Towards Adaptive Learning: A Bayesian Knowledge Tracing Approach to Student Skill Prediction Bayesian Knowledge Tracing for Modeling Daily Living Skills in Children with ASD
Abstract
Autism Spectrum Disorder (ASD) presents challenges in mastering Activities of Daily Living (ADLs), which are essential for independence. This study applies Bayesian Knowledge Tracing (BKT) to model the mastery of five ADL skills—eating, dressing, toothbrushing, combing, and bathing—using data from 27 learners (1,350 responses). BKT parameters, including initial mastery, learning transition, guessing, and slipping, were used to estimate individual learning trajectories. Results showed that eating was the easiest skill (predicted mastery = 0.78), while bathing and combing were the most difficult (
Fields of Study & Subjects
Intelligent Tutoring Systems and Adaptive Learning
Online Learning and Analytics
Autism Spectrum Disorder Research
Publication details
- Journal / source
- SinkrOn
- Volume
- 10
- Issue
- 1
- Pages
- 263–271
- Publication date
- 3 January 2026