Asistentes Interactivos para el Aprendizaje de Algoritmos Voraces

The design of educational software must be based on clear pedagogical objectives. In this article we introduce two interactive assistants, each one intended to assist in a specific greedy algorithm: AMO for the knapsack problem and SEDA for the activity selection problem. We describe their educational objectives by means of the levels in Bloom’s taxonomy and the functions these assistants provide to support such levels. We also describe the method and results of several usability evaluations performed, which were highly positive.