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= Learning with Smart Home for Kids = | = Learning with Smart Home for Kids = | ||
= Problem Statement = | |||
== Intelligent Quiz Master == | |||
'''Idea.''' Use a set of arithmic questions (addition, subtraction, fractions) since then it is easy for us to check if it makes sense. | |||
Also, since most children have difficulties with arithmic this is actually useful. | |||
Given a set of questions, the quiz master will test the knowledge of a child, and help the child improve by asking the right questions at the right time. | |||
We will build an application that selects the next question to ask the child, based on the previous answers the child gave to previous questions. | |||
The quiz master has to: | |||
* Find out the level of knowledge the child has, and ask questions that are on the 'edge' of a childs knowledge in order to improve their knowledge. | |||
* Optionally invent new questions, similar to the already existing questions. | |||
In order to do so, we must: | |||
* Define '''distance''' (or '''question similarity''') between questions, which questions are of similar difficulty. So cluster questions based on their difficulty. Note that this will vary per child. | |||
* Simulate the (increasing/decreasing) knowledge of different children. (To be able to train our app.) | |||
* Construct a (large enough) data set to use parts of it for training and validation. | |||
* Find out what the next '''right''' question would be. Our app should do this, based on the question similarity for a certain child. Educational/psychological: what are the best questions to ask? | |||
= Users = | |||
* Children | * Children | ||
* Parents | * Parents | ||
* Teachers | * Teachers | ||
== User Requirements == | |||
= Approach = | |||
== Milestones == | |||
== Deliverables == | |||
= | = Who does what? Planning = | ||
= State of the Art Literature Study = | |||
About similar questions, though used more on Q&A sites to find similar questions. This is not based on difficulty. | |||
<ref> A Topic Clustering Approach to Finding Similar Questions from Large Question and Answer Archives, from http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0071511&type=printable</ref> | |||
<ref> ''Deepa Paranjpe'', Clustering Semantically Similar and Related Questions, from https://nlp.stanford.edu/courses/cs224n/2007/fp/paranjpe.pdf</ref> | |||
== | = References = | ||
<references/> | |||
Revision as of 12:59, 15 February 2018
Learning with Smart Home for Kids
Problem Statement
Intelligent Quiz Master
Idea. Use a set of arithmic questions (addition, subtraction, fractions) since then it is easy for us to check if it makes sense. Also, since most children have difficulties with arithmic this is actually useful.
Given a set of questions, the quiz master will test the knowledge of a child, and help the child improve by asking the right questions at the right time. We will build an application that selects the next question to ask the child, based on the previous answers the child gave to previous questions.
The quiz master has to:
- Find out the level of knowledge the child has, and ask questions that are on the 'edge' of a childs knowledge in order to improve their knowledge.
- Optionally invent new questions, similar to the already existing questions.
In order to do so, we must:
- Define distance (or question similarity) between questions, which questions are of similar difficulty. So cluster questions based on their difficulty. Note that this will vary per child.
- Simulate the (increasing/decreasing) knowledge of different children. (To be able to train our app.)
- Construct a (large enough) data set to use parts of it for training and validation.
- Find out what the next right question would be. Our app should do this, based on the question similarity for a certain child. Educational/psychological: what are the best questions to ask?
Users
- Children
- Parents
- Teachers
User Requirements
Approach
Milestones
Deliverables
Who does what? Planning
State of the Art Literature Study
About similar questions, though used more on Q&A sites to find similar questions. This is not based on difficulty. [1] [2]
References
- ↑ A Topic Clustering Approach to Finding Similar Questions from Large Question and Answer Archives, from http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0071511&type=printable
- ↑ Deepa Paranjpe, Clustering Semantically Similar and Related Questions, from https://nlp.stanford.edu/courses/cs224n/2007/fp/paranjpe.pdf