Adaptive Model for the Selection of Resources and Activities in a Virtual Learning Environment

Abstract

This paper presents ALPY, an Adaptive System to support Personalized Education in Virtual Learning Environments which favors the selection process of resources and activities for a learning pathway defined by a teacher in a Virtual Learning System. This paper describes the proposed system’s architecture, the design of the profiles in ALPY, and the visual prototype. It focuses on the adaptive model ALPY PLUS, and the collection and processing of data or variables such as learning style, personality, and previous knowledge, profiling students for suggested learning resources and activities. This model has been applied in an Systems Engineering introductory course for students in the Tecnológica de Bolívar University.