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Title
Abstract
Introduction
Discussion and Conclusions
References
All Topics
Computer Science
Computer Networks

Supporting Peer-to-Peer User Communities

Profile image of Julita VassilevaJulita Vassileva

2002, Springer eBooks

https://doi.org/10.1007/3-540-36124-3_14
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18 pages

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1 file

Abstract

The paper describes a design of a peer-to-peer system which is being developed currently to support file and service (help, advise) sharing in research groups and groups of learners. The design addresses some non-technical problems in the deployment of P2P systems, such as coping with free riders, creating closely-knit groups of users sharing common interests and trust. It describes a user modelling approach for servents and presents several approaches for motivating users to participate and contribute to the community.

References (23)

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Related topics

  • Computer Science
  • File Sharing
  • Software Deployment

    • Cited by

    From Small Seeds Grow Fruitful Trees: How the PHelpS Peer Help System Stimulated a Diverse and Innovative Research Agenda over 15 Years
    Julita Vassileva

    International Journal of Artificial Intelligence in Education, 2015

    PHelpS was a system that helped Correctional Service Canada (CSC) workers to find appropriate helpers among their peers when they were encountering problems while interacting with the CSC database. This seemingly simple system had substantial, and surprising, ramifications. Over time it transformed each of our perspectives as to the issues facing AIED. In this paper we reflect on the influence of the PHelpS peer help system on our subsequent research agenda as well as some of the broader influences of our work. In particular, we discuss a number of research projects arising out of PHelpS directly or indirectly, including the I-Help (aka iHelp) system, a peer help system that has been widely deployed in university courses; a distributed multi-agent architecture for peer help systems that uses fragmented learner modelling to support its activities; the active user modelling paradigm which views Blearner model^as a computation not a knowledge structure; the ecological approach, a general architecture for learning systems in which patterns mined from learner interactions with learning objects inform pedagogical decisions; investigations, especially into privacy and reputation, arising from the large scale deployment of iHelp supported by evidence mined from iHelp data; and research into novel affective and social motivation techniques. We conclude by discussing the implications of the common perspective that has emerged from these interrelated research projects. This perspective views the goal of learning technology design to be to track learners as they carry out authentic activities, to deeply understand these learners and their learning context, and to provide just in time support for their learning.

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