An explanatory item response theory method for alleviating the cold-start problem in adaptive learning environments

Electronic learning systems have received increasing attention because they are easily accessible to many students and are capable of personalizing the learning environment in response to students’ learning needs. To that end, using fast and flexible algorithms that keep track of the students’ abili...

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Veröffentlicht in:	Behavior Research Methods 2019-04, Vol.51 (2), p.895-909
Hauptverfasser:	Park, Jung Yeon, Joo, Seang-Hwane, Cornillie, Frederik, van der Maas, Han L. J., Van den Noortgate, Wim
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive learning Algorithms Analysis Behavioral Science and Psychology Cognitive Psychology Cold Computer simulation Computers Item response theory Learning Methods Online instruction Psychology School environment Students
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