A Two-Level Adaptive Visualization for Information Access to Open-Corpus Educational Resource Export

@inproceedings{citeulike:699794, abstract = {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.}, author = {Ahn, Jae-Wook and Farzan, Rosta and Brusilovsky, Peter}, booktitle = {Workshop on Social Navigation and Community-Based Adaptation Technologies at AH'2006}, citeulike-article-id = {699794}, citeulike-linkout-0 = {http://www.sis.pitt.edu/%7Epaws/SNC_BAT06/crc/ahn.pdf}, editor = {Brusilovsky, Peter and Dron, John and Kurhila, Jakko}, keywords = {adaptive\_web, personalization, visualization}, organization = {NCI}, posted-at = {2008-10-02 03:03:40}, priority = {0}, title = {A Two-Level Adaptive Visualization for Information Access to Open-Corpus Educational Resource}, url = {http://www.sis.pitt.edu/%7Epaws/SNC_BAT06/crc/ahn.pdf}, year = {2006} }

TY - CONF ID - citeulike:699794 L3 - citeulike-article-id:699794 N2 - 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. OR - NCI TI - A Two-Level Adaptive Visualization for Information Access to Open-Corpus Educational Resource T2 - Workshop on Social Navigation and Community-Based Adaptation Technologies at AH'2006 KW - adaptive_web KW - personalization KW - visualization AU - Ahn, Jae-Wook AU - Farzan, Rosta AU - Brusilovsky, Peter A2 - Brusilovsky, Peter A2 - Dron, John A2 - Kurhila, Jakko PY - 2006/// UR - http://www.sis.pitt.edu/%7Epaws/SNC_BAT06/crc/ahn.pdf ER -