Wim van den Noortgate

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Adaptive item sequencing is a well-established adaptation technique for personalizing learning environments and can be achieved through an intense reciprocity between the item difficulty level and the learner’s proficiency. Consequently, the need to monitor learners’ proficiency level is of great importance. On that account, researchers have brought forward(More)
The popularity of intelligent tutoring systems (ITSs) is increasing rapidly. In order to make learning environments more efficient, researchers have been exploring the possibility of an automatic adaptation of the learning environment to the learner or the context. One of the possible adaptation techniques is adaptive item sequencing by matching the(More)
The evolution from static to dynamic electronic learning environments has stimulated the research on adaptive item sequencing. A prerequisite for adaptive item sequencing, in which the difficulty of the item is constantly matched to the knowledge level of the learner is to have items with a known difficulty level. The difficulty level can be estimated by(More)
A solid understanding of inferential statistics is of major importance for designing and interpreting empirical results in any scientific discipline. However, students are prone to many misconceptions regarding this topic. This article structurally summarizes and describes these misconceptions by presenting a systematic review of publications that provide(More)
This paper reports an interdisciplinary research project on adaptive and pervasive learning environments. Its interdisciplinary nature is built on a firm collaboration between three main research domains, namely, instructional science, methodology, and computer science. In this paper, we first present and discuss mutual, as well as distinctive, vision and(More)