WHAT DO SMARTER QUESTIONS LOOK LIKE? COMPUTER ADAPTIVE TEST: ENGLISH.
Adaptive learning - Eight Key Questions
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Adaptive Learning:Eight Key Questions
Jim Thompson
CogBooks
Putting adaptive learning in the hands of educators since 2005
www.cogbooks.com
www.cogbooks.com/blog.html
#cogbooks
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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Personalized Adaptive Learning
Confidential and Copyright CogBooks Ltd 2012
By personalizing the learner’s path at each step,
Personalized Adaptive Learning
Confidential and Copyright CogBooks Ltd 2012
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
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CogBooks in use
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‒ 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.
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Visit www.cogbooks.com for more valuable whitepapers and discussion on adaptive learning.