00:00 2005 J. Educ. Resour. Comput. 1531-4278 5 3 ACM Press e-learning www http://www.citeulike.org/group/2118/article/630587 <i>Expert Systems with Applications, Vol. In Press, Corrected Proof</i><br /><br />The Semantic Web (SW) is a meta-web built on the existing WWW to facilitate its access. SW expresses and exploits dependencies between web pages to yield focused search results. Manual annotation of web pages towards building a SW is hindered by at least two user dependent factors: users do not agree on an annotation standard, which can be used to extricate their pages inter-dependencies; and they are simply too lazy to use, undertake and maintain annotation of pages. In this paper, we present an alternative to exploit web pages dependencies: as users surf the net, they create a virtual surfing trail which can be shared with other users, this parallels social navigation for knowledge. We capture and use these trails to allow subsequent intelligent search of the web.People surfing the net with different interests and objectives do not leave similar and mutually beneficial trails. However, individuals in a given interest group produce trails that are of interest to the whole group. Moreover, special interest groups will be higher motivated than casual users to rate utility of pages they browse. In this paper, we introduce our system KAPUST1.2 (Keeper And Processor of User Surfing Trails). It captures user trails as they search the internet. It constructs a semantic web structure from the trails. The semantic web structure is expressed as a conceptual lattice guiding future searches. KAPUST is deployed as an E-learning software for an undergraduate class. First results indicated that indeed it is possible to process surfing trails into useful knowledge structures which can later be used to produce intelligent searching. Evolving semantic web with social navigation Ghassan Beydoun Roman Kultchitsky Grace Manasseh doi:10.1016/j.eswa.2005.11.035 Expert Systems with Applications, Vol. In Press, Corrected Proof 2006-05-14T06:30:12-00:00 Expert Systems with Applications In Press, Corrected Proof e-learning semantic-web social-navigation http://www.citeulike.org/group/2118/article/6712 <i>User Modeling and User-Adapted Interaction, Vol. 14, No. 4., 289.</i> A Framework for the Initialization of Student Models in Web-based Intelligent Tutoring Systems Victoria Tsiriga Maria Virvou doi:10.1023/B:USER.0000043396.14788.cc User Modeling and User-Adapted Interaction, Vol. 14, No. 4., 289. 2004-12-28T15:33:37-00:00 User Modeling and User-Adapted Interaction 0924-1868 14 4 289 Kluwer Academic Publishers e-learning student-model http://www.citeulike.org/group/2118/article/816819 <i>User Modeling and User-Adapted Interaction, Vol. 13, No. 3. (August 2003), pp. 213-267.</i> Personalizing the Interaction in a Web-based Educational Hypermedia System: the case of INSPIRE Kyparisia Papanikolaou Maria Grigoriadou Harry Kornilakis George Magoulas doi:10.1023/A:1024746731130 User Modeling and User-Adapted Interaction, Vol. 13, No. 3. (August 2003), pp. 213-267. 2006-08-25T15:32:05-00:00 2003 User Modeling and User-Adapted Interaction 0924-1868 13 3 213 267 Kluwer Academic Publishers adaptive-hypermedia e-learning individual-differences navigation-support http://www.citeulike.org/group/2118/article/699794 <i>(2006)</i><br /><br />The labyrinthine abundance of educational resources on the Web has greatly expanded the challenge of helping students find, organize, and use resources that will best match their individual goals, interests, and current knowledge. Map-based navigation, using technologies such as the Self-Organizing Maps (SOM), is one solution to this growing challenge. However, as the number of documents organized by SOM increases, the number of documents within each cell becomes too large for the user to make meaningful choices, overwhelming his ability to make accurate decisions. Combining interactivity with the ability to organize a large number of documents, we have developed two-level heterogeneous maps that are augmented with social navigation support. We implemented our idea within the Knowledge Sea II system and ran a pilot study using this system in an Information Retrieval course. A Two-Level Adaptive Visualization for Information Access to Open-Corpus Educational Resource Jae-Wook Ahn Rosta Farzan Peter Brusilovsky (2006) 2006-06-18T10:27:13-00:00 2006 e-learning implicit-feedback information-visualization snc_bat2006 social-navigation http://www.citeulike.org/group/2118/article/697507 <i>(2005)</i> Social Navigation Support in E-Learning: What are the Real Footprints? R Farzan P Brusilovsky (2005) 2006-06-15T20:44:26-00:00 2005 e-learning social-navigation http://www.citeulike.org/group/2118/article/685364 <i></i><br /><br />OurWeb is a system designed for on-line communities to foster engagement into purposeful activities associated with collaboration. In this paper we present the features and functionality of OurWeb, and report the experiences acquired from a university course, where the course structures were designed to emulate an on-line community and the students were required to act as members of a learning community. The experiences from the course suggest that enhancing interactions between the community... Ourweb -- Transparent Groupware For Online Communities Miettinen 2006-06-05T23:14:43-00:00 e-learning social-navigation