Choice of feedback strategies

• Melis, Erica ^[1]
  1. [1] German Research Institute for Artificial Intelligence
• Localización: Proceedings of the IADIS International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2005): Porto, Portugal, December 14-16, 2005 / coord. por Kinshuk Kinshuk, Demetrios Sampson, Pedro Isaías, Luís Rodrigues, Patrícia Barbosa, Vol. 1, 2005 (Full Papers), ISBN 972-8924-05-4, págs. 183-189
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • Interactive exercises are a crucial ingredient of technology-enhanced learning. So is feedback to the learner's action. The actual value of feedback depends on how well its function, content, and form match the characteristics of the learner and of the instructional context including pedagogical strategy and learning goal. To support feedback by technology we devise a number of feedback algorithms to choose from and we investigate the choice points at which feedback can be adapted. These different types of adaptations are allocated to appropiate components of an adaptive intelligent learning environment for mathematics.