Reflection Support Using Multi-encoded Tag-clouds

This paper reports on a qualitative study about the application of tag clouds for supporting meta-cognition in self-directed and incidental learning. It analyses the use of a personal tag-cloud visualization of the tags that are used at a public social bookmarking service. The study focuses at the types of meta- cognitive control based on reflection notes of the learners. These notes were analyzed regarding the contents of the reflections as well as regarding their meta-cognitive type. The study has two important outcomes. Firstly, a personal tag cloud can stimulate reflection on the tagging activity of a learner. Secondly, reflecting on the tagging activity is not built into the design of a tag cloud