Share Paper: Simulating Preservice Teachers’ Information-Seeking Behaviors While Learning with an Intelligent Web Browser

  1. Eric Poitras, University of Utah, United States
  2. Negar Fazeli, University of Utah, United States
Tuesday, March 7 3:00 PM-4:00 PM Bonnell

Abstract: Learner models enable open-ended learning environments (OELEs) to adapt instruction to the specific needs of different learners. Simulation-based methods allow researchers to reproduce and model learner behaviors to evaluate and improve the adaptive capabilities of OELEs in a manner that would not otherwise be possible in a classroom or laboratory setting. We discuss a computer simulation to study the impact of a network-based recommender system towards preservice teachers’ information-seeking behaviors. The findings show that the system is 76% more likely to recommend the most useful resource rather than other comparison documents. We discuss the broader implications for adaptive OELEs that ...