A systematic review of AI-driven intelligent tutoring systems (ITS) in K-12 education
Université du Québec à Montréal · HEC Montréal · +1 more institution
Abstract
The use of artificial intelligence in education (AIEd) has grown exponentially in the last decade, particularly intelligent tutoring systems (ITSs). Despite the increased use of ITSs and their promise to improve learning, their real educational value remains unclear. This systematic review aims to identify the effects of ITSs on K-12 students' learning and performance and which experimental designs are currently used to evaluate them. The 28 studies analyzed in this systematic review included a total of 4597 students (N = 4597) and used quasi-experimental designs with varying intervention durations. Overall, our findings suggest that the effects of ITSs on learning and performance in K-12 education are…
Citation impact
- FWCI
- 152.46
- Percentile
- 100%
- References
- 48
Authors
6- ALAngélique LétourneauCorresponding
Université du Québec à Montréal
- MDMarion Deslandes Martineau
Université du Québec à Montréal
- PCPatrick Charland
Université du Québec à Montréal
- AKAlexander-John Karran
HEC Montréal, École des Hautes Études Commerciales
- JBJared Boasen
HEC Montréal, École des Hautes Études Commerciales
Topics & keywords
- Psychological intervention
- Intervention (counseling)
- Diversity (politics)
- Computer science
- Intelligent tutoring system
- Systematic review
- Artificial intelligence
- Psychology
- Quality Education