An understanding of how learners interact with eLearning tools and the relationship of different forms of interaction on subsequent learning outcomes is fundamental to improved learning outcomes as well as the effectiveness of eLearning tools. In this paper our main objective is to present methods to extract and analyse some crucial experiences and patterns, from an eLearning tool, that have significant effect on students learning. The proposed methods are presented in the context of a study conducted with undergraduates and postgraduates taking a course inan information system discipline. We demonstrate how the extracted experiences and patterns can be used as feedback to learners to improve learning. Academicians and lecturers can also use the analysis as a gauging instrument to measure the effectiveness of the eLearning tool thereby allowing the tool and learning practices to be improved.