On-the-fly parameter estimation based on item response theory in item-based adaptive learning systems

Online learning systems are able to offer customized content catered to individual learner’s needs, and have seen growing interest from industry and academia alike in recent years. In contrast to the traditional computerized adaptive testing setting, which has a well-calibrated item bank with new it...

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Veröffentlicht in:	Behavior Research Methods 2023-09, Vol.55 (6), p.3260-3280
Hauptverfasser:	Jiang, Shengyu, Xiao, Jiaying, Wang, Chun
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive learning Algorithms Analysis Bayesian analysis Behavioral Science and Psychology Cognitive Psychology Distance learning Intelligent tutoring systems Internet Item response theory Learning Online education Parameter estimation Psychology Technology application
Online-Zugang:	Volltext
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