On evaluation of adaptation engines
Anastasios A. Economides
Abstract
Anastasios A. Economides
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.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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