adaptive learning - eight key questions

Adaptive Learning:Eight Key Questions

Jim Thompson

CogBooks

Putting adaptive learning in the hands of educators since 2005

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Why is adaptive learning so important?

Students …Improved learning effectiveness through personalized supportReduced learning times through personalised pathways

Instructors …Enhanced data and tools for helping studentsIncreased automation of teaching tasks

University / Organizational Administrators …Higher completion rates and reduced delivery costsIncreased use of data driven methods

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It enables personalized learning at massive scale.

Current on-line learning

Course Delivery System

One size fits all

Students / Learners

Personalized

Students / Learners

Cloud-based Adaptive Engine

Course Delivery System

Tailored for each learner

Data

Individual Recommendations

Personalized Adaptive Learning

CogBooks delivers learning in the way that we learn …

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By personalizing the learner’s path at each step,



each individual learns more effectively and more quickly.

By personalizing the learner’s path at each step,

High level definition of adaptive learning used widely in the research literature:

“A technology that automatically adapts learning delivery to an audience or an

individual”

Here are eight key questions to help you to define the type of adaptive learning

tool more specifically…

Eight key attributes of an adaptive system

1. When are the data gathered and recommendations

made?

2. What data drives adaptation?

3. What is adapted?

4. What methods are used to drive adaptation?

5. What end-use applications are supported?

6. How extensive and scalable is the solution?

7. How open is the content development model?

8. How open is the data model?

1. When are the data gathered and recommendations made ?

Pre Course/Module Each Learning ContinuousEpisode

+ Simple More data / more up to date

Formative assessment

- Snapshot only

Application Self-contained, Full courses and curriculaShort learning episodes > 20 mins learning

2. What data are used to drive adaptation?

Other Profile Learning masteryPsychological profile Activity data Demographic data AssessmentsEducation history Prior learning

User profilingInstructor inputetc…

+ Existing data Mastery oriented

Application Profiling for intervention Learning / Learning support

Competency-based learningLarge scale curricula

3. What is adapted?

Style / Context Interventions Sequence

+ High demand Research supported

Data driven

- Lack of research basis Early stage

Application Focus on Presentation Retention / Student Learning focusedSupport

4. What methods drive adaptation?

Rule based / Routine based Full system algorithmic / AI

+ Simple to understand FlexibleHigh level of control Topic agnostic

Efficient to develop

- Time consuming to create Requires expertise

Limited to certain topics

Application Math / Science All topicsIndividual episodesTest Prep

5. What end use applications?

Flash cards

Memory retention tools

Exam/test preparation

Simulations / Labs

Full curriculum learning

Stand-alone or blended?

Etc…

6. How extensive and scalable?

Individual study aids or full courses and curricula?

Subject specific or content agnostic?

Web app or scalable architecture?

7. How open is the content model?

Proprietary / publisher system

Expert developers required

Standard content authoring tools for IDs / authors

Open model allows use of content from any source

8. How accessible are the data and architecture?

(Can I extract and reuse both my student profiles and adaptive designs?)

Closed proprietary system

SCORM / LTI object level integration

Web services level integration

Full access to usage data

Fully standards compliant

CogBooks is an Adaptive learning authoring and delivery platform

Intelligently personalizes to each student at each step using advanced adaptive technology

Robust, scalable, mature, cloud-based platform.

Plug & play upgrade to existing systems

Open content model supports self-authored, open-source and publisher content.

Open data model enables extraction of data


CogBooks in use


‒ Most highly rated in Gates Foundation report on Adaptive Learning, of over 70 organizations reviewed.

‒ Part of Gates Foundation ‘Adaptive Accelerator’ grant program with several U.S. universities

‒ Large U.S. higher education institutions ‒ Education publishers‒ Education and e-learning service providers‒ Large US and UK corporations

Level of advancement of adaptive technology:Gates Foundation commissioned study

http://edgrowthadvisors.com/gatesfoundation/

Maturity of product:Gates Foundation commissioned study

http://edgrowthadvisors.com/gatesfoundation/

If its not personalized, its not for me.


Visit www.cogbooks.com for more valuable whitepapers and discussion on adaptive learning.

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