Work

Pedagogically-Driven Courseware Content Generation for Intelligent Tutoring Systems

Year: 2012

Type: article

Abstract: This paper describes a novel approach to adaptive courseware generation. This approach adopts its structure from existing intelligent tutoring systems and introduces a new component called pedagogical scenario model to support pedagogical flexibility in the adaptation process of courseware generation system. The adaptation is carried out using Dynamic Constraint Satisfaction Problem framework, which is a variant of classical Constraint Satisfaction Problem, to deliver courseware tailored to individual learner. Such a framework provides a high level of expressiveness to deal with the particular characteristics of courseware generation problem. Further, it automatically designs a sound courseware satisfying the design constraints imposed by the domain, the pedagogical scenario and learner models.

Source: International Journal of Fuzzy Logic and Intelligent Systems

DOI: 10.5391/ijfis.2012.12.1.77

Authors: Hend Ben Hadji, Ho-Jin Choi, Mohamed Jemni

Institution: Korea Advanced Institute of Science and Technology

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: bronze

Funders: National Research Foundation, Ministry of Education, Science and Technology