%0 Journal Article
%T Modeling Student Teachers¡¯ Information
%A Eric G. Poitras
%A Negar Fazeli
%A Zachary R. Mayne
%J Journal of Educational Technology Systems
%@ 1541-3810
%D 2018
%R 10.1177/0047239518797086
%X Information seeking and acquisition is fundamental to learning from hypermedia, but student teachers often fail to regulate their own learning. A total of 68 students learned with either a static or a dynamic version of nBrowser, a network-based tutor that adapted recommendations of online resources to support information seeking and acquisition. Results indicated that the student teachers¡¯ ratings for the usefulness of online resources can be predicted with 69% accuracy and 77% accuracy on the entire data set using the fully specified model. The learner model is discussed in designing a recommender system that supports information-seeking behaviors in the context of network-based tutoring systems
%K self-regulated learning
%K open-ended learning environment
%K information seeking
%K network-based tutor
%K recommender system
%U https://journals.sagepub.com/doi/full/10.1177/0047239518797086