The DynaLearn software, a new intelligent learning environment aimed at supporting a better conceptual and causal understanding of environmental sciences was evaluated. The main goals of these pilot evaluations were to provide information on (1) usability of the software and problems learners encountered, (2) the appreciation of the software, and (3) changes in knowledge and knowledge structure influenced by the activities with DynaLearn. Data were gathered from video analysis, pre-and posttests, and motivation questionnaires. The modeling behavior changed significantly along the use of the different Learning Spaces. Increased causal understanding was documented by an increase of the number of causal expressions from pre- to posttest situation, as well as a significant increase in the degree of abstraction and decrease of wrong causal relations. The results underpin the potential of DynaLearn to support causal and systems based learning in individual and collaborative settings, but also the need for providing additional support and motivating features.
|Title of host publication||Artificial Intelligence in Education|
|Editors||G. Biswas, S. Bull, J. Kay, A. Mitrovic|
|Number of pages||3|
|Publication status||Published - 2011|
|Name||Lecture Notes in Computer Science|