[edm-discuss] Re: Introductory material related to adaptive learning
- From: Nidhi Chopra <nidhi.chopra@xxxxxxxxx>
- To: edm-discuss@xxxxxxxxxxxxx
- Date: Mon, 20 Jan 2014 01:06:09 +0530
adaptive educational hypermedia, papers by yahoo research.
On Mon, Jan 20, 2014 at 12:06 AM, Drue Gawel <Drue@xxxxxxxxxxxxx> wrote:
> Not sure if this resource would be of any help - but an interesting
> project:
>
> http://www.role-project.eu/
>
> Drue...
>
>
> On Fri, Jan 17, 2014 at 7:42 AM, Ritu Chaturvedi <rituch@xxxxxxxxxxx>wrote:
>
>> @Chris and Judy,
>>
>> My work is also very similar. Instead of questions, I am looking to use
>> data mining techniques to select examples very similar to the task-at-hand
>> and most appropriate to the student's mastery level of the domain concepts.
>> I have created my own database of examples (in the domain of C programming)
>> and task. But it will very useful if I can get some data about students.
>> Any suggestions/ advice ?
>>
>> Regards,
>>
>> Ritu
>> Ritu Chaturvedi
>> School of Computer Science,
>> University of Windsor,
>> Windsor, ON
>> Canada
>> Phone: 519-253-3000 ext.3771
>> E-mail : rituch@xxxxxxxxxxx
>>
>> -----edm-discuss-bounce@xxxxxxxxxxxxx wrote: -----
>> To: Judy Kay <judy.kay@xxxxxxxxx>
>> From: Chris Leong
>> Sent by: edm-discuss-bounce@xxxxxxxxxxxxx
>> Date: 01/16/2014 08:12PM
>> Cc: edm-discuss@xxxxxxxxxxxxx
>> Subject: [edm-discuss] Re: Introductory material related to adaptive
>> learning
>>
>>
>> @Judy: Small world indeed. The specific task I am working on is as
>> follows:
>>
>> I'm working on an adaptive learning system for high school maths.
>> Students complete questions in quizzes and I need to be able to select
>> questions of the appropriate difficulty level and create a competency
>> metric for measuring the skill of a student at a particular subtopic. We
>> don't have explicit information about the difficulty of the questions or
>> the abilities of the students - so I have to infer both from the data. The
>> questions are broken down into topics and sub-topics (each question is
>> assigned a single topic and sub-topic) and we have a dependency graph
>> indicating which sub-topics depend on other sub-topics, so we can take into
>> account the student's performance on areas outside of the subtopic.
>>
>> I know that Khan Academy uses logistic regression, Knewton's algorithm
>> involves Item Response Theory and Kalman Filters and ALEKS uses Knowledge
>> Space Theory. I'm also looking into belief propagation based on a
>> suggestion from Jono.
>>
>> @Michael, @Maxim: Thanks for your input. I'll check out those resources
>>
>> On 17 January 2014 11:19, Maxim Skryabin <maxim.skryabin@xxxxxxxxx>wrote:
>>
>>> Hi Chris,
>>>
>>> "Adaptive learning system" is very broad and depends on what exactly
>>> is adaptive.
>>>
>>> For example, you can use keywords and references from the following
>>> wikipedia pages:
>>> http://en.wikipedia.org/wiki/Recommender_system
>>> http://en.wikipedia.org/wiki/Computerized_adaptive_testing
>>> I beleve that RS and CAT are useful for adaptive learning system, but
>>> there exist other models and approaches as well.
>>>
>>> Best wishes,
>>> Maxim.
>>>
>>> -------
>>> Maxim Skryabin
>>> Associate Professor
>>> Chair of Higher Mathematics
>>> University ITMO
>>> http://en.ifmo.ru/
>>>
>>> 2014/1/16 Chris Leong <walkraft@xxxxxxxxx>:
>>> > I am working on an adaptive learning system for education. Can anyone
>>> > suggest some introductory reading for me to understand the basics of
>>> this
>>> > field?
>>>
>>
>>
>
>
> --
> Drue Gawel
> 214-310-3978
> Drue@xxxxxxxxxxxxx
> ---------------------------------
> Math and Science Tutor
> Pre-Algebra through Calculus
> "Creating Confidence through Achievement"
> www.DrueGawel.com <http://www.druegawel.com/>
>
>
>
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