Adaptive learning

- Presented by Aditi Desai

Content Outline…ObjectivesIntroductionHistoryComponentsApplicationsExamples

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Adaptive learning

Objectives…At the end of the session, you will be able

to-Describe Adaptive Learning.State applications of Adaptive

Learning.

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Adaptive learning

Introduction…

‘Adaptive Learning’ is a style of learning that focuses on prior successes and the use of these as the basis for developing

future strategies and successes.

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Adaptive learning

Introduction…• Interactive teaching device.• Responses indicate the student’s learning

need.• Computers gauge and adapt the presentation

of the material.• Incorporating the interactivity of one-to-one

basis in electronic education. (e-education).• Aspects from the fields of Computer Science,

Education and Psychology.5

Adaptive learning

Introduction…• Increase is due to the realization of the

fact that traditional non-adaptive approaches cannot help in customizing learning on a large-scale.

• The aim is to change the learner from being a passive receptor of information to being a partner/team member.

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Adaptive learning

Introduction…

• Adaptive Educational Hypermedia• Computer-Based Learning• Adaptive Instruction• Intelligent Tutoring Systems• Computer Based Pedagogical Systems

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Adaptive learning

History…

• Artificial Intelligence Movement, 1970s• Computers gaining the human ability to

adapt• Intelligent tutoring• Cost and size of computers

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Adaptive learning

History…• ‘AutoTutor’, Institute of Intelligent System• Grasser said, ‘Spoken computational

environments may foster social relationships that may enhance learning.’

• More classrooms becoming computerized has led to a steady increase in ALS companies

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Adaptive learning

Expert Model…• Stores information• Simple – solution to question sets, lessons

and tutorials• Complex – expert methodologies

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Adaptive learningComponents

Student Model…• Simple student models involve algorithms• CAT (Computer Adaptive Testing)• Learner answers the questions based on their

level of difficulty, presumed skill level of the subject

• As test advances, the computer selects questions from a narrower range of difficulty

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Adaptive learningComponents

Student Model…• Complex Model algorithms provide a more

extensive diagnosis• Indicates conceptual strengths and

weaknesses

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Adaptive learningComponents

Instructional Model…• Incorporate the best educational tools with

the expert teacher advice for presentation methods

• The level of complexity of Instructional Model depends on the level of Student Model

• ‘Feedback’ in the form of ‘hints’ or ‘popup’ suggestions also fall under this Model

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Adaptive learningComponents

Adaptive e-Learning in Universities…

• UNSW (University of New South Wales)

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Adaptive learning

Applications…

• Knewton Learning Platform

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Adaptive learning

Other Platforms…

• CogBooks• Mati Gati, India’s 1st adaptive learning platform

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Adaptive learning

Any Queries ???

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Adaptive learning

Video Links…• http://www.youtube.com/watch?v=LldxxVRj4FU

• http://www.youtube.com/watch?v=QFKM7r76atM

• http://www.youtube.com/watch?v=o81ztOCLGSo

• http://www.facebook.com/l.php?u=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DSrsp88IQ3cU&h=4AQHutbRf

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Adaptive learning

Thank You !!!

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Adaptive learning