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Corresponding Author

EL-Gamal, A.

Subject Area

Computer and Control Systems Engineering

Article Type

Original Study

Abstract

The development of intelligent tutoring systems and learning environments has become an important issue in both computer science and education. This paper presents pedagogical software for a secondary school biology course. The proposed system integrates the concepts of Brain Based Learning (BBL) and intelligent tutoring system to adapt the learning interface according to the student thinking style. The system is formalized as finite automata with some attributes that allow lemur interaction (image, video, text, color, sound and contents) and some user's brain characteristics (right, left, and integrated thinking style). For the same contents and strategy the information of the learner thinking style enables the system to adapt a specific learning environment. The initial student model is formed through personal data and thinking style. The thinking style is obtained by a diagnostic activity, based on brain assessment test offered to the students. The system enables an adaptation in the output learning environment where the resulting user interface is highly personalized and dynamical.

Keywords

Intelligent Tutoring System (ITS); Brain Based Learning (BBL); Thinking Style; Adaptive Interface (AI); Automata Formulation

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