Informatics systems supporting distance learning do not yet fully exploit the available technological potential. They often do little more than present information without subjecting the teaching content to any form of intelligent processing to tailor it to the needs of the user. Aim of the present work is to define an agent program (in other words the rules that allow logical reasoning to be executed) to set up an intelligent agent that can change the sequencing of a SCORM standard LO according to the student profile, offering the student different learning paths within the same LO even if such alternatives are not inherently present in the LO. This diversification process is based on the known characteristics of the user, her/his prior knowledge, learning style, etc. After consulting this information, the agent can decide what teaching strategy to adopt, in what sequence to present the available teaching content, and therefore in what way to interact with the user. To carry out this guiding action, the agent obtains the information on the user profile, processes it, infers what strategy to adopt and chooses what changes to make according to the LO on which it is operating.
A rules-based system to achieve tailoring of SCORM standard LOs
P. DI BITONTO;ROSELLI, Teresa;ROSSANO, VERONICA
2008-01-01
Abstract
Informatics systems supporting distance learning do not yet fully exploit the available technological potential. They often do little more than present information without subjecting the teaching content to any form of intelligent processing to tailor it to the needs of the user. Aim of the present work is to define an agent program (in other words the rules that allow logical reasoning to be executed) to set up an intelligent agent that can change the sequencing of a SCORM standard LO according to the student profile, offering the student different learning paths within the same LO even if such alternatives are not inherently present in the LO. This diversification process is based on the known characteristics of the user, her/his prior knowledge, learning style, etc. After consulting this information, the agent can decide what teaching strategy to adopt, in what sequence to present the available teaching content, and therefore in what way to interact with the user. To carry out this guiding action, the agent obtains the information on the user profile, processes it, infers what strategy to adopt and chooses what changes to make according to the LO on which it is operating.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
