In this article we describe five major classification approaches and provide a comparative analysis on a multispectral image. First we define the classification problem as following. Given a sample set of input-output pairs, the objective of supervised classification is to find a function that learns from the given input-output pairs, and predicts an output for any unseen input (but assumed to ...

The proposed tool describes the subject to learn from an evolution of conceptual maps, called Pedagogical Concept Instructional Graph (PCIG), generated by the teacher. A PCIG does not order the concepts following arbitrary relationships among them as in the case of a general concept map, but the concepts are placed depending on the logical order in which they are presented to the student. After...

This paper investigates an approach to providing a general-purpose authoring/tutoring shell for intelligent computer assisted learning systems. The approach is to outline an object-oriented representation of task/goal hierarchies, then to consider the ways in which domain expertise, student information and teacher expertise can be made to interact with such hierarchies. The result is a skeleton...

Cognitive modelling in intelligent tutoring systems aims at identifying a learner's skills and knowledge from his answers to tutor questions and other observed behaviour. In this paper, we propose an innovative variant of Shapiro's algorithmic debugging technique whose application can be used to pin-point learners' erroneous behaviour in terms of an irreducible disagreement to the execution tra...

The paper follows a discourse on computer-assisted language learning. We examine problems of foreign language teaching and learning and introduce a metamodel that can be used to define learning models of language grammar structures in order to support teacher/student interaction. Special attention is paid to the concept of a virtual language lab. Our approach to language education assumes to en...

Teacher and students can use WWW as a limitless source of learning material for nearly any subject. Yet, such abundance of content comes with the problem of finding the right piece at the right time. Conventional adaptive educational systems cannot support personalized access to open-corpus learning material as they rely on manually constructed content models. This paper presents an approach to...

In teacher education at universities, general pedagogical and psychological principles are often treated separately from subject matter knowledge and therefore run the risk of not being applied in the teaching subject. In an experimental study (N = 60 mathematics student teachers) we investigated the effects of providing aspects of general pedagogical/psychological knowledge (PPK) and pedagogic...

Lost in Translation? Teacher Training and Outcomes in High School Economics Classes Using data on 24 teachers and 982 students from a 2006 survey of California high school economics classes, we assess the effects of student and teacher characteristics on student achievement. We estimate value-added models of outcomes on multiple choice and essay exams, with matched classroom pairs for each teac...

Cognitive modelling in intelligent tutoring systems aims at identifying a learner’s skills and knowledge from his answers to tutor questions and other observed behaviour. In this paper, we propose an innovative variant of Shapiro’s algorithmic debugging technique whose application can be used to pin-point learners’ erroneous behaviour in terms of an irreducible disagreement to the execution tra...