Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:education_technology
|
| gptkbp:alternativeName |
Adaptive Instruction
Adaptive Teaching Personalized Adaptive Learning |
| gptkbp:appliesTo |
Higher education
K-12 education Corporate training Online courses |
| gptkbp:benefit |
Increased engagement
Efficient learning paths Higher retention rates |
| gptkbp:challenge |
Scalability
Data privacy Implementation cost Algorithmic bias |
| gptkbp:component |
Progress tracking
Assessment engine Content recommendation Learning analytics |
| gptkbp:developedBy |
1990s
|
| gptkbp:example |
gptkb:Smart_Sparrow
gptkb:Duolingo gptkb:ALEKS gptkb:Knewton gptkb:DreamBox_Learning |
| gptkbp:field |
gptkb:artificial_intelligence
gptkb:Learning_Sciences Education |
| https://www.w3.org/2000/01/rdf-schema#label |
Adaptive Learning
|
| gptkbp:influencedBy |
Computer science
Cognitive science Educational psychology Learning analytics |
| gptkbp:involves |
Real-time adaptation
Dynamic content delivery Continuous assessment Learner profiling |
| gptkbp:purpose |
Improve learning outcomes
Personalize instruction |
| gptkbp:relatedTo |
E-learning
Intelligent Tutoring Systems Personalized Learning |
| gptkbp:standardizedBy |
gptkb:IMS_Global
IEEE P2247.1 |
| gptkbp:uses |
Data analytics
Machine learning Feedback mechanisms Learner modeling |
| gptkbp:bfsParent |
gptkb:Evolving_Spiking_Neural_Network
|
| gptkbp:bfsLayer |
8
|