This paper describes the feedback from the configuration and deployment of a Personal Learning Environment & Network (PLE&N) tool to support peer-based social learning for university students and graduates. An extension of an earlier project in which a generic and PLE&N was deployed for all learners, the current PLE&N is a cloud-based learning system that has been customized for groups of learners and support them with active and continuous learning in a blended environment. Major stereotypes of learners were identified based on learners' background, the academic program they enrolled in, and interviews, which together help to identify the learning and career needs of the individuals. Based on the collected information, stereotypes of learners are identified based on common learning and career needs and personal aspirations. Appropriate sets of tools providing support for communications, collaborations, file storage, information alerts etc. are provided to the various types of learners. Trials have been conducted over 3 academic semesters and key factors for enticing participations, contributions and sustained usage of the PLE&N beyond the passing of a semester are also discussed. [This project is funded by an internal Teaching and Learning grant at The Hong Kong Polytechnic University. For the full proceedings see ED557181. ]