Educational Stakeholders’ Independent Evaluation of an Artificial Intelligence-Enabled Adaptive Learning System Using Bayesian Network Predictive Simulations
Artificial intelligence-enabled adaptive learning systems (AI-ALS) are increasingly being deployed in education to enhance the learning needs of students. However, educational stakeholders are required by policy-makers to conduct an independent evaluation of the AI-ALS using a small sample size in a...
Main Authors: | Meng-Leong HOW, Wei Loong David HUNG |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-05-01
|
Series: | Education Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7102/9/2/110 |
Similar Items
-
Artificial intelligence in education : supporting learning throught intelligent and socially informed technology /
by: Chee-Kit, Looi
Published: (2005) -
Workload perception in educational resource recommendation supported by artificial intelligence: a controlled experiment with teachers
by: Alexandre Machado, et al.
Published: (2025-02-01) -
Artificial intelligence in education : shaping the future of learning through intelligent technologies /
by: International Conference on Artificial Intelligence in Education (11th : 2003 : Sydney, Australia), et al.
Published: (2003) -
Artificial Intelligence Supporting Independent Student Learning: An Evaluative Case Study of ChatGPT and Learning to Code
by: Kendall Hartley, et al.
Published: (2024-01-01) -
Student Modelling on Language Teaching Based on Bayesian Networks
by: Selçuk ŞENER, et al.
Published: (2021-06-01)