[Tuxmath-devel] Personalized, adaptive game-play to improve learning in Tuxmath

[Siddharth K. <sid...@gm...>]

Hi everyone,

If the devs. of Tuxmath agree, I plan to submit a SoC proposal on the idea
of providing "an adaptive game-play to improve learning" in Tuxmath under
PSU <http://summer.cs.pdx.edu/ideas>. The reason for choosing PSU is that
they focus on academic-oriented projects and consider how valuable the the
project could be to the larger open source community.

*Short description*: Tux, of Math command is an open-source educational game
for learning Mathematics. Since the game is quite popular and used by many
schools, my idea focuses on improving the learning of a player/student by
providing a personalized, adaptive game-play. This is done by modelling the
student's knowledge state using a Bayesian network. This also helps a
teacher/supervisor to be provided with a detailed assessment about a
particular student's strengths and weaknesses in individual concepts (read
lessons).

If this idea adds value to the tux community, I would like to work on it
irrespective of whether I make it into SoC, though time would be a
constraint. Do let me know your opinions.

Thanks,
Siddharth