Tech Reports
Tech Report kmi-10-03 Abstract
Problem solving and mathematical knowledge
Techreport ID: kmi-10-03
Date: 2010
Author(s): Joe Corneli
This report describes the research goals, and intermediate milestones related to an investigation of the relationship between problem solving and mathematical knowledge in an online mathematics community. The proposal is to build a problem-solving layer over the encyclopedia layer that comprises the central feature of the current PlanetMath.org. Research will proceed by examining the activities of people in this space (e.g. connecting, discussing, working, recording, sharing, learning, etc.) and analysis of these activities in context, pursuant to creating useful adaptive recommendations for learners. The investigation will include a qualitative component, based on participant observation of peer learning in this space. We propose to add three core features to the software system that underlies PlanetMath: (1) building blocks of an open platform for testing and evaluating various learning and instruction methods, (2) algorithms for recommendations following the cognitive tutoring approach, and (3) support for end-user participation in developing problem sets and relevant analytics. Outcomes will include a statistical study of how various activity patterns correlate with indicators of learning, and a set of narratives that assemble these key factors into problem-solving and teaching/learning strategies.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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