This contribution presents an experimental approach to learner modeling of Historical Text Comprehension (HTC). The Learner Model of Historical Text Comprehension (LMHTC), infers the learner’s cognitive profile and profile descriptor of HTC from his observable behavior imitating the human expert. The experimental research, which resulted in the design of the learner model, is described in detai...

Learner Modeling is a dynamic process. Creating and maintaining models of learners by an interactive system is not a precise task, and it requires guesses and abductive generation of explanation of the learners’ actions. In addition, learners change their behavior while interacting with the system. Therefore, these systems need some mechanisms to maintain the rationality of the learner models c...

The learner model is a key component of any adaptive E-Learning system, including educational games, as it stores the information about the learner, which can then be used to provide personalized experience. Recently, there has been growing interest in creating learner models using educational games. This is due to the limitations of traditional E-Learning systems, since the learner interaction...

In order for interactive learning environments to enrich and individualize the communication with learners, they use learner models, which can be seen as explicit representations in the system of some characteristics of that particular learner. These explicit learner models are created during the interaction with the learner and based on the actions performed by him or her. The created content ...

A major drawback of current e-learning systems is that they are too disconnected from learner’s learning preferences and learning goals. There has been a high demanding for learner centric e-learning systems. Research on personalized e-learning is emerging in recent years. However, most of the current research is focused on user profile modeling, and learning styles research, etc. In this paper...

AMPLIA is an Intelligent Learning Multi-Agent Environment. It is designed to support training of diagnostic reasoning and modeling of domains with complex and uncertain knowledge. AMPLIA focuses on the medical area, where learner’s modeling tasks will consist of creating a Bayesian network for a problem the system will present. A pedagogic negotiation process (managed by an intelligent Mediator...

The notion of competence and learner model is the kernel of the Competency-Based Approach (CBA). However, as of today there is not a commonly learner model or ontology for competencies, we have presented in this paper our ontology-based representation in order to define the CBA. This representation provides a baseline for an e-learning adaptive system in which we plan to implement individual le...

The current paper focuses on modeling actions of high school students with a mathematics tutoring system with Hidden Markov Models. The results indicated that including a hidden state estimate of learner engagement increased the accuracy and predictive power of the models, both within and across tutoring sessions. Groups of students with distinct engagement trajectories were identified, and fin...

To date, few attempts have been made to develop new methods and validate existing ones for automatic evaluation of discourse coherence in the noisy domain of learner texts. We present the first systematic analysis of several methods for assessing coherence under the framework of automated assessment (AA) of learner free-text responses. We examine the predictive power of different coherence mode...

Adaptive learning technology solutions often use a learner model to trace and make pedagogical decisions. The present research introduces formalized methodology for specifying models, logistic knowledge tracing (LKT), that consolidates many extant modeling methods. strength of LKT is the specification symbolic notation system alternative regression models powerful enough specify in literature n...