Memory Map of a Knowledge Representation model used for intelligent personalization of learning activities sequences

A General Knowledge Representation Model of Concepts

“…The updates to student A's MM will be labelled under the domain B, therefore incrementing A's MM, both in this particular context and in general. A more detail explanation as to the methods used for the personalisation of the learning path can be found in (Ramirez & Valdes 2011). segments are shown because the real MMs are much bigger, the largest map is of an entire course on Artificial Intelligence, it has over 90 associations just between Concept-RUs and 40 mixed associations between the Concept-RUs and Skill-RUs.…”

A General Knowledge Representation Model for the Acquisition of Skills and Concepts

“…The model which has a precedent in the Episodic Memory Model of Ramirez and Cooley (Ramirez, Carlos, & Cooley, 1997), and presents similarities with the OAR model, mainly, both store the concepts acquired during a learning process in a structured and flexible way: however, our model proposes a more flexible alternative as to some of the components of the CI framework, but it keeps the same approach of personalisation derived from a unique perception as established in the fundamental theories of CI2. Pedagogical related research in CI focuses in personalisation as can be seen in Ramirez & Valdes, 2011;Ramirez & Sanchez, 2012;Reynoso, Sanchez, Rodriguez, & Alvarez, 2012;Reynoso, Romero, & Romero, 2012).…”

Modeling Knowledge Bases for Automated Decision Making Systems – A Literature Review

“…Knowledge engineering and knowledge modeling are used by most of the authors in a similar manner depending on the target domain [3], [4], [5], [6], [7], [8], [9], [10], [11] and [12]. Chan et al considered in [13] the process of knowledge acquisition and modeling for structuring the knowledge base of an ES.…”

“…Knowledge modeling is also used in the domain of intelligent personalization of cognitive learning activities as Ramirez et al [11] described. Here it is demonstrated how to associate main body units of knowledge to previous and future learned knowledge referring to basic of semantic net.…”