2007•Annual Conference on ComputersRequires access

On evaluation of adaptation engines

Anastasios A. Economides

Open publisher page 5 citations

Abstract

At the core of adaptive learning systems is an adaptation engine which decides the adaptations based on the learner's profile, educational activity, infrastructure and/or environment. This paper presents a model for adaptation engines. Then it presents 17 criteria for the evaluation of an adaptation engine.

About this research paper

What this paper is about

At the core of adaptive learning systems is an adaptation engine which decides the adaptations based on the learner's profile, educational activity, infrastructure and/or environment. This paper presents a model for adaptation engines. Then it presents 17 criteria for the evaluation of an adaptation engine.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

At the core of adaptive learning systems is an adaptation engine which decides the adaptations based on the learner's profile, educational activity, infrastructure and/or environment. This paper presents a model for adaptation engines. Then it presents 17 criteria for the evaluation of an adaptation engine.

Key concepts: Adaptation (eye), Computer science, Optics, Physics

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