The focus of the study is to identify how mediation supports a web-based course on self-regulation. In the context of education, mediation can be defined as a supporter or promoter of learning. Mediation selects, interprets, and amplifies objects for human learners. The study creates an integrated view of mediators as learning promoters based on Vygotsky's (1978) and Feuerstein's theories (1990 for studying mediators in web-based learning. This study presents an integrated definition of mediators which focuses on the task, quality and types of mediators and suggests the following: (1) mediators are learning promoters who trigger, support, and amplify learning; (2) learning requires high-quality mediators, and the quality of mediation is ensured by mediated learning experiences; and (3) mediators can be social/human mediators or tool/symbolic mediators. This integrated view is then evaluated based on the empirical research results.The study analyzes an asynchronous web-based learning environment (IQ Form) from the perspective of mediation; this learning environment was designed for the Finnish Virtual University (FVU). The research setting involves students from the Karelia University of Applied Sciences. The IQ Form environment aims to help students take charge of their own learning process, i.e., develop their self-regulative strategies and skills. The IQ Learn section of IQ Form includes tests, a tutorial with assignments, and a diary to develop students' learning skills and strategies.The research focuses on mediators that support learning self-regulation by analyzing students' experiences of learning support on a web-based course for learning self-regulation. The methodological approach used, on a philosophical level, qualitatively relies on phenomenology, while at the methodological level, the approach relies on the qualitative research tradition. The study includes two pre-studies and one actual research phase. The main source of data was 14 interviews of first-year students in a Business Information Technology degree program. In addition, 12 students were included in the two pre-studies. The interview data were also supported by the students' 56 diary texts, which were comprised of written assignments sent to their online teacher and background information collected from the students. The data analysis developed into a triangulation between qualitative clustering, a structured empirical phenomenological analysis, and a narrative analysis. The phenomenological analysis was decisive for finding the mediators.The research results suggest five kinds of mediators in this web-based selfregulation setting. The phenomenological analysis made it possible to discover the mediators supporting or triggering students' learning processes. The mediators found were the following: own pace, own space, own face, human and tool.The mediators own pace, space and face were born situationally due to the special circumstances of web-based learning; they were not pre-designed or arranged as were the human and tool mediat...