[edm-discuss] Re: Introductory material related to adaptive learning
- From: Nidhi Chopra <nidhi.chopra@xxxxxxxxx>
- To: edm-discuss@xxxxxxxxxxxxx
- Date: Wed, 22 Jan 2014 22:57:15 +0530
there is an author to follow - zongmin ma (editor too)
On Wed, Jan 22, 2014 at 10:46 PM, Ritu Chaturvedi <rituch@xxxxxxxxxxx>wrote:
> Thanks everyone - I will explore these options.
>
> 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: edm-discuss@xxxxxxxxxxxxx
> From: Philip Pavlik
> Sent by: edm-discuss-bounce@xxxxxxxxxxxxx
> Date: 01/22/2014 10:11AM
>
> Subject: [edm-discuss] Re: Introductory material related to adaptive
> learning
>
> I'm partial to a chapter I was involved with "A Review of Learner Models
> Used in Intelligent Tutoring Systems" (Chapter 5). We tried to frame it for
> new researchers in the area while still going into a lot of history of the
> development.
>
> Posted here:
> http://www.researchgate.net/publication/258883086_A_Review_of_Learner_Models_Used_in_Intelligent_Tutoring_Systems
>
>
>
> Philip I. Pavlik Jr.
> Institute for Intelligent Systems and Department of Psychology
> University of Memphis
> Memphis, TN 38152
>
> ppavlik@xxxxxxxxxxx
> http://optimallearning.org/
>
>
> On Sun, Jan 19, 2014 at 1:36 PM, Nidhi Chopra <nidhi.chopra@xxxxxxxxx>wrote:
>
>> 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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