Discussion:
Introductory material related to adaptive learning
Chris Leong
2014-01-16 01:54:26 UTC
Permalink
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?
Judy Kay
2014-01-16 12:02:33 UTC
Permalink
small world...

Look at reviews by Kalina Yacef and Ryan Baker

What are you doing in this area?



Judy Kay

Chair, Pervasive and Ubiquitous Computing Steering Committee
www.ubicomp.org/sc/
Editor-in-Chief, International Journal of Artificial Intelligence in
Education, http://ijaied.org/journal/
Associate Editor, ACM Transactions on Interactive Intelligent Systems
(TiiS), http://tiis.acm.org/
Editorial Board, User Modeling and User-Adapted Interaction,
http://rd.springer.com/journal/11257

Professor of Computer Science,
http://sydney.edu.au/engineering/it/~judy/<http://www.it.usyd.edu.au/%7Ejudy>
Computer Human Adaptive Interaction Research Group (CHAI)
http://chai.it.usyd.edu.au/

*THE UNIVERSITY OF SYDNEY*
Rm 307, School of IT Building, J12 | The University of Sydney | NSW | 2006
* T* +61 2 9351 4502 | *F* +61 2 9351 3838
*E* *Judy.Kay-E0wInbZyfUpWG/***@public.gmane.org* <firstname.surname-E0wInbZyfUpWG/***@public.gmane.org> | *W*
*sydney.edu.au* <http://sydney.edu.au>

*Inspiring engineering leadership for 130 years *
sydney.edu.au/engineering/leadership



On 16 January 2014 12:54, Chris Leong <walkraft-***@public.gmane.org> wrote:

> 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?
>
Timms, Michael
2014-01-16 23:22:13 UTC
Permalink
Chris,

This is an excellent book that gives a good overview of the field.

http://store.elsevier.com/Building-Intelligent-Interactive-Tutors/Beverly-Woolf/isbn-9780080920047/

Mike

From: Chris Leong <walkraft-***@public.gmane.org<mailto:walkraft-***@public.gmane.org>>
Reply-To: <edm-discuss-***@public.gmane.org<mailto:edm-discuss-***@public.gmane.org>>
Date: Thu, 16 Jan 2014 12:54:26 +1100
To: <edm-discuss-***@public.gmane.org<mailto:edm-discuss-***@public.gmane.org>>
Subject: [edm-discuss] Introductory material related to adaptive learning

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?
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Maxim Skryabin
2014-01-17 00:19:00 UTC
Permalink
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-***@public.gmane.org>:
> 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?
Chris Leong
2014-01-17 01:10:12 UTC
Permalink
@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-***@public.gmane.org> 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-***@public.gmane.org>:
> > 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?
>
Ritu Chaturvedi
2014-01-17 13:42:08 UTC
Permalink
@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-YePwWxS3jS0sA/***@public.gmane.org

-----edm-discuss-bounce-***@public.gmane.org wrote: -----
To: Judy Kay <judy.kay-***@public.gmane.org>
From: Chris Leong
Sent by: edm-discuss-bounce-***@public.gmane.org
Date: 01/16/2014 08:12PM
Cc: edm-discuss-***@public.gmane.org
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-***@public.gmane.org> 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-***@public.gmane.org>:

> 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
2014-01-19 18:36:39 UTC
Permalink
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-YePwWxS3jS0sA/***@public.gmane.org> 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-YePwWxS3jS0sA/***@public.gmane.org
>
> -----edm-discuss-bounce-***@public.gmane.org wrote: -----
> To: Judy Kay <judy.kay-***@public.gmane.org>
> From: Chris Leong
> Sent by: edm-discuss-bounce-***@public.gmane.org
> Date: 01/16/2014 08:12PM
> Cc: edm-discuss-***@public.gmane.org
> 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-***@public.gmane.org> 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-***@public.gmane.org>:
>> > 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-UmI7UKH7rnoS+***@public.gmane.org
---------------------------------
Math and Science Tutor
Pre-Algebra through Calculus
"Creating Confidence through Achievement"
www.DrueGawel.com <http://www.druegawel.com/>
Nidhi Chopra
2014-01-19 19:36:09 UTC
Permalink
adaptive educational hypermedia, papers by yahoo research.


On Mon, Jan 20, 2014 at 12:06 AM, Drue Gawel <Drue-CmuNulodVyMS+***@public.gmane.org> 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-YePwWxS3jS0sA/***@public.gmane.org>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-YePwWxS3jS0sA/***@public.gmane.org
>>
>> -----edm-discuss-bounce-***@public.gmane.org wrote: -----
>> To: Judy Kay <judy.kay-***@public.gmane.org>
>> From: Chris Leong
>> Sent by: edm-discuss-bounce-***@public.gmane.org
>> Date: 01/16/2014 08:12PM
>> Cc: edm-discuss-***@public.gmane.org
>> 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-***@public.gmane.org>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-***@public.gmane.org>:
>>> > 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-UmI7UKH7rnoS+***@public.gmane.org
> ---------------------------------
> Math and Science Tutor
> Pre-Algebra through Calculus
> "Creating Confidence through Achievement"
> www.DrueGawel.com <http://www.druegawel.com/>
>
>
>
Philip Pavlik
2014-01-22 15:09:33 UTC
Permalink
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-lg4TTeReta+***@public.gmane.org
http://optimallearning.org/


On Sun, Jan 19, 2014 at 1:36 PM, Nidhi Chopra <nidhi.chopra-***@public.gmane.org>wrote:

> adaptive educational hypermedia, papers by yahoo research.
>
>
> On Mon, Jan 20, 2014 at 12:06 AM, Drue Gawel <Drue-CmuNulodVyMS+***@public.gmane.org> 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-YePwWxS3jS0sA/***@public.gmane.org>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-YePwWxS3jS0sA/***@public.gmane.org
>>>
>>> -----edm-discuss-bounce-***@public.gmane.org wrote: -----
>>> To: Judy Kay <judy.kay-***@public.gmane.org>
>>> From: Chris Leong
>>> Sent by: edm-discuss-bounce-***@public.gmane.org
>>> Date: 01/16/2014 08:12PM
>>> Cc: edm-discuss-***@public.gmane.org
>>> 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-***@public.gmane.org>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-***@public.gmane.org>:
>>>> > 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-UmI7UKH7rnoS+***@public.gmane.org
>> ---------------------------------
>> Math and Science Tutor
>> Pre-Algebra through Calculus
>> "Creating Confidence through Achievement"
>> www.DrueGawel.com <http://www.druegawel.com/>
>>
>>
>>
>
Ritu Chaturvedi
2014-01-22 17:16:06 UTC
Permalink
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-YePwWxS3jS0sA/***@public.gmane.org

-----edm-discuss-bounce-***@public.gmane.org wrote: -----
To: edm-discuss-***@public.gmane.org
From: Philip Pavlik
Sent by: edm-discuss-bounce-***@public.gmane.org
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-lg4TTeReta+***@public.gmane.org
http://optimallearning.org/

On Sun, Jan 19, 2014 at 1:36 PM, Nidhi Chopra <nidhi.chopra-***@public.gmane.org> wrote:

adaptive educational hypermedia, papers by yahoo research. 


On Mon, Jan 20, 2014 at 12:06 AM, Drue Gawel <Drue-CmuNulodVyMS+***@public.gmane.org> 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-YePwWxS3jS0sA/***@public.gmane.org> 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-YePwWxS3jS0sA/***@public.gmane.org

-----edm-discuss-bounce-***@public.gmane.org wrote: -----

To: Judy Kay <judy.kay-***@public.gmane.org>
From: Chris Leong
Sent by: edm-discuss-bounce-***@public.gmane.org
Date: 01/16/2014 08:12PM
Cc: edm-discuss-***@public.gmane.org
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-***@public.gmane.org> 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-***@public.gmane.org>:

> 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-UmI7UKH7rnoS+***@public.gmane.org
---------------------------------Math and Science Tutor
Pre-Algebra through Calculus
"Creating Confidence through Achievement"
www.DrueGawel.com
Nidhi Chopra
2014-01-22 17:27:15 UTC
Permalink
there is an author to follow - zongmin ma (editor too)


On Wed, Jan 22, 2014 at 10:46 PM, Ritu Chaturvedi <rituch-YePwWxS3jS0sA/***@public.gmane.org>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-YePwWxS3jS0sA/***@public.gmane.org
>
> -----edm-discuss-bounce-***@public.gmane.org wrote: -----
> To: edm-discuss-***@public.gmane.org
> From: Philip Pavlik
> Sent by: edm-discuss-bounce-***@public.gmane.org
> 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-lg4TTeReta+***@public.gmane.org
> http://optimallearning.org/
>
>
> On Sun, Jan 19, 2014 at 1:36 PM, Nidhi Chopra <nidhi.chopra-***@public.gmane.org>wrote:
>
>> adaptive educational hypermedia, papers by yahoo research.
>>
>>
>> On Mon, Jan 20, 2014 at 12:06 AM, Drue Gawel <Drue-CmuNulodVyMS+***@public.gmane.org> 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-YePwWxS3jS0sA/***@public.gmane.org>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-YePwWxS3jS0sA/***@public.gmane.org
>>>>
>>>> -----edm-discuss-bounce-***@public.gmane.org wrote: -----
>>>> To: Judy Kay <judy.kay-***@public.gmane.org>
>>>> From: Chris Leong
>>>> Sent by: edm-discuss-bounce-***@public.gmane.org
>>>> Date: 01/16/2014 08:12PM
>>>> Cc: edm-discuss-***@public.gmane.org
>>>> 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-***@public.gmane.org>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-***@public.gmane.org>:
>>>>> > 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-UmI7UKH7rnoS+***@public.gmane.org
>>> ---------------------------------
>>> Math and Science Tutor
>>> Pre-Algebra through Calculus
>>> "Creating Confidence through Achievement"
>>> www.DrueGawel.com <http://www.druegawel.com/>
>>>
>>>
>>>
>>
>
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