A model of adaptive learning with interactive images — ADELE

Google has enabled the use of interactive image technologies for development of Google maps. The technology is based on presenting only a part of the image, which has sufficient details. This part is selected by appropriate zoom level or navigation through the image. The complete technology pre-processes the image in such a way to enable navigation and zooming and transferring of relatively small files over Internet, instead of transferring the complete high-resolution picture. In this paper we present several ideas how to use this technology in the learning process. We present how this technology can be used in analysis of medical images, and in realization of an adaptive e-Learning environment realized by e-Testing features. ADELE (ADaptive E-LEarning) is the name of the concept we propose in this paper to enable this integration. The realized applications are at least the following: 1) realization of a test with an interactive image, 2) opinion image, 3) collaborative learning with interactive images, and 4) voting image for collaborative learning. Each of these application areas will be described with functional description and analysis.