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...

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Veröffentlicht in:	Education sciences Jg. 9; H. 2; S. 110 - 141
Hauptverfasser:	HOW, Meng-Leong, HUNG, Wei Loong David
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.06.2019
Schlagworte:	Adaptive learning Artificial Intelligence Bayesian Bayesian analysis Bayesian Statistics Cognition & reasoning Cognitive ability Control Groups Education policy Educational Environment Educational Policy Educational technology Evaluation Methods evaluation of artificial intelligence educational systems Hypotheses Hypothesis Testing intelligent adaptive learning Intelligent Tutoring Systems Interactive learning Mathematical problems Mathematics education Mathematics teachers nonparametric data Nonparametric statistics Pedagogy Prediction Pretests Posttests Probability Problem Solving Researchers Simulation Stakeholders Students Teaching Teaching Methods United States > US Germany Singapore
ISSN:	2227-7102, 2227-7102
Online-Zugang:	Volltext
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