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"Peer Supported Problem Solving & Mathematical Knowledge"
Ph. D. thesis, The Open University, due end of 2012.
Supervisors: Dr Alexander Mikroyannidis and Dr Peter Scott
The thesis is about adding support for problems and
solutions to planetmath.org to build
an online, peer-produced, mathematics learning
environment. By linking problems into the extant
peer-produced mathematics encyclopedia, we provide a rich
"knowledge layer" that isn't present in other online
learning environments. Conversely, the presence of problems
and problem-solving interactions will provide an important
quality and completeness check on the encyclopedia.
The ability to deliver learning interactions
online in a peer-produced context would represent an
important innovation for mathematics education. The
methods we use will have implications for other technical
fields.
- Historical Background
- The PlanetMath Encyclopedia (wiki) (pdf)
- Theoretical Background
- Literature Review
- Implementation
Methodology
- At each phase, we're trying to detect evidence of learning. ⇒
- Detecting mathematics learning online (preprint, to appear at NLC 2012)
[In order to continue this, here I would most likely want to work with someone who knows more statistics than I do, and would want to build on / feed into one or more of the planned studies, below.]
Studies
- Bluenote: Planned research studies for Joe's thesis
- PlanetMath Redux: Web 2.0 infrastructure for
mathematical problem solving
Once we have a Web 2.0 problem-solving infrastructure, we can see how people use it. ⇒
[This is the "basic layer" of my proposed Ph. D. work. As implementation is ongoing, I can try to specify what I mean by "Web 2.0 problem-solving infrastructure". It should be possible to gather some requirements from potential users as well.]
Once we can detect similar/related problems, etc., we can see how that's useful. ⇒
["Give me an easier related problem" is the classic Polya heuristic. Detecting similar problems (or similar texts in general) would use textual analysis (Concept Forest) and hypertextual analysis (closest path). We also want to be able to detect the various kinds of indicators of learning that were identified in the Methodology section. Ideally this would be built using a nicely-functioning Linked Data stack, so we can quickly analyse paths and relationships.]
Make recommendations based on what's been successful for others in similar situations. ⇒
[Recommendations would tend to come from analyses of quality that come out of applying the proposed methodology in the environment described above. The main question here is whether and how these recommendations improve learning results.]
Future Work
 
Research statement