Different roles of agents in personalized programming learning environment

Abstract

Researchers had recently begun to investigate various techniques to help learners to improve learning effects using e-learning systems. In this paper, we propose an e-learning architecture with a recommendation module consisting of several different kinds of pedagogical agents which actively participate in learning processes, provoking learners and motivating them to learn more effectively. Different kinds of agents can be introduced in order to support scaffolding activities in learning programming languages and problem solving. © 2014 Springer-Verlag.